Monte carlo studies are being used in item response
theory (IRT) to provide information about how validly
these methods can be applied to realistic datasets (e.g.,
small numbers of examinees and multidimensional
data). This paper describes the conditions under which
monte carlo studies are appropriate in IRT-based research,
the kinds of problems these techniques have
been applied to, available computer programs for generating
item responses and estimating item and examinee
parameters, and the importance of conceptualizing
these studies as statistical sampling experiments that
should be subject to the same principles of experimental
design and data analysis that pertain to empirical
studies. The number of replications that should be used
in these studies is also addressed. Index terms: analysis
of variance, experimental design, item response
theory, monte carlo techniques, multiple regression.
Harwell, Michael, Stone, Clement A, Hsu, Tse-Chi & Kirisci, Levent. (1996). Monte carlo studies in item response theory. Applied Psychological Measurement, 20, 101-125. doi:10.1177/014662169602000201
Harwell, Michael; Stone, Clement A.; Hsu, Tse-Chi; Kirisci, Levent.
Monte carlo studies in item response theory.
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