Big Five personality traits
The Big Five personality traits, also known as the five factor model (FFM), is a model based on common language descriptors of personality (lexical hypothesis). These descriptors are grouped together using a statistical technique called factor analysis (i.e. this model is not based on experiments). This widely examined theory suggests five broad dimensions used by some psychologists to describe the human personality and psyche. The five factors have been defined as openness to experience, conscientiousness, extraversion, agreeableness, and neuroticism, often listed under the acronyms OCEAN or CANOE. Beneath each proposed global factor, a number of correlated and more specific primary factors are claimed. For example, extraversion is said to include such related qualities as gregariousness, assertiveness, excitement seeking, warmth, activity, and positive emotions.
- 1 Five factors
- 2 History
- 3 Biological and developmental factors
- 4 Group differences
- 5 Cultural differences
- 6 Relationships
- 7 Measurements
- 8 Critique
- 9 See also
- 10 References
- 11 External links
- Openness to experience: (inventive/curious vs. consistent/cautious). Appreciation for art, emotion, adventure, unusual ideas, curiosity, and variety of experience. Openness reflects the degree of intellectual curiosity, creativity and a preference for novelty and variety a person has. It is also described as the extent to which a person is imaginative or independent, and depicts a personal preference for a variety of activities over a strict routine. High openness can be perceived as unpredictability or lack of focus. Moreover, individuals with high openness are said to pursue self-actualization specifically by seeking out intense, euphoric experiences, such as skydiving, living abroad, gambling, et cetera. Conversely, those with low openness seek to gain fulfillment through perseverance, and are characterized as pragmatic and data-driven—sometimes even perceived to be dogmatic and closed-minded. Some disagreement remains about how to interpret and contextualize the openness factor.
- Conscientiousness: (efficient/organized vs. easy-going/careless). A tendency to be organized and dependable, show self-discipline, act dutifully, aim for achievement, and prefer planned rather than spontaneous behavior. High conscientiousness is often perceived as stubborn and obsessive. Low conscientiousness are flexible and spontaneous, but can be perceived as sloppy and unreliable.
- Extraversion: (outgoing/energetic vs. solitary/reserved). Energy, positive emotions, surgency, assertiveness, sociability and the tendency to seek stimulation in the company of others, and talkativeness. High extraversion is often perceived as attention-seeking, and domineering. Low extraversion causes a reserved, reflective personality, which can be perceived as aloof or self-absorbed.
- Agreeableness: (friendly/compassionate vs. analytical/detached). A tendency to be compassionate and cooperative rather than suspicious and antagonistic towards others. It is also a measure of one's trusting and helpful nature, and whether a person is generally well-tempered or not. High agreeableness is often seen as naive or submissive. Low agreeableness personalities are often competitive or challenging people, which can be seen as argumentative or untrustworthy.
- Neuroticism: (sensitive/nervous vs. secure/confident). The tendency to experience unpleasant emotions easily, such as anger, anxiety, depression, and vulnerability. Neuroticism also refers to the degree of emotional stability and impulse control and is sometimes referred to by its low pole, "emotional stability". A high need for stability manifests as a stable and calm personality, but can be seen as uninspiring and unconcerned. A low need for stability causes a reactive and excitable personality, often very dynamic individuals, but they can be perceived as unstable or insecure.
No Strong Preferences (all five dimensions): are adaptable, moderate and reasonable personalities, but can be perceived as unprincipled, inscrutable and calculating.
The Big five personality traits was the model to comprehend the relationship between personality and academic behaviors. This model was defined by several independent sets of researchers. These researchers began by studying relationships between a large number of known personality traits. They reduced the lists of these traits (arbitrarily) by 5-10 fold and then used factor analysis to group the remaining traits (using data mostly based upon people's estimations, in self-report questionnaire and peer ratings) in order to find the underlying factors of personality.
The initial model was advanced by Ernest Tupes and Raymond Christal in 1961, but failed to reach an academic audience until the 1980s. In 1990, J.M. Digman advanced his five-factor model of personality, which Lewis Goldberg extended to the highest level of organization. These five overarching domains have been found to contain and subsume most known personality traits and are assumed to represent the basic structure behind all personality traits.
At least four sets of researchers have worked independently for decades on this problem and have identified generally the same five factors: Tupes and Cristal were first, followed by Goldberg at the Oregon Research Institute, Cattell at the University of Illinois, and Costa and McCrae at the National Institutes of Health. These four sets of researchers used somewhat different methods in finding the five traits, and thus each set of five factors has somewhat different names and definitions. However, all have been found to be highly inter-correlated and factor-analytically aligned. Studies indicate that the Big Five traits are not nearly as powerful in predicting and explaining actual behavior as are the more numerous facet 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 that are also part of the Big Five. The aspects are labeled as follows: Volatility and Withdrawal for Neuroticism; Enthusiasm and Assertiveness for Extraversion; Intellect and Openness for Openness/Intellect; Industriousness and Orderliness for Conscientiousness; and Compassion and Politeness for Agreeableness.
Openness to experience
Openness 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.
A particular individual, however, may have a high overall openness score and be interested in learning and exploring new cultures but have no great interest in art or poetry.
- I have excellent ideas.
- I am quick to understand things.
- I use difficult words.
- I am full of ideas.
- I am not interested in abstractions. (reversed)
- I do not have a good imagination. (reversed)
- I have difficulty understanding abstract ideas. (reversed)
Conscientiousness is a tendency to show self-discipline, act dutifully, and aim for achievement against measures or outside expectations. It is related to the way in which people control, regulate, and direct their impulses. High scores on conscientiousness indicate a preference for planned rather than spontaneous behavior. The average level of conscientiousness rises among young adults and then declines among older adults.
- I am always prepared.
- I pay attention to details.
- I get chores done right away.
- I like order.
- I follow a schedule.
- I am exacting in my work.
- 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 is characterized by breadth of activities (as opposed to depth), surgency from external activity/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 full of energy. They tend to be enthusiastic, action-oriented individuals. They possess high group visibility, like to talk, and assert themselves.
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; instead they are more independent of their social world than extraverts. Introverts need less stimulation than extraverts and more time alone. This does not mean that they are unfriendly or antisocial; rather, they are reserved in social situations.
- I am the life of the party.
- I don't mind being the center of attention.
- I feel comfortable around people.
- I start conversations.
- I talk to a lot of different people at parties.
- I don't talk a lot. (reversed)
- I think a lot before I speak or act. (reversed)
- I don't like to draw attention to myself. (reversed)
- I am quiet around strangers. (reversed)
- I have no intention of talking in large crowds. (reversed)
The agreeableness trait reflects individual differences in 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.
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 have two evaluations completed by directly supervised subordinates. Leaders with high levels of agreeableness 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 showed no predictive power of leadership effectiveness as evaluated by the leader's direct supervisor. Agreeableness, however, has been found to be negatively related to transactional leadership in the military. A study of Asian military units showed leaders with a high level of agreeableness to be more likely to receive a low rating for transformational leadership skills. Therefore, with further research organizations may be able to determine an individual's potential for performance based on their personality traits.
- I am interested in people.
- I sympathize 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 is the tendency to experience 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 Eysenck's (1967) theory of personality, neuroticism is interlinked with low tolerance for stress or aversive stimuli. Those who score high in neuroticism are emotionally reactive and vulnerable to stress. They are more likely to interpret ordinary situations as threatening, and minor frustrations as hopelessly difficult. Their negative emotional reactions tend to persist for unusually long periods of time, which means they are often in a bad mood. For instance, neuroticism is connected to a pessimistic approach toward work, confidence that work impedes personal relationships, and apparent anxiety linked with work. Furthermore, those who score high on neuroticism may display more skin-conductance reactivity than those who score low on neuroticism. These problems in emotional regulation can diminish the ability of a person scoring high on neuroticism to think clearly, make decisions, and cope effectively with stress. Lacking contentment in one's life achievements can correlate with high neuroticism scores and increase one's likelihood of falling into clinical depression. Moreover, individuals high in neuroticism tend to experience more negative life events, but neuroticism also changes in response to positive and negative life experiences.
At the other end of the scale, individuals who score low in neuroticism 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.
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 stability to differentiate it from the term neurotic in a career test.
- I get irritated easily.
- I get stressed out easily.
- I get upset easily.
- I have frequent mood swings.
- I worry about things.
- I am much more anxious than most people.
- I am relaxed most of the time. (reversed)
- I seldom feel blue. (reversed)
Early trait research
In 1884, Sir Francis Galton was the first person who is known to have investigated the hypothesis that it is possible to derive a comprehensive taxonomy of human personality traits by sampling language: the lexical hypothesis. In 1936, Gordon Allport and S. Odbert put Sir Francis Galton's hypothesis into practice by extracting 4,504 adjectives which they believed were descriptive of observable and relatively permanent traits from the dictionaries at that time. In 1940, Raymond Cattell retained the adjectives, and eliminated synonyms to reduce the total to 171. He constructed a self-report instrument for the clusters of personality traits he found from the adjectives, which he called the Sixteen Personality Factor Questionnaire. Based on a subset of only 20 of the 36 dimensions that Cattell had originally discovered, Ernest Tupes and Raymond Christal claimed to have found just five broad factors which they labeled: "surgency", "agreeableness", "dependability", "emotional stability", and "culture". Warren Norman subsequently relabeled "dependability" as "conscientiousness".
Hiatus in research
For the next two decades, 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. However, it has subsequently been demonstrated empirically that the magnitude of the predictive correlations with real-life criteria can increase significantly under stressful emotional conditions (as opposed to the typical administration of personality measures under neutral emotional conditions), thereby accounting for a significantly greater proportion of the predictive variance.
In addition, emerging methodologies challenged this point of view during the 1980s. Instead of trying to predict single instances of behavior, which was unreliable, 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 was clear that "personality" did in fact exist. Personality and social psychologists now generally agree that both personal and situational variables are needed to account for human behavior. Trait theories became justified, and there was a resurgence of interest in this area. In the 1980s, Lewis Goldberg started his own lexical project, emphasizing five broad factors once again. He later coined the term "Big Five" as a label for the factors.
In a 1980 symposium in Honolulu, four prominent researchers, Lewis Goldberg, Naomi Takemoto-Chock, Andrew Comrey, and John M. Digman, reviewed the available personality instruments of the day. This event was followed by widespread acceptance of the five-factor model among personality researchers during the 1980s. Peter Saville and his team included the five-factor "Pentagon" model with the original OPQ in 1984. Pentagon was closely followed by the NEO five-factor personality inventory, published by Costa and McCrae in 1985. However, the methodology employed in constructing the NEO-PI-R instrument has been subjected to critical scrutiny (see section below).
Biological and developmental factors
Temperament vs. personality
There are debates between researchers of temperament and researchers of personality 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 manifestations of virtually the same latent qualities. Some believe that early childhood temperaments may become adolescent and adult personality traits as individuals' basic genetic characteristics actively, reactively, and passively interact with their changing environments.
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 socialization of an individual possessing these four types of features. Temperament interacts with social-cultural factors, but still cannot be controlled or easily changed by these factors. Therefore, it is suggested that temperament should be kept as an independent concept for further studies and not be conflated with personality. Moreover, temperament refers to dynamical 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 behavior (such as values, attitudes, habits, preferences, personal history, self-image). Temperament researchers point out that the lack of attention to extant temperament research by the developers of the Big Five model lead 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, extraversion the temperament dimension of "energy" or "activity", and openness to experience the temperament dimension of sensation-seeking.
Some twin studies suggest that heritability and environmental factors both influence all five factors to the same degree. Among four recent twin studies, 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%.
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.
Development during childhood and adolescence
Yet, recent studies have begun to explore the developmental origins and trajectories of the Big Five among children and adolescents. 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. Some of these differences 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.
The structure, manifestations, and development of the Big Five in childhood and adolescence has 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.
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 traits that are similar to the previously described traits of temperament - activity, sociability, shyness, and the trait of 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, 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.
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 cultures. A plausible explanation for this is that acts 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. Differences in the magnitude of sex differences between more or less developed world regions were due to differences between men, not women, in these respective regions. That is, men in highly developed world regions were less neurotic, extraverted, conscientious and agreeable compared to men in less developed world regions. Women, on the other hand tended not to differ in personality traits across regions. The authors of this study speculated that resource-poor environments (that is, countries with low levels of development) may inhibit the development of gender differences, whereas resource-rich environments facilitate them. This may be because males require more resources than females in order to reach their full developmental potential. The authors also argued that due to different evolutionary pressures, men may have evolved to be more risk taking and socially dominant, whereas women evolved to be more cautious and nurturing. Ancient hunter-gatherer societies may have been more egalitarian than later agriculturally oriented societies. Hence, the development of gender inequalities may have acted to constrain the development of gender differences in personality that originally evolved in hunter-gatherer societies. As modern societies have become more egalitarian, again, it may be that innate sex differences are no longer constrained and hence manifest more fully than in less-developed cultures. Currently, this hypothesis remains untested, as gender differences in modern societies have not been compared with those in hunter-gatherer societies.
Frank Sulloway argues that firstborns are more conscientious, more socially dominant, less agreeable, and less open to new ideas compared to laterborns. 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.
The Big Five have been replicated in a variety of languages and cultures, such as German, Chinese, Indian, etc. For example, Thompson has demonstrated 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 sometimes identified.
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. Although this is an active area of research, the reasons for these differences are as yet unknown.
Attempts to replicate the Big Five in other countries with local dictionaries have succeeded in some countries but not in others. Apparently, for instance, Hungarians do not appear to have a single agreeableness factor. Other researchers have found evidence for agreeableness but not for other factors.
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 researches 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
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).
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 CMD. A large-scale meta-analysis (n > 75,000) examining the relationship between all of the Big Five personality traits and CMDs found that low conscientiousness yielded consistently strong effects for each CMD 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 mortality and is highly correlated with making poor health choices. In regards to the other personality domains, the meta-analysis found that all CMDs 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. It is also important to note that 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 for 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.
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.
Personality plays an important role that affects academic achievement. A study conducted with 308 undergraduates who completed the Five Factor Inventory Processes and offered 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 has an inverse relationship with them all. 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 curiousness has significant enhancement in academic performance if students can 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.
- GPA and exam performance are both predicted by conscientiousness
- neuroticism is negatively related to academic success
- openness predicts utilizing synthesis-analysis and elaborative-processing learning styles
- neuroticism negatively correlates with learning styles in general
- openness and extraversion both predict all four learning styles.
Studies conducted on college students have concluded that hope, which is linked to agreeableness, 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 have been described as "enduring ways of thinking and processing information."
Although there is no evidence that personality determines thinking styles, they 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.
Smeck, Ribicj, and Ramanaih (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 than not found to be more conscientious, intellectually open, and extraverted when compared to 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 follow:
|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.
Besides openness, all Big Five personality traits helped predict the educational identity of students. Based on these findings, scientists are beginning to see that there might be a large influence of the Big Five traits on academic motivation that then leads to predicting a student's academic performance.
Recent studies suggest 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 experiences fewer study delays. The reason conscientiousness shows a positive association with the four learning styles is because students with high levels of conscientiousness develop focused learning strategies and appear to be more disciplined and achievement-oriented.
However, the American Psychological Society recently commissioned a report whose conclusion indicates that no significant evidence exists to make the conclusion that learning-style assessments should be included in the education system. The APA also suggested in their report that all existing learning styles have not been exhausted and that there could exist learning styles that have the potential to be worthy of being included in educational practices. Thus, it is premature, at best, to conclude that the evidence linking the Big Five to "learning styles" or "learning styles" to learning itself is valid.
It is believed that the Big Five traits are predictors of future performance outcomes. 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 co-authored by six current or former editors of psychological journals, Dr. Kevin Murphy, Professor of Psychology at Pennsylvania State University and Editor of the Journal of Applied Psychology (1996-2002), 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 (1) that the correlations obtained by psychometric personality researchers were actually very respectable by comparative standards, and (2) 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.
There have been studies that link national innovation to openness to experience and conscientiousness. Those who express these traits have showed leadership and beneficial ideas towards the country of origin.
Some businesses, organizations, and interviewers assess individuals based on the Big Five personality traits. Research has suggested that individuals who are considered leaders typically exhibit lower amounts of neurotic traits, maintain higher levels of openness (envisioning success), balanced levels of conscientiousness (well-organized), and balanced levels of extraversion (outgoing, but not excessive). Further studies have linked professional burnout to neuroticism, and extraversion to enduring positive work experience. When it comes to making money, research has suggested that those who are high in agreeableness (especially men) are not as successful in accumulating income.
Some research suggests that vocational outcomes are correlated to Big Five personality traits. Conscientiousness predicts job performance in general. In addition, research has demonstrated that Agreeableness is negatively related to salary. Those high in Agreeableness make less, on average, than those low in the same trait. Neuroticism is also negatively related to salary while Conscientiousness and Extraversion are positive predictors of salary. Occupational self-efficacy has also been shown to be positively correlated with conscientiousness and negatively correlated with neuroticism. Significant predictors of career-advancement goals are: extraversion, conscientiousness, and agreeableness.
Research designed to investigate the individual effects of Big Five personality traits on work performance via worker completed surveys and supervisor ratings of work performance has implicated individual traits in several different work roles performances. A "work role" is defined as the responsibilities an individual has while they are working. Nine work roles have been identified, which can be classified in three broader categories: proficiency (the ability of a worker to effectively perform their work duties), adaptivity (a workers ability to change working strategies in response to changing work environments), and proactivity (extent to which a worker will spontaneously put forth effort to change the work environment). These three categories of behavior can then be directed towards three different levels: either the individual, team, or organizational level leading to the nine different work role performance possibilities.
- 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.
- Agreeableness is negatively related to individual task proactivity.
- Extraversion is negatively related to individual task proficiency.
- Conscientiousness is positively related to all forms of work role performance.
- Neuroticism is negatively related to all forms of work role performance.
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 active traits which leads to work relevant behaviors. Role theory suggests that role senders provide cues to elicit desired behaviors. In this context, role senders (i.e.: supervisors, managers, et cetera) 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.
The predictive power of the Big Five personality traits extends to satisfaction in romantic relationships. Recent research demonstrates that personality trait levels may predict relationship quality in dating, engaged, and married couples via measures of the Big Five, self-reported measures of personality traits and relationship quality by participants in romantic relationships, partner-reported measures of participating partner's personality traits and relationship quality, physiological measures, and ratings of relationship quality by a qualified observer.
- Self-reported relationship quality is positively related to self-reported conscientiousness
- Self-reported agreeableness is positively related to others' ratings of relationship quality
- Partner-reported neuroticism is negatively related to self-reported quality and positively related to conscientiousness
- Self-reported relationship quality was higher among those high in extraversion and conscientiousness
- Observers rated the relationship quality higher if the participating partner's self-reported extraversion was high
- High self-reported neuroticism, extraversion, and agreeableness are related to high levels of self-reported relationship quality
- Partner-reported agreeableness is related to observed relationship quality.
Predictive power of personality traits
The predictive power of the Big Five personality traits is robust across life domains: personal, interpersonal, and social or institutional. Recent research indicated that personality traits may be equally strong predictors of mortality (adding as much as five years to one's life), divorce, and job performance as socioeconomic status and cognitive ability. High neuroticism antedates the development of all common mental disorders. However, research in support of this finding is limited and further evidence is required to fully uncover the strength of the predictive power of personality traits on life outcomes. Social and contextual parameters also play a role in outcomes and the interaction between the two is not yet fully understood.
Several measures of the Big Five exist:
- International Personality Item Pool (IPIP)
- 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. For example, questionnaires are answered by potential employees who might choose answers that paint them in the best light. This bias becomes especially important when considering why scores may differ between individuals or groups of people– differences in scores may represent genuine underlying personality differences, or they may simply be an artifact of the way the subjects answered the questions.
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. Schwartz's research is a departure from many of the efforts that other researchers have made in that it uses data that was not taken specifically in order to determine personality.
Subsequent critical replies by Jack Block at the University of California Berkeley followed. 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 data-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, the exchange of information and to synchronize group activity. This social function of language therefore creates a sociability bias in verbal descriptors of human behaviour: 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 a 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.
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.
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.
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 dataset, only the five factor structure consistently replicates across different studies.
Moreover, factor analysis that this model is based on, is a linear method incapable to capture nonlinear, feedback and contingent relationships between core systems of individual differences.
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.
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.
- Core self-evaluations
- Goal orientation
- DISC assessment
- HEXACO model of personality structure
- Moral Foundations Theory
- Myers-Briggs Type Indicator
- Personality psychology
- Szondi test
- Trait theory
- Goldberg, L. R. (1993). "The structure of phenotypic personality traits". American Psychologist. 48: 26–34. doi:10.1037/0003-066x.48.1.26.
- Costa, P.T. Jr. & McCrae, R.R. (1992). Revised NEO Personality Inventory (NEO-PI-R) and NEO Five-Factor Inventory (NEO-FFI) manual. Odessa, FL: Psychological Assessment Resources.
- Matthews, Gerald; Deary, Ian J.; Whiteman, Martha C. (2003). Personality Traits (PDF) (2nd ed.). Cambridge University Press. ISBN 9780521831079.
- Toegel, G.; Barsoux, J. L. (2012). "How to become a better leader". MIT Sloan Management Review. 53 (3): 51–60.
- Poropat, A. E. (2009). "A meta-analysis of the ﬁve-factor model of personality and academic performance". Psychological Bulletin. 135: 322–338. doi:10.1037/a0014996.
- Digman, J.M. (1990). "Personality structure: Emergence of the five-factor model". Annual Review of Psychology. 41: 417–440. doi:10.1146/annurev.ps.41.020190.002221.
- Patrick E. Shrout, Susan T. Fiske (1995). "Personality research, methods, and theory". Psychology Press.
- Allport, G. W.; Odbert, H. S. (1936). "Trait names: A psycholexical study". Psychological Monographs. 47: 211. doi:10.1037/h0093360.
- Cattell, R. B.; Marshall, MB; Georgiades, S (1957). "Personality and motivation: Structure and measurement". Journal of Personality Disorders. 19 (1): 53–67. doi:10.1521/pedi.126.96.36.199180. PMID 15899720.
- Tupes, E. C., & Christal, R. E. (1961). Recurrent personality factors based on trait ratings. USAF ASD Tech. Rep. No. 61-97, Lackland Airforce Base, TX: U. S. Air Force.
- Norman, W. T. (1963). "Toward an adequate taxonomy of personality attributes: Replicated factor structure in peer nomination personality ratings". Journal of Abnormal and Social Psychology. 66 (6): 574–583. doi:10.1037/h0040291. PMID 13938947.
- Tupes, E.C., & Christal, R.E., Recurrent Personality Factors Based on Trait Ratings. Technical Report ASD-TR-61-97, Lackland Air Force Base, TX: Personnel Laboratory, Air Force Systems Command, 1961
- Goldberg, L. R. (1993). "The structure of phenotypic personality traits". American Psychologist. 48 (1): 26–34. doi:10.1037/0003-066X.48.1.26. PMID 8427480.
- O'Connor, Brian (2002). "A Quantitative Review of the Comprehensiveness of the Five-Factor Model in Relation to Popular Personality Inventories". Assessment. 9 (2): 188–203. doi:10.1177/1073191102092010. PMID 12066834.
- Goldberg, L.R. (1982). "From Ace to Zombie: Some explorations in the language of personality". In C.D. Spielberger & J.N. Butcher. Advances in personality assessment. 1. Hillsdale, NJ: Erlbaum. pp. 201–234.
- Norman, W.T.; Goldberg, L.R. (1966). "Raters, ratees, and randomness in personality structure". Journal of Personality and Social Psychology. 4 (6): 681–691. doi:10.1037/h0024002.
- Peabody, D.; Goldberg, L.R. (1989). "Some determinants of factor structures from personality-trait descriptors". Journal of Personality and Social Psychology. 57 (3): 552–567. doi:10.1037/0022-35188.8.131.522. PMID 2778639.
- Saucier, G. & Goldberg, L.R. (1996). The language of personality: Lexical perspectives on the five-factor model. In J.S. Wiggins (Ed.), The five-factor model of personality: Theoretical perspectives. New York: Guilford.[page needed]
- Digman, J.M. (1989). "Five robust trait dimensions: Development, stability, and utility". Journal of Personality. 57 (2): 195–214. doi:10.1111/j.1467-6494.1989.tb00480.x. PMID 2671337.
- Karson, S. & O'Dell, J.W. (1976). A guide to the clinical use of the 16PF. Champaign, IL: Institute for Personality & Ability Testing.
- Krug, S.E.; Johns, E.F. (1986). "A large scale cross-validation of second-order personality structure defined by the 16PF". Psychological Reports. 59 (2): 683–693. doi:10.2466/pr0.19184.108.40.2063.
- Cattell, H.E.P, and Mead, A.D. (2007). The 16 Personality Factor Questionnaire (16PF). In G.J. Boyle, G. Matthews, and D.H. Saklofske (Eds.), Handbook of personality theory and testing: Vol. 2: Personality measurement and assessment. London: Sage.[page needed]
- Costa, P.T.; Jr, RR; McCrae, R.R. (1976). "Age differences in personality structure: A cluster analytic approach". Journal of Gerontology. 31 (5): 564–570. doi:10.1093/geronj/31.5.564. PMID 950450.
- Costa, P.T. Jr. & McCrae, R.R. (1985). The NEO Personality Inventory manual. Odessa, FL: Psychological Assessment Resources.
- McCrae, R.R.; Costa, P.T.; Jr (1987). "Validation of the five-factor model of personality across instruments and observers". Journal of Personality and Social Psychology. 52 (1): 81–90. doi:10.1037/0022-35220.127.116.11. PMID 3820081.
- McCrae, R.R.; John, O.P. (1992). "An introduction to the five-factor model and its applications". Journal of Personality. 60 (2): 175–215. doi:10.1111/j.1467-6494.1992.tb00970.x. PMID 1635039.
- International Personality Item Pool. (2001). A scientific collaboration for the development of advanced measures of personality traits and other individual differences (IPIP.ori.org)[verification needed]
- Carnivez, G.L. & Allen, T.J. (2005). Convergent and factorial validity of the 16PF and the NEO-PI-R. Paper presented at the annual convention of the American Psychological Association, Washington, D.C.
- Conn, S. & Rieke, M. (1994). The 16PF Fifth Edition technical manual. Champaign, IL: Institute for Personality & Ability Testing.
- Cattell, H.E. (1996). "The original big five: A historical perspective". European Review of Applied Psychology. 46: 5–14.
- Grucza, R.A.; Goldberg, L.R. (2007). "The comparative validity of 11 modern personality inventories: Predictions of behavioral acts, informant reports, and clinical indicators". Journal of Personality Assessment. 89 (2): 167–187. doi:10.1080/00223890701468568. PMID 17764394.
- Mershon, B.; Gorsuch, R.L. (1988). "Number of factors in the personality sphere: does increase in factors increase predictability of real-life criteria?". Journal of Personality and Social Psychology. 55 (4): 675–680. doi:10.1037/0022-3518.104.22.1685.
- Paunonen, S.V.; Ashton, M.S. (2001). "Big Five factors and facets and the prediction of behavior". Journal of Personality & Social Psychology. 81 (3): 524–539. doi:10.1037/0022-3522.214.171.1244.
- DeYoung, C. G.; Quilty, L. C.; Peterson, J. B. (2007). "Between facets and domain: 10 aspects of the Big Five". J. Pers. Soc. Psychol. 93: 880–896.
- International Personality Item Pool
- Costa, P. T., & McCrae, R. R. (1992). Neo PI-R professional manual. Odessa, FL: Psychological.
- "Research Reports on Science from Michigan State University Provide New Insights". Science Letter. Gale Student Resource in Context. Retrieved 4 April 2012.
- Laney, Marti Olsen (2002). The Introvert Advantage. Canada: Thomas Allen & Son Limited. pp. 28, 35. ISBN 0-7611-2369-5.
- "An Examination of the Impact of Selected Personality Traits on the Innovative Behaviour of Entrepreneurs in Nigeria". cscanada. Canadian Research & Development Center of Sciences and Cultures. Retrieved 14 November 2012.
- Rothmann, S; Coetzer, E. P. (24 October 2003). "The big five personality dimensions and job performance". SA Journal of Industrial Psychology. 29. doi:10.4102/sajip.v29i1.88. Retrieved 27 June 2013.
- ""Daisy, daisy, give me your answer do!" switching off a robot". Bartneck, C.Van der Hoek, M. ; Mubin, O. ; Al Mahmud, A. Dept. of Ind. Design, Eindhoven Univ. of Technol., Eindhoven, Netherlands. Retrieved 6 February 2013.
- Judge, TA.; Bono, JE (2000). "Five-factor model of personality and transformational leadership". Journal of Applied Psychology. 85 (5): 751–765. doi:10.1037/0021-9010.85.5.751. PMID 11055147.
- Lim, B.; Ployhart, R. E. (2004). "Transformational leadership: Relations to the five-factor model and team performance in typical and maximum contexts". Journal of Applied Psychology. 89 (4): 610–621. doi:10.1037/0021-9010.89.4.610. PMID 15327348.
- Jeronimus, B.F.; Riese, H.; Sanderman, R.; Ormel, J. (2014). "Mutual Reinforcement Between Neuroticism and Life Experiences: A Five-Wave, 16-Year Study to Test Reciprocal Causation". Journal of Personality and Social Psychology. 107 (4): 751–64. doi:10.1037/a0037009. PMID 25111305.
- Norris, C. J.; Larsen, J. T.; Cacioppo, J. T. (2007). "Neuroticism is associated with larger and more prolonged electrodermal responses to emotionally evocative pictures" (PDF). Psychophysiology. 44 (5): 823–826. doi:10.1111/j.1469-8986.2007.00551.x. PMID 17596178.
- Fiske, S. T.; Gilbert, D. T.; Lindzey, G. (2009). Handbook of Social Psychology. Hoboken, NJ: Wiley.
- "Neuroticism Modifies Psychophysiological Responses to Fearful Films". PLOS ONE. 7 (3): e32413. 2012. doi:10.1371/journal.pone.0032413.
- "Neuroticism". 5 (2). 2008: 486–487.
- Jeronimus, B.F.; Ormel, J.; Aleman, A.; Penninx, B.W.J.H.; Riese, H. (2013). "Negative and positive life events are associated with small but lasting change in neuroticism". Psychological Medicine. 43 (11): 2403–15. doi:10.1017/s0033291713000159. PMID 23410535.
- Dolan,S.L. (2006). Stress, Self-Esteem, Health and Work, pp 76.
- Strack, S. (2006). Differentiating Normal and Abnormal Personality: Second Edition. New York, NY: Springer Publishing Company.
- Allport, G.W; Odbert, H. S (1936). "Trait names: A psycholexical study". Psychological Monographs. 47: 211.
- Boyle, G. J. (1983). "Effects on academic learning of manipulating emotional states and motivational dynamics". British Journal of Educational Psychology. 53: 347–357. doi:10.1111/j.2044-8279.1983.tb02567.x.
- Epstein, S. & O'Brien, E.J. (1985). "The person-situation debate in historical and current perspective". Psychological Bulletin. 98 (3): 513–537. doi:10.1037/0033-2909.98.3.513.
- Kenrick, D.T. & Funder, D.C. (1988). "Profiting from controversy: Lessons from the person-situation debate". American Psychologist. 43 (1): 23–34. doi:10.1037/0003-066x.43.1.23.
- Lucas, Richard E. & Donnellan, M. Brent (2009). "If the person-situation debate is really over, why does it still generate so much negative affect?". Journal of Research in Personality. 43 (3): 146–149. doi:10.1016/j.jrp.2009.02.009.
- Eysenck, M. W.; Eysenck, H. J. (1980). "Mischel and the concept of personality". British Journal of Psychology. 71 (2): 191–204. doi:10.1111/j.2044-8295.1980.tb01737.x.
- Goldberg, L. R. (1981). Language and individual differences: The search for universals in personality lexicons. In Wheeler (ed.), Review of Personality and social psychology, vol. 1, 141–165. Beverly Hills, CA: Sage.
- Goldberg, L. R. (1980, May). Some ruminations about the structure of individual differences: Developing a common lexicon for the major characteristics of human personality. Symposium presentation at the meeting of the Western Psychological Association, Honolulu, HI.
- SHL, SHL (1984). "OPQ Manual".
- Boyle, G. J., Stankov, L., & Cattell, R. B. (1995). Measurement and statistical models in the study of personality and intelligence. In D. H. Saklofske & M. Zeidner (Eds.), International Handbook of Personality and Intelligence (pp.431-433).
- Rothbart, M. K.; Ahadi, S. A.; Evans, D. E. (2000). "Temperament and personality: Origins and outcomes". Journal of Personality and Social Psychology. 78 (1): 122–135. doi:10.1037/0022-35126.96.36.199.
- Shiner, R.; Caspi, A. (2003). "Personality differences in childhood and adolescence: Measurement, development, and consequences". Journal of Child Psychology and Psychiatry. 44 (1): 2–32. doi:10.1111/1469-7610.00101. PMID 12553411.
- McCrae, R.R.; Costa, P.T.; Ostendorf, F.; Angleitner, A.; Hrebickova, M.; Avia, M.D.; Sanz, J.; Sanchez- Bernardos, M.L. (2000). "Nature over nurture: Temperament, personality, and life span development". Journal of Personality and Social Psychology. 78: 173–186. doi:10.1037/0022-35188.8.131.52. PMID 10653513.
- Markley, P. M.; Markey, C. N.; Tinsley, B. J. (2004). "Children's behavioral manifestations of the five-factor model of personality". Personality and Social Psychology Bulletin. 30 (4): 423–432. doi:10.1177/0146167203261886.
- Rusalov, VM (1989). "Motor and communicative aspects of human temperament: a new questionnaire of the structure of temperament.". Personality and Individual Differences. 10: 817–827. doi:10.1016/0191-8869(89)90017-2.
- Strelau, J (1998). Temperament: A Psychological Perspective. New York: Plenum.
- Rusalov, VM; Trofimova, IN (2007). Structure of Temperament and Its Measurement. Toronto, Canada: Psychological Services Press.
- Trofimova, IN (2016). "The interlocking between functional aspects of activities and a neurochemical model of adult temperament.". In: Arnold, M.C. (Ed.) Temperaments: Individual Differences, Social and Environmental Influences and Impact on Quality of Life. New York: Nova Science Publishers, Inc.: 77–147.
- Trofimova, IN (2010). "An investigation into differences between the structure of temperament and the structure of personality". American Journal of Psychology. 123 (4): 467–480. doi:10.5406/amerjpsyc.123.4.0467.
- Jang, K.; Livesley, W. J.; Vemon, P. A. (1996). "Heritability of the Big Five Personality Dimensions and Their Facets: A Twin Study". Journal of Personality. 64 (3): 577–591. doi:10.1111/j.1467-6494.1996.tb00522.x. PMID 8776880.
- Bouchard, Thomas J.; McGue, Matt (2003). "Genetic and environmental influences on human psychological differences". Journal of Neurobiology. 54 (1): 4–45. doi:10.1002/neu.10160. PMID 12486697.
- Weiss, A; King, JE; Hopkins, WD (2007). "A Cross-Setting Study of Chimpanzee (Pan troglodytes) Personality Structure and Development: Zoological Parks and Yerkes National Primate Research Center". American Journal of Primatology. 69 (11): 1264–77. doi:10.1002/ajp.20428. PMC . PMID 17397036.
- Gosling, S. D.; John, O. P. (1999). "Personality Dimensions in Nonhuman Animals: A Cross-Species Review" (PDF). Current Directions in Psychological Science. 8 (3): 69–75. doi:10.1111/1467-8721.00017.
- Lewis, M (2001). "Issues in the study of personality development". Psychological Inquiry. 12: 67–83. doi:10.1207/s15327965pli1202_02.
- Goldberg, L.R. (2001). "Analyses of Digman's child- personality data: Derivation of Big Five Factor Scores from each of six samples". Journal of Personality. 69: 709–743. doi:10.1111/1467-6494.695161.
- Mervielde, I., & De Fruyt, F. (1999). Construction of the Hierarchical Personality Inventory for Children (Hi- PIC). In I. Mervielde, I. Deary, F. De Fruyt, & F. Ostendorf (Eds.). Personality psychology in Europe: Proceedings of the Eighth European Conference on Personality (pp. 107–127). Tilburg University Press.
- Resing, W.C.M.; Bleichrodt, N.; Dekker, P.H. (1999). "Measuring personality traits in the classroom". European Journal of Personality. 13: 493–509. doi:10.1002/(sici)1099-0984(199911/12)13:6<493::aid-per355>3.0.co;2-v.
- Markey, P. M.; Markey, C. N.; Ericksen, A. J.; Tinsley, B. J. (2002). "A preliminary validation of preadolescents' self-reports using the Five-Factor Model of personality". Journal of Research in Personality. 36 (2): 173–181. doi:10.1006/jrpe.2001.2341.
- Scholte, R.H.J.; van Aken, M.A.G.; van Lieshout, C.F.M. (1997). "Adolescent personality factors in self- ratings and peer nominations and their prediction of peer acceptance and peer rejection". Journal of Personality Assessment. 69: 534–554. doi:10.1207/s15327752jpa6903_8.
- van Lieshout, C.F.M., & Haselager, G.J.T. (1994). The Big Five personality factors in Q-sort descriptions of children and adolescents. In C.F. Halverson Jr., G.A. Kohnstamm & R.P. Martin (Eds.). The developing structure of temperament and personality from infancy to adulthood (pp. 293–318). Hillsdale NJ: Erlbaum.
- Halverson, C.F., Kohnstamm, G.A., & Martin, R.P. (Eds.). (1994). The developing structure of temperament and personality from infancy to adulthood. Hillsdale, NJ: Erlbaum.
- Kohnstamm, G.A., Halverson, C.F., Mervielde, I., & Avilla, V. (1998). Parental descriptions of child personality: Developmental antecedents of the Big Five? Mahwah, NJ: Erlbaum.
- Mervielde, I., De Fruyt, F., & Jarmuz, S. (1998). Linking openness and intellect in childhood and adulthood. In G.A. Kohnstamm, C.F. Halverson, I. Mervielde, & V.L. Havill (Eds.), Parental descriptions of child personality: Developmental antecedents of the Big Five? (pp. 105–126). Mahway, NJ: Erlbaum
- John, O. P., & Srivastava, S. (1999). The Big-Five trait taxonomy: history, measurement, and theoretical perspectives. In L. A. Pervin & O. P. John (Eds.), Handbook of personality: Theory and research (Vol. 2, pp. 102–138). New York: Guilford Press.
- Lemery, K.S.; Goldsmith, H.H.; Klinnert, M.D.; Mrazek, D.A. (1999). "Developmental models of infant and childhood temperament". Developmental Psychology. 35: 189–204. doi:10.1037/0012-16184.108.40.206.
- Buss, A. & Plomin, R. (1984) Temperament: early developing personality trait. Hillsdale: Erlbaum.
- Kagan J & Snidman N (2009). The Long Shadow of Temperament. Harward University Press: MA.
- Rothbart, M.K.; Ahadi, S.A.; Hershey, K.L.; Fisher, P. (2001). "Investigations of temperament at three to seven years: The Children's Behavior Questionnaire". Child Development. 72: 1394–1408. doi:10.1111/1467-8624.00355.
- John, O.P.; Caspi, A.; Robins, R.W.; Moffitt, T.E.; Stouthamer-Loeber, M. (1994). "The 'Little Five': Exploring the five-factor model of personality in adolescent boys". Child Development. 65: 160–178. doi:10.2307/1131373.
- Eaton, W.O. (1994). Temperament, development, and the Five-Factor Model: Lessons from activity level. In C.F. Halverson, G.A. Kohnstamm, & R.P. Martin (Eds.), The developing structure of temperament and personality from infancy to adulthood (pp. 173–187). Hillsdale, NJ: Erlbaum.
- Hawley, P.H. (1999). "The ontogenesis of social domin- ance: A strategy-based evolutionary perspective". Developmental Review. 19: 97–132. doi:10.1006/drev.1998.0470.
- Hawley, P.H.; Little, T.D. (1999). "On winning some and losing some: A social relations approach to social dominance in toddlers". Merrill Palmer Quarterly. 45: 185–214.
- Sherif, M., Harvey, O., White, B.J., Hood, W.R., & Sherif, C. (1961). Intergroup conflict and cooperation: The robbers' cave experiment. Norman, OK: University of Oklahoma Press.
- Keating, C.F.; Heltman, K.R. (1994). "Dominance and deception in children and adults: Are leaders the best misleaders?". Personality and Social Psychology Bulletin. 20: 312–321. doi:10.1177/0146167294203009.
- Asendorpf, J.B. (1990). "Development of inhibition during childhood: Evidence for situational specificity and a two-factor model". Developmental Psychology. 26: 721–730. doi:10.1037/0012-16220.127.116.111.
- Asendorpf, J.B.; Meier, G.H. (1993). "Personality effects on children's speech in everyday life: Sociability-mediated exposure and shyness-mediated re- activity to social situations". Journal of Personality and Social Psychology. 64: 1072–1083. doi:10.1037/0022-3518.104.22.1682.
- Harrist, A.W.; Zaia, A.F.; Bates, J.E.; Dodge, K.A.; Pettit, G.S. (1997). "Subtypes of social withdrawal in early childhood: Sociometric status and social-cognitive differences across four years". Child Development. 68: 278–294. doi:10.2307/1131850.
- Mathiesen, K.S.; Tambe, K. (1999). "The EAS Temperament Questionnaire – Factor structure, age trends, reliability, and stability in a Norwegian sample". Journal of Child Psychology and Psychiatry. 40: 431–439. doi:10.1111/1469-7610.00460.
- McCrae, R. R. & Costa, P. T. (1990). Personality in adulthood. New York: The Guildford Press.[page needed]
- Cobb-Clark, D. A.; Schurer, S. (2012). "The stability of big-five personality traits". Economics Letters. 115 (2): 11–15. doi:10.1016/2011.11.015.
- Srivastava, S.; John, O. P.; Gosling, S. D.; Potter, J. (2003). "Development of personality in early and middle adulthood: Set like plaster or persistent change?". Journal of Personality and Social Psychology. 84 (5): 1041–1053. doi:10.1037/0022-3522.214.171.1241. PMID 12757147.
- Soto, C. J.; Gosling, Potter (Feb 2011). "Age differences in personality traits from 10 to 65: Big Five domains and facets in a large cross-sectional sample". Journal of Personality and Social Psychology. 100 (2): 300–348. doi:10.1037/a0021717. PMID 21171787.
- Roberts, B. W.; Mroczek, D. (2008). "Personality Trait Change in Adulthood". Current Directions in Psychological Science. 17 (1): 31–35. doi:10.1111/j.1467-8721.2008.00543.x. PMC . PMID 19756219.
- Fleeson, W. (2001). "Towards a structure- and process-integrated view of personality: Traits as density distributions of states". Journal of Personality and Social Psychology. 80: 1011–1027. doi:10.1037/0022-35126.96.36.1991.
- Mõttus, René; Johnson, Wendy; Starr, John M.; Dearya, Ian J. (June 2012). "Correlates of personality trait levels and their changes in very old age: The Lothian Birth Cohort 1921". Journal of Research in Personality. 46 (3): 271–8. doi:10.1016/j.jrp.2012.02.004.
- Cobb-Clark, Deborah A.; Schurer, Stefanie (April 2012). "The stability of big-five personality traits". Economics Letters. 115 (1): 11–5. doi:10.1016/j.econlet.2011.11.015.
- Cavallera, G.; Passerini, A.; Pepe, A. (2013). "Personality and gender in swimmers in indoor practice at leisure level.". Social Behaviour and Personality. 41 (4): 693–704. doi:10.2224/2013414693.
- Costa, P.T. Jr.; Terracciano, A.; McCrae, R.R. (2001). "Gender Differences in Personality Traits Across Cultures: Robust and Surprising Findings". Journal of Personality and Social Psychology. 81 (2): 322–331. doi:10.1037/0022-35188.8.131.522. PMID 11519935.
- Schmitt, D. P.; Realo, A.; Voracek, M.; Allik, J. (2008). "Why can't a man be more like a woman? Sex differences in Big Five personality traits across 55 cultures". Journal of Personality and Social Psychology. 94 (1): 168–182. doi:10.1037/0022-35184.108.40.206. PMID 18179326.
- Harris, J. R. (2006). No two alike: Human nature and human individuality. WW Norton & Company.
- Jefferson, T.; Herbst, J. H.; McCrae, R. R. (1998). "Associations between birth order and personality traits: Evidence from self-reports and observer ratings". Journal of Research in Personality. 32 (4): 498–509. doi:10.1006/jrpe.1998.2233.
- Ostendorf, F. (1990). Sprache und Persoenlichkeitsstruktur: Zur Validitaet des Funf-Factoren-Modells der Persoenlichkeit. Regensburg, Germany: S. Roderer Verlag.[page needed]
- Trull, T. J.; Geary, D. C. (1997). "Comparison of the big-five factor structure across samples of Chinese and American adults". Journal of Personality Assessment. 69 (2): 324–341. doi:10.1207/s15327752jpa6902_6. PMID 9392894.
- Lodhi, P. H., Deo, S., & Belhekar, V. M. (2002). The Five-Factor model of personality in Indian context: measurement and correlates. In R. R. McCrae & J. Allik (Eds.), The Five-Factor model of personality across cultures (pp. 227–248). N.Y.: Kluwer Academic Publisher
- McCrae, R. R. (2002). NEO-PI-R data from 36 cultures: Further Intercultural comparisons. In R. R. McCrae & J. Alik. (Eds.), The Five-Factor model of personality across cultures (pp. 105–125). New York: Kluwer Academic Publisher.
- Thompson, E.R. (2008). "Development and validation of an international English big-five mini-markers". Personality and Individual Differences. 45 (6): 542–548. doi:10.1016/j.paid.2008.06.013.
- Cheung, F. M.; Vijver, F. J. R. van de; Leong, F. T. L. (2011). "Toward a new approach to the study of personality in culture". American Psychologist. 66: 593–603. doi:10.1037/a0022389.
- McCrae, Robert R.; Terracciano, Antonio; Personality Profiles of Cultures Project (September 2005). "Personality profiles of cultures: aggregate personality traits". Journal of Personality and Social Psychology. 89 (3): 407–25. doi:10.1037/0022-35220.127.116.117. PMID 16248722.
- Szirmak, Z.; De Raad, B. (1994). "Taxonomy and structure of Hungarian personality traits". European Journal of Personality. 8 (2): 95–117. doi:10.1002/per.2410080203.
- De Fruyt, F.; McCrae, R. R.; Szirmák, Z.; Nagy, J. (2004). "The Five-Factor personality inventory as a measure of the Five-Factor Model: Belgian, American, and Hungarian comparisons with the NEO-PI-R". Assessment. 11 (3): 207–215. doi:10.1177/1073191104265800. PMID 15358876.
- Widiger TA, Costa PT. Jr. Five-Factor model personality disorder research. In: Costa Paul T Jr, Widiger Thomas A., editors. Personality disorders and the five-factor model of personality. 2nd. Washington, DC, US: American Psychological Association; 2002. pp. 59–87. 2002.
- Mullins-Sweatt SN, Widiger TA. The five-factor model of personality disorder: A translation across science and practice. In: Krueger R, Tackett J, editors. Personality and psychopathology: Building bridges. New York: Guilford; 2006. pp. 39–70.
- Clark, LA (2007). "Assessment and diagnosis of personality disorder: Perennial issues and an emerging reconceptualization". Annual Review of Psychology. 58: 227–257 . doi:10.1146/annurev.psych.57.102904.190200.
- Trofimova, IN; Robbins, TW (2016). "Temperament and arousal systems: a new synthesis of differential psychology and functional neurochemistry". Neuroscience and Biobehavioral Reviews. 64: 382–402. doi:10.1016/j.neubiorev.2016.03.008.
- Trofimova, I.N.; Sulis, W (2016). "Benefits of distinguishing between physical and social-verbal aspects of behaviour: an example of generalized anxiety". Frontiers in Psychology. 7: 338. doi:10.3389/fpsyg.2016.00338.
- Trofimova, I.; Christiansen, J. (2016). "Coupling of temperament traits with mental illness in four age groups". Psychological Reports. 118: 2. doi:10.1177/0033294116639430.
- Depue, R. & Fu, Y. (2012) Neurobiology and neurochemistry of temperament in adults. In: Zentner, M. & Shiner, R. (Eds.) Handbook of Temperament. NY: Guilford Publications, 368-399. (2012).
- R. Michael Bagby, Martin Sellbom, Paul T. Costa Jr., and Thomas A. Widiger was published in Personality and Mental Health, Volume 2, Issue 2, pages 55–69, April 2008
- The five-factor model and personality disorder empirical literature: A meta-analytic review. LM Saulsman, AC Page - Clinical Psychology Review, 2004 - Elsevier Science
- Fehrman, E., Muhammad, A.K., Mirkes, E.M., Egan, V., Gorban, A.N. The Five Factor Model of personality and evaluation of drug consumption risk, arXiv:1506.06297 [stat.AP], 2015
- Kessler, R.; Chiu, W.; Demler, O.; Merikangas, K.; Walters, E. (2005). "Prevalence, severity, and comorbidity of 12-month DSM-IV disorders in the National Comorbidity Survey Replication". Archives of General Psychiatry. 62: 617–627. doi:10.1001/archpsyc.62.6.617. PMC . PMID 15939839.
- Compton, W.; Conway, K.; Stinson, F.; Colliver, J.; Grant, B. (2005). "Prevalence, correlates, and comorbidity of DSM-IV antisocial personality syndromes and alcohol and specific drug use disorders in the United States: Results from the national epidemiologic survey on alcohol and related conditions". Journal of Clinical Psychiatry. 66 (6): 677–685. doi:10.4088/jcp.v66n0602. PMID 15960559.
- Hasin, D.; Goodwin, R.; Stinson, F.; Grant, B. (2005). "Epidemiology of major depressive disorder: results from the National Epidemiologic Survey on Alcoholism and Related Conditions". Archives of General Psychiatry. 62: 1097–1106. doi:10.1001/archpsyc.62.10.1097. PMID 16203955.
- Khan, A.; Jacobson, K.; Gardner, C.; Prescott, C.; Kendler, K. (2005). "Personality and comorbidity of common psychiatric disorders". British Journal of Psychiatry. 186 (3): 190–196. doi:10.1192/bjp.186.3.190. PMID 15738498.
- Cuijpers, P.; Smit, F.; Pennix, B.; de Graaf, R.; Have, M.; Beekman, A. (2010). "Economic costs of neuroticism". Archives of General Psychiatry. 67: 1086–1093. doi:10.1001/archgenpsychiatry.2010.130. PMID 20921124.
- Kotov, R., Gamez, W., Schmidt, F., & Watson, D. (2010). "Linking "big" personality traits to anxiety, depressive, and substance use disorders: a meta-analysis". Psychological Bulletin. 136 (5): 768–821. doi:10.1037/a0020327. PMID 20804236.
- Bogg, T.; Roberts, B. (2004). "Conscientiousness and health-related behaviors: a meta-analysis of the leading behavioral contributors to mortality.". Psychological Bulletin. 130: 887–919. doi:10.1037/0033-2909.130.6.887.
- Roberts, B., Kuncel, N., Shiner, R., Caspi, A., & Goldberg, L. (2007). "The power of personality: The comparative validity of personality traits, socioeconomic status, and cognitive ability for predicting important life outcomes" (PDF). Perspectives on Psychological Science. 2 (4): 313–345. doi:10.1111/j.1745-6916.2007.00047.x.
- Jeronimus B.F.; Kotov, R.; Riese, H.; Ormel, J. (2016). "Neuroticism's prospective association with mental disorders halves after adjustment for baseline symptoms and psychiatric history, but the adjusted association hardly decays with time: a meta-analysis on 59 longitudinal/prospective studies with 443 313 participants". Psychological Medicine. 8 (15): 1–24. doi:10.1017/S0033291716001653. PMID 27523506.
- Livesley, W. (2001). Handbook of Personality Disorders. pp. 84–104.
- Ormel, J., Jeronimus, B., Kotov, R., Riese, H., Bos, E., Hankin, B., Rosmalen, J., & Oldehinkel, A. (2013). "Neuroticism and common mental disorders: Meaning and utility of a complex relationship". Clinical Psychological Review. 33 (5): 686–697. doi:10.1016/j.cpr.2013.04.003. PMC . PMID 23702592.
- Millon, T.; Krueger, R.; Simonsen, E. (2011). Contemporary Directions in Psychopathology: Scientific Foundations of the DSM-IV and ICD-11. Guilford Press.
- Krueger, R.; Tackett, L (2006). Personality and Psychopathology. Guilford Press.
- De Bolle, M., Beyers, W., De Clercq, B., & De Fruyt, F. (2012). "General personality and psychopathology in referred and nonreferred children and adolescents: An investigation of continuity, pathoplasty, and complication models". Journal of Abnormal Psychology. 121 (4): 958–970. doi:10.1037/a0027742. PMID 22448741.
- Iwasa Hijime; Masui, Gondo, Inagaki, Kawaai, Suzuki (December 2007). "Personality and All-Cause Mortality Among Older Adults Dwelling in a Japanese Community: A Five-Year Population Based Prospective Study". American Association for Geriatric Psychiatry. 16 (5): 399–405. doi:10.1097/JGP.0b013e3181662ac9. PMID 18403571.
- Komarraju, Meera; Steven J. Karau; Ronald R. Schmeck; Alen Avdic (September 2011). "The Big Five personality traits, learning styles, and academic achievement". The Big Five personality traits, learning styles, and academic achievement.
- Zeidner, Moshe; Shani-Zinovich (11 Oct 2011). "Do academically gifted and nongifted students differ on the Big-Five and adaptive status? Some recent data and conclusions". Personality and Individual Differences. 51 (5): 566–570. doi:10.1016/j.paid.2011.05.007. Retrieved 26 March 2012.1
- Komarraju, Meera; Karau, Schmeck, Avdic (2 June 2011). "The Big Five personality traits, learning styles, and academic achievement.". Personality and Individual Differences. 51 (4): 472–477. doi:10.1016/j.paid.2011.04.019. Retrieved 6 April 2012.
- Singh, A. K. (2012). "Does trait predict psychological well-being among students of professional courses?.". Journal of the Indian Academy of Applied Psychology. 38 (2): 234–241.
- Klimstra, T. (2012). "Personality traits and educational identity formation in late adolescents: Longitudinal associations and academic progress". Journal of Youth and Adolescence. 41: 341–356.
- Komarraju, Meera; Steven J. Karau; Ronald R. Schmeck; Alen Avdic (2 June 2011). "The Big Five Personality traits, learning styles, and academic achievement". Personality and Individual Differences. 51: 472–477. doi:10.1016/j.paid.2011.04.019.
- Zhang, Li-fang (6 September 2001). "Measuring thinking styles in addition to measuring personality traits?". Personality and Individual Differences. 33: 445–458. doi:10.1016/s0191-8869(01)00166-0.
- Komarraju, Meera (2 June 2011). "The Big Five personality traits, learning styles, and academic achievement". Personality and Individual Differences. 51: 472–477. doi:10.1016/j.paid.2011.04.019.
- Komarraju, M.; Karau, S. J.; Schmeck, R. R.; Avdic, A. (2011). "The big five personality traits, learning styles, and academic achievement". Personality and Individual Differences. 51 (4): 472–477. doi:10.1016/j.paid.2011.04.019.
- Klimstra, Theo A.; Luyckx, Koen; Germeijs, Veerle; Meeus, Wim H. J.; Goossens, Luc (March 2012). "Personality Traits and Educational Identity Formation in Late Adolescents: Longitudinal Associations and Academic Progress". Journal of Youth and Adolescence. 41 (3): 346–61. doi:10.1007/s10964-011-9734-7. PMID 22147120.
- De Feyter, Tim; Ralf Caers; Claudia Vigna; Dries Berings (22 March 2012). "Unraveling the impact of the Big Five personality traits on academic performance: The moderating and mediating effects of self-efficacy and academic motivation". Learning and Individual Differences. 22: 439–448. doi:10.1016/j.lindif.2012.03.013.
- Pashler, Harold; McDaniel, Mark; Rohrer, Doug; Bjork, Robert (December 2008). "Learning Styles: Concepts and Evidence". Psychological Science in the Public Interest. 9 (3): 105–19. doi:10.1111/j.1539-6053.2009.01038.x.
- Mount, M. K.; Barrick, M. R. (1998). "Five reasons why the "big five" article has been frequently cited". Personnel Psychology. 51 (4): 849–857. doi:10.1111/j.1744-6570.1998.tb00743.x.
- Morgeson, F. P.; Campion, M. A.; Dipboye, R. L.; Hollenbeck, J. R.; Murphy, K.; Schmitt, N. (2007). "Reconsidering the use of personality tests in personnel selection contexts". Personnel Psychology. 60: 683–729. doi:10.1111/j.1744-6570.2007.00089.x.
- Mischel, Walter. Personality and Assessment, London, Wiley, 1968
- Rosenthal, R. (1990). "How are we doing in soft psychology?". American Psychologist. 45: 775–777. doi:10.1037/0003-066x.45.6.775.
- Hunter, J. E.; Schmidt, F. L.; Judiesch, M. K. (1990). "Individual differences in output variability as a function of job complexity". Journal of Applied Psychology. 75: 28–42. doi:10.1037/0021-9010.75.1.28.
- Fairweather, J. (2012). "Personality, nations, and innovation: Relationships between personality traits and national innovation scores". Cross-Cultural Research: The Journal of Comparative Social Science. 46: 3–30.
- Executive Coaching and Leadership Consulting. (n.d.). Working Resources. Retrieved April 7, 2011, from http://www.workingresources.com/nss-folder/pdffolder/LeadershipPersonality.pdf
- Mehta, Penkak (2012). "Personality as a predictor of burnout among managers of manufacturing industries..". Journal of the Indian Academy of Applied Psychology. 32: 321–328.
- Judge, T.; Livingston, BA; Hurst, C (2012). "Do nice guys—and gals—really finish last? The joint effects of sex and agreeableness on income". Journal of Personality and Social Psychology. 102 (2): 390–407. doi:10.1037/a0026021. PMID 22121889.
- Spurk, Daniel; Abele (16 June 2010). "Who Earns More and Why? A Multiple Mediation Model from Personality to Salary". Journal of Business Psychology. 26: 87–103. doi:10.1007/s10869-010-9184-3. Retrieved 6 April 2012.
- Neal, Andrew; Yeo, Koy, Xiao (26 January 2011). "Predicting the Form and Direction of Work Role Performance From the Big 5 Model of Personality Traits". Journal of Organizational Behavior. 33: 175–192. doi:10.1002/job.742. Retrieved 12 April 2012.
- Holland, Ashley; Roisman (October 2008). "Big five personality traits and relationship quality: Self-reported, observational, and physiological evidence" (PDF). Journal of Social and Personal Relationships. 25 (5): 811–829. doi:10.1177/0265407508096697. Retrieved 12 April 2012.
- Roberts, p. 338
- http://ipip.ori.org/ipip/[full citation needed]
- Gosling, Samuel D; Rentfrow, Peter J; Swann, William B (2003). "A very brief measure of the Big-Five personality domains". Journal of Research in Personality. 37 (6): 504–528. doi:10.1016/S0092-6566(03)00046-1. ISSN 0092-6566.
- Goldberg, L. R. (1992). "The development of markers for the Big-five factor structure". Psychological Assessment. 4 (1): 26–42. doi:10.1037/1040-3518.104.22.168.
- Donaldson, Stewart I.; Grant-Vallone, Elisa J. (2002). "Understanding self-report bias in organizational behavior research". Journal of Business and Psychology. 17 (2): 245–260. doi:10.1023/A:1019637632584. JSTOR 25092818.
- Hirsh, Jacob B.; Peterson, Jordan B. (October 2008). "Predicting creativity and academic success with a 'Fake-Proof' measure of the Big Five". Journal of Research in Personality. 42 (5): 1323–33. doi:10.1016/j.jrp.2008.04.006.
- Gosling, Samuel D; Rentfrow, Peter J; Swann, William B (2003). "A very brief measure of the Big-Five personality domains". Journal of Research in Personality. 37 (6): 504–28. doi:10.1016/S0092-6566(03)00046-1.
- Harms, P. (2012). "An evaluation of the consequences of using short measures of the Big Five personality traits". Journal of Personality and Social Psychology. 102: 874–888. doi:10.1037/a0027403.
- Goldberg, L. R. (1990). "An alternative "description of personality": The big-five factor structure". Journal of Personality and Social Psychology. 59 (6): 1216–1229. doi:10.1037/0022-3522.214.171.1246. PMID 2283588.
- http://www.personality-and-aptitude-career-tests.com/big-five-personality-tests.html[full citation needed]
- Schwartz, H. Andrew; Eichstaedt, Johannes C.; Kern, Margaret L.; Dziurzynski, Lukasz; Ramones, Stephanie M.; Agrawal, Megha; Shah, Achal; Kosinski, Michal; Stillwell, David; Seligman, Martin E. P.; Ungar, Lyle H. (2013). "Personality, gender, and age in the language of social media: the open-vocabulary approach". PLOS ONE. 8 (9): e73791. doi:10.1371/journal.pone.0073791. PMC . PMID 24086296.
- Block, J (1995a). "A contrarian view of the five-factor approach to personality description". Psychological Bulletin. 117 (2): 187–215. doi:10.1037/0033-2909.117.2.187.
- Eysenck, H. J. (1991). "Dimensions of personality: 16, 5, 3?". Personality and Individual Differences. 12: 773–790. doi:10.1016/0191-8869(91)90144-z.
- Eysenck, H. J. (1992). "Four ways five factors are not basic". Personality and Individual Differences. 13: 667–673. doi:10.1016/0191-8869(92)90237-j.
- Cattell, R. B. (1995). The fallacy of five factors in the personality sphere. The Psychologist, May, 207-208.
- Trofimova, IN (2014). "Observer bias: an interaction of temperament traits with biases in the semantic perception of lexical material.". PLoS ONE. 9 (1): e85677. doi:10.1371/journal.pone.0085677.
- Costa, P. T.; McCrae, R. R. (1995). "Solid ground in the wetlands of personality: A reply to Block". Psychological Bulletin. 117 (2): 216–220. doi:10.1037/0033-2909.117.2.216.
- Block, J (1995b). "Going beyond the five factors given: Rejoinder to Costa and McCrae and Goldberg and Saucier". Psychological Bulletin. 117: 226–229. doi:10.1037/0033-2909.117.2.226.
- Block, J (2001). "Millennial contrarianism". Journal of Research in Personality. 35: 98–107. doi:10.1006/jrpe.2000.2293.
- Block, J (2010). "The Five-Factor framing of personality and beyond: Some ruminations". Psychological Inquiry. 21: 2–25. doi:10.1080/10478401003596626.
- Boyle, G. J. (2008). Critique of Five-Factor Model (FFM). In G. J. Boyle, G. Matthews, & D. H. Saklofske. (Eds.), The SAGE Handbook of Personality Theory and Assessment: Vol. 1 - Personality Theories and Models. Los Angeles, CA: Sage. ISBN 9-781412-946513
- Cattell, R. B.; Boyle, G. J.; Chant, D. (2002). "The enriched behavioral prediction equation and its impact on structured learning and the dynamic calculus". Psychological Review. 109: 202–205. doi:10.1037/0033-295x.109.1.202.
- Schacter, Gilbert, Wegner (2011). Psychology (2nd ed.). Worth. pp. 474–475.
- Piekkola, B (2011). "Traits across cultures: A neo-Allportian perspective". Journal of Theoretical and Philosophical Psychology. 31: 2–24. doi:10.1037/a0022478.
- Paunonen, Sampo V; Jackson, Douglas N (2000). "What Is Beyond the Big Five? Plenty!" (PDF). Journal of Personality. 68 (October 2000): 821–835. doi:10.1111/1467-6494.00117.
- Paunonen, S.V.; Haddock, G.; Forsterling, F.; Keinonen, M. (2003). "Broad versus Narrow Personality Measures and the Prediction of Behaviour Across Cultures". European Journal of Personality. 17: 413–433. doi:10.1002/per.496.
- McAdams, D. P. (1995). "What do we know when we know a person?". Journal of Personality. 63 (3): 365–396. doi:10.1111/j.1467-6494.1995.tb00500.x.
- Musek, Janet (2007). "A general factor of personality: Evidence for the Big One in the five-factor model". Journal of Research in Personality. 41: 1213–1233. doi:10.1016/j.jrp.2007.02.003.
- van der Linden, Dimitri; te Nijenhuis, J.; Bakker, A.B. (2010). "The General Factor of Personality: A meta-analysis of Big Five intercorrelations and a criterion-related validity study" (PDF). Journal of Research in Personality. 44: 315–327. doi:10.1016/j.jrp.2010.03.003.
- Hans J. Eysenck (1992). "Four ways five factors are not basic" (PDF). Personality and Individual Differences. 13 (8): 667–673. doi:10.1016/0191-8869(92)90237-j.
- Paul T. Costa; Robert R. McRae (1992). "Reply to Eysenck". Personality and Individual Differences. 13 (8): 861–865. doi:10.1016/0191-8869(92)90002-7.
- Block, Jack (2010). "The five-factor framing of personality and beyond: Some ruminations". Psychological Inquiry. 21 (1): 2–25. doi:10.1080/10478401003596626.
- International Personality Item Pool, public domain list of items keyed to the big five personality traits.
- Selection from the "Handbook of personality: Theory and research" for researchers
- on YouTube
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- Regional Personality Differences in Great Britain