Identifying Good Measurement

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These flashcards cover key concepts related to measurement and validity in research.

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22 Terms

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Construct

An abstract concept that we are trying to measure, such as love or intelligence.

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Operational Definition

A definition that specifies the procedures or operations used to measure a construct.

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Self-report Measure

A method of measurement where individuals report their own thoughts, feelings, or behaviors.

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Observational Measure

A method of measurement that involves observing behavior without self-reports.

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Physiological Measure

A method of measurement that assesses biological data, such as brain activity.

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Continuous Variables

Variables that can take on any value within a range.

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Categorical Variables

Variables that represent distinct groups or categories.

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Nominal Scale

A scale of measurement used for labeling variables without a quantitative value; examples include species names.

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Ordinal Scale

A scale of measurement that has ordered categories but no fixed interval between them; examples include rankings.

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Interval Scale

A scale of measurement that has equal intervals between values but no true zero; examples include temperature in Celsius.

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Ratio Scale

A scale of measurement similar to interval scales but with a meaningful zero point, allowing for ratios to be calculated.

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Reliability

The consistency of a measure over time, across different raters, or across items.

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Test-retest Reliability

The degree to which the same test yields consistent results over time.

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Interrater Reliability

The level of agreement among different raters scoring the same test.

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Internal Consistency

The extent to which different items on the same test measure the same concept.

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Validity

The extent to which a test measures what it claims to measure.

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Construct Validity

The degree to which a test accurately measures the theoretical construct it intends to measure.

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Content Validity

The extent to which test items represent the entire domain of the construct being measured.

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Concurrent Validity

The degree to which test results correlate with a pre-existing criterion measured at the same time.

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Predictive Validity

The extent to which a test can predict outcomes or performance in the future.

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Convergent Validity

When a test correlates well with other measures of the same construct.

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Discriminant Validity

When a test shows little correlation with measures of different constructs.