I&G- Week 3- Traits Flashcards
What are Jung’s 4 functions of how people know themselves & the world?
Sensing (≈perception)
Thinking (≈ logic)
Intuiting (≈via UCs)
Feeling (≈evaluation/judgement)
What are Jungs Types?
More introverted- Dominant concern with internal objects of knowledge, i.e., the self
More extraverted- Dominant concern with external objects of knowledge, i.e., the world
Both ‘types’ use (all) four functions
How did Myers & Briggs modify & extend Jungs ideas?
Paired and contrasted Sensation ‘vs’ Intuition and Thinking ‘vs’ Feeling.
Added Judging vs Perception.
Mixed in Introversion ‘vs’ Extraversion
Categorised people according to ‘which side’ dominated for each of these ‘alternatives’
What was the Myers & Briggs Type indicator?
People- identified as having one of 16 personality types.
Goal of MBTI- allow respondents to further explore and understand their own personalities including their likes, dislikes, strengths, weaknesses, possible career preferences, and compatibility with other people.
The Myers & Briggs Type indicator is made up of what four scales?
Extroversion- Introversion
Sensing- Intuition
Thinking- Feeling
Judging- Perceiving
What was wrong with the Myers & Briggs Type Indicator?
Not reliable
Test-retest reliability shocking
Not valid
No evidence of 16 types
The types predict little
Not comprehensive
Missing, e.g., emotional stability, conscientiousness
Not independent
Easy to be high in ‘opposite’ functions, e.g., thinking and feeling
What are traits?
Dimensions of personality on which individuals vary.
E.g., Everyone is introvert and extrovert to some extent, likely to differ across situations, but nevertheless differ on balance (i.e., averaging across time and situations) relative to other individuals
What are the main features of traits?
Personal (‘internal’) rather than situational (‘external’)
Stable rather than transitory (across time)
Consistent rather than inconsistent (across ‘similar’ situations)
Can be relatively broad or narrow (across ‘different’ situations)
Potentially universal dimensions: Individual differences (across people)
What is the Lexical Hypothesis?
“All aspects of human personality which are or have been of importance, interest, or utility have already become recorded in the substance of language” (p. 483)
What did Allport & Odbert 1936 do?
They got Websters 1925- “New International Dictionary”- had around 400,000 words & tried to find descriptive words for individuals.
They found around 18,000 words- then tried to find words with synonyms & differentiate traits (internal characteristics- long term)- & differentiate it from personality descriptors that didn’t have those characteristics (e.g. mood states) - which aren’t “real traits).
They found 4,504 words.
What are Allports non common traits?
Cardinal traits
Central traits
Secondary traits
Allports non common traits-
What are cardinal traits?
Single defining traits that (rarely) characterise some individuals. A bit like types!
They are rare- but strongly deterministic of behaviour.
They are dominant traits of a person- their behaviour may be known for these traits.
Allports non common traits-
What are central traits?
Central traits- make up a persons personality.
Everyone has typically 5-10 traits- they are present in varying degrees. “those usually mentioned in careful letters of recommendation … or in brief verbal descriptions of a person”
These include common traits such as intelligent, shy, honest. They are responsible for shaping most of our behavior.
Allports non common traits-
What are secondary traits?
Like central traits but more specific to particular stimuli or particular responses.
Could be certain circumstantially-determined characteristics- can be situational.
What is Factor Analysis?
The principal statistical method of most trait theorists
Data-reduction of literally thousands of possible individual difference/personality descriptors
Possible identification of key indicators of ‘human nature’
Methods- factor analysis
How does this work?
One method of finding patterns among lots of variables
Looks for clusters of measures that correlate strongly with each other but less so with other measures
Imagine scoring me out of 10 on each of the following: humour, fun, giggles, tidiness, order, and presentation
Scores for the first 3 would probably correlate with each other, and so would scores for the latter 3, but scores on the first 3 would probably correlate less with scores on the latter 3 (especially if you asked lots of people for scores)
Factor analysis
When are clusters of measures inevitable?
If the measures are almost identical & have been included.
Methods- findings unsurprising if “rigged”?
Replication’ of factors is weak support for the existence of ‘real’ entities if the ‘input’ data is specifically constrained in ways that increase the likelihood of those factors being ‘found’