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Friday, September 6, 2024

Big Five personality traits

The Big Five personality traits

In trait theory, the Big Five personality traits (sometimes known as the five-factor model of personality or OCEAN model) are a group of five unique characteristics used to study personality:

When factor analysis is applied to personality survey data, semantic associations between aspects of personality and specific terms are often applied to the same person. For example, someone described as conscientious is more likely to be described as "always prepared" rather than "messy". These associations suggest five broad dimensions used in common language to describe the human personality, temperament, and psyche.

Those labels for the five factors may be remembered using the acronyms "OCEAN" or "CANOE". Beneath each proposed global factor, there are a number of correlated and more specific primary factors. For example, extraversion is typically associated with qualities such as gregariousness, assertiveness, excitement-seeking, warmth, activity, and positive emotions. These traits are not black and white; each one is treated as a spectrum.

History

The Big Five model was built to understand the relationship between personality and academic behaviour. It was defined by several independent sets of researchers who analysed words describing people's behaviour. These researchers first studied relationships between a large number of words related to personality traits. They made lists of these words shorter by 5–10 times and then used factor analysis to group the remaining traits (with data mostly based upon people's estimations, in self-report questionnaires and peer ratings) in order to find the basic factors of personality.

The initial model was advanced in 1958 by Ernest Tupes and Raymond Christal, research psychologists working at Lackland Air Force Base in Texas, but failed to reach scholars and scientists until the 1980s. In 1990, J.M. Digman advanced his five-factor model of personality, which Lewis Goldberg put at the highest-organised level. These five overarching domains have been found to contain most known personality traits and are assumed to represent the basic structure behind them all.

At least four sets of researchers have worked independently for decades to reflect personality traits in language and have mainly identified the same five factors: Tupes and Christal were first, followed by Goldberg at the Oregon Research Institute, Cattell at the University of Illinois, and finally Costa and McCrae. These four sets of researchers used somewhat different methods in finding the five traits, making the sets of five factors have varying names and meanings. However, all have been found to be strongly correlated with their corresponding factors. Studies indicate that the Big Five traits are not nearly as powerful in predicting and explaining actual behaviour as the more numerous facets or primary traits.

Each of the Big Five personality traits contains two separate, but correlated, aspects reflecting a level of personality below the broad domains but above the many facet scales also making up part of the Big Five. The aspects are labelled as follows: Volatility and Withdrawal for Neuroticism; Enthusiasm and Assertiveness for Extraversion; Intellect and Openness for Openness to Experience; Industriousness and Orderliness for Conscientiousness; and Compassion and Politeness for Agreeableness.

Finding the five factors

In 1884, British scientist Sir Francis Galton became the first person known to consider deriving a comprehensive taxonomy of human personality traits by sampling language. The idea that this may be possible is known as the lexical hypothesis. In 1936, American psychologists Gordon Allport of Harvard University and Henry Odbert of Dartmouth College implemented Galton's hypothesis. They organised for three anonymous people to categorise adjectives from Webster's New International Dictionary and a list of common slang words. The result was a list of 4504 adjectives they believed were descriptive of observable and relatively permanent traits.

In 1943, Raymond Cattell of Harvard University took Allport and Odbert's list and reduced this to a list of roughly 160 terms by eliminating words with very similar meanings. To these, he added terms from 22 other psychological categories, and additional "interest" and "abilities" terms. This resulted in a list of 171 traits. From this he used factor analysis to derive 60 "personality clusters or syndromes" and an additional 7 minor clusters. Cattell then narrowed this down to 35 terms, and later added a 36th factor in the form of an IQ measure. Through factor analysis from 1945 to 1948, he created 11 or 12 factor solutions.

In 1947, Hans Eysenck of University College London published his book Dimensions of Personality. He posited that the two most important personality dimensions were "Extraversion" and "Neuroticism", a term that he coined.

In July 1949, Donald Fiske of the University of Chicago used 22 terms either adapted from Cattell's 1947 study, and through surveys of male university students and statistics derived five factors: "Social Adaptability", "Emotional Control", "Conformity", "Inquiring Intellect", and "Confident Self-expression". In the same year, Cattell, with Maurice Tatsuoka and Herbert Eber, found 4 additional factors, which they believed consisted of information that could only be provided through self-rating. With this understanding, they created the sixteen factor 16PF Questionnaire.

In 1953, John W French of Educational Testing Service published an extensive meta-analysis of personality trait factor studies.

In 1957, Ernest Tupes of the United States Air Force undertook a personality trait study of US Air Force officers. Each was rated by their peers using Cattell's 35 terms (or in some cases, the 30 most reliable terms). In 1958, Tupes and Raymond Christal began a US Air Force study by taking 37 personality factors and other data found in Cattell's 1947 paper, Fiske's 1949 paper, and Tupes' 1957 paper. Through statistical analysis, they derived five factors they labeled "Surgency", "Agreeableness", "Dependability", "Emotional Stability", and "Culture". In addition to the influence of Cattell and Fiske's work, they strongly noted the influence of French's 1953 study. Tupes and Christal further tested and explained their 1958 work in a 1961 paper.

Warren Norman of the University of Michigan replicated Tupes and Christal's work in 1963. He relabeled "Surgency" as "Extroversion or Surgency", and "Dependability" as "Conscientiousness". He also found four subordinate scales for each factor. Norman's paper was much more read than Tupes and Christal's papers had been. Norman's later Oregon Research Institute colleague Lewis Goldberg continued this work.

In the 4th edition of the 16PF Questionnaire released in 1968, 5 "global factors" derived from the 16 factors were identified: "Extraversion", "Independence", "Anxiety", "Self-control" and "Tough-mindedness". 16PF advocates have since called these "the original Big 5".

Hiatus in research

During the 1970s, the changing zeitgeist made publication of personality research difficult. In his 1968 book Personality and Assessment, Walter Mischel asserted that personality instruments could not predict behavior with a correlation of more than 0.3. Social psychologists like Mischel argued that attitudes and behavior were not stable, but varied with the situation. Predicting behavior from personality instruments was claimed to be impossible.

Renewed attention

In 1978, Paul Costa and Robert McCrae of the National Institutes of Health published a book chapter describing their Neuroticism-Extroversion-Openness (NEO) model. The model was based on the three factors in its name. They used Eysenck's concept of "Extroversion" rather than Carl Jung's. Each factor had six facets. The authors expanded their explanation of the model in subsequent papers.

Also in 1978, British psychologist Peter Saville of Brunel University applied statistical analysis to 16PF results, and determined that the model could be reduced to five factors, "Anxiety", "Extraversion", "Warmth", "Imagination" and "Conscientiousness".

At a 1980 symposium in Honolulu, Lewis Goldberg, Naomi Takemoto-Chock, Andrew Comrey, and John M. Digman, reviewed the available personality instruments of the day. In 1981, Digman and Takemoto-Chock of the University of Hawaii reanalysed data from Cattell, Tupes, Norman, Fiske and Digman. They re-affirmed the validity of the five factors, naming them "Friendly Compliance vs. Hostile Non-compliance", "Extraversion vs. Introversion", "Ego Strength vs. Emotional Disorganization", "Will to Achieve" and "Intellect". They also found weak evidence for the existence of a sixth factor, "Culture".

Peter Saville and his team included the five-factor "Pentagon" model as part of the Occupational Personality Questionnaires (OPQ) in 1984. This was the first commercially available Big Five test. Its factors are "Extroversion", "Vigorous", "Methodical", "Emotional Stability", and "Abstract".

This was closely followed by another commercial test, the NEO PI three-factor personality inventory, published by Costa and McCrae in 1985. It used the three NEO factors. The methodology employed in constructing the NEO instruments has since been subject to critical scrutiny.

Emerging methodologies increasingly confirmed personality theories during the 1980s. Though generally failing to predict single instances of behavior, researchers found that they could predict patterns of behavior by aggregating large numbers of observations. As a result, correlations between personality and behavior increased substantially, and it became clear that "personality" did in fact exist.

In 1992, the NEO PI evolved into the NEO PI-R, adding the factors "Agreeableness" and "Conscientiousness", and becoming a Big Five instrument. This set the names for the factors that are now most commonly used. The NEO maintainers call their model the "Five Factor Model" (FFM). Each NEO personality dimension has six subordinate facets.

Subsequent developments

Wim Hofstee at the University of Groningen used a lexical hypothesis approach with the Dutch language to develop what became the International Personality Item Pool in the 1990s. Further development in Germany and the United States saw the pool based on three languages. Its questions and results have been mapped to various Big Five personality typing models.

Kibeom Lee and Michael Ashton released a book describing their HEXACO model in 2004. It adds a sixth factor, "Honesty-Humility" to the five (which it calls "Emotionality", "Extraversion", "Agreeableness", "Conscientiousness", and "Openness to Experience"). Each of these factors has four facets.

In 2007, Colin DeYoung, Lena C. Quilty and Jordan Peterson concluded that the 10 aspects of the Big Five may have distinct biological substrates. This was derived through factor analyses of two data samples with the International Personality Item Pool, followed by cross-correlation with scores derived from 10 genetic factors identified as underlying the shared variance among the Revised NEO Personality Inventory facets.

By 2009, personality and social psychologists generally agreed that both personal and situational variables are needed to account for human behavior.

A FFM-associated test was used by Cambridge Analytica, and was part of the "psychographic profiling" controversy during the 2016 US presidential election.

Descriptions of the particular personality traits

Openness to experience

Openness to experience is a general appreciation for art, emotion, adventure, unusual ideas, imagination, curiosity, and variety of experience. People who are open to experience are intellectually curious, open to emotion, sensitive to beauty, and willing to try new things. They tend to be, when compared to closed people, more creative and more aware of their feelings. They are also more likely to hold unconventional beliefs. Open people can be perceived as unpredictable or lacking focus, and more likely to engage in risky behaviour or drug-taking. Moreover, individuals with high openness are said to pursue self-actualisation specifically by seeking out intense, euphoric experiences. Conversely, those with low openness want to be fulfilled by persevering and are characterised as pragmatic and data-driven – sometimes even perceived to be dogmatic and closed-minded. Some disagreement remains about how to interpret and contextualise the openness factor as there is a lack of biological support for this particular trait. Openness has not shown a significant association with any brain regions as opposed to the other four traits which did when using brain imaging to detect changes in volume associated with each trait.

Sample items

  • I have a rich vocabulary.
  • I have a vivid imagination.
  • I have excellent ideas.
  • I am quick to understand things.
  • I use difficult words.
  • I spend time reflecting on things.
  • I am full of ideas.
  • I have difficulty understanding abstract ideas. (Reversed)
  • I am not interested in abstract ideas. (Reversed)
  • I do not have a good imagination. (Reversed)

Conscientiousness

Conscientiousness is a tendency to be self-disciplined, act dutifully, and strive for achievement against measures or outside expectations. It is related to people's level of impulse control, regulation, and direction. High conscientiousness is often perceived as being stubborn and focused. Low conscientiousness is associated with flexibility and spontaneity, but can also appear as sloppiness and lack of reliability. High conscientiousness indicates a preference for planned rather than spontaneous behaviour.

Sample items

  • I am always prepared.
  • I pay attention to details.
  • I get chores done right away.
  • I follow a schedule.
  • I am exacting in my work.
  • I do not like order. (Reversed)
  • I leave my belongings around. (Reversed)
  • I make a mess of things. (Reversed)
  • I often forget to put things back in their proper place. (Reversed)
  • I shirk my duties. (Reversed)

Extraversion

Extraversion is characterised by breadth of activities (as opposed to depth), surgency from external activities/situations, and energy creation from external means. The trait is marked by pronounced engagement with the external world. Extraverts enjoy interacting with people, and are often perceived as energetic. They tend to be enthusiastic and action-oriented. They possess high group visibility, like to talk, and assert themselves. Extraverts may appear more dominant in social settings, as opposed to introverts in that setting.

Introverts have lower social engagement and energy levels than extraverts. They tend to seem quiet, low-key, deliberate, and less involved in the social world. Their lack of social involvement should not be interpreted as shyness or depression, but as greater independence of their social world than extraverts. Introverts need less stimulation and more time alone than extraverts. This does not mean that they are unfriendly or antisocial; rather, they are aloof and reserved in social situations.

Generally, people are a combination of extraversion and introversion, with personality psychologist Hans Eysenck suggesting a model by which differences in their brains produce these traits.

Sample items

  • I am the life of the party.
  • I feel comfortable around people.
  • I start conversations.
  • I talk to a lot of different people at parties.
  • I do not mind being the center of attention.
  • I do not talk a lot. (Reversed)
  • I keep in the background. (Reversed)
  • I have little to say. (Reversed)
  • I do not like to draw attention to myself. (Reversed)
  • I am quiet around strangers. (Reversed)

Agreeableness

Agreeableness is the general concern for social harmony. Agreeable individuals value getting along with others. They are generally considerate, kind, generous, trusting and trustworthy, helpful, and willing to compromise their interests with others. Agreeable people also have an optimistic view of human nature.

Disagreeable individuals place self-interest above getting along with others. They are generally unconcerned with others' well-being and are less likely to extend themselves for other people. Sometimes their skepticism about others' motives causes them to be suspicious, unfriendly, and uncooperative. Disagreeable people are often competitive or challenging, which can be seen as argumentative or untrustworthy.

Because agreeableness is a social trait, research has shown that one's agreeableness positively correlates with the quality of relationships with one's team members. Agreeableness also positively predicts transformational leadership skills. In a study conducted among 169 participants in leadership positions in a variety of professions, individuals were asked to take a personality test and be directly evaluated by supervised subordinates. Very agreeable leaders were more likely to be considered transformational rather than transactional. Although the relationship was not strong (r=0.32, β=0.28, p<0.01), it was the strongest of the Big Five traits. However, the same study could not predict leadership effectiveness as evaluated by the leader's direct supervisor.

Conversely, agreeableness has been found to be negatively related to transactional leadership in the military. A study of Asian military units showed that agreeable people are more likely to be poor transactional leaders. Therefore, with further research, organisations may be able to determine an individual's potential for performance based on their personality traits. For instance, in their journal article "Which Personality Attributes Are Most Important in the Workplace?" Paul Sackett and Philip Walmsley claim that conscientiousness and agreeableness are "important to success across many different jobs."

Sample items

  • I am interested in people.
  • I sympathise with others' feelings.
  • I have a soft heart.
  • I take time out for others.
  • I feel others' emotions.
  • I make people feel at ease.
  • I am not really interested in others. (Reversed)
  • I insult people. (Reversed)
  • I am not interested in other people's problems. (Reversed)
  • I feel little concern for others. (Reversed)

Neuroticism

Neuroticism is the tendency to have strong negative emotions, such as anger, anxiety, or depression. It is sometimes called emotional instability, or is reversed and referred to as emotional stability. According to Hans Eysenck's (1967) theory of personality, neuroticism is associated with low tolerance for stress or strongly disliked changes. Neuroticism is a classic temperament trait that has been studied in temperament research for decades, even before it was adapted by the Five Factor Model. Neurotic people are emotionally reactive and vulnerable to stress. They are more likely to interpret ordinary situations as threatening. They can perceive minor frustrations as hopelessly difficult. Their negative emotional reactions tend to stay for unusually long periods of time, which means they are often in a bad mood. For instance, neuroticism is connected to pessimism toward work, to certainty that work hinders personal relationships, and to higher levels of anxiety from the pressures at work. Furthermore, neurotic people may display more skin-conductance reactivity than calm and composed people. These problems in emotional regulation can make a neurotic person think less clearly, make worse decisions, and cope less effectively with stress. Being disappointed with one's life achievements can make one more neurotic and increase one's chances of falling into clinical depression. Moreover, neurotic individuals tend to experience more negative life events, but neuroticism also changes in response to positive and negative life experiences. Also, neurotic people tend to have worse psychological well-being.

At the other end of the scale, less neurotic individuals are less easily upset and are less emotionally reactive. They tend to be calm, emotionally stable, and free from persistent negative feelings. Freedom from negative feelings does not mean that low scorers experience a lot of positive feelings; that is related to extraversion instead.

Neuroticism is similar but not identical to being neurotic in the Freudian sense (i.e., neurosis). Some psychologists prefer to call neuroticism by the term emotional instability to differentiate it from the term neurotic in a career test.

Sample items

  • I get stressed out easily.
  • I worry about things.
  • I am easily disturbed.
  • I get upset easily.
  • I change my mood a lot.
  • I have frequent mood swings.
  • I get irritated easily.
  • I often feel blue.
  • I am relaxed most of the time. (Reversed)
  • I seldom feel blue. (Reversed)

Biological and developmental factors

The factors that influence a personality are called the determinants of personality. These factors determine the traits which a person develops in the course of development from a child.

Temperament and personality

There are debates between temperament researchers and personality researchers as to whether or not biologically based differences define a concept of temperament or a part of personality. The presence of such differences in pre-cultural individuals (such as animals or young infants) suggests that they belong to temperament since personality is a socio-cultural concept. For this reason developmental psychologists generally interpret individual differences in children as an expression of temperament rather than personality. Some researchers argue that temperaments and personality traits are age-specific demonstrations of virtually the same internal qualities. Some believe that early childhood temperaments may become adolescent and adult personality traits as individuals' basic genetic characteristics interact with their changing environments to various degrees.

Researchers of adult temperament point out that, similarly to sex, age, and mental illness, temperament is based on biochemical systems whereas personality is a product of socialisation of an individual possessing these four types of features. Temperament interacts with socio-cultural factors, but, similar to sex and age, still cannot be controlled or easily changed by these factors. Therefore, it is suggested that temperament (neurochemically based individual differences) should be kept as an independent concept for further studies and not be confused with personality (culturally-based individual differences, reflected in the origin of the word "persona" (Lat) as a "social mask").

Moreover, temperament refers to dynamic features of behaviour (energetic, tempo, sensitivity, and emotionality-related), whereas personality is to be considered a psycho-social construct comprising the content characteristics of human behaviour (such as values, attitudes, habits, preferences, personal history, self-image). Temperament researchers point out that the lack of attention to surviving temperament research by the creators of the Big Five model led to an overlap between its dimensions and dimensions described in multiple temperament models much earlier. For example, neuroticism reflects the traditional temperament dimension of emotionality studied by Jerome Kagan's group since the '60s. Extraversion was also first introduced as a temperament type by Jung from the '20s.

Heritability

Personality research often uses twin studies to determine how much heritable and environmental factors contribute to the Big Five personality traits.

A 1996 behavioural genetics study of twins suggested that heritability (the degree of variation in a trait within a population that is due to genetic variation in that population) and environmental factors both influence all five factors to the same degree. Among four twin studies examined in 2003, the mean percentage for heritability was calculated for each personality and it was concluded that heritability influenced the five factors broadly. The self-report measures were as follows: openness to experience was estimated to have a 57% genetic influence, extraversion 54%, conscientiousness 49%, neuroticism 48%, and agreeableness 42%.

Non-humans

The Big 5 personality traits can be seen in chimpanzees.

The Big Five personality traits have been assessed in some non-human species but methodology is debatable. In one series of studies, human ratings of chimpanzees using the Hominoid Personality Questionnaire, revealed factors of extraversion, conscientiousness and agreeableness– as well as an additional factor of dominance–across hundreds of chimpanzees in zoological parks, a large naturalistic sanctuary, and a research laboratory. Neuroticism and openness factors were found in an original zoo sample, but were not replicated in a new zoo sample or in other settings (perhaps reflecting the design of the CPQ). A study review found that markers for the three dimensions extraversion, neuroticism, and agreeableness were found most consistently across different species, followed by openness; only chimpanzees showed markers for conscientious behavior.

A study completed in 2020 concluded that dolphins have some similar personality traits to humans. Both are large brained intelligent animals but have evolved separately for millions of years.

Development during childhood and adolescence

Research on the Big Five, and personality in general, has focused primarily on individual differences in adulthood, rather than in childhood and adolescence, and often include temperament traits. Recently, there has been growing recognition of the need to study child and adolescent personality trait development in order to understand how traits develop and change throughout the lifespan.

Recent studies have begun to explore the developmental origins and trajectories of the Big Five among children and adolescents, especially those that relate to temperament. Many researchers have sought to distinguish between personality and temperament. Temperament often refers to early behavioral and affective characteristics that are thought to be driven primarily by genes. Models of temperament often include four trait dimensions: surgency/sociability, negative emotionality, persistence/effortful control, and activity level. Some of these differences in temperament are evident at, if not before, birth. For example, both parents and researchers recognize that some newborn infants are peaceful and easily soothed while others are comparatively fussy and hard to calm. Unlike temperament, however, many researchers view the development of personality as gradually occurring throughout childhood. Contrary to some researchers who question whether children have stable personality traits, Big Five or otherwise, most researchers contend that there are significant psychological differences between children that are associated with relatively stable, distinct, and salient behavior patterns.

The structure, manifestations, and development of the Big Five in childhood and adolescence have been studied using a variety of methods, including parent- and teacher-ratings, preadolescent and adolescent self- and peer-ratings, and observations of parent-child interactions. Results from these studies support the relative stability of personality traits across the human lifespan, at least from preschool age through adulthood. More specifically, research suggests that four of the Big Five – namely Extraversion, Neuroticism, Conscientiousness, and Agreeableness – reliably describe personality differences in childhood, adolescence, and adulthood. However, some evidence suggests that Openness may not be a fundamental, stable part of childhood personality. Although some researchers have found that Openness in children and adolescents relates to attributes such as creativity, curiosity, imagination, and intellect, many researchers have failed to find distinct individual differences in Openness in childhood and early adolescence. Potentially, Openness may (a) manifest in unique, currently unknown ways in childhood or (b) may only manifest as children develop socially and cognitively. Other studies have found evidence for all of the Big Five traits in childhood and adolescence as well as two other child-specific traits: Irritability and Activity. Despite these specific differences, the majority of findings suggest that personality traits – particularly Extraversion, Neuroticism, Conscientiousness, and Agreeableness – are evident in childhood and adolescence and are associated with distinct social-emotional patterns of behavior that are largely consistent with adult manifestations of those same personality traits. Some researchers have proposed the youth personality trait is best described by six trait dimensions: neuroticism, extraversion, openness to experience, agreeableness, conscientiousness, and activity. Despite some preliminary evidence for this "Little Six" model, research in this area has been delayed by a lack of available measures.

Previous research has found evidence that most adults become more agreeable and conscientious and less neurotic as they age. This has been referred to as the maturation effect. Many researchers have sought to investigate how trends in adult personality development compare to trends in youth personality development. Two main population-level indices have been important in this area of research: rank-order consistency and mean-level consistency. Rank-order consistency indicates the relative placement of individuals within a group. Mean-level consistency indicates whether groups increase or decrease on certain traits throughout the lifetime.

Findings from these studies indicate that, consistent with adult personality trends, youth personality becomes increasingly more stable in terms of rank-order throughout childhood. Unlike adult personality research, which indicates that people become agreeable, conscientious, and emotionally stable with age, some findings in youth personality research have indicated that mean levels of agreeableness, conscientiousness, and openness to experience decline from late childhood to late adolescence. The disruption hypothesis, which proposes that biological, social, and psychological changes experienced during youth result in temporary dips in maturity, has been proposed to explain these findings.

Extraversion/positive emotionality

In Big Five studies, extraversion has been associated with surgency. Children with high Extraversion are energetic, talkative, social, and dominant with children and adults, whereas children with low extraversion tend to be quiet, calm, inhibited, and submissive to other children and adults. Individual differences in extraversion first manifest in infancy as varying levels of positive emotionality. These differences in turn predict social and physical activity during later childhood and may represent, or be associated with, the behavioral activation system. In children, Extraversion/Positive Emotionality includes four sub-traits: three of these (activity, sociability, and shyness) are similar to the previously described traits of temperament; the other is dominance.

  • Activity: Similarly to findings in temperament research, children with high activity tend to have high energy levels and more intense and frequent motor activity compared to their peers. Salient differences in activity reliably manifest in infancy, persist through adolescence, and fade as motor activity decreases in adulthood or potentially develops into talkativeness.
  • Dominance: Children with high dominance tend to influence the behavior of others, particularly their peers, to obtain desirable rewards or outcomes. Such children are generally skilled at organizing activities and games and deceiving others by controlling their nonverbal behavior.
  • Shyness: Children with high shyness are generally socially withdrawn, nervous, and inhibited around strangers. In time, such children may become fearful even around "known others", especially if their peers reject them. Similar pattern was described in temperament longitudinal studies of shyness
  • Sociability: Children with high sociability generally prefer to be with others rather than alone. During middle childhood, the distinction between low sociability and high shyness becomes more pronounced, particularly as children gain greater control over how and where they spend their time.

Development throughout adulthood

Many studies of longitudinal data, which correlate people's test scores over time, and cross-sectional data, which compare personality levels across different age groups, show a high degree of stability in personality traits during adulthood, especially Neuroticism that is often regarded as a temperament trait  similarly to longitudinal research in temperament for the same traits. It is shown that the personality stabilizes for working-age individuals within about four years after starting working. There is also little evidence that adverse life events can have any significant impact on the personality of individuals. More recent research and meta-analyses of previous studies, however, indicate that change occurs in all five traits at various points in the lifespan. The new research shows evidence for a maturation effect. On average, levels of agreeableness and conscientiousness typically increase with time, whereas extraversion, neuroticism, and openness tend to decrease. Research has also demonstrated that changes in Big Five personality traits depend on the individual's current stage of development. For example, levels of agreeableness and conscientiousness demonstrate a negative trend during childhood and early adolescence before trending upwards during late adolescence and into adulthood. In addition to these group effects, there are individual differences: different people demonstrate unique patterns of change at all stages of life.

In addition, some research (Fleeson, 2001) suggests that the Big Five should not be conceived of as dichotomies (such as extraversion vs. introversion) but as continua. Each individual has the capacity to move along each dimension as circumstances (social or temporal) change. He is or she is therefore not simply on one end of each trait dichotomy but is a blend of both, exhibiting some characteristics more often than others:

Research regarding personality with growing age has suggested that as individuals enter their elder years (79–86), those with lower IQ see a raise in extraversion, but a decline in conscientiousness and physical well-being.

Group differences

Gender differences

Some cross-cultural research has shown some patterns of gender differences on responses to the NEO-PI-R and the Big Five Inventory. For example, women consistently report higher Neuroticism, Agreeableness, warmth (an extraversion facet) and openness to feelings, and men often report higher assertiveness (a facet of extraversion) and openness to ideas as assessed by the NEO-PI-R.

A study of gender differences in 55 nations using the Big Five Inventory found that women tended to be somewhat higher than men in neuroticism, extraversion, agreeableness, and conscientiousness. The difference in neuroticism was the most prominent and consistent, with significant differences found in 49 of the 55 nations surveyed.

Gender differences in personality traits are largest in prosperous, healthy, and more gender-egalitarian nations. The explanation for this, as stated by the researchers of a 2001 paper, is that actions by women in individualistic, egalitarian countries are more likely to be attributed to their personality, rather than being attributed to ascribed gender roles within collectivist, traditional countries.

Measured differences in the magnitude of sex differences between more or less developed world regions were caused by the changes in the measured personalities of men, not women, in these respective regions. That is, men in highly developed world regions were less neurotic, less extraverted, less conscientious and less agreeable compared to men in less developed world regions. Women, on the other hand tended not to differ in personality traits across regions.

Birth-order differences

Frank Sulloway argues that firstborns are more conscientious, more socially dominant, less agreeable, and less open to new ideas compared to siblings that were born later. Large-scale studies using random samples and self-report personality tests, however, have found milder effects than Sulloway claimed, or no significant effects of birth order on personality. A study using the Project Talent data, which is a large-scale representative survey of American high school students, with 272,003 eligible participants, found statistically significant but very small effects (the average absolute correlation between birth order and personality was .02) of birth order on personality, such that firstborns were slightly more conscientious, dominant, and agreeable, while also being less neurotic and less sociable. Parental socioeconomic status and participant gender had much larger correlations with personality.

In 2002, the Journal of Psychology posted a Big Five Personality Trait Difference; where researchers explored the relationship between the five-factor model and the Universal-Diverse Orientation (UDO) in counselor trainees. (Thompson, R., Brossart, D., and Mivielle, A., 2002). UDO is known as one social attitude that produces a strong awareness and/or acceptance towards the similarities and differences among individuals. (Miville, M., Romas, J., Johnson, J., and Lon, R. 2002) The study found that the counselor trainees that are more open to the idea of creative expression (a facet of Openness to Experience, Openness to Aesthetics) among individuals are more likely to work with a diverse group of clients, and feel comfortable in their role.

Cultural differences

Individual differences in personality traits are widely understood to be conditioned by cultural context.

Research into the Big Five has been pursued in a variety of languages and cultures, such as German, Chinese, and South Asian. For example, Thompson has claimed to find the Big Five structure across several cultures using an international English language scale. Cheung, van de Vijver, and Leong (2011) suggest, however, that the Openness factor is particularly unsupported in Asian countries and that a different fifth factor is identified.

Sopagna Eap et al. (2008) found that European-American men scored higher than Asian-American men on extroversion, conscientiousness, and openness, while Asian-American men scored higher than European-American men on neuroticism. Benet-Martínez and Karakitapoglu-Aygün (2003) arrived at similar results.

Recent work has found relationships between Geert Hofstede's cultural factors, Individualism, Power Distance, Masculinity, and Uncertainty Avoidance, with the average Big Five scores in a country. For instance, the degree to which a country values individualism correlates with its average extraversion, whereas people living in cultures which are accepting of large inequalities in their power structures tend to score somewhat higher on conscientiousness.

A 2017 study has found that countries' average personality trait levels are correlated with their political systems. Countries with higher average trait Openness tended to have more democratic institutions, an association that held even after factoring out other relevant influences such as economic development.

Attempts to replicate the Big Five have succeeded in some countries but not in others. Some research suggests, for instance, that Hungarians do not have a single agreeableness factor. Other researchers have found evidence for agreeableness but not for other factors.

Health

Personality and dementia

Some diseases cause changes in personality. For example, although gradual memory impairment is the hallmark feature of Alzheimer's disease, a systematic review of personality changes in Alzheimer's disease by Robins Wahlin and Byrne, published in 2011, found systematic and consistent trait changes mapped to the Big Five. The largest change observed was a decrease in conscientiousness. The next most significant changes were an increase in Neuroticism and decrease in Extraversion, but Openness and Agreeableness were also decreased. These changes in personality could assist with early diagnosis.

A study published in 2023 found that the Big Five personality traits may also influence the quality of life experienced by people with Alzheimer's disease and other dementias, post diagnosis. In this study people with dementia with lower levels of Neuroticism self-reported higher quality of life than those with higher levels of Neuroticism while those with higher levels of the other four traits self-reported higher quality of life than those with lower levels of these traits. This suggests that as well as assisting with early diagnosis, the Big Five personality traits could help identify people with dementia potentially more vulnerable to adverse outcomes and inform personalized care planning and interventions.

Personality disorders

As of 2002, there were over fifty published studies relating the FFM to personality disorders. Since that time, quite a number of additional studies have expanded on this research base and provided further empirical support for understanding the DSM personality disorders in terms of the FFM domains.

In her review of the personality disorder literature published in 2007, Lee Anna Clark asserted that "the five-factor model of personality is widely accepted as representing the higher-order structure of both normal and abnormal personality traits". However, other researchers disagree that this model is widely accepted (see the section Critique below) and suggest that it simply replicates early temperament research. Noticeably, FFM publications never compare their findings to temperament models even though temperament and mental disorders (especially personality disorders) are thought to be based on the same neurotransmitter imbalances, just to varying degrees.

The five-factor model was claimed to significantly predict all ten personality disorder symptoms and outperform the Minnesota Multiphasic Personality Inventory (MMPI) in the prediction of borderline, avoidant, and dependent personality disorder symptoms. However, most predictions related to an increase in Neuroticism and a decrease in Agreeableness, and therefore did not differentiate between the disorders very well.

Common mental disorders

Average deviation of five factor personality profile of heroin users from the population mean. N stands for Neuroticism, E for Extraversion, O for Openness to experience, A for Agreeableness and C for Conscientiousness.

Converging evidence from several nationally representative studies has established three classes of mental disorders which are especially common in the general population: Depressive disorders (e.g., major depressive disorder (MDD), dysthymic disorder), anxiety disorders (e.g., generalized anxiety disorder (GAD), post-traumatic stress disorder (PTSD), panic disorder, agoraphobia, specific phobia, and social phobia), and substance use disorders (SUDs). The Five Factor personality profiles of users of different drugs may be different. For example, the typical profile for heroin users is , whereas for ecstasy users the high level of N is not expected but E is higher: .

These common mental disorders (CMDs) have been empirically linked to the Big Five personality traits, neuroticism in particular. Numerous studies have found that having high scores of neuroticism significantly increases one's risk for developing a common mental disorder. A large-scale meta-analysis (n > 75,000) examining the relationship between all of the Big Five personality traits and common mental disorders found that low conscientiousness yielded consistently strong effects for each common mental disorder examined (i.e., MDD, dysthymic disorder, GAD, PTSD, panic disorder, agoraphobia, social phobia, specific phobia, and SUD). This finding parallels research on physical health, which has established that conscientiousness is the strongest personality predictor of reduced mortality, and is highly negatively correlated with making poor health choices. In regards to the other personality domains, the meta-analysis found that all common mental disorders examined were defined by high neuroticism, most exhibited low extraversion, only SUD was linked to agreeableness (negatively), and no disorders were associated with Openness. A meta-analysis of 59 longitudinal studies showed that high neuroticism predicted the development of anxiety, depression, substance abuse, psychosis, schizophrenia, and non-specific mental distress, also after adjustment for baseline symptoms and psychiatric history.

The personality-psychopathology models

Five major models have been posed to explain the nature of the relationship between personality and mental illness. There is currently no single "best model", as each of them has received at least some empirical support. These models are not mutually exclusive – more than one may be operating for a particular individual and various mental disorders may be explained by different models.

  • The Vulnerability/Risk Model: According to this model, personality contributes to the onset or etiology of various common mental disorders. In other words, pre-existing personality traits either cause the development of CMDs directly or enhance the impact of causal risk factors. There is strong support for neuroticism being a robust vulnerability factor.
  • The Pathoplasty Model: This model proposes that premorbid personality traits impact the expression, course, severity, and/or treatment response of a mental disorder. An example of this relationship would be a heightened likelihood of committing suicide in a depressed individual who also has low levels of constraint.
  • The Common Cause Model: According to the common cause model, personality traits are predictive of CMDs because personality and psychopathology have shared genetic and environmental determinants which result in non-causal associations between the two constructs.
  • The Spectrum Model: This model proposes that associations between personality and psychopathology are found because these two constructs both occupy a single domain or spectrum and psychopathology is simply a display of the extremes of normal personality function. Support for this model is provided by an issue of criterion overlap. For instance, two of the primary facet scales of neuroticism in the NEO-PI-R are "depression" and "anxiety". Thus the fact that diagnostic criteria for depression, anxiety, and neuroticism assess the same content increases the correlations between these domains.
  • The Scar Model: According to the scar model, episodes of a mental disorder 'scar' an individual's personality, changing it in significant ways from premorbid functioning. An example of a scar effect would be a decrease in openness to experience following an episode of PTSD.

Physical health

To examine how the Big Five personality traits are related to subjective health outcomes (positive and negative mood, physical symptoms, and general health concern) and objective health conditions (chronic illness, serious illness, and physical injuries), Jasna Hudek-Knezevic and Igor Kardum conducted a study from a sample of 822 healthy volunteers (438 women and 384 men). Out of the Big Five personality traits, they found neuroticism most related to worse subjective health outcomes and optimistic control to better subjective health outcomes. When relating to objective health conditions, connections drawn were presented weak, except that neuroticism significantly predicted chronic illness, whereas optimistic control was more closely related to physical injuries caused by accident.

Being highly conscientious may add as much as five years to one's life. The Big Five personality traits also predict positive health outcomes. In an elderly Japanese sample, conscientiousness, extraversion, and openness were related to lower risk of mortality.

Higher conscientiousness is associated with lower obesity risk. In already obese individuals, higher conscientiousness is associated with a higher likelihood of becoming non-obese over a five-year period.

Effect of personality traits through life

Education

Academic achievement

Personality plays an important role in academic achievement. A study of 308 undergraduates who completed the Five Factor Inventory Processes and reported their GPA suggested that conscientiousness and agreeableness have a positive relationship with all types of learning styles (synthesis-analysis, methodical study, fact retention, and elaborative processing), whereas neuroticism shows an inverse relationship. Moreover, extraversion and openness were proportional to elaborative processing. The Big Five personality traits accounted for 14% of the variance in GPA, suggesting that personality traits make some contributions to academic performance. Furthermore, reflective learning styles (synthesis-analysis and elaborative processing) were able to mediate the relationship between openness and GPA. These results indicate that intellectual curiosity significantly enhances academic performance if students combine their scholarly interest with thoughtful information processing.

A recent study of Israeli high-school students found that those in the gifted program systematically scored higher on openness and lower on neuroticism than those not in the gifted program. While not a measure of the Big Five, gifted students also reported less state anxiety than students not in the gifted program. Specific Big Five personality traits predict learning styles in addition to academic success.

Studies conducted on college students have concluded that hope, which is linked to agreeableness, conscientiousness, neuroticism, and openness, has a positive effect on psychological well-being. Individuals high in neurotic tendencies are less likely to display hopeful tendencies and are negatively associated with well-being. Personality can sometimes be flexible and measuring the big five personality for individuals as they enter certain stages of life may predict their educational identity. Recent studies have suggested the likelihood of an individual's personality affecting their educational identity.

Learning styles

Learning styles have been described as "enduring ways of thinking and processing information".

In 2008, the Association for Psychological Science (APS) commissioned a report that concludes that no significant evidence exists that learning-style assessments should be included in the education system. Thus it is premature, at best, to conclude that the evidence links the Big Five to "learning styles", or "learning styles" to learning itself.

However, the APS report also suggested that all existing learning styles have not been exhausted and that there could exist learning styles worthy of being included in educational practices. There are studies that conclude that personality and thinking styles may be intertwined in ways that link thinking styles to the Big Five personality traits. There is no general consensus on the number or specifications of particular learning styles, but there have been many different proposals.

As one example, Schmeck, Ribich, and Ramanaiah (1997) defined four types of learning styles:

  • synthesis analysis
  • methodical study
  • fact retention
  • elaborative processing

When all four facets are implicated within the classroom, they will each likely improve academic achievement. This model asserts that students develop either agentic/shallow processing or reflective/deep processing. Deep processors are more often found to be more conscientious, intellectually open, and extraverted than shallow processors. Deep processing is associated with appropriate study methods (methodical study) and a stronger ability to analyze information (synthesis analysis), whereas shallow processors prefer structured fact retention learning styles and are better suited for elaborative processing. The main functions of these four specific learning styles are as follows:

Name Function
Synthesis analysis: processing information, forming categories, and organizing them into hierarchies. This is the only one of the learning styles that has explained a significant impact on academic performance.
Methodical study: methodical behavior while completing academic assignments
Fact retention: focusing on the actual result instead of understanding the logic behind something
Elaborative processing: connecting and applying new ideas to existing knowledge

Openness has been linked to learning styles that often lead to academic success and higher grades like synthesis analysis and methodical study. Because conscientiousness and openness have been shown to predict all four learning styles, it suggests that individuals who possess characteristics like discipline, determination, and curiosity are more likely to engage in all of the above learning styles.

According to the research carried out by Komarraju, Karau, Schmeck & Avdic (2011), conscientiousness and agreeableness are positively related with all four learning styles, whereas neuroticism was negatively related with those four. Furthermore, extraversion and openness were only positively related to elaborative processing, and openness itself correlated with higher academic achievement.

In addition, a previous study by psychologist Mikael Jensen has shown relationships between the Big Five personality traits, learning, and academic achievement. According to Jensen, all personality traits, except neuroticism, are associated with learning goals and motivation. Openness and conscientiousness influence individuals to learn to a high degree unrecognized, while extraversion and agreeableness have similar effects. Conscientiousness and neuroticism also influence individuals to perform well in front of others for a sense of credit and reward, while agreeableness forces individuals to avoid this strategy of learning. Jensen's study concludes that individuals who score high on the agreeableness trait will likely learn just to perform well in front of others.

Besides openness, all Big Five personality traits helped predict the educational identity of students. Based on these findings, scientists are beginning to see that the Big Five traits might have a large influence of on academic motivation that leads to predicting a student's academic performance.

Some authors suggested that Big Five personality traits combined with learning styles can help predict some variations in the academic performance and the academic motivation of an individual which can then influence their academic achievements. This may be seen because individual differences in personality represent stable approaches to information processing. For instance, conscientiousness has consistently emerged as a stable predictor of success in exam performance, largely because conscientious students experience fewer study delays. Conscientiousness shows a positive association with the four learning styles because students with high levels of conscientiousness develop focused learning strategies and appear to be more disciplined and achievement-oriented.

Personality and learning styles are both likely to play significant roles in influencing academic achievement. College students (308 undergraduates) completed the Five Factor Inventory and the Inventory of Learning Processes and reported their grade point average. Two of the Big Five traits, conscientiousness and agreeableness, were positively related with all four learning styles (synthesis analysis, methodical study, fact retention, and elaborative processing), whereas neuroticism was negatively related with all four learning styles. In addition, extraversion and openness were positively related with elaborative processing. The Big Five together explained 14% of the variance in grade point average (GPA), and learning styles explained an additional 3%, suggesting that both personality traits and learning styles contribute to academic performance. Further, the relationship between openness and GPA was mediated by reflective learning styles (synthesis-analysis and elaborative processing). These latter results suggest that being intellectually curious fully enhances academic performance when students combine this scholarly interest with thoughtful information processing. Implications of these results are discussed in the context of teaching techniques and curriculum design.

— M Komarraju

Distance Learning

When the relationship between the five-factor personality traits and academic achievement in distance education settings was examined in brief, the openness personality trait was found to be the most important variable that has a positive relationship with academic achievement in distance education environments. In addition, it was found that self-discipline, extraversion, and adaptability personality traits are generally in a positive relationship with academic achievement. The most important personality trait that has a negative relationship with academic achievement has emerged as neuroticism. The results generally show that individuals who are organized, planned, determined, who are oriented to new ideas and independent thinking have increased success in distance education environments. On the other hand, it can be said that individuals with anxiety and stress tendencies generally have lower academic success.

Employment

Occupation and personality fit

The Vocations Map - many people in the same role share similar personality traits
The Vocations Map - many people in the same role share similar personality traits.

Researchers have long suggested that work is more likely to be fulfilling to the individual and beneficial to society when there is alignment between the person and their occupation. For instance, software programmers and scientists often rank high on Openness to experience and tend to be intellectually curious, think in symbols and abstractions, and find repetition boring. Psychologists and sociologists rank higher on Agreeableness and Openness than economists and jurists.

Work success

Controversy exists as to whether or not the Big 5 personality traits are correlated with success in the workplace.

It is believed that the Big Five traits are predictors of future performance outcomes to varying degrees. Specific facets of the Big Five traits are also thought to be indicators of success in the workplace, and each individual facet can give a more precise indication as to the nature of a person. Different traits' facets are needed for different occupations. Various facets of the Big Five traits can predict the success of people in different environments. The estimated levels of an individual's success in jobs that require public speaking versus one-on-one interactions will differ according to whether that person has particular traits' facets.

Job outcome measures include job and training proficiency and personnel data. However, research demonstrating such prediction has been criticized, in part because of the apparently low correlation coefficients characterizing the relationship between personality and job performance. In a 2007 article states: "The problem with personality tests is ... that the validity of personality measures as predictors of job performance is often disappointingly low. The argument for using personality tests to predict performance does not strike me as convincing in the first place."

Such criticisms were put forward by Walter Mischel, whose publication caused a two-decades' long crisis in personality psychometrics. However, later work demonstrated that the correlations obtained by psychometric personality researchers were actually very respectable by comparative standards, and that the economic value of even incremental increases in prediction accuracy was exceptionally large, given the vast difference in performance by those who occupy complex job positions.

Research has suggested that individuals who are considered leaders typically exhibit lower amounts of neurotic traits, maintain higher levels of openness, balanced levels of conscientiousness, and balanced levels of extraversion. Further studies have linked professional burnout to neuroticism, and extraversion to enduring positive work experience. Studies have linked national innovation, leadership, and ideation to openness to experience and conscientiousness. Occupational self-efficacy has also been shown to be positively correlated with conscientiousness and negatively correlated with neuroticism. Some research has also suggested that the conscientiousness of a supervisor is positively associated with an employee's perception of abusive supervision. Others have suggested that low agreeableness and high neuroticism are traits more related to abusive supervision.

Openness is positively related to proactivity at the individual and the organizational levels and is negatively related to team and organizational proficiency. These effects were found to be completely independent of one another. This is also counter-conscientious and has a negative correlation to Conscientiousness.

Agreeableness is negatively related to individual task proactivity. Typically this is associated with lower career success and being less able to cope with conflict. However there are benefits to the Agreeableness personality trait including higher subjective well-being; more positive interpersonal interactions and helping behavior; lower conflict; lower deviance and turnover. Furthermore, attributes related to Agreeableness are important for workforce readiness for a variety of occupations and performance criteria. Research has suggested that those who are high in agreeableness are not as successful in accumulating income.

Extraversion results in greater leadership emergence and effectiveness; as well as higher job and life satisfaction. However extraversion can lead to more impulsive behaviors, more accidents and lower performance in certain jobs.

Conscientiousness is highly predictive of job performance in general, and is positively related to all forms of work role performance, including job performance and job satisfaction, greater leadership effectiveness, lower turnover and deviant behaviors. However this personality trait is associated with reduced adaptability, lower learning in initial stages of skill acquisition and more interpersonally abrasiveness, when also low in agreeableness.

Neuroticism is negatively related to all forms of work role performance. This increases the chance of engaging in risky behaviors.

Two theories have been integrated in an attempt to account for these differences in work role performance. Trait activation theory posits that within a person trait levels predict future behavior, that trait levels differ between people, and that work-related cues activate traits which leads to work relevant behaviors. Role theory suggests that role senders provide cues to elicit desired behaviors. In this context, role senders provide workers with cues for expected behaviors, which in turn activates personality traits and work relevant behaviors. In essence, expectations of the role sender lead to different behavioral outcomes depending on the trait levels of individual workers, and because people differ in trait levels, responses to these cues will not be universal.

Romantic relationships

The Big Five model of personality was used for attempts to predict satisfaction in romantic relationships, relationship quality in dating, engaged, and married couples.

Political identification

The Big Five Personality Model also has applications in the study of political psychology. Studies have been finding links between the big five personality traits and political identification. It has been found by several studies that individuals who score high in Conscientiousness are more likely to possess a right-wing political identification. On the opposite end of the spectrum, a strong correlation was identified between high scores in Openness to Experience and a left-leaning ideology. While the traits of agreeableness, extraversion, and neuroticism have not been consistently linked to either conservative or liberal ideology, with studies producing mixed results, such traits are promising when analyzing the strength of an individual's party identification. However, correlations between the Big Five and political beliefs, while present, tend to be small, with one study finding correlations ranged from 0.14 to 0.24.

Scope of predictive power

The predictive effects of the Big Five personality traits relate mostly to social functioning and rules-driven behavior and are not very specific for prediction of particular aspects of behavior. For example, it was noted by all temperament researchers that high neuroticism precedes the development of all common mental disorders and is not associated with personality. Further evidence is required to fully uncover the nature and differences between personality traits, temperament and life outcomes. Social and contextual parameters also play a role in outcomes and the interaction between the two is not yet fully understood.

Religiosity

Though the effect sizes are small: Of the Big Five personality traits high Agreeableness, Conscientiousness and Extraversion relate to general religiosity, while Openness relate negatively to religious fundamentalism and positively to spirituality. High Neuroticism may be related to extrinsic religiosity, whereas intrinsic religiosity and spirituality reflect Emotional Stability.

Measurements

Several measures of the Big Five exist:

  • International Personality Item Pool (IPIP)
  • NEO-PI-R
  • The Ten-Item Personality Inventory (TIPI) and the Five Item Personality Inventory (FIPI) are very abbreviated rating forms of the Big Five personality traits.
  • Self-descriptive sentence questionnaires
  • Lexical questionnaires
  • Self-report questionnaires
  • Relative-scored Big 5 measure

The most frequently used measures of the Big Five comprise either items that are self-descriptive sentences or, in the case of lexical measures, items that are single adjectives. Due to the length of sentence-based and some lexical measures, short forms have been developed and validated for use in applied research settings where questionnaire space and respondent time are limited, such as the 40-item balanced International English Big-Five Mini-Markers or a very brief (10 item) measure of the Big Five domains. Research has suggested that some methodologies in administering personality tests are inadequate in length and provide insufficient detail to truly evaluate personality. Usually, longer, more detailed questions will give a more accurate portrayal of personality. The five factor structure has been replicated in peer reports. However, many of the substantive findings rely on self-reports.

Much of the evidence on the measures of the Big 5 relies on self-report questionnaires, which makes self-report bias and falsification of responses difficult to deal with and account for. It has been argued that the Big Five tests do not create an accurate personality profile because the responses given on these tests are not true in all cases and can be falsified. For example, questionnaires are answered by potential employees who might choose answers that paint them in the best light.

Research suggests that a relative-scored Big Five measure in which respondents had to make repeated choices between equally desirable personality descriptors may be a potential alternative to traditional Big Five measures in accurately assessing personality traits, especially when lying or biased responding is present. When compared with a traditional Big Five measure for its ability to predict GPA and creative achievement under both normal and "fake good"-bias response conditions, the relative-scored measure significantly and consistently predicted these outcomes under both conditions; however, the Likert questionnaire lost its predictive ability in the faking condition. Thus, the relative-scored measure proved to be less affected by biased responding than the Likert measure of the Big Five.

Andrew H. Schwartz analyzed 700 million words, phrases, and topic instances collected from the Facebook messages of 75,000 volunteers, who also took standard personality tests, and found striking variations in language with personality, gender, and age.

Critique

The proposed Big Five model has been subjected to considerable critical scrutiny in a number of published studies. One prominent critic of the model has been Jack Block at the University of California, Berkeley. In response to Block, the model was defended in a paper published by Costa and McCrae. This was followed by a number of published critical replies from Block.

It has been argued that there are limitations to the scope of the Big Five model as an explanatory or predictive theory. It has also been argued that measures of the Big Five account for only 56% of the normal personality trait sphere alone (not even considering the abnormal personality trait sphere). Also, the static Big Five is not theory driven, it is merely a statistically driven investigation of certain descriptors that tend to cluster together often based on less-than-optimal factor analytic procedures. Measures of the Big Five constructs appear to show some consistency in interviews, self-descriptions and observations, and this static five-factor structure seems to be found across a wide range of participants of different ages and cultures. However, while genotypic temperament trait dimensions might appear across different cultures, the phenotypic expression of personality traits differs profoundly across different cultures as a function of the different socio-cultural conditioning and experiential learning that takes place within different cultural settings.

Moreover, the fact that the Big Five model was based on lexical hypothesis (i.e. on the verbal descriptors of individual differences) indicated strong methodological flaws in this model, especially related to its main factors, Extraversion and Neuroticism. First, there is a natural pro-social bias of language in people's verbal evaluations. After all, language is an invention of group dynamics that was developed to facilitate socialization and the exchange of information and to synchronize group activity. This social function of language therefore creates a sociability bias in verbal descriptors of human behavior: there are more words related to social than physical or even mental aspects of behavior. The sheer number of such descriptors will cause them to group into the largest factor in any language, and such grouping has nothing to do with the way that core systems of individual differences are set up. Second, there is also a negativity bias in emotionality (i.e. most emotions have negative affectivity), and there are more words in language to describe negative rather than positive emotions. Such asymmetry in emotional valence creates another bias in language. Experiments using the lexical hypothesis approach indeed demonstrated that the use of lexical material skews the resulting dimensionality according to a sociability bias of language and a negativity bias of emotionality, grouping all evaluations around these two dimensions. This means that the two largest dimensions in the Big Five model might be just an artifact of the lexical approach that this model employed.

Limited scope

One common criticism is that the Big Five does not explain all of human personality. Some psychologists have dissented from the model precisely because they feel it neglects other domains of personality, such as religiosity, manipulativeness/machiavellianism, honesty, sexiness/seductiveness, thriftiness, conservativeness, masculinity/femininity, snobbishness/egotism, sense of humour, and risk-taking/thrill-seeking. Dan P. McAdams has called the Big Five a "psychology of the stranger", because they refer to traits that are relatively easy to observe in a stranger; other aspects of personality that are more privately held or more context-dependent are excluded from the Big Five.

There may be debate as to what counts as personality and what does not and the nature of the questions in the survey greatly influence outcome. Multiple particularly broad question databases have failed to produce the Big Five as the top five traits.

In many studies, the five factors are not fully orthogonal to one another; that is, the five factors are not independent. Orthogonality is viewed as desirable by some researchers because it minimizes redundancy between the dimensions. This is particularly important when the goal of a study is to provide a comprehensive description of personality with as few variables as possible.

Methodological issues

Factor analysis, the statistical method used to identify the dimensional structure of observed variables, lacks a universally recognized basis for choosing among solutions with different numbers of factors. A five factor solution depends on some degree of interpretation by the analyst. A larger number of factors may underlie these five factors. This has led to disputes about the "true" number of factors. Big Five proponents have responded that although other solutions may be viable in a single data set, only the five-factor structure consistently replicates across different studies.

Surveys in studies are often online surveys of college students. Results do not always replicate when run on other populations or in other languages.

Moreover, the factor analysis that this model is based on is a linear method incapable of capturing nonlinear, feedback and contingent relationships between core systems of individual differences.

Theoretical status

A frequent criticism is that the Big Five is not based on any underlying theory; it is merely an empirical finding that certain descriptors cluster together under factor analysis. Although this does not mean that these five factors do not exist, the underlying causes behind them are unknown.

Jack Block's final published work before his death in January 2010 drew together his lifetime perspective on the five-factor model.

He summarized his critique of the model in terms of:

  • the atheoretical nature of the five-factors.
  • their "cloudy" measurement.
  • the model's inappropriateness for studying early childhood.
  • the use of factor analysis as the exclusive paradigm for conceptualizing personality.
  • the continuing non-consensual understandings of the five-factors.
  • the existence of unrecognized but successful efforts to specify aspects of character not subsumed by the five-factors.

He went on to suggest that repeatedly observed higher order factors hierarchically above the proclaimed Big Five personality traits may promise deeper biological understanding of the origins and implications of these superfactors.

Evidence for six factors rather than five

It has been noted that even though early lexical studies in the English language indicated five large groups of personality traits, more recent, and more comprehensive, cross-language studies have provided evidence for six large groups rather than five, with the sixth factor being Honesty-Humility. These six groups form the basis of the HEXACO model of personality structure. Based on these findings it has been suggested that the Big Five system should be replaced by HEXACO, or revised to better align with lexical evidence.

Pleiotropy

From Wikipedia, the free encyclopedia
Simple genotype–phenotype map that only shows additive pleiotropy effects. G1, G2, and G3 are different genes that contribute to phenotypic traits P1, P2, and P3.

Pleiotropy (from Greek πλείων pleion, 'more', and τρόπος tropos, 'way') occurs when one gene influences two or more seemingly unrelated phenotypic traits. Such a gene that exhibits multiple phenotypic expression is called a pleiotropic gene. Mutation in a pleiotropic gene may have an effect on several traits simultaneously, due to the gene coding for a product used by a myriad of cells or different targets that have the same signaling function.

Pleiotropy can arise from several distinct but potentially overlapping mechanisms, such as gene pleiotropy, developmental pleiotropy, and selectional pleiotropy. Gene pleiotropy occurs when a gene product interacts with multiple other proteins or catalyzes multiple reactions. Developmental pleiotropy occurs when mutations have multiple effects on the resulting phenotype. Selectional pleiotropy occurs when the resulting phenotype has many effects on fitness (depending on factors such as age and gender).

An example of pleiotropy is phenylketonuria, an inherited disorder that affects the level of phenylalanine, an amino acid that can be obtained from food, in the human body. Phenylketonuria causes this amino acid to increase in amount in the body, which can be very dangerous. The disease is caused by a defect in a single gene on chromosome 12 that codes for enzyme phenylalanine hydroxylase, that affects multiple systems, such as the nervous and integumentary system.

Pleiotropic gene action can limit the rate of multivariate evolution when natural selection, sexual selection or artificial selection on one trait favors one allele, while selection on other traits favors a different allele. Some gene evolution is harmful to an organism. Genetic correlations and responses to selection most often exemplify pleiotropy.

History

Pleiotropic traits had been previously recognized in the scientific community but had not been experimented on until Gregor Mendel's 1866 pea plant experiment. Mendel recognized that certain pea plant traits (seed coat color, flower color, and axial spots) seemed to be inherited together; however, their correlation to a single gene has never been proven. The term "pleiotropie" was first coined by Ludwig Plate in his Festschrift, which was published in 1910. He originally defined pleiotropy as occurring when "several characteristics are dependent upon ... [inheritance]; these characteristics will then always appear together and may thus appear correlated". This definition is still used today.

After Plate's definition, Hans Gruneberg was the first to study the mechanisms of pleiotropy. In 1938 Gruneberg published an article dividing pleiotropy into two distinct types: "genuine" and "spurious" pleiotropy. "Genuine" pleiotropy is when two distinct primary products arise from one locus. "Spurious" pleiotropy, on the other hand, is either when one primary product is utilized in different ways or when one primary product initiates a cascade of events with different phenotypic consequences. Gruneberg came to these distinctions after experimenting on rats with skeletal mutations. He recognized that "spurious" pleiotropy was present in the mutation, while "genuine" pleiotropy was not, thus partially invalidating his own original theory. Through subsequent research, it has been established that Gruneberg's definition of "spurious" pleiotropy is what we now identify simply as "pleiotropy".

In 1941 American geneticists George Beadle and Edward Tatum further invalidated Gruneberg's definition of "genuine" pleiotropy, advocating instead for the "one gene-one enzyme" hypothesis that was originally introduced by French biologist Lucien Cuénot in 1903. This hypothesis shifted future research regarding pleiotropy towards how a single gene can produce various phenotypes.

In the mid-1950s Richard Goldschmidt and Ernst Hadorn, through separate individual research, reinforced the faultiness of "genuine" pleiotropy. A few years later, Hadorn partitioned pleiotropy into a "mosaic" model (which states that one locus directly affects two phenotypic traits) and a "relational" model (which is analogous to "spurious" pleiotropy). These terms are no longer in use but have contributed to the current understanding of pleiotropy.

By accepting the one gene-one enzyme hypothesis, scientists instead focused on how uncoupled phenotypic traits can be affected by genetic recombination and mutations, applying it to populations and evolution. This view of pleiotropy, "universal pleiotropy", defined as locus mutations being capable of affecting essentially all traits, was first implied by Ronald Fisher's Geometric Model in 1930. This mathematical model illustrates how evolutionary fitness depends on the independence of phenotypic variation from random changes (that is, mutations). It theorizes that an increasing phenotypic independence corresponds to a decrease in the likelihood that a given mutation will result in an increase in fitness. Expanding on Fisher's work, Sewall Wright provided more evidence in his 1968 book Evolution and the Genetics of Populations: Genetic and Biometric Foundations by using molecular genetics to support the idea of "universal pleiotropy". The concepts of these various studies on evolution have seeded numerous other research projects relating to individual fitness.

In 1957 evolutionary biologist George C. Williams theorized that antagonistic effects will be exhibited during an organism's life cycle if it is closely linked and pleiotropic. Natural selection favors genes that are more beneficial prior to reproduction than after (leading to an increase in reproductive success). Knowing this, Williams argued that if only close linkage was present, then beneficial traits will occur both before and after reproduction due to natural selection. This, however, is not observed in nature, and thus antagonistic pleiotropy contributes to the slow deterioration with age (senescence).

Mechanism

Pleiotropy describes the genetic effect of a single gene on multiple phenotypic traits. The underlying mechanism is genes that code for a product that is either used by various cells or has a cascade-like signaling function that affects various targets.

Polygenic traits

Pleiotropy seems limited for many traits in humans since the SNP overlap, as measured by variance accounted for, between many polygenic predictors is small.

Most genetic traits are polygenic in nature: controlled by many genetic variants, each of small effect. These genetic variants can reside in protein coding or non-coding regions of the genome. In this context pleiotropy refers to the influence that a specific genetic variant, e.g., a single nucleotide polymorphism or SNP, has on two or more distinct traits.

Genome-wide association studies (GWAS) and machine learning analysis of large genomic datasets have led to the construction of SNP based polygenic predictors for human traits such as height, bone density, and many disease risks. Similar predictors exist for plant and animal species and are used in agricultural breeding.

One measure of pleiotropy is the fraction of genetic variance that is common between two distinct complex human traits: e.g., height vs bone density, breast cancer vs heart attack risk, or diabetes vs hypothyroidism risk. This has been calculated for hundreds of pairs of traits, with results shown in the Table. In most cases examined the genomic regions controlling each trait are largely disjoint, with only modest overlap.

Thus, at least for complex human traits so far examined, pleiotropy is limited in extent.

Models for the origin

One basic model of pleiotropy's origin describes a single gene locus to the expression of a certain trait. The locus affects the expressed trait only through changing the expression of other loci. Over time, that locus would affect two traits by interacting with a second locus. Directional selection for both traits during the same time period would increase the positive correlation between the traits, while selection on only one trait would decrease the positive correlation between the two traits. Eventually, traits that underwent directional selection simultaneously were linked by a single gene, resulting in pleiotropy.

The "pleiotropy-barrier" model proposes a logistic growth pattern for the increase of pleiotropy over time. This model differentiates between the levels of pleiotropy in evolutionarily younger and older genes subjected to natural selection. It suggests a higher potential for phenotypic innovation in evolutionarily newer genes due to their lower levels of pleiotropy.

Other more complex models compensate for some of the basic model's oversights, such as multiple traits or assumptions about how the loci affect the traits. They also propose the idea that pleiotropy increases the phenotypic variation of both traits since a single mutation on a gene would have twice the effect.

Evolution

Pleiotropy can have an effect on the evolutionary rate of genes and allele frequencies. Traditionally, models of pleiotropy have predicted that evolutionary rate of genes is related negatively with pleiotropy – as the number of traits of an organism increases, the evolutionary rates of genes in the organism's population decrease. This relationship has not been clearly found in empirical studies for a long time. However, a study based on human disease genes revealed the evidence of lower evolutionary rate in genes with higher pleiotropy.

In mating, for many animals the signals and receptors of sexual communication may have evolved simultaneously as the expression of a single gene, instead of the result of selection on two independent genes, one that affects the signaling trait and one that affects the receptor trait. In such a case, pleiotropy would facilitate mating and survival. However, pleiotropy can act negatively as well. A study on seed beetles found that intralocus sexual conflict arises when selection for certain alleles of a gene that are beneficial for one sex causes expression of potentially harmful traits by the same gene in the other sex, especially if the gene is located on an autosomal chromosome.

Pleiotropic genes act as an arbitrating force in speciation. William R. Rice and Ellen E. Hostert (1993) conclude that the observed prezygotic isolation in their studies is a product of pleiotropy's balancing role in indirect selection. By imitating the traits of all-infertile hybridized species, they noticed that the fertilization of eggs was prevented in all eight of their separate studies, a likely effect of pleiotropic genes on speciation. Likewise, pleiotropic gene's stabilizing selection allows for the allele frequency to be altered.

Studies on fungal evolutionary genomics have shown pleiotropic traits that simultaneously affect adaptation and reproductive isolation, converting adaptations directly to speciation. A particularly telling case of this effect is host specificity in pathogenic ascomycetes and specifically, in venturia, the fungus responsible for apple scab. These parasitic fungi each adapts to a host, and are only able to mate within a shared host after obtaining resources. Since a single toxin gene or virulence allele can grant the ability to colonize the host, adaptation and reproductive isolation are instantly facilitated, and in turn, pleiotropically causes adaptive speciation. The studies on fungal evolutionary genomics will further elucidate the earliest stages of divergence as a result of gene flow, and provide insight into pleiotropically induced adaptive divergence in other eukaryotes.

Antagonistic pleiotropy

Sometimes, a pleiotropic gene may be both harmful and beneficial to an organism, which is referred to as antagonistic pleiotropy. This may occur when the trait is beneficial for the organism's early life, but not its late life. Such "trade-offs" are possible since natural selection affects traits expressed earlier in life, when most organisms are most fertile, more than traits expressed later in life.

This idea is central to the antagonistic pleiotropy hypothesis, which was first developed by G. C. Williams in 1957. Williams suggested that some genes responsible for increased fitness in the younger, fertile organism contribute to decreased fitness later in life, which may give an evolutionary explanation for senescence. An example is the p53 gene, which suppresses cancer but also suppresses stem cells, which replenish worn-out tissue.

Unfortunately, the process of antagonistic pleiotropy may result in an altered evolutionary path with delayed adaptation, in addition to effectively cutting the overall benefit of any alleles by roughly half. However, antagonistic pleiotropy also lends greater evolutionary "staying power" to genes controlling beneficial traits, since an organism with a mutation to those genes would have a decreased chance of successfully reproducing, as multiple traits would be affected, potentially for the worse.

Sickle cell anemia is a classic example of the mixed benefit given by the staying power of pleiotropic genes, as the mutation to Hb-S provides the fitness benefit of malaria resistance to heterozygotes as sickle cell trait, while homozygotes have significantly lowered life expectancy—what is known as "heterozygote advantage". Since both of these states are linked to the same mutated gene, large populations today are susceptible to sickle cell despite it being a fitness-impairing genetic disorder.

Examples

Peacock with albinism

Albinism

Albinism is the mutation of the TYR gene, also termed tyrosinase. This mutation causes the most common form of albinism. The mutation alters the production of melanin, thereby affecting melanin-related and other dependent traits throughout the organism. Melanin is a substance made by the body that is used to absorb light and provides coloration to the skin. Indications of albinism are the absence of color in an organism's eyes, hair, and skin, due to the lack of melanin. Some forms of albinism are also known to have symptoms that manifest themselves through rapid-eye movement, light sensitivity, and strabismus.

Autism and schizophrenia

Pleiotropy in genes has been linked between certain psychiatric disorders as well. Deletion in the 22q11.2 region of chromosome 22 has been associated with schizophrenia and autism. Schizophrenia and autism are linked to the same gene deletion but manifest very differently from each other. The resulting phenotype depends on the stage of life at which the individual develops the disorder. Childhood manifestation of the gene deletion is typically associated with autism, while adolescent and later expression of the gene deletion often manifests in schizophrenia or other psychotic disorders. Though the disorders are linked by genetics, there is no increased risk found for adult schizophrenia in patients who experienced autism in childhood.

A 2013 study also genetically linked five psychiatric disorders, including schizophrenia and autism. The link was a single nucleotide polymorphism of two genes involved in calcium channel signaling with neurons. One of these genes, CACNA1C, has been found to influence cognition. It has been associated with autism, as well as linked in studies to schizophrenia and bipolar disorder. These particular studies show clustering of these diseases within patients themselves or families. The estimated heritability of schizophrenia is 70% to 90%, therefore the pleiotropy of genes is crucial since it causes an increased risk for certain psychotic disorders and can aid psychiatric diagnosis.

Phenylketonuria (PKU)

The blood of a two-week-old infant is collected for a PKU screening.

A common example of pleiotropy is the human disease phenylketonuria (PKU). This disease causes mental retardation and reduced hair and skin pigmentation, and can be caused by any of a large number of mutations in the single gene on chromosome 12 that codes for the enzyme phenylalanine hydroxylase, which converts the amino acid phenylalanine to tyrosine. Depending on the mutation involved, this conversion is reduced or ceases entirely. Unconverted phenylalanine builds up in the bloodstream and can lead to levels that are toxic to the developing nervous system of newborn and infant children. The most dangerous form of this is called classic PKU, which is common in infants. The baby seems normal at first but actually incurs permanent intellectual disability. This can cause symptoms such as mental retardation, abnormal gait and posture, and delayed growth. Because tyrosine is used by the body to make melanin (a component of the pigment found in the hair and skin), failure to convert normal levels of phenylalanine to tyrosine can lead to fair hair and skin. The frequency of this disease varies greatly. Specifically, in the United States, PKU is found at a rate of nearly 1 in 10,000 births. Due to newborn screening, doctors are able to detect PKU in a baby sooner. This allows them to start treatment early, preventing the baby from suffering from the severe effects of PKU. PKU is caused by a mutation in the PAH gene, whose role is to instruct the body on how to make phenylalanine hydroxylase. Phenylalanine hydroxylase is what converts the phenylalanine, taken in through diet, into other things that the body can use. The mutation often decreases the effectiveness or rate at which the hydroxylase breaks down the phenylalanine. This is what causes the phenylalanine to build up in the body.

Sickle cell anemia

Photomicrograph of normal-shaped and sickle-shape red blood cells from a patient with sickle cell disease

Sickle cell anemia is a genetic disease that causes deformed red blood cells with a rigid, crescent shape instead of the normal flexible, round shape. It is caused by a change in one nucleotide, a point mutation in the HBB gene. The HBB gene encodes information to make the beta-globin subunit of hemoglobin, which is the protein red blood cells use to carry oxygen throughout the body. Sickle cell anemia occurs when the HBB gene mutation causes both beta-globin subunits of hemoglobin to change into hemoglobin S (HbS).

Sickle cell anemia is a pleiotropic disease because the expression of a single mutated HBB gene produces numerous consequences throughout the body. The mutated hemoglobin forms polymers and clumps together causing the deoxygenated sickle red blood cells to assume the disfigured sickle shape. As a result, the cells are inflexible and cannot easily flow through blood vessels, increasing the risk of blood clots and possibly depriving vital organs of oxygen. Some complications associated with sickle cell anemia include pain, damaged organs, strokes, high blood pressure, and loss of vision. Sickle red blood cells also have a shortened lifespan and die prematurely.

Marfan syndrome

Patient with Marfan Syndrome

Marfan syndrome (MFS) is an autosomal dominant disorder which affects 1 in 5–10,000 people. MFS arises from a mutation in the FBN1 gene, which encodes for the glycoprotein fibrillin-1, a major constituent of extracellular microfibrils which form connective tissues. Over 1,000 different mutations in FBN1 have been found to result in abnormal function of fibrillin, which consequently relates to connective tissues elongating progressively and weakening. Because these fibers are found in tissues throughout the body, mutations in this gene can have a widespread effect on certain systems, including the skeletal, cardiovascular, and nervous system, as well as the eyes and lungs.

Without medical intervention, prognosis of Marfan syndrome can range from moderate to life-threatening, with 90% of known causes of death in diagnosed patients relating to cardiovascular complications and congestive cardiac failure. Other characteristics of MFS include an increased arm span and decreased upper to lower body ratio.

"Mini-muscle" allele

A gene recently discovered in laboratory house mice, termed "mini-muscle", causes, when mutated, a 50% reduction in hindlimb muscle mass as its primary effect (the phenotypic effect by which it was originally identified). In addition to smaller hindlimb muscle mass, the mutant mice exhibit lower heart rates during physical activity, and a higher endurance. Mini Muscle Mice also exhibit larger kidneys and livers. All of these morphological deviations influence the behavior and metabolism of the mouse. For example, mice with the Mini Muscle mutation were observed to have a higher per-gram aerobic capacity. The mini-muscle allele shows a mendelian recessive behavior. The mutation is a single nucleotide polymorphism (SNP) in an intron of the myosin heavy polypeptide 4 gene.

DNA repair proteins

DNA repair pathways that repair damage to cellular DNA use many different proteins. These proteins often have other functions in addition to DNA repair. In humans, defects in some of these multifunctional proteins can cause widely differing clinical phenotypes. As an example, mutations in the XPB gene that encodes the largest subunit of the basal Transcription factor II H have several pleiotropic effects. XPB mutations are known to be deficient in nucleotide excision repair of DNA and in the quite separate process of gene transcription. In humans, XPB mutations can give rise to the cancer-prone disorder xeroderma pigmentosum or the noncancer-prone multisystem disorder trichothiodystrophy. Another example in humans is the ERCC6 gene, which encodes a protein that mediates DNA repair, transcription, and other cellular processes throughout the body. Mutations in ERCC6 are associated with disorders of the eye (retinal dystrophy), heart (cardiac arrhythmias), and immune system (lymphocyte immunodeficiency).

Chickens

Chicken exhibiting the frizzle feather trait

Chickens exhibit various traits affected by pleiotropic genes. Some chickens exhibit frizzle feather trait, where their feathers all curl outward and upward rather than lying flat against the body. Frizzle feather was found to stem from a deletion in the genomic region coding for α-Keratin. This gene seems to pleiotropically lead to other abnormalities like increased metabolism, higher food consumption, accelerated heart rate, and delayed sexual maturity.

Domesticated chickens underwent a rapid selection process that led to unrelated phenotypes having high correlations, suggesting pleiotropic, or at least close linkage, effects between comb mass and physiological structures related to reproductive abilities. Both males and females with larger combs have higher bone density and strength, which allows females to deposit more calcium into eggshells. This linkage is further evidenced by the fact that two of the genes, HAO1 and BMP2, affecting medullary bone (the part of the bone that transfers calcium into developing eggshells) are located at the same locus as the gene affecting comb mass. HAO1 and BMP2 also display pleiotropic effects with commonly desired domestic chicken behavior; those chickens who express higher levels of these two genes in bone tissue produce more eggs and display less egg incubation behavior.

Novelty seeking

From Wikipedia, the free encyclopedia
https://en.wikipedia.org/wiki/Novelty_seeking

In psychology, novelty seeking (NS) is a personality trait associated with exploratory activity in response to novel stimulation, impulsive decision making, extravagance in approach to reward cues, quick loss of temper, and avoidance of frustration. That is, novelty seeking (or sensation seeking) refers to the tendency to pursue new experiences with intense emotional sensations. It is a multifaceted behavioral construct that includes thrill seeking, novelty preference, risk taking, harm avoidance, and reward dependence. The novelty-seeking trait is considered a heritable tendency of individuals to take risks for the purpose of achieving stimulation and seeking new environments and situations that make their experiences more intense. This trait has been associated with the level of motive and excitement in response to novelty. Persons with high levels of novelty seeking have been described as more impulsive and disorderly than low novelty seekers and have a higher propensity to get involved in risky activities, such as starting to misuse drugs, engaging in risky sexual activities, and suffering accidental injuries. It is measured in the Tridimensional Personality Questionnaire as well as the later version Temperament and Character Inventory and is considered one of the temperament dimensions of personality. Like the other temperament dimensions, it has been found to be highly heritable. Another related term, Variety seeking or variety-seeking buying behavior describes a consumer's desire to search for alternative products even if she or he is satisfied with a current product. For example, someone may drink tea with lunch one day but choose orange juice the next day specifically to get something different. High NS has been suggested to be related to low dopaminergic activity.

In the revised version of the Temperament and Character Inventory (TCI-R) novelty seeking consists of the following four subscales:

  1. Exploratory excitability (NS1)
  2. Impulsiveness (NS2)
  3. Extravagance (NS3)
  4. Disorderliness (NS4)

Relationship to other personality traits

A research study[6] found that Novelty seeking had inverse relationships with other Temperament and Character Inventory dimensions, particularly harm avoidance and to a more moderate extent self-directedness and self-transcendence. Novelty seeking is positively associated with the five factor model trait of extraversion and to a lesser extent openness to experience and is inversely associated with conscientiousness. Novelty seeking is positively related to Impulsive sensation seeking from Zuckerman's Alternative five model of personality and with psychoticism in Eysenck's model. When novelty seeking is defined as a decision process (i.e. in terms of the tradeoff between foregoing a familiar choice option in favor of deciding to explore a novel choice option), dopamine is directly shown to increase novelty seeking behavior. Specifically, blockade of the dopamine transporter, causing a rise in extracellular dopamine levels, increases the propensity of monkeys to select novel over familiar choice options.

Causes

Genetics

Although the exact causes for novelty seeking behaviors is unknown, there may be a link to genetics. Studies have found an area on the Dopamine receptor D4 gene on chromosome 11 that is characterized by several repeats in a particular base sequence. Multiple studies have identified a link to genetics, in particular one conducted by Dr. Benjamin and colleagues, where individuals who had longer alleles of this gene had higher novelty-seeking scores than individuals with the shorter allele. In another study relating to the gene and financial risk, Dr. Dreber and colleagues found a correlation between increased risk-taking and the DRD4 gene in young males. Although there are studies that support the link between NS and dopaminergic activity via DRD4, there are also studies that do not exhibit a strong correlation. The importance of DRD4 in novelty seeking is yet to be confirmed conclusively.

Dopamine

In addition to potential heredity, novelty seeking behaviors are seen with the modulation of dopamine. The overall effect of dopamine when exposed to a novel stimuli is a mass release of the neurotransmitter in reward systems of the brain including the mesolimbic pathway. The mesolimbic pathway is active in every type of addiction and is involved with reinforcement. Because of this activation in the brain, NS has been linked to personality disorders as well as substance abuse and other addictive behaviors. DRD4 receptors are highly expressed in areas of the limbic system associated with emotion and cognition. SNPs such as rs4680 have also been examined within this realm of study.

Age

It is important to note the individual's age with novelty seeking. This behavior will decrease with time, especially as the brains of adolescents and young adults finalize in development. Possible factors of variation include gender, ethnicity, temperament and environment

Genomics of personality traits

From Wikipedia, the free encyclopedia

Personality traits are patterns of thoughts, feelings and behaviors that reflect the tendency to respond in certain ways under certain circumstances.

Personality is influenced by genetic and environmental factors and associated with mental health. Beside the environment factor, genetic variants can be detected for personality traits. These traits are polygenic. Significant genetic variants are present for most of the behavioral traits. There is a consistency in detection of genetic variants and genomic association for traits derived from pedigree.

Personality trait research has been conducted both for humans and non-human animals like dogs.

Trait theory

For humans, the Big Five personality traits, also known as the five-factor model (FFM) or the OCEAN model, is the prevailing model for personality traits. When factor analysis (a statistical technique) is applied to personality survey data, some words or questionnaire items used to describe aspects of personality are often applied to the same person. For example, someone described as conscientious is more likely to be described as "always prepared" rather than "messy". This theory uses descriptors of common language and therefore suggests five broad dimensions commonly used to describe the human personality and psyche.

The five factors are:

Methods

The methods mostly used in genomics of personality traits' studies are two: analytic methods and non-analytic ones (such as questionnaires).

Analytic

Analytical techniques that can be used to measure genomics of personality include:

  1. GWAS, genome wide association study is a method used to define markers (these markers are single nucleotide polymorphism, SNPs) across the genomes in order to better understand the contribution of genetics to personality traits. Since SNPs occur in the DNA between genes, GWAS technique aims to find those genes that are associated with certain personality traits, for example neuroticism was reported to be associated with intronic variant in MAGI1 and openness with variants near RASA1. Recently, UK Biobank achieved several SNPs that are associated with neuroticism. The first GWAS studies on all five human personality factors (i.e. neuroticism, extraversion, openness to experience, conscientiousness and agreeableness) used a sample of 3972 individuals from an isolated population on Sardinia, Italy, and found 362 129 SNPs.
  2. DNA genotyping, which can be performed through different kits, for example:
    • The CanineHD BeadChip containing 173,662 validated SNPs derived from the Dog Genome Sequencing Project. This chip has 99.99% of reproducibility, it is a PCR-free protocol, it provides a uniform genome-wide coverage by the 70 markers placed on the platform, it has a high-throughput (up to 12 samples in parallel) and it can be applied to the interrogation of genetic variation in any domestic dog breed. The full set of SNPs that it contains can be analysed with the purpose of explaining the proportion of the phenotypic traits' variances and to show the "genomic heritabilities" of the traits (considering the total of the autosomal and X-linked estimates). For example, the study that used this approach revealed a significant genetic variance present for most of the behavioural traits examined.
    • The Infinium OmniExpress-24 BeadChip array containing 710,000 SNPs.
    • The data obtained from the DNA genotyping can be filtered by many software, such the Genome Studio one, which is able to analyze SNP data across 5 million markers and probes and that can detect sample outliers. Moreover, the data can be then subjected to stringent quality controls, such that of PLINK v1.9.
  3. RNA sequencing can provide a more precise elucidation of common genetic influences on gene expression in the developing brain and the molecular differences that could confer susceptibility to neuropsychiatric disorders. With this technique combined to the GWAS, it was possible, to provide the first eQTL dataset derived exclusively from the human fetal brain. One example of protocol used to do it is the following: total RNA was treated with DNase and purified. Integrity of RNA was assessed and then RNA-Seq libraries were prepared using 1 μg of purified total RNA, depleting ribosomal RNA and modifying the RNA fragmentation times for lower RIN samples (<7). Also library size was assessed and then libraries were quantified. At the end, libraries were sequenced, generating at least 50 million read pairs (100 million reads) per sample.
  4. Whole-Genome Bisulfite Sequencing (WGBS) to examine DNA methylation in cellular subpopulations isolated from human brain tissue. This analysis is important, because DNA methylation differences between neuronal and non-neuronal populations have been widely reported and many neuropsychiatric diseases preferentially affect neuronal subpopulations present in particular brain regions. An example of WGBS protocol is the following: samples were fragmented and then they were bisulfite converted after size selection. Amplification was performed after the bisulfite conversion using Kapa Hifi Uracil + polymerase at the following cycling conditions: 98 °C 45 s/8 cycles: 98 °C 15 s, 65 °C 30 s, 72 °C 30 s/72 °C 1 min. Final libraries were run for quality control purposes. Then, libraries were quantified by qPCR. Libraries were also sequenced using a 125 bp paired-end single indexed run.
  5. Karyotyping is performed to determine fetal sex. Sex is a parameter considered as a covariate in some studies of characterization of personality traits.
  6. Candidate gene approach focus on genes whose function suggests an association with a trait. Originally, it was assumed that few key genes were responsible for the observed heritable variance of personality features. Even though the complexity behind the polygenicity of personality traits was demonstrated, candidate gene studies are still performed today. The small number of genes selected for this type of studies are included in neurotransmission patterns, like the ones involving dopamine and serotonin. The most studied candidate genes and polymorphism related to personality, with the most informative meta-analyses, are DRD4 and 5HTT. DRD4 encodes for the D4 dopamine receptor, while 5HTT encodes for a serotonin transporter responsible for the reuptake of this neurotransmitter. According to some publications, SNPs in DRD4 are associated with extraversion and novelty seeking. Also variations in 5HTT are associated with neuroticism and harm avoidance.
  7. Family and twins studies: The studies of genomics of personality traits involves families and specifically twins, because they have a high heritability of the traits. The families and twins studies have showed that personality traits are moderately heritable, and can predict various lifetime outcomes, including psychopathology. The identical twins have a heritability of 40%, suggesting that the additive genetic effects are responsible for the variance of personality traits for a moderate portion. Family and adoption studies have yielded of approximately 30%. The sex is not involved in heritability of personality traits, on the other end environmental differences can increase or decrease the importance of genetic factors. Twins data shows that genetic influences contribute to personality stability and are relatively constant with age whereas environmental influence on personality increases with age. In addition, twin and family studies show strong genetic correlations across diverse cognitive domains, suggesting pleiotropy, and across levels of ability, substantiating the view of general intelligence as an etiological continuum. The families have members affected by psychiatric disorder, because these diseases can be considered as extremes of normal tendencies and personal traits. It is intended to foster a biological analysis of behavior in order to study neurological disorder and find a correlation with human personality, meaning that heritable variation in personality traits would share a common genetic basis with psychiatric diseases. The geneticists define the phenotype of the patients following the Human Phenotype Ontology (HPO) which provides a standardized vocabulary of phenotypic abnormalities encountered in human disease. The study of complex trait in genetics presents a gap defined as "missing heritability", so a single genetic variations cannot account for much of the heritability of diseases, behaviors, and other phenotypes. For example, a person susceptibility to disease may depend more on the combined effect of all the genes in the background than on the disease genes in the foreground, or the role of genes may have been severely overestimated.

Non analytic

Non-analytic methods mainly use approach is that of questionnaire, here discuss:

Questionnaires:

As previously mentioned, questionnaires were often used as another tool to analyze the association of a behaviour to genetic variances.

In some studies, questionnaires were indirectly given at the owners of the animals involved in the experiment and in other studies they were directly given to the patients involved. These questionnaires were:

  1. C-BARQ, which stands for Canine Behavioural Assessment and Research Questionnaire. It is a survey-based approach used in a large number of studies on dog behaviour, where the dog owner's answers to validated questionnaires to assess the personality traits of the dog. C-BARQ was developed at the University of Pennsylvania and its reliability, validity and standardized test scores support its use as a tool in behavioural researches. The C-BARQ survey contains 101 questions regarding the dog's behavioural response to various situations, with answers marked on a five-step scale. Depending on the results obtained from the compilation of the survey the dogs are divided into 11-14 behavioural traits' groups.
  2. Demographic questionnaires about general information of the dogs, such as sex, neuter status, housing, coat colour, health status, exercise per day and "Role" (based on the activities of the dog). The data obtained from questionnaires can be analysed by the Mixed Linear Model (REML) approach, that provides a consistent and accurate estimation of non-normally-distributed traits. This approach can be implemented using software as ASReml.
  3. Self-report questionnaires, which investigate several aspects of participants' life. Some examples are the following:
    • The Eysenck Personality Questionnaire (EPQ), defines 3 traits of personality: psychoticism (characterized by aggressiveness and interpersonal hostility), extraversion (manifested in outgoing, energetic behaviour) and neuroticism (typified by emotional stability).
    • The Tridimensional Personality Questionnaire (TPQ) defines 3 traits of personality that are based on the biochemical bases of temperament: novelty seeking, harm avoidance and reward dependence.
    • The Temperament and Character Inventory (TCI) defines 4 personality: persistence (or perseverance despite fatigue or frustration), self-directedness (the ability to modify behaviour in order to achieve personal goals), cooperativeness (the tendency to exhibit agreeable relations with others) and self-transcendence (associated with experiencing spiritual aspects of the self).
    • The Five Factor model (NEO-PI) is based on biological mechanisms shaping 5 higher-order traits (the big five): neuroticism (proneness to experience negative affect), extraversion (motivation to engage with others), openness to experience (inventive or curious behaviour), agreeableness (friendliness and compassion toward others) and conscientiousness (attentive and organized behaviour). This questionnaire is the most commonly used for genetic studies and it has also derivative types, such as the NEO-PI-R and NEO-FFI.
    • UK Biobank self-report questionnaire has several questions related to loneliness and social isolation and it permit to identify cases and controls and then also to compare genetic differences.

Some examples of questions are: 'Do you often feel lonely?', to which individuals answered 'yes' (recorded as cases) or 'no' (controls); other questions are based on the quality of social interactions as: 'How often are you able to confide in someone close to you?' (cases were defined as those who answered 'Never or almost never', controls were defined as those who answered 'Almost daily').

Correlation with psychiatric disorders

Scientists demonstrated that most of personality traits cluster together and they also cluster with most neuropsychiatric disorders and are therefore related. In research, scientists used linkage disequilibrium regression score to investigate the correlation between personality traits and psychiatric disorder. According to LDSC, there is a positive correlation between major depression disorder and neuroticism and a small correlation between schizophrenia and neuroticism; these correlation have also been confirmed in twins studies. Also, neuroticism and openness show strong genetic correlation. Besides, scientists found that there is a positive correlation between first principal component and all psychiatric disorders, but first principal component showed negative correlation with conscientiousness and agreeableness.

Personality features are highly linked with mental, social and physical outcome. For example, scientists realized that schizophrenia and bipolar disorders cluster with openness. Moreover, they demonstrated that ADHD shows the highest correlation with personality trait especially extraversion. Recently, the negative correlation between neuroticism and loneliness was identified as well as a strong correlation between anxiety and neuroticism. Plus, narcissism, psychopathy and Machiavellianism have association with low agreeableness. In general, neuroticism and other personality traits show negative correlation, while openness, extraversion, agreeableness and conscientiousness shows positive correlation.

Example for the genes that they find to be correlative are:

Within 8p23.1, MTMR9 has intronic variant which has association with extraversion and also with neuroticism shows inverse association. Another one is 12q23.3, WSCD2 which is found for extraversion, by using GWAS, it had been shown that this locus has association with bipolar disorder. In addition, L3MBTL2 is associated with both schizophrenia and neuroticism. Another gene is DRD4 which has association with both ADHD and novelty seeking behavior.

Examples

  1. Genetic basis of Dog Personality Traits: in different genomes of dogs, several SNPs are found close to genes with known neurological or behavioral functions. The TH (tyrosin hydroxylase) gene, whose product is LDOPA, the precursor of the neurotransmitter dopamine, is located 1 Mb from the SNP on CFA18 associated with agitated behaviour. Mutation in this gene cause hyperactivity disorder. The TH gene has been associated with activity, impassivity, and inattention in two dog breeds. The SNP associated with NoiseFear is located 0.27 Mb from CADPS2 on CFA20. CADPS2 is a member of a gene family encoding calcium-binding proteins that regulate the exocytosis of neuropeptide encompassing (dense-core) vesicles from neurons and neuron endocrine cells. The gene and its variants have been associated with autism in humans and noise phobia reported for dogs with this SNPs. Similar SNPs in dogs and in humans are correlated with the same gene which has different outcomes in terms of personality traits.
  2. Intelligence is one of the traits that are affected by genetics. Inherited DNA differences are responsible for substantial individual differences in intelligence test scores the 10% variance in intelligence scores explained by the SNP heritability.
  3. From twins studies it is possible to consider neuroticism as a heritable trait, as shown in a meta-analysis of data from over 29 000 twin pairs, in which they found this correlation in 16 twin pairs, independently from the sex of individuals.

Limitations

  • GWAS studies require very large sample size in order to be able to identify the polymorphisms which are responsible for the variance observed, since personality traits are influenced by many genes, each one explaining only a small amount of variations (1 – 2%).
  • Whole genome bisulfite sequence method has some limitations, because it is an exclusively qualitative method, so, it is possible to analyze the methylation status of only a limited number of CpG dinucleotides.
  • Candidate gene association studies led to inconsistent and inconclusive results due to the fact that the effect of the loci under study was considered to be much larger than it really was, wrong assumptions were made regarding the importance of genes related to key neurotransmitter systems, regulatory and noncoding regions were not taken into consideration.
  • Family and twins studies may result in the confounding of pedigree genetic effects with shared family environmental effects. Moreover, shared environment effects could obscure dominance variation causing dizygotic twins to appear more alike than monozygotic twins.
  • Computing education

    From Wikipedia, the free encyclopedia https://en.wikipedia.org/wiki/Computing_education Elementar...