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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 TheExpand
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The file drawer problem and tolerance for null results
For any given research area, one cannot tell how many studies have been conducted but never reported. The extreme view of the "file drawer problem" is that journals are filled with the 5% of theExpand
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Essentials of Behavioral Research: Methods and Data Analysis
PART I: EMPIRICAL INQUIRY AND DECISION CRITERIACHAPTER 1: The Nature of Behavioral ResearchCHAPTER 2: Development and Testing of Research IdeasCHAPTER 3: Standards of Reliability and ValidityPART II:Expand
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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 simpleExpand
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Parametric measures of effect size.
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Meta-analysis: recent developments in quantitative methods for literature reviews.
We describe the history and current status of the meta-analytic enterprise. The advantages and historical criticisms of meta-analysis are described, as are the basic steps in a meta-analysis and theExpand
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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 literatureExpand
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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 ofExpand
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Contrast Analysis: Focused Comparisons in the Analysis of Variance
Preface 1. Why contrasts? 2. One-way analysis 3. Two-factor studies 4. Wired-in, pre-analyses, multiples and proportions 5. Repeated-measures designs 6. Mixed sources of variance 7. Practical issuesExpand
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