This paper provides a review and critique of the
background data literature. As a life history measure,
the effective application of background data items is
based on a developmental strategy in which a pattern
of prior behavior and experiences is related to certain
forms of criterion performance. This principle provides
a framework for discussing the various issues involved
in generating an adequate pool of background
data items. The four principal methods for scaling
background data items are examined: rational scaling,
factorial scaling, empirical keying, and subgrouping.
The relative strengths and weaknesses of these four
techniques are considered along with current research
needs in each area. This review indicates that substantial
progress has been made in the development and
application of background data measures, but that alternatives
to the traditional empirical keying strategy
should receive more attention.
Mumford, Michael D & Owens, William A. (1987). Methodology review: Principles, procedures, and findings in the application of background data measures. Applied Psychological Measurement, 11, 1-31. doi:10.1177/014662168701100101
Mumford, Michael D.; Owens, William A..
Methodology review: Principles, procedures, and findings in the application of background data measures.
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