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Introduction to Meta‐Analysis
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Statistical Methods for Meta-Analysis
Preface. Introduction. Data Sets. Tests of Statistical Significance of Combined Results. Vote-Counting Methods. Estimation of a Single Effect Size: Parametric and Nonparametric Methods. Parametric…
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Distribution Theory for Glass's Estimator of Effect size and Related Estimators
Glass's estimator of effect size, the sample mean difference divided by the sample standard deviation, is studied in the context of an explicit statistical model. The exact distribution of Glass's…
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THE META‐ANALYSIS OF RESPONSE RATIOS IN EXPERIMENTAL ECOLOGY
TLDR
The approximate sampling distribution of the log response ratio is given, why it is a particularly useful metric for many applications in ecology, and how to use it in meta-analysis are discussed.
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The Handbook of Research Synthesis and Meta-Analysis
The chapter on stochastically dependent effect sizes by Gleser and Olkin (2009) in The handbook of research synthesis and meta-analysis (2nd ed.) describes. Download Here: tinyurl.com/ohnxrcn When…
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Intraclass Correlation Values for Planning Group-Randomized Trials in Education
Experiments that assign intact groups to treatment conditions are increasingly common in social research. In educational research, the groups assigned are often schools. The design of…
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Fixed- and random-effects models in meta-analysis.
There are 2 families of statistical procedures in meta-analysis: fixed- and randomeffects procedures. They were developed for somewhat different inference goals: making inferences about the effect…
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A basic introduction to fixed‐effect and random‐effects models for meta‐analysis
TLDR
This paper explains the key assumptions of each model, and outlines the differences between the models, to conclude with a discussion of factors to consider when choosing between the two models.
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Redefine statistical significance
TLDR
The default P-value threshold for statistical significance is proposed to be changed from 0.05 to 0.005 for claims of new discoveries in order to reduce uncertainty in the number of discoveries.
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Categories and particulars: prototype effects in estimating spatial location.
TLDR
The proposed model has broad implications; notably, it has the potential to explain biases of the sort described in psychophysics as well as symmetries in similarity judgments, without positing distorted representations of physical scales.
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