Obtaining Unbiased Results in Meta-Analysis: The Importance of Correcting for Statistical Artifacts
Volume: 3, Issue: 1, Pages: 94 - 123
Published: Jan 22, 2020
Abstract
Most published meta-analyses address only artifactual variance due to sampling error and ignore the role of other statistical and psychometric artifacts, such as measurement error variance (due to factors including unreliability of measurements, group misclassification, and variable treatment strength) and selection effects (including range restriction or enhancement and collider biases). These artifacts can have severe biasing effects on the...
Paper Details
Title
Obtaining Unbiased Results in Meta-Analysis: The Importance of Correcting for Statistical Artifacts
Published Date
Jan 22, 2020
Volume
3
Issue
1
Pages
94 - 123
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