16 - Objective Personality Testing Flashcards

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1
Q

Objective Testing

A
  • Stimulus is presented to a respondent who makes a constrained (close-ended) response
  • Cheap, fast, reliable
  • Subject is asked to guess what examiner is thinking

Ex: MMPI

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2
Q

Approaches to Developing Scales

A
  1. EXTERNAL APPROACH: empirical/data-driven, not on theory, based on external criterion
    • Selects items in relation to criterion, regardless of content
    • Pros: no knowledge needed, likely generalizable, poor face validity, some practical utility bc it’s related to criterion
    • Cons: low content validity, criterion can change, shrinkage may occur (less predictive in second group), time consuming
  2. DEDUCTIVE APPROACH: theory-driven, dependent on construct (deduce items from the construct)
    • Pros: fast, easy, short, content valid, face valid
    • Cons: if theory is wrong, scale is wrong; may have poor discriminant validity; face validity may cause fake good/bad
  3. INDUCTIVE APPROACH: data-driven based on internal criterion; scales are made from pre-existing internal associations between items
    • Theoretical knowledge is used to interpret findings
    • Groups items into subscales
    • FACTOR ANALYSIS
    • Pros: simple/homogenous constructs, data reduction for ease of analysis, purer method bc it relies on natural structure, data “speak for themselves:
    • Cons: may be difficulty to interpret if not simple, we make a lot of decisions (indeterminacy), FA is not straightforward, and SPSS is not pure

BEST APPROACH (HYBRID): write a large set of items based on theory (deductive approach), then pick items to keep based on criterion-related validity (external approach), and group items into subscales based on internal structure (INDUCTIVE APPROACH).

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3
Q

Factor Analysis

A

-Aims to identify the optimal latent structure (parsimonious) for a group of variables

  • REFLECTIVE LATENT VARIABLES
  • What is not common between variables is disregarded as errors
  • Best to have at least 4 ordered categories to perform FA
  • Does not always work
  • When it does work, downfall is in cross-validation with another sample (this never works)
  1. Confirmatory FA: examines how well a hypothesized model fits in comparison to others
  2. Exploratory FA: no a-priori hypothesis about structure, just identifies a model that balances accuracy and parsimony
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4
Q

Decisions to make in Factor Analysis

A
  1. Method of factor extraction: FA or PCA?
  2. If FA, what kind? Confirmatory or exploratory?
  3. How many factors to retain
  4. Whether and how to rotate factors
  5. Model selection and interpretation (linear composite)
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5
Q

Principal Component Analysis

A
  • Reduces data matrix to a small number of components that explain as much variance as possible
  • FORMATIVE MODEL
  • EIGENVECTORS = principal components; can be as many as there are variables in the model
  • Does not assume reflective latent construct
  • Always works
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6
Q

Retaining Factors after FA, PCA

A
  1. Kaiser-Guttman Criterion: factors with eigenvalues greater than 1
  2. Scree plot: “elbow” minus 1
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7
Q

Rotating Factors

A

-Goal: make them more interpretable and simple

  • ORTHOGONAL: if uncorrelated
  • OBLIQUE: if correlated
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8
Q

Flawed Nature of Self-Assessments

A
  1. Response bias: faking good/bad, social desirability
  2. Ambiguity of items
  3. Lack of insight (and omission errors)

Improvements:

  1. Use clear items that are behaviorally specific
  2. Provide frequent, timely feedback
  3. Self-testing (after a post-study delay)
  4. Review past performance
  5. Use peer assessment
  6. Target motivational basis of over-confidence
  7. Benchmark performance against others
  8. Introduce desirable difficulties to instruction (spread/slow learning to improve rates of retaining)
  9. Add in safety factors and buffer time
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9
Q

Optimizing vs Satisficing

A

Optimizing: giving their best possible answer (unbiased)

Steps:

  1. Interpret
  2. Retrieve
  3. Judge
  4. Respond

Satisficing: when pt is not motivated, so just gives a satisfactory response

 - Weak: go through all 4 steps with less diligence
 - Strong: skip steps 2 and 3; superficial 

Reasons: task difficulty, low respondent ability or motivation, when “no opinion” responses are an option

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