Psychometrics Flashcards

1
Q

Why be concerned with reliability and validity?

A
  • It reduces the chance of error
  • It strengthens the value of findings
  • It makes interpretation of data more sound
  • It makes applicability of tool more valuable
  • It may influence the lives of people
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2
Q

Reliability

A
  • consistency of a measure

- measure must be stable across time and circumstance

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3
Q

Test-retest Reliability

A

consistency over time

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4
Q

Internal Consistency

A

consistency of responses across the items on a multiple-item measure

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5
Q

Inter-rater Reliability

A

consistency between different observers in their judgments

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6
Q

Split-half Correlation

A
  • This involves splitting the items into two sets, such as the first and second halves of the items or the even- and odd-numbered items.
  • Then a score is computed for each set of items, and the relationship between the two sets of scores is examined.
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7
Q

Crombach’s α

A

The mean of all possible split-half correlations for a set of items.

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8
Q

Validity

A

whether a given measure accurately measures what it purports to measure

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9
Q

Face Validity

A
  • The extent to which a measurement method appears “on its face” to measure the construct
  • very weak kind of evidence
  • based on people’s intuitions about human behaviour
  • intuition is often wrong
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10
Q

Content Validity

A

The extent to which a measure “covers” the construct of interest
- assessed qualitatively against conceptual definition of the construct

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11
Q

Construct Validity

A

Involves an empirical and rational examination of how well a measure or instrument reflects some theoretical construct or explanation of behavior
- “why” a test is valid

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12
Q

Criterion Validity

A

The extent to which people’s scores on a measure are correlated with other variables (known as criteria) that one would expect them to be correlated with
- A criterion can be any variable that one has reason to think should be correlated with the construct being measured, and there will usually be many of them

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13
Q

Concurrent Validity

A

When the criterion is measured at the same time as the construct

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14
Q

Predictive Validity

A

When the criterion is measured at some point in the future (after the construct has been measured)
- The predictive validity of the first test is tied to a criterion validity of the second test

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15
Q

Convergent Validity

A

Other measures of the same construct.

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16
Q

Discriminant Validity

A

The extent to which scores on a measure are not correlated with measures of variables that are conceptually distinct.

17
Q

Ecological Validity

A

Driven by “common sense”; a measure that can meet reasonable expectations of a given tool.

18
Q

Utility

A
  • Is the data precise and reliable, at the lowest possible cost (Efficiency)?
  • Can the method be applied successfully to a wide range of phenomena (Generality)?