A generative approach to psychometric modeling
consists of encoding information about the
cognitive processes and structures that underlie test
performance into an item-generation algorithm in
such a way that the generated items have known
psychometric parameters. An important by-product
of the approach is that the knowledge about the
response process is tested every time a test is administered.
Validation thus becomes an ongoing
process rather than an occasional event. This approach
is illustrated through an analysis of hidden-figure
items, and is shown to be feasible. Index
terms: construct validity, generative modeling, isomorphic
problems, item difficulty, spatial ability, validation.
Bejar, Isaac I & Yocom, Peter. (1991). A generative approach to the modeling of isomorphic hidden-figure items. Applied Psychological Measurement, 15, 129-137. doi:10.1177/014662169101500202
Bejar, Isaac I.; Yocom, Peter.
A generative approach to the modeling of isomorphic hidden-figure items.
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