Personality Chapter 3

Page 1

What Is a Trait? Two Basic Formulations

• Traits as Internal Causal Properties: Traits are internal, hidden properties that cause behavior. Examples: a desire for material things, a need for stimulation, or a desire for power. These traits are assumed to be carried across situations and to be causal in explaining behavior. They may influence behavior without being directly expressed in every situation (e.g., a person may refrain from acting on a desire due to other constraints).

• Traits as Purely Descriptive Summaries: Traits are descriptive summaries of behavior; no assumptions about internality or causality. They describe patterns of behavior and are not inherently linked to causes. Causal explanations are developed later, if at all.

The Act Frequency Formulation of Traits—An Illustration of the Descriptive Summary Formulation

• The act frequency approach treats traits as categories of acts (e.g., dominance) and defines a trait by the frequency with which an individual performs acts in that category. A person who performs more dominant acts than peers is considered to be more dominant.

• Example: Mary would be considered dominant if she performs more dominant acts over a period than her peers (e.g., giving orders, organizing a group, controlling outcomes).

Act Frequency Research Program

• Three key elements:
  1) Act nomination: identify acts that belong to a trait category (e.g., for impulsivity: spur‑of‑the‑moment decisions, dangerous dares, etc.).
  2) Prototypicality judgment: determine which acts are most central to the trait (e.g., in “bird,” robins and sparrows are more prototypical than penguins or turkeys).
  3) Recording of act performance: obtain information on how people actually perform acts (self-reports, close‑other reports, or observational data).

• The act frequency approach has been used to study creativity, conscientiousness, impulsivity, and to explore cross-cultural manifestations of traits. It can also be applied to thoughts (e.g., frequency of suicidal ideation) as a predictor of outcomes.

Evaluation of the Act Frequency Formulation

• Criticisms include questions about how much context is needed to classify an act, how to handle covert or non-observable acts, and how to account for acts that are not enacted in everyday life.

• Despite limitations, the approach clarifies what trait terms refer to in behavior, helps identify behavioral regularities, and has been useful in linking traits to real-world outcomes (e.g., job success, salary, promotions).

Identification of the Most Important Traits

Three fundamental approaches to identify important traits:

1) Lexical Approach

• Based on natural language: all important differences are encoded in language. Trait terms (e.g., dominant, creative, reliable) arise because they are useful for describing and communicating about people.

• Two criteria:

  • Synonym frequency: more synonyms imply a more important or central trait dimension (e.g., dominance has many terms like dominant, bossy, assertive, powerful, etc.).

  • Cross-cultural universality: if many languages have terms for a trait, it is likely universally important.

• Example: Yanomamö terms unokai and non‑unokai reflect a culturally specific important trait (manhood by killing) not present as a universal trait in other cultures.

• Limitations: personality is encoded in multiple parts of speech (adjectives, nouns, adverbs), and nouns can reveal different facets of personality; thus the lexical approach remains a fertile starting point.

2) Statistical Approach

• Starts with a large pool of trait items (adjectives or sentences) and uses data reduction (e.g., factor analysis) to identify major dimensions that covary.

• Factor analysis groups items that tend to co‑vary, revealing underlying factors (dimensions).

• Table 3.2 (example): demonstrates how items load on factors such as Extraversion, Ambition, Creativity. Example loadings:

  • Humorous → Extraversion: 0.66

  • Amusing → Extraversion: 0.65

  • Popular → Extraversion: 0.57

  • Hard-working → Ambition: 0.63

  • Productive → Ambition: 0.52

  • Imaginative → Creativity: 0.62

  • Original → Creativity: 0.53

  • Inventive → Creativity: 0.47

• Important caveat: you get out of it what you put into it; the initial item pool influences the resulting factors. Factor analysis helps reduce many traits into a smaller, interpretable set of factors.

3) Theoretical Approach

• Begins with a theory that specifies which variables are important to measure. The theory determines the dimensions to study.

• Example: sociosexual orientation theory (Simpson & Gangestad, 1991; Penke & Asendorph, 2008a) posits two mating strategies—short-term, with high mating opportunities, and long-term, with high parental investment. Measurement of sociosexual orientation follows from theory (e.g., rating scales measuring desire for short-term vs. long-term mates).

• Strengths and weaknesses: theory-driven measures can efficiently target important constructs but may miss unanticipated dimensions; theories can be incomplete or biased.

Evaluating the Approaches for Identifying Important Traits

• The field often uses blends: lexical strategies to identify a universe of trait terms, followed by factor analysis to uncover structure; theoretical input to anchor or constrain the analysis; and then empirical testing.

Taxonomies of Personality

• Over the past century, dozens of taxonomies have been proposed. The goal is a comprehensive, empirically and theoretically justified taxonomy linking trait terms into a structured map of personality.

Eysenck’s Hierarchical Model of Personality

• Rooted in biology; three primary traits: Extraversion–Introversion (E), Neuroticism–Emotional Stability (N), and Psychoticism (P); together abbreviated as PEN.

• Hierarchical structure: each broad trait subsumes narrower traits, which in turn subsume habitual acts, then specific acts.

• Example: Extraversion subsumes sociable, lively, venturesome; Neuroticism subsumes anxious, guilty, moody; Psychoticism subsumes aggressive, impulsive, lacking empathy.

• Biological underpinnings: moderate heritability for E, N, P; proposed physiological correlates (e.g., arousal/reactivity for E; autonomic lability for N; testosterone and MAO relations for P).

• Limitations: other traits also show heritability; concerns that Eysenck may have missed important traits; however, PEN remains influential in many personality measures and tests.

Circumplex Taxonomies of Personality

• Circumplex models focus on a circular map of interpersonal traits, with two axes: Love (affiliation, e.g., warmth) and Status (dominance, e.g., power).

• Wiggins circumplex (1979) defines interpersonal traits along two primary dimensions: status (dominance) and love (nurturance). The circumplex has three key advantages:

  • Explicit definition of interpersonal behavior; any given transaction can be located in a sector of the circle.

  • Clear relationships between traits: adjacency (positive correlation between neighboring traits), bipolarity (opposites are negatively correlated), and orthogonality (traits at 90° apart are uncorrelated).

  • Guides research by highlighting neglected areas (e.g., unassuming vs. calculating).

• Limitations: only two dimensions; cannot capture all personality aspects (e.g., conscientiousness or openness have strong interpersonal components but lie outside the two dimensions).

Five-Factor Model (Big Five)

• The most influential taxonomy in recent decades; also called the Big Five or “High Five”: Surgency/Extraversion (E), Agreeableness (A), Conscientiousness (C), Emotional Stability (Neuroticism reversed, typically labeled N or Emotional Stability), and Openness to Experience (O).

• Origins: a blend of lexical and statistical approaches; initial lexical work by Allport & Odbert (1936) identified thousands of trait terms; Tupes & Christal (1961) found the five-factor structure; Norman (1963) and others replicated it across cultures and languages.

• Markers of the Big Five (Goldberg, 1990):

  • Extraversion: talkative vs. reserved, sociable vs. quiet, assertive vs. shy

  • Agreeableness: kind, cooperative vs. harsh, cynical

  • Conscientiousness: organized, reliable vs. careless, disorganized

  • Emotional Stability (Neuroticism reversed): calm, stable vs. anxious, moody

  • Openness/Intellect: creative, imaginative vs. uncreative, narrow

• Measures: single-word adjective scales (Goldberg) and sentence-based inventories (NEO-PI-3; McCrae, Costa & Martin).

• The Big Five is robust across cultures and languages and across item formats; strong cross-cultural replication, including many countries.

• Facets: Each global factor has facets that add nuance (e.g., Conscientiousness facets include competence, order, dutifulness, achievement striving, self-discipline, deliberation; Neuroticism facets include anxiety, angry hostility, depression, self-consciousness, impulsivity, vulnerability).

The HEXACO Model

• A six-factor model expanding the Big Five with an Honesty–Humility factor (H) in addition to Emotionality (E), Extraversion (X), Agreeableness (A), Conscientiousness (C), and Openness (O).

• Rationale: lexical studies across languages converge on six factors; Honesty–Humility captures traits like sincerity, fairness, modesty, and a propensity to exploit others (low H).

• Empirical findings: high H relates to cooperative behavior, sincere religiosity, and slow-life history strategies; low H relates to exploitative, deceitful behaviors, and higher likelihood of unethical actions.

• The HEXACO model provides broader coverage of the personality domain and is particularly informative across cultures; some evidence suggests Honesty–Humility is not fully captured by the Big Five.

SUMMARY AND EVALUATION

• Three fundamental issues for trait psychology:

  • How to conceptualize traits (internal causes vs. descriptive summaries).

  • How to identify the most important traits.

  • How to formulate a comprehensive taxonomy of traits.

• There are two basic conceptualizations of traits:

  • Internal causal properties that influence behavior.

  • Descriptive summaries of behavior; causes are explored separately.

• Three major approaches to identifying important traits:

  • Lexical approach: based on natural language; synonyms and cross-cultural universality as criteria.

  • Statistical approach: uses factor analysis to identify clusters of covarying traits.

  • Theoretical approach: uses existing theories to determine which traits are important.

• Theory and data-driven approaches are often blended in practice.

• Taxonomies: Eysenck’s PEN model; Circumplex (interpersonal traits); Five-Factor Model (Big Five); HEXACO (adds Honesty–Humility).

• The Big Five has strong empirical support and cross-cultural replication, but debates persist about content, naming, and whether more factors exist beyond the Big Five. Evidence supports a sixth factor, Honesty–Humility, in some lexical studies.

• Key terms: lexical approach, statistical approach, theoretical approach, synonym frequency, cross-cultural universality, factor analysis, factor loadings, five-factor model, circumplex, interpersonal traits, Eysenck’s PEN, HEXACO model.

Key Terms (selected from the chapter)

• Traits and Trait Taxonomies

• Lexical approach

• Statistical approach

• Theoretical approach

• Lexical hypothesis

• Synonym frequency

• Cross-cultural universality

• Factor analysis

• Factor loadings

• Five-factor model

• Extraversion

• Agreeableness

• Conscientiousness

• Emotional stability

• Openness to experience / Intellect

• Circumplex model

• Interpersonal traits

• Eysenck’s PEN model (Extraversion, Neuroticism, Psychoticism)

• HEXACO model (Honesty–Humility, Emotionality, Extraversion, Agreeableness, Conscientiousness, Openness)

• Sociosexual orientation

• Dark Triad (in the HEXACO context)

• Facets

Notes by Page (Selected Highlights)

• Page 2–3: The dispositional domain centers on stable traits like friendliness, generosity, and poise; three fundamental questions guide trait research.

• Page 5–7: Act frequency approach operationalizes traits as categories of acts; three steps: act nomination, prototypicality judgment, act performance recording; limitations include context sensitivity and unobserved acts.

• Page 9–11: Lexical approach yields synonym frequency and cross-cultural universality as criteria; statistical approach uses factor analysis to identify clusters; theoretical approach anchors trait selection in theory.

• Page 12–16: Eysenck’s PEN model emphasizes biological underpinnings; hierarchical structure links habitual acts to narrow traits and broad traits; neurobiological correlates proposed for E, N, and P.

• Page 16–18: Circumplex model (Wiggins) emphasizes two axes: Status (dominance) and Love (affection); three key relationships: adjacency, bipolarity, orthogonality; limitations include only two interpersonal dimensions.

• Page 19–21: Five-Factor Model with markers for each factor; Big Five consist of Extraversion, Agreeableness, Conscientiousness, Emotional Stability, and Openness to Experience; facet structure adds nuance.

• Page 22–23: Identity of the fifth factor is contested; cross-cultural data suggest variation ( openness vs intellect vs culture); ongoing cross-cultural validation; correlates of Extraversion and other traits described.

• Page 24–25: Life outcomes associated with Big Five combinations (e.g., GPA linked to Conscientiousness and Emotional Stability); emotional stability relates to health, relationships, and risk behaviors.

• Page 26–27: Combinations of Big Five traits predict complex outcomes (e.g., leadership, migration, sexual behavior, volunteering); some outcomes require interaction effects across traits.

• Page 28–29: Critiques of the Big Five as comprehensive; evidence for additional traits (Conventionality, Seductiveness, Manipulativeness, etc.); Paunonen’s 10 traits; HEXACO as a six-factor alternative; the Dark Triad discussed as an expansion beyond Big Five.

• Page 30: Summary: three approaches to trait identification; Eysenck, Circumplex, and Five-Factor models; the HEXACO model as a major advancement; ongoing development in trait taxonomy.

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