What research designs and methodological features qualify a study for meta-analysis and which disqualify it? What types of research reports are appropriate for the meta-analysis? What is the cultural and linguistic range of the studies to be included? By integrating and translating the current methodological and statistical work into a practical guide, the authors address these questions to provide readers with a state-of-the-art introduction to the various approaches to doing meta-analysis. Through the use of a simple metaphor, that of meta-analysis as a form of survey research in which research reports, rather than individual people, are surveyed, the authors show readers how to develop a coding form for their meta-analysis, how to select and gather various research reports for the study, how to code the appropriate information about each study's characteristics, and how to analyze the resulting data using various software packages.
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Problem Specification and Study Retrieval
Selecting Computing and Coding the Effect Size Statistic
Developing a Coding Scheme and Coding Study Reports
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adjusted Aitle analysis ANOVA approach appropriate associated behavioral bias calculated cell frequencies challenge programs Chapter chi-square coder coding protocol compute confidence interval contingency table control group correlation coefficient covariance criteria data file database delinquency dependent variable dichotomous dichotomous variables discussed effect size data effect size statistic effect size values eligible studies ESsm estimate example Exhibit F-ratio fixed effects model Formula group means homogeneity identify IIFEND Imodel leq instance interest inverse variance weight ITHEN macro mean difference effect mean effect means and standard measure meta meta-analysis method method of moments methodological number of effect odds-ratio p-value phi coefficient pooled standard deviation pretest procedures proportion random effects model regression coefficient relationship represent research findings selected specific SPSS standard error standardized mean difference statistically significant study descriptors study findings study reports study-level subject-level sampling error Table B10 tion treatment group