ch 2: personality assessment, measurement & research design

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Last updated 6:54 PM on 1/26/26
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24 Terms

1
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what is the structured self-report (S-data)?

responses are set…

  • dichotomos (i.e., forced-choice)

  • likert-ratings

2
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what is the unstructured self-report (S-data)?

responses are not set…

  • open-ended questions

3
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<p>what type of source of data is this?</p>

what type of source of data is this?

dichotomous response schemes

4
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<p>what type of source of data is this?</p>

what type of source of data is this?

likert rating

5
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what are the pros and cons of structured?

pros

  • standardization

  • use of stats

cons

  • limits in responses

  • possible limited accuracy

6
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what are the pros and cons of unstructured?

pros

  • detailed

  • no limits to responses

cons

  • may not be standardized

  • use of statistics may be limited — but research can be qualitative

7
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what are limitations of self-report data?

  • honesty in responses

  • not having self-knowledge/objectivity

8
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what are other s-data approaches?

  • event-sampling → ecological momentary assessment

  • self-report that occurs over time to assess variables that might change in ‘real-time‘

9
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what was the methods in Kranzler et al., 2017?

  • mobile tracker app, 2-weeks

    • intensity of thoughts about self-injury

    • occurences of self-injury

    • state-level emotions before and after engaging in self-injury

10
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what were the key findings in Kranzler et al., 2017?

  • increased negative emotions and decreased positive emotions predicted intensity of self-injury thoughts

  • increased negative emotions predicted engagment in self-injury

  • after self-injury, participants reported decreases in intense negative emotion and increases in relief

11
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what were the implications in Kranzler et al., 2017?

  • self-injury is driven by the need for emotion regulation (coping)

  • focusing on emotion regulation is likely critical in intervention

12
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what is observer (o-data)?

involved gathering data from other individuals (i.e., not the self)

  • pros: access to unique data and multiple informants

  • cons: objectively AND respondents may not be able to infer internal processes (e.g., feelings)

13
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where is o-data collected?

  • naturalistic setting → observations in a natural, real-life setting

  • artificial setting → observations that occur in settings created to resemble a real-life setting

14
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what are test (t-data)?

utilizes standardized testing situations to determine aspects of personality

  • mechanical recording

  • physiological data

  • projective tests

15
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what are the limitations to test data?

  • participants may ‘guess‘ the trait being assessed & create an impression

  • participants & researchers may view the testing situation differently

  • the influence of the researcher(s) on the participant(s)

16
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what is reliability?

whether data reflect the true level of what is being measured

  • consistency of measurement

17
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what are the types of reliability?

  • test-retest → scores of a measure correlate on repeated measures

  • internal consistency → items on 1 measure correlate with each other

  • inter-rater → rating of 1 observer correlates with those of another

18
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what are response sets (impacts reliability…)?

response tendency that is unrelated to item content

  • acquiescence

  • extreme responding

  • social desirability

19
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what is validity?

degree to which a test measures what it claims to measure

20
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what are the types of validity?

  • face → whether it appears to measure what it should

  • predictive (criterion) → whether the test predicts criteria it is supposed to

  • convergent → whether the test correlates with other, similar, tests

  • discriminant → refers to what the measure should not correlate with

  • construct → includes all types of validity — broader in scope

21
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what is generalizability?

whether a measure retains validity over different contexts/samples

22
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what are the research designs in personality?

  • experimental methods

  • correlational studies

  • case studies

23
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what are experimental methods

used to determine causality

  • two main requirements

    • independent variable is manipulated to affect the dependent variable

    • participants are equivalent (via random assignment)

24
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what are correlational studies?

used to understand if 2 (or more) variables share a relation

  • correlation coefficient

    • indicates direction & degree of relation

    • range: -1 to +1

  • limitation

    • directionality (no causation)

    • third variable