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Full-Text Articles in Social and Behavioral Sciences
Comparisons Of Artifact Correction Procedures For Meta-Analysis: An Empirical Examination On Correcting Reliabilities, Lei Zhao
Dissertations
This study reviewed some challenges and issues in artifact correction meta-analysis, particularly around using reliability estimates to correct for measurement error. Two individual correction procedures—the Hunter-Schmidt procedure and the procedure developed by Raju, Burke, Normand, and Langlois (the RBNL procedure)—are addressed in this research. The purpose of this study is to use real-world data to examine the differences between meta-analytic estimations produced by the two artifact correction procedures and those by the traditional bare-bones meta-analysis procedures, under the condition of inter-dependent reliabilities. The impact of this inter-correlation on meta-analysis results needs investigation when artifact indicators, such as reliability of predictor …
Using Robust Standard Errors To Combine Multiple Regression Estimates With Meta-Analysis, Ryan T. Williams
Using Robust Standard Errors To Combine Multiple Regression Estimates With Meta-Analysis, Ryan T. Williams
Dissertations
Combining multiple regression estimates with meta-analysis has continued to be a difficult task. A variety of methods have been proposed and used to combine multiple regression slope estimates with meta-analysis, however, most of these methods have serious methodological and practical limitations. The purpose of this study was to explore the use of robust variance estimation for combining commonly specified multiple regression models and for combining sample-dependent focal slope estimates from diversely specified models. A series of Monte-Carlo simulations were conducted to investigate the performance of a robust variance estimator for each of these approaches. Key meta-analytic parameters were varied throughout …