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Meta-analytic procedures for social research
Introduction Defining Research Results Retrieving and Assessing Research Results Comparing and Combining Research Results Combining Probabilities Illustrations of Meta-Analytic Procedures The
The file drawer problem and tolerance for null results
Quantitative procedures for computing the tolerance for filed and future null results are reported and illustrated, and the implications are discussed.
Essentials of Behavioral Research: Methods and Data Analysis
This chapter discusses the nature of Behavioral Research, the development and testing of research ideas, and the selection of subjects and Stimuli for experiments.
Comparing correlated correlation coefficients
The purpose of this article is to provide simple but accurate methods for comparing correlation coefficients between a dependent variable and a set of independent variables. The methods are simple
Meta-analysis: recent developments in quantitative methods for literature reviews.
Advantages of the meta-analytic procedures include seeing the "landscape" of a research domain, keeping statistical significance in perspective, minimizing wasted data, becoming intimate with the data summarized, asking focused research questions, and finding moderator variables.
Writing Meta-Analytic Reviews
This article describes what should typically be included in the introduction, method, results, and discussion sections of a meta-analytic review. Method sections include information on literature
Statistical Procedures and the Justification of Knowledge in Psychological Science
Justification, in the vernacular language of philosophy of science, refers to the evaluation, defense, and confirmation of claims of truth. In this article, we examine some aspects of the rhetoric of
A Simple, General Purpose Display of Magnitude of Experimental Effect
We introduce the binomial effect size display (BESD), which is useful because it is (a) easily understood by researchers, students, and lay persons; (b) widely applicable; and (c) conveniently