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Toward a dependable measure of reflection-impulsivity: An application of generalizability theory
Authors:John M. Watkins  Howard B. Lee  Oded Erlich
Affiliation:(1) Department of Psychology, University of Hawaii, 96822 Honolulu, Hawaii;(2) Department of Psychology, University of California, Los Angeles, California;(3) Department of Education, Tel Aviv University, Tel Aviv, Israel
Abstract:Generalizability theory was applied to the Matching Familiar Figures Test (MFF) to analyze the dependability of the MFF as a measure of reflection-impulsivity at four grade levels: second, third, fourth, and fifth. A completely crossed, two-facet random model design was used to provide a multidimensional framework for examining the dependability of the MFF. Components of variance and coefficients of generalizability were derived from this design for the MFF error and latency scores at each grade level. Results showed that the MFF latency score was a more dependable measure than the MFF error score. In addition, the number of testing occasions made a more significant contribution to the generalizability of the MFF than the number of items. Coefficients of generalizability based on extrapolated items and occasions were also computed, providing the basis for improving the dependability of the MFF in future research. Overall, results indicate that the traditional method of allowing multiple trials for each item contributes to the imprecision of the MFF error score. An alternative procedure for administering the MFF is recommended.Portions of this article were presented at the annual convention of the American Educational Research Association, Toronto, Canada, March 1978. At various times during the conduct and completion of the present article, the first author was affiliated with the Los Angeles Unified School District and the University of California, Los Angeles.
Keywords:generalizability theory  Matching Familiar Figures Test  reflection-impulsivity
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