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A Comparison Of Latent Class Analysis And The Mixture Rasch Model: A Cross-Cultural Comparison Of 8th Grade Mathematics Achievement In The Fourth International Mathematics And Science Study (Timss-2011), Turker Toker
Electronic Theses and Dissertations
This study provides a comparison of the results of latent class analysis (LCA) and mixture Rasch model (MRM) analysis using data from the Trends in International Mathematics and Science Study - 2011 (TIMSS-2011) with a focus on the 8th-grade mathematics section. The research study focuses on the comparison of LCA with Mplus version 7.31 and MRM with WinMira 2011 to determine if results obtained differ when the assumed psychometric model differs. Also, a log-linear analysis was conducted to understand the interactions between latent classes identified by LCA and MRM. The data set used in the study was from four diverse …
A Reliability Generalization Study Of The Brief Symptom Inventory-18, Dareen Taha Alzahrani
A Reliability Generalization Study Of The Brief Symptom Inventory-18, Dareen Taha Alzahrani
Electronic Theses and Dissertations
Reliability generalization (RG) is a meta-analytic method that aims to assess the variability of test score reliability across studies and identify the sources of this variability. In this study, a reliability generalization analysis was performed on studies of the Brief Symptom Inventory-18 (BSI-18) to examine the variability in Cronbach's alpha reliability estimates reported in the literature. This inventory was chosen because of its extensive use in counseling and medical settings and documented reliability and validity. The database that was consulted to collect articles was PsycInfo. The reported Cronbach's alphas were obtained to assess whether defined moderator variables affected reliability estimates. …
A Comparison Between Propensity Score Matching, Weighting, And Stratification In Multiple Treatment Groups: A Simulation Study, Priyalatha Govindasamy
A Comparison Between Propensity Score Matching, Weighting, And Stratification In Multiple Treatment Groups: A Simulation Study, Priyalatha Govindasamy
Electronic Theses and Dissertations
The application of propensity score techniques (matching, stratification, and weighting) with multiple treatment levels are similar to those used in binary groups. However, given that the application of propensity scores in multiple treatment groups is new, factors affecting the performance of matching, stratification, and weighting in multiple treatment groups are less explored. Therefore, this study was conducted to determine the performance of different propensity score techniques with multiple treatment groups under various circumstances. Specifically, the study focused on examining how the three propensity score corrective techniques perform in estimating treatment effects under (1) overt and (2) hidden types of selection …