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ERIC Number: ED564099
Record Type: Non-Journal
Publication Date: 2013
Pages: 10
Abstractor: ERIC
Reference Count: 4
Using Robust Variance Estimation to Combine Multiple Regression Estimates with Meta-Analysis
Williams, Ryan
Society for Research on Educational Effectiveness
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. The proposed estimator obviates traditionally required information about the covariance structure of the dependent effect size estimates, making it a potentially flexible method for conducing meta-analyses of regression estimates. A series of Monte Carlo simulations were conducted to explore the performance of the robust variance estimator under different meta-analytic conditions. The results of the simulations for this approach were promising. The robust confidence intervals for each set of parameter combinations were close to nominal probability content in nearly all of the specified conditions. Robust Variance Estimation and Meta-Analysis is appended.
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Publication Type: Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: Society for Research on Educational Effectiveness (SREE)