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Rubio-Aparicio, María; López-López, José Antonio; Sánchez-Meca, Julio; Marín-Martínez, Fulgencio; Viechtbauer, Wolfgang; Van den Noortgate, Wim – Research Synthesis Methods, 2018
The random-effects model, applied in most meta-analyses nowadays, typically assumes normality of the distribution of the effect parameters. The purpose of this study was to examine the performance of various random-effects methods (standard method, Hartung's method, profile likelihood method, and bootstrapping) for computing an average effect size…
Descriptors: Effect Size, Meta Analysis, Intervals, Monte Carlo Methods
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Wu, Meng-Jia; Becker, Betsy Jane – Research Synthesis Methods, 2013
Regression methods are widely used by researchers in many fields, yet methods for synthesizing regression results are scarce. This study proposes using a factored likelihood method, originally developed to handle missing data, to appropriately synthesize regression models involving different predictors. This method uses the correlations reported…
Descriptors: Regression (Statistics), Correlation, Research Methodology, Accuracy