Composite measure
Composite measure in statistics and research design refer to composite measures of variables, i.e. measurements based on multiple data items.[1]
An example of a composite measure is an
IQ test
, which gives a single score based on a series of responses to various questions.
Three common composite measures include:
- ordinal scale;[1]
- scales - advanced indexes whose observations are further transformed (scaled) due to their logical or empirical relationships;[1]
- nominal scale.[1]
Indexes versus scales
Indexes are often referred to as scales, but in fact not all indexes are scales.[2]
Whereas indexes are usually created by aggregating scores assigned to individual
indicators of a variable, scales are more advanced, and their calculations may be more complex, using for example scaling procedures such as semantic differential.[4]
Composite measure validation
A good composite measure will ensure that the indicators are independent of one another.[5] It should also successfully predict other indicators of the variable.[5]
References
- ^ ISBN 1-133-04979-6.
- ISBN 1-133-04979-6.
- ISBN 1-133-04979-6.
- ^ ISBN 1-133-04979-6.
- ^ ISBN 1-133-04979-6.
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