Psychometrics Flashcards
Why be concerned with reliability and validity?
- 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
Reliability
- consistency of a measure
- measure must be stable across time and circumstance
Test-retest Reliability
consistency over time
Internal Consistency
consistency of responses across the items on a multiple-item measure
Inter-rater Reliability
consistency between different observers in their judgments
Split-half Correlation
- 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.
Crombach’s α
The mean of all possible split-half correlations for a set of items.
Validity
whether a given measure accurately measures what it purports to measure
Face Validity
- 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
Content Validity
The extent to which a measure “covers” the construct of interest
- assessed qualitatively against conceptual definition of the construct
Construct Validity
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
Criterion Validity
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
Concurrent Validity
When the criterion is measured at the same time as the construct
Predictive Validity
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
Convergent Validity
Other measures of the same construct.