Five Factor Models of Personality Flashcards
what are the traits that make up personality according to the Five Factor Model (FFM) and big 5?
- Neuroticism
- Extraversion
- Openness
- Conscientiousness
- Agreeableness
what method does both FFM and Big 5 use?
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
what Domains does the 5 factor model have? (questionnaire items) Costa and McCrae
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
what Domains does the Big 5 have? (questionnaire items), Goldberg
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
what is factor loading?
- 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
what are the structural differences between FFM and Big 5?
- Trait hierarchy (FFM) or no hierarchy (Big 5)
- Trait: Neuroticism
- Facets: anxiety, anger, depression self-consciousness, impulsivity, vulnerability in FFM but no Big 5
what are the differences in measurement between the FFM and the Big 5?
- 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.
what are the differences in empirical basis between the FFM and the Big 5?
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)
what are the differences in causality between the FFM and the Big 5?
FFM
- traits cause behaviour
Big 5
- no formal causal statement. They just represent natural language
what are the differences in origins between the FFM and the Big 5?
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
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
- 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
FFM and Eysenck’s PEN model Costa & McCrae (1995)
- 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
evidence for biological genetics in the FFM model Loehlin et al (1998), Bouchard & McGue (2003), Weinschenk et al (2022)
- 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
what are genome-wide associations studies (GWAS)?
- 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
evidence for molecular genetics: genome-wide associations studies (GWAS) as evidence of FFM having a genetic basis Terracciano et al (2010)
- 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