Ch. 2 Flashcards
Social Judgement Theory
What does it do?
How is it derived?
What does it not consider?
What types of decisions is it used for?
How accurate it is?
- Tries to ID the factors that people use when making a particular type of judgment and how much weight is attached to these
- Purely statistical approach (ideally linear regression), doesn’t describe cognitive processes by which ppl reach a judgment
- applies to judgments, particularly in professional settings that are made repeatedly……
- Models can be used to predict future cases………
- outperform human judges
What are actuarial models?
linear equations for specifying how the relevant cues should be combined/weighted to make a judgment
What info do we need to create linear models through linear regression?
a. outcomes are known and b. info about cues used is available
linear regression can be used to derive equations to determine how much impact each cue had
linear model equation
Ye=the outcome, criterion in the environment about which a judgment must be made…. X = the cues that are used to predict… b = weight of the factor with regards to outcome… e=error…..
predictive model
everything except e, can be used to predict future judgments (no known outcome)….
Goldberg rule
what’s it for?
what factors does it involve?
how accurate it is?
- linear model for distinguishing between psychosis and neurosis……
- involves adding scores from three scales on MMPI (Minnesota Multiphasic Personality Inventory) and then subtracting scores from two other scales….
- If less than 45 then diagnose neurosis…..
- outperforms human judges – in 861 cases, 70% predicted right vs. humans predicted 50-67% right
Bootstrap model
When is it used?
how accurate is it?
predictive model (Ys) minus the error term…
used when info about true state of affairs unknown…
can be used to implement a judge’s policy in a consistent manner…
improper linear model because it doesn’t optimally weigh the cues, but still more accurate than the judge that it was derived from……
Ecological validity
the predictive value of a cue
Lens model
derived from Brunswik’s work…. Assumes that we don’t perceive the world directly but rather through a ‘lens’ consisting of various items of information (cues)…. Research done with representative design
Representative design
research methodology in which we randomly sample stimuli from the environment or create a stimuli in which environmental properties are preserved….
Brunswik used it for lens model research…..
thought it was more generalizable (e.g. externally valid) than standard experiments
Clinical prediction
What is it?
How accurate is it/under what conditions?
unaided human judgment…
better than actuarial in a changing environment……
but in stable environment even access to additional info/interviews doesn’t help
Actuarial models
What does it assume?
What role do people play in creating actuarial models?
people are less accurate than actuarial models…..
yet people are necessary to choose the variables used in the model and to code them to have clear directional relationships…..
assume a stable environment
Why are humans worse?
Name some of the reasons (9).
People are…. 1. inconsistent
- rely on irrelevant info
- ID too many cases as exceptions/special cases
- wrong weight of cues with criteria
- ppl can have skewed samples
- fundamental attribution error
- delayed/inaccurate feedback
- influenced by recent experiences
- fatigue, boredom
fundamental attribution error
underestimating the influence of situational factors in other people’s behaviour
improper linear models
Why are they improper?
Name some examples
do not optimally weigh the cues (e.g. judges)…
bootstrap models, random linear models (each cue weighted randomly and differently), equal weighting models (each cue weighed approx.. the same)