In this article we use a multifacet measurement technique, the multifacet Rasch model, to analyze the results of an IRR-training program. Our approach is an alternative to the procedures—congruency, consistency, agreement (rwg), sensitivity, and systematic differences—currently used during IRR training within the airline industry. We believe that this multifacet procedure can improve the quality of pilot instructor training by providing pilot instructors with important information that is not available with other techniques. We used the multifacet Rasch method instead of generalizability (G) theory, another multifacet technique. Similar to multifacet Rasch analysis, G-theory provides information about facets—pilot instructors, videotapes of aircrews used in IRR training, and LOS grade sheets—and their interactions with one another. However, G-theory partitions the variance attributable to each of these facets using an analysis of variance (ANOVA) framework and thus focuses on groups as the unit of analysis (i.e., whether or not pilot instructors as a group are reliable or unreliable as opposed to the performance of a particular instructor undergoing IRR training).
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The American Institutes for Research was commissioned by the Pew Internet & American Life Project to conduct a qualitative study of the attitudes and behaviors of Internet-using public middle and high school students drawn from across the country. The study is based primarily on information gathered from 14 gender-balanced, racially diverse focus groups of 136 students, drawn from 36 different schools.
This report describes the implementation of the Technology Literacy Challenge Fund (TLCF) program from 1997 through 2001 from the perspective of state technology coordinators, district technology coordinators, school principals, and classroom teachers.