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Full-Text Articles in Education
Modeling Student Outcomes In A General Education Course With Hierarchical Linear Models, Christine E. Demars
Modeling Student Outcomes In A General Education Course With Hierarchical Linear Models, Christine E. Demars
Department of Graduate Psychology - Faculty Scholarship
When students are nested within course sections, the assumption of independence of residuals is unlikely to be met, unless the course section is explicitly included in the model. Hierarchical linear modeling (HLM) allows for modeling the course section as a random effect, leading to more accurate standard errors. In this study, students chose one of four themes for a communications course, with multiple sections and instructors within each theme. HLM was used to test for differences by theme in scores on a final exam; the differences were not significant when SAT scores were controlled.
Equating Multiple Forms Of A Competency Test: An Item Response Theory Approach, Christine E. Demars
Equating Multiple Forms Of A Competency Test: An Item Response Theory Approach, Christine E. Demars
Department of Graduate Psychology - Faculty Scholarship
A competency test was developed to assess students' skills in using electronic library resources. Because all students were required to pass the test, and had multiple opportunities to do so, multiple test forms were desired. Standards had been set on the original form, and minor differences in form difficulty needed to be taken into account. Students were randomly administered one of six new test forms; each form contained the original items and 12 pilot items which were different on each form. The pilot items were then calibrated to the metric of the original items and incorporated in two additional operational …