Agreeability
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Agreeability
Agreeableness is a personality trait manifesting itself in individual behavioral characteristics that are perceived as kind, sympathetic, cooperative, warm, and considerate. In contemporary personality psychology, agreeableness is one of the five major dimensions of personality structure, reflecting individual differences in cooperation and social harmony. People who score high on this dimension are empathetic and altruistic, while a low agreeableness score relates to selfish behavior (often manifesting as stinginess) and a lack of empathy. Those who score very low on agreeableness show signs of dark triad behavior such as manipulation and competing with others rather than cooperating. Agreeableness is considered to be a superordinate trait, meaning that it is a grouping of personality sub-traits that cluster together statistically. The lower-level traits, or facets, grouped under agreeableness are: trust, straightforwardness, altruism, compliance, modesty, and tender-minded ...
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Trait Theory
In psychology, trait theory (also called dispositional theory) is an approach to the study of human personality. Trait theorists are primarily interested in the measurement of ''traits'', which can be defined as habitual patterns of behaviour, thought, and emotion. According to this perspective, traits are aspects of personality that are relatively stable over time, differ across individuals (e.g. some people are outgoing whereas others are not), are relatively consistent over situations, and influence behaviour. Traits are in contrast to states, which are more transitory dispositions. In some theories and systems, traits are something a person either has or does not have, but in many others traits are dimensions such as extraversion vs. introversion, with each person rating somewhere along this spectrum. There are two approaches to define traits: as internal causal properties or as purely descriptive summaries. The internal causal definition states that traits influence our behav ...
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Gordon Allport
Gordon Willard Allport (November 11, 1897 – October 9, 1967) was an American psychologist. Allport was one of the first psychologists to focus on the study of the personality, and is often referred to as one of the founding figures of personality psychology. He contributed to the formation of values scales and rejected both a psychoanalytic approach to personality, which he thought often was too deeply interpretive, and a behavioral approach, which he thought did not provide deep enough interpretations from their data. Instead of these popular approaches, he developed an eclectic theory based on traits. He emphasized the uniqueness of each individual, and the importance of the present context, as opposed to history, for understanding the personality. Allport had a profound and lasting influence on the field of psychology, even though his work is cited much less often than that of other well-known figures. Part of his influence stemmed from his knack for exploring and broadly co ...
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Five Factor Model
The Big Five personality traits is a suggested taxonomy, or grouping, for personality traits, developed from the 1980s onward in psychological trait theory. Starting in the 1990s, the theory identified five factors by labels, for the US English speaking population, typically referred to as: * openness to experience (inventive/curious vs. consistent/cautious) *conscientiousness (efficient/organized vs. extravagant/careless) * extraversion (outgoing/energetic vs. solitary/reserved) * agreeableness (friendly/compassionate vs. critical/rational) * neuroticism (sensitive/nervous vs. resilient/confident) When factor analysis (a statistical technique) is applied to personality survey data, it reveals semantic associations: some words used to describe aspects of personality are often applied to the same person. For example, someone described as conscientious is more likely to be described as "always prepared" rather than "messy". These associations suggest five broad dimensions used in ...
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Revised NEO Personality Inventory
The Revised NEO Personality Inventory (NEO PI-R) is a personality inventory that assesses an individual on five dimensions of personality, the so-called Big Five personality traits. These traits are openness to experience, conscientiousness, extraversion, agreeableness, and neuroticism. In addition, the NEO PI-R also reports on six subcategories of each Big Five personality trait (called facets). Historically, development of the Revised NEO PI-R began in 1978 when Costa and McCrae published a personality inventory. The researchers later published three updated versions of their personality inventory in 1985, 1992, and 2005. These were called the NEO PI, NEO PI-R (or Revised NEO PI), and NEO PI-3, respectively. The revised inventories feature updated vocabulary that could be understood by adults of any education level, as well as children. The inventories have both longer and shorter versions, with the full NEO PI-R consisting of 240 items and providing detailed facet scores ...
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Openness To Experience
Openness to experience is one of the domains which are used to describe human personality in the Five Factor Model. Openness involves six facets, or dimensions: active imagination (fantasy), aesthetic sensitivity, attentiveness to inner feelings, preference for variety (adventurousness), intellectual curiosity, and challenging authority (psychological liberalism). A great deal of psychometric research has demonstrated that these facets or qualities are significantly correlated. Thus, openness can be viewed as a global personality trait consisting of a set of specific traits, habits, and tendencies that cluster together. Openness tends to be normally distributed with a small number of individuals scoring extremely high or low on the trait, and most people scoring moderately. People who score low on openness are considered to be ''closed to experience''. They tend to be conventional and traditional in their outlook and behavior. They prefer familiar routines to new experiences, and ...
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Extraversion
The traits of extraversion (also spelled extroversion Retrieved 2018-02-21.) and introversion are a central dimension in some human personality theories. The terms ''introversion'' and ''extraversion'' were introduced into psychology by Carl Jung,Jung, C. G. (1921) ''Psychologische Typen'', Rascher Verlag, Zurich – translation H.G. Baynes, 1923. although both the popular understanding and current psychological usage vary. Extraversion tends to be manifested in outgoing, talkative, energetic behavior, whereas introversion is manifested in more reflective and reserved behavior. Jung defined introversion as an "attitude-type characterised by orientation in life through subjective psychic contents", and extraversion as "an attitude-type characterised by concentration of interest on the external object". Extraversion and introversion are typically viewed as a single continuum, so to be higher in one necessitates being lower in the other. Jung provides a different perspective ...
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Neuroticism
In the study of psychology, neuroticism has been considered a fundamental personality trait. For example, in the Big Five approach to personality trait theory, individuals with high scores for neuroticism are more likely than average to be moody and to experience such feelings as anxiety, worry, fear, anger, frustration, envy, jealousy, guilt, depressed mood, and loneliness. Such people are thought to respond worse to stressors and are more likely to interpret ordinary situations, such as minor frustrations, as appearing hopelessly difficult. People with high scores on the neuroticism index are thought to be at risk of developing common mental disorders (mood disorders, anxiety disorders, and substance use disorders have been studied), and the sorts of symptoms traditionally referred to as "neuroses". Definition Neuroticism is a trait in many models within personality theory, but there is significant disagreement on its definition. It is sometimes defined as a tendency for quick ...
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Paul Costa Jr
Paul Costa Jr. is an American psychologist associated with the Five Factor Model. He earned his Ph.D. from the University of Chicago in 1970. Author of over 300 academic articles, several books, he is perhaps best known for the Revised NEO Personality Inventory, or NEO PI-R, a psychological personality inventory; a 240-item measure of the Five Factor Model: Extraversion, Agreeableness, Conscientiousness, Neuroticism, and Openness to Experience. Additionally, the test measures six subordinate dimensions (known as 'facets') of each of the "FFM" personality factors, developed together with Robert McCrae. Work on this model has made Costa one of the most cited living psychologists,Thomson Reuters Research Analytics, (2012)highlycited.com-psychology_psychiatry with an H index of over 135.Google Scholar, (2017)link Alongside this inventory, he and McCrae have argued that personality is stable, especially after age 30, that it is universal (present in the same structure across ethni ...
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Lewis Goldberg
Lewis R. Goldberg is an American personality psychologist and a professor emeritus at the University of Oregon. He is closely associated Goldberg, L.R. (1993). The structure of phenotypic personality traits. ''American Psychologist, 48'', 26-34. https://dx.doi.org/10.1037/0003-066X.48.1.26 with the lexical hypothesis that any culturally important personality characteristic will be represented in the language of that culture. This hypothesis led to a five factor structure of personality trait adjectives (which he dubbed the Big 5).Lewis R. Goldberg (1990) An alternative "description of personality": The Big-Five factor structure. Journal of Personality and Social Psychology, 59, 6, 1216-1229 https://dx.doi.org/10.1037/0022-3514.59.6.1216Revelle, W. (2008), Biography of Lewis R. Goldberg. In Encyclopedia of Counseling (F.T.L. Leong et al, editors) Sage. https://dx.doi.org/10.4135/9781412963978.n198 When applied to personality items this structure is also known as the five-fa ...
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Factor Analysis
Factor analysis is a statistical method used to describe variability among observed, correlated variables in terms of a potentially lower number of unobserved variables called factors. For example, it is possible that variations in six observed variables mainly reflect the variations in two unobserved (underlying) variables. Factor analysis searches for such joint variations in response to unobserved latent variables. The observed variables are modelled as linear combinations of the potential factors plus "error" terms, hence factor analysis can be thought of as a special case of errors-in-variables models. Simply put, the factor loading of a variable quantifies the extent to which the variable is related to a given factor. A common rationale behind factor analytic methods is that the information gained about the interdependencies between observed variables can be used later to reduce the set of variables in a dataset. Factor analysis is commonly used in psychometrics, persona ...
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16PF Questionnaire
The Sixteen Personality Factor Questionnaire (16PF) is a self-report personality test developed over several decades of empirical research by Raymond B. Cattell, Maurice Tatsuoka and Herbert Eber. The 16PF provides a measure of personality and can also be used by psychologists, and other mental health professionals, as a clinical instrument to help diagnose psychiatric disorders, and help with prognosis and therapy planning. The 16PF can also provide information relevant to the clinical and counseling process, such as an individual's capacity for insight, self-esteem, cognitive style, internalization of standards, openness to change, capacity for empathy, level of interpersonal trust, quality of attachments, interpersonal needs, attitude toward authority, reaction toward dynamics of power, frustration tolerance, and coping style. Thus, the 16PF instrument provides clinicians with a normal-range measurement of anxiety, adjustment, emotional stability and behavioral problems. Clinici ...
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Factor Analysis
Factor analysis is a statistical method used to describe variability among observed, correlated variables in terms of a potentially lower number of unobserved variables called factors. For example, it is possible that variations in six observed variables mainly reflect the variations in two unobserved (underlying) variables. Factor analysis searches for such joint variations in response to unobserved latent variables. The observed variables are modelled as linear combinations of the potential factors plus "error" terms, hence factor analysis can be thought of as a special case of errors-in-variables models. Simply put, the factor loading of a variable quantifies the extent to which the variable is related to a given factor. A common rationale behind factor analytic methods is that the information gained about the interdependencies between observed variables can be used later to reduce the set of variables in a dataset. Factor analysis is commonly used in psychometrics, persona ...
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