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Full-Text Articles in Education
Inferential Procedures For Dominance Analysis Measures In Multiple Regression, Shuwen Tang
Inferential Procedures For Dominance Analysis Measures In Multiple Regression, Shuwen Tang
Theses and Dissertations
In order to better interpret a selected multiple regression model, researchers are often interested in whether a predictor is significantly more important than another or not. This study investigates the performance of the Normal-Theory based (asymptotic) confidence interval and bootstrap confidence intervals for predictors' dominance relationships using both normal and non-normal data. The results show that asymptotic confidence interval method is adequate to make inferences for comparing two general dominance measures when the distribution is multivariate normal or slightly non-normal and when the effect size is no less than 0.15 and the sample size is at least 100. However, the …
Dif Analyses In Multilevel Data: Identification And Effects On Ability Estimates, Yao Wen
Dif Analyses In Multilevel Data: Identification And Effects On Ability Estimates, Yao Wen
Theses and Dissertations
Fairness is an important issue in educational testing in that different groups of examinees should have equal probabilities of answering an item correctly, provided they have the same capabilities. Therefore, differential item functioning (DIF) analyses were developed due to the possibility of bias in cognitive or achievement tests. Data are multilevel structured in educational testing as students are nested within teachers who are nested within schools, and which may further be nested within districts. Although DIF analyses have been discussed for decades, they are rarely investigated in multilevel data. In this study, DIF analyses in multilevel data were investigated via …