Approaches to Personality II Flashcards
What is the lexical hypothesis?
All aspects of individual personality can be described from single words used in language
All aspects of individual personality can be described from single words used in language
This is known as…?
The lexical hypothesis
Describe Allport and Odbert’s (1936) study
List 3 points
- Drawing on Baumgarten’s work, they collected all personality terms from Webster’s Dictionary (555,000 terms originally)
- Selected all terms referring to behavioural differences = 18,000
- Removed terms relating to cognitive, physical or transient state = 4,500 (represent smaller number of distinct traits)
What are latent variables?
Variables that cannot be directly observed
Variables that cannot be directly observed
This is known as…?
Latent variables
Most psychological variables (individual differences)
a. cannot be directly observed
b. can be directly observed
a. cannot be directly observed
Most psychological variables (individual differences) cannot be directly observed
This is known as…?
Latent variables
Many physical variables(e.g. height, weight) can be directly observed and measured
This is known as…?
Observable variables
Individual differences are…?
a. Observable
b. Latent
b. Latent
How can we ‘observe’ individual differences (latent variables)?
By inferring/estimating them
e.g. on the basis of behaviour and self-reported experience
What are Psychometrics?
The scientific measurement of psychological variables
The scientific measurement of psychological variables
This is known as…?
Psychometrics
Extraversion is a…?
a. Latent variable
b. Observable variable
a. Latent variable
What 4 things is extraversion (latent variable) associated with?
- Talkative (enjoys talking to others)
- Sociable (enjoys socialising with people)
- Friendly (makes friends easily)
- Lively (are the life and soul of the party)
What are correlations used for?
Used to identify words that are similar enough in meaning to essentially be considered the same thing
Used to identify words that are similar enough in meaning to essentially be considered the same thing
This is known as…?
Correlations
The basis of ‘data reduction’ techniques
This is known as…?
Correlatins
Enable us to determine which terms are related to one another, and so represent a common ‘latent factor’
This is known as…?
Correlations
What do correlations enable us to determine?
Which terms are related to one another, and so represent a common ‘latent factor’
“I am a relaxed person & I am a carefree person”
Has a strong positive correlation between the two terms (r = .84)
What does this suggest?
It is highly likely that these 2 traits might belong to the same underlying factor (relaxed and carefree might be related to neuroticism, a common factor driving these responses to these 2 items)
simply = relaxed and carefree are related to a common latent factor of neuroticism
“I am a relaxed person & I am a anxious person”
Has a strong negative correlation between the two terms (r = -.78)
What does this suggest?
It is highly likely that these 2 traits might belong to the same underlying factor (relaxed and anxious might be related to neuroticism, a common factor driving these responses to these 2 items)
simply = relaxed and anxious are related to a common latent factor of neuroticism
“I am a relaxed person & I am a friendly person”
Has no correlation between the two terms (r = .06)
What does this suggest?
It is highly likely that these 2 traits do not belong to the same underlying factor (relaxed and friendly might not be related to neuroticism, a common factor driving these responses to these 2 items)
simply = relaxed and friendly are not related to a common latent factor of neuroticism
Why is conducting several correlations problematic to identify words that are similar enough in meaning to essentially be considered the same thing?
A little more difficult to work out which items belong together
Imagine if there were 4500 items: it is impossible to identify which items belong to each other just by looking at the correlations
Correlations can be problematic because it is a little more difficult to work out which items belong together
What is a solution for this?
Factor analysis
What is factor analysis?
List 3 points
- A ‘multivariate’ ‘data reduction’ technique
- Looks for the set of ‘latent variables’ (factors) that best account for the pattern of correlation within the dataset
- Involves multiple variables; aims to reduce these multiple variables to a smaller number of variables based on the degree to which these variables correlate to each other
A ‘multivariate’ ‘data reduction’ technique
This is known as…?
Factor analysis
Looks for the set of ‘latent variables’ (factors) that best account for the pattern of correlation within the dataset
This is known as…?
Factor analysis
Involves multiple variables; aims to reduce these multiple variables to a smaller number of variables based on the degree to which these variables correlate to each other
This is known as…?
Factor analysis
What does factor analysis look for?
The set of ‘latent variables’ (factors) that best account for the pattern of correlation within the dataset
What is the aim of factor analysis?
To reduce multiple variables to a smaller number of variables based on the degree to which these variables correlate to each other
How does factor analysis simplify correlations?
It reorganises the correlation matrix to simplify it
Reorganises the correlation matrix to simplify it
This is known as…?
Factor analysis
e.g. Data have been ‘reduced’ from 7 items to two underlying latent factors
This is an example of…?
Factor analysis
A statistical technique that uses patterns of correlations between several variables to identify a smaller number of underlying latent variables
This is known as…?
Factor analysis
Factor analysis is a statistical technique that uses ______ between several variables to identify a smaller number of underlying latent variables
Patterns of correlations
Factor analysis is a statistical technique that uses patterns of correlations between several variables to identify …?
A smaller number of underlying latent variables
What is the aim of factor analysis?
To identify independent factors where each item only loads strongly onto one factor and not others
Aims to identify independent factors where each item only loads strongly onto one factor and not others
This is known as…?
Factor analysis
What 3 things should researchers do when running factor analysis?
- Researcher must decide how many factors to extract
- Researcher names factors based on the items that load on it
- For independent factors, items should load strongly on only one factor (with low cross-loadings)
Define factor loadings
Correlations between score for each item and each of the two underlying factors
Correlations between score for each item and each of the two underlying factors
This is known as…?
Factor loadings
An item has high cross-loadings
What does this suggest about the 2 factors?
The 2 factors are not independent
An item has low cross-loadings
What does this suggest about the 2 factors?
The 2 factors are independent
Ideally, do we want items with low or high cross-loadings?
Low cross-loadings
Where each item loads strongly onto one factor but not on other factor
a. High cross-loadings
b. Low cross-loadings
b. Low cross-loadings
Where each item loads strongly onto both factors
a. High cross-loadings
b. Low cross-loadings
a. High cross-loadings
Define low cross-loadings
Where each item loads strongly onto one factor but not on other factor
Define high cross-loadings
Where each item loads strongly onto both factors
Who proposed the 16 Personality Factor Model?
Raymond Cattell (1905-1998)
What model did Raymond Cattell (1905-1998) propose?
16 Personality Factor Model
What did Cattell do to create the 16 Personality Factor Model?
List 7 things
- Made groups of synonyms
e.g. approachable, welcoming, friendly - Made pairs of antonyms
e.g. unapproachable, hostile, unfriendly - Selected exemplar from each
- Came up with 171 exemplars
- e.g. Friendly was selected as the best exemplar of all the words related to friendliness, hostility and approachability
100 people each rated one/two people on all 171 terms
- Examined correlations to identify 60 clusters
- Added a few more terms from the psychiatric literature
- Reduced to about 45 terms based on own judgement and guidance from the literature
What did Cattell’s 16 Personality Factor Model analyse?
A range of data relating to 45 ‘surface traits’
Cattell’s 16 Personality Factor Model analysed a range of data relating to 45 ‘surface traits’
How did they do this? (List 3 ways)
- Self ratings
- Other ratings
- Test performance
Cattell’s 16 Personality Factor Model analysed a range of data relating to 45 ‘surface traits’
How did they analyse the data to eventually identify 16 personality factors (source traits)?
List 3 ways
- Self ratings
- Other ratings
- Test performance
Source traits are known as…?
16 personality factors
16 personality factors are known as…?
Source traits
What do source traits explain?
Surface trait variability
What do source traits explain ?
Surface trait variability
What are the 2 features of Cattell’s 16 Personality Factors (PF) - 1946?
- Consists of scale, not categories
- Listed in order of importance/variance explained
- Consists of scale, not categories
- Listed in order of importance/variance explained
This is known as…?
Cattell’s 16 Personality Factors (PF) - 1946
True or False?
Factor A is less important than Factor G in Cattell’s 16 Personality Factors (PF) - 1946
False
Factor A is more important than Factor G in Cattell’s 16 Personality Factors (PF) - 1946
What are the 4 pros of Cattell’s 16 Personality Factors (PF)?
- Methodical, data-driven approach to theory development
- Promoted use of Factor analysis in personality research (PhD student of
Charles Spearman) - Revised 16PF questionnaires still used
- Formed the basis of subsequent ‘big 5’ models
What are the 5 cons of Cattell’s 16 Personality Factors (PF)?
- Subjectivity and arbitrariness in analysis
- Many failures to replicate 16-factor structure
- Sixteen – too many factors to work with
- Correlations between factors – not independent
- Better accounted for by fewer, independent factors?
- Analyses of same data: 5 independent ‘second-order’ factors of: Extraversion, Anxiety, Self-Control, Independence/Accommodation, & Openness
What is the alternative for Cattell’s 16 Personality Factors (PF)?
The big five model of personality