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Social and Behavioral Sciences Commons

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Education

2009

Theses/Dissertations

Missing Data

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Full-Text Articles in Social and Behavioral Sciences

A Monte Carlo Study: The Impact Of Missing Data In Cross-Classification Random Effects Models, Meltem Alemdar Aug 2009

A Monte Carlo Study: The Impact Of Missing Data In Cross-Classification Random Effects Models, Meltem Alemdar

Educational Policy Studies Dissertations

Unlike multilevel data with a purely nested structure, data that are cross-classified not only may be clustered into hierarchically ordered units but also may belong to more than one unit at a given level of a hierarchy. In a cross-classified design, students at a given school might be from several different neighborhoods and one neighborhood might have students who attend a number of different schools. In this type of scenario, schools and neighborhoods are considered to be cross-classified factors, and cross-classified random effects modeling (CCREM) should be used to analyze these data appropriately. A common problem in any type of …


A Monte Carlo Study Investigating Missing Data, Differential Item Functioning, And Effect Size, Phyllis Lorena Garrett Aug 2009

A Monte Carlo Study Investigating Missing Data, Differential Item Functioning, And Effect Size, Phyllis Lorena Garrett

Educational Policy Studies Dissertations

ABSTRACT A MONTE CARLO STUDY INVESTIGATING MISSING DATA, DIFFERENTIAL ITEM FUNCTIONING, AND EFFECT SIZE by Phyllis Garrett The use of polytomous items in assessments has increased over the years, and as a result, the validity of these assessments has been a concern. Differential item functioning (DIF) and missing data are two factors that may adversely affect assessment validity. Both factors have been studied separately, but DIF and missing data are likely to occur simultaneously in real assessment situations. This study investigated the Type I error and power of several DIF detection methods and methods of handling missing data for polytomous …