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17 Cards in this Set
- Front
- Back
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way to measure variables- questionnaires, interviews
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self-report measures
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way to measure variables- biological data, requires special equipment
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physiological measures
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no special order of levels within variable. ex: gender, ethnicity, political party
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nominal/categorical
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rank order of levels, not necessarily equal distant apart
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ordinal
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numbers are equally distant, no true zero. ex: IQ, temperature
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interval
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numbers are equally distant, true zero. ex: weight, income
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ratio
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type of reliability: consistent measure or score every time for the same person
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test-retest reliability
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type of reliability: Consistent measure or score for two independent raters/observers
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interrater reliability
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type of reliability: Consistent pattern of responses across multiple items (e.g., questions in a questionnaire)
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internal reliability
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two subjective types of validity
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face and content validity
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4 criterion-related validities
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Predictive validity
Concurrent validity Convergent validity Discriminant validity |
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measurement validity: Does it look like it would be a good measure of what it’s supposed to measure?
Weak way to determine construct validity |
face validity
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measurement validity: Does it capture all components or dimensions of the construct?
And are the elements within a measure relevant and representative of the construct? |
content validity
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measurement validity: Is the measure associated with a future measure that it should be related to?
Test now predicts criterion assessed later |
predictive validity
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measurement validity: Is the measure associated with a current measure that it should be related to?
Test now predicts criterion assessed at the same time |
concurrent validity
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measurement validity: The measure should correlate more strongly with other measures of the same construct
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convergent validity
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measurement validity: The measure should correlate less strongly with measures of other, distinct constructs
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divergent validity
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