Five Factor Models of Personality Flashcards

1
Q

what are the traits that make up personality according to the Five Factor Model (FFM) and big 5?

A
  1. Neuroticism
  2. Extraversion
  3. Openness
  4. Conscientiousness
  5. Agreeableness
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2
Q

what method does both FFM and Big 5 use?

A

Exploratory factor analysis (EFA) = Statistical approach to go from lots of individual item responses to shared dimensions based on shared variance
- Both FFM and Big Five scalesconverge on a five-factor structure
- Findings from these can then be used to create subscales foreach trait

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3
Q

what Domains does the 5 factor model have? (questionnaire items) Costa and McCrae

A

Neuroticism:
- Anxiety, anger, depression, self-consciousness, impulsivity, vulnerability
Extraversion:
- Warmth, gregariousness, assertiveness, activity, excitement seeking, positive emotions
Openness:
- Fantasy, Aesthetics, feelings, actions, ideas, values
Agreeableness:
- Trust, straightforwardness, altruism, compliance, modesty, tender-mindedness
Conscientiousness:
- Competence, order, dutifulness, achievement striving, self-discipline, deliberation

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4
Q

what Domains does the Big 5 have? (questionnaire items), Goldberg

A

Emotional stability:
- Calm, relaxed, stable, at ease, contented, unemotional, not envious
Extraversion:
- Extraverted, energetic, talkative, bold, active, assertive, adventurous
Intellect:
- Intelligent, analytical, reflective, curious, imaginative, creative,
Agreeableness:
- Warm, kind, cooperative, unselfish, agreeable, trustful, generous
Conscientiousness:
- Organized, responsible, conscientious, practical, thorough, hardworking, thrifty

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5
Q

what is factor loading?

A
  • the extent to which the items fit onto a latent factor
  • range from -1 to 1
  • all PGSI items load very highly onto a single fatcor
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6
Q

what are the structural differences between FFM and Big 5?

A
  • Trait hierarchy (FFM) or no hierarchy (Big 5)
  • Trait: Neuroticism
  • Facets: anxiety, anger, depression self-consciousness, impulsivity, vulnerability in FFM but no Big 5
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7
Q

what are the differences in measurement between the FFM and the Big 5?

A
  • FFM measured via
    questionnaire items to reflext the causal role in behaviour at the facet levels. 6 facets underlie each of the domains e.g. ‘I am easily frightened’
  • Big 5 measured via adjectives e.g. clam, agreeable etc.
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8
Q

what are the differences in empirical basis between the FFM and the Big 5?

A

Big 5
- takes a lexical approach
- natural language is used to identify personality traits
- bottom up, originates from Galton

FFM
- personality theory
- questionnaires designed to tap into behaviours
- influenced by Eysenck, Cattell, Jung
- But lack of sufficiently comprehensive model (McCrae & John, 1992)

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9
Q

what are the differences in causality between the FFM and the Big 5?

A

FFM
- traits cause behaviour

Big 5
- no formal causal statement. They just represent natural language

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10
Q

what are the differences in origins between the FFM and the Big 5?

A

FFM
- biology → genetic, neurology, evolution
- traits are derived from biological (neurological) process, that have a genetic basis and are stable over time and across cultures (human universal)

Big 5
- natural language
- evolved a rich corpus of adjectives we use to describe our own and others behaviour. Analysis of this should provide a description of the main domain personality

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11
Q

claim 1: Five Factors/Domain are present in both adjectives and questionnaire items - is there evidence to support this? i.e. is there cross cultural evidence

A
  • Consistently across studies adjectives load on to 5 domains and the FFM facets onto their target 5 domains
  • McCrae and Terracciano found universal features of personality traits from oberver’s perspective from 50 cultures
  • found that the facet is a marker of the domain. anxiety is a marker for Neuroticism but not any of the other FFM domains
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12
Q

FFM and Eysenck’s PEN model Costa & McCrae (1995)

A
  • Factor analysis of NEO-PI-R – an index of the FFM - and Eysenck’s P-E-N together
  • ## Eysenck’s psychoticism was better explained by C and A
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13
Q

evidence for biological genetics in the FFM model Loehlin et al (1998), Bouchard & McGue (2003), Weinschenk et al (2022)

A
  • Twin Studies used to estimate the degree of genetic and environmental influence on a trait
    E = .57 (G) .00 (S) & .44 (N)
    A = .51 (G) .00 (S) & .49 (N)
    C = .52 (G) .00 (S) & .48 (N)
    N = .58 (G) .00 (S) & .42 (N)
    O = .56 (G) .00 (S) & .44 (N)
  • Where G = genetic, S = shared environment and N, non-shared environment
  • no shared environment effect on personality tends to be genetics and non shared environment
  • Even recent studies using more elaborate designs, have found effect of S small, if not zero
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14
Q

what are genome-wide associations studies (GWAS)?

A
  • GWAS studies Examine the whole genome and look for associations with genes – exploratory analysis
  • need very large sample sizes (10-100 of thousands)
  • Multiple comparison rate is extremely high (millions and millions of t-tests)
  • Corrected p-value needs to be very small (to -log 10)
  • Any association found needs to be replicated and examined in targeted studies
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15
Q

evidence for molecular genetics: genome-wide associations studies (GWAS) as evidence of FFM having a genetic basis Terracciano et al (2010)

A
  • concluded a number of genetic mutations associated with variations in personality
  • N (SNAP25 – rs362584)
    Region linked to ADHD and psychiatric disorder
  • E (CHD13 & CHD23)
    (Calcuim dependent adhesion genes) – 13 – Heart and 23 = neuro-sensory
  • O (CNTNAP2 – re10251794)
    Linked to autism and complex schizophrenia phenotype
  • A (CLOCK– encode for circadian rhythms)
    A is linked to morningness
  • C (DYRK1A0)
    Linked to Alzheimers and Downs Syndrome
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16
Q

evidence for neurological basis of personality

A
  • While there is a genetic component to traits
  • Genes -> Brain -> Behaviour
  • Structural MRI: Show that traits are associated with brain regions associated with the behaviours linked to that trait
  • Functional MRI: Show that brain activity on a tasks varies as a function of a trait
17
Q

Structural MRI of the FFM, DeYoung et al (2010)

A
  • mapped personality traits to behaviours and tried to match them to a specific brain region
    e.g. neuroticism is associated with sensitivity to punishment and sensitivity to rewards and shown to be associated with the amygdala, mPFC and mid-cingulate
18
Q

does personality show stability over time? Srivastava et al. (2003)

A
  • both men and women show reliable changes in personality traits as they age
19
Q

does personality show stability over time? (Specht et al, 2011)

A
  • The four people A, B, C & D are assessed on a trait at 3 time points.
  • They all increase in score at each time point
  • However, at each time point they have the same relative rank, D is always higher
    than C, C higher than B and B higher than A → get systematic shifts but tend to stay relative compares to the population so even if have low agreeableness it will increase but still be low compared to others
  • Rank order: N = .73, E = .74, O = .72, A = .68, C = .64
20
Q

The WEIRD Problem (Gurven et al., 2013)

A
  • Western, Educated, Industrialized, Rich, Democratic (WEIRD) (Henrich et al., 2010).
  • All cross-cultural FFM work on WEIRD sample
  • If it true Universal we should see the FFM in preliterate, hunter-gather tribes
  • also gender biases this is especially evident in neuroimaging studies of personality, where samples are often based on male-only/female-only participants
21
Q

The Tsimane, Gurven et al (2013)

A
  • examined the FFM in the Tsimane are forager-horticulturalist in lowland Bolivia
  • Live in extended family clusters (villages of 30 to 500)
  • found no evidence of FFM, reliabilities are low, no stable factor structure and Big 5 Inventory
22
Q

does the big 5 have temporal stability, Deary (1996)

A
  • investigate if personality remained consistent over time even tho vocab and norms have changes
  • Re-analysed data from 1915 pre-Big 5 (no selection bias)
    1915 factors and items
  • Factor 1: Not Modest (AGREEABLENESS)
    “desire to impose his will on other people (as opposed to tolerance)”
  • Factor 2: EXTRAVERSION
    “degree of bodily activity in pursuit of pleasures (games, etc.)”
  • Factor 3: CONSCIENTIOUSNESS
    “conscientiousness (keenness of interest in the goodness and wickedness of actions)”
  • Factor 4: Being(AGREEABLENESS)
    “desire to be liked by his associates” – altruism, compliance
  • Factor 5: OPENNESS
    “originality of ideas”
  • Factor 6: NEUROTICISM
    “occasional liability to extreme depression”
23
Q

critiques of Big 5 and FFM ,Block (1995)

A
  • problems with using factor analysis to determine personality
  • Adjectives selected to fit the model
  • You get out of a factor analysis what you put in. If you select items or adjectives to reflect five factors, that is what you’ll see
  • Ones that don’t fit model removed
  • Items not loading onto factor does not equal unimportant.
24
Q

crtitique of facets and items in FFM/Big 5

A
  • many of the facets and items do not cleanly load onto a single factor
  • FFM/Big Five are based on exploratory factor analysis, where the factors are rotated to ensure five factors are separate (orthogonal)
25
Q

other critiques of FFM/Big 5

A
  • When these are tested with the researcher specifying which items belong onto certain factors in a confirmatory factor analysis, five factor models do not fit as well
26
Q

McCrae et al (1996) critique fo the FFM

A
  • McCrae et al (1996) argue CFA models too restrictive in specification, and items correlated due to self-report (self report bias not content related)
  • Studies using more powerful methods (e.g. Marsh et al, 2010) suggest this is because the factors are correlated
27
Q

Eysenck (1992) crtique of FFM/Big 5

A
  • some factors (Agreeableness & Consciensciousness in particular) better seen as facets of Neuroticism and Psychoticism .
  • Lack of biological mechanism behind Big Five.
28
Q

Digman (1997) criticism of Big 5

A
  • Big Five factors highly correlated.
  • Instead proposes two superfactors (alpha and beta)
  • Alpha = A, C, ES (reverse of N) - socialisation
  • Beta = E, O – personal expression/restriction
29
Q

Neural bases critique, Allen et al (2022)

A
  • Current neuroimaging studies are descriptive rather than mechanistic.
  • Exploratory in nature – no hypotheses
  • Non-specific results and overlapping correlations
  • No behavioural manipulations
  • Possible solutions: reliance on rich description, strong theories, large samples, and careful behavioural experimentation.
30
Q

Neural bases critique- Multiple comparisons (Bennett et al. (2009))

A

multiple comparison
- Subject: One mature Atlantic Salmon participated in the fMRI study. The salmon was not alive at the time of scanning.
- Task: The salmon was shown a series of photographs depicting human individuals in social situations with a specified emotional valence. The salmon was asked to determine what emotion the individual in the photo must have been experiencing.
- Results: Several active voxels were discovered in a cluster located within the salmon brain cavity obviously due to noise as salmon dead so no brain activity

  • have to account for individual differences and confounding facotors (movement, vascular response..)
  • multiple comparisons in brain-wide association studies