Advanced BASIC Meta-analysis
In response to the growing emphasis on precision in the summarization and integration of research literature, Advanced BASIC Meta-Analysis presents an overview of strategies, techniques, and procedures used in meta-analysis.
The book and software provide an integrated and comprehensive combination of meta-analytic tools for the statistical integration of independent study results. Advanced BASIC Meta-Analysis has three distinct goals:
* to provide a clear and user-friendly introduction to the procedures and rules of effective meta-analytic integration;
* to present the implicit assumptions and strategies that guide successful meta-analytic integrations; and
* to develop a meta-analytic database management system that allows users to create, modify, and update a database, including the relevant statistical information and predictors, for a given research domain.
The companion software system allows users to perform a full complement of meta-analytic statistical functions with the speed and flexibility of a database management system. It can also construct a wide array of meta-analytic graphic displays. This text and software package serves as a useful introduction to the quantitative assessment of research domains for those new to meta-analyses. It is also a valuable sourcebook for those who have already conducted meta-analyses.
What people are saying - Write a review
We haven't found any reviews in the usual places.
MetaAnalysis An Introduction
Defining the Hypothesis Test
Retrieving the Studies
Retrieving Statistical Tests of the Hypothesis
Retrieving Predictors of Study Outcomes
Combinations of Significance Levels and Effect Sizes
Diffuse Comparisons of Significance Levels and Effect Sizes
Focused Comparisons of Significance Levels and Effect Sizes Complex Effects
Other editions - View all
analytic question approach behavior blocking predictor categorical predictor chapter cluster analysis combination of significance COMBINATIONS AND COMPARISONS common metrics comparison of effect comparison of significance complex effects conceptual conducted consider continuous metric continuous predictor contrast weights correlation cross-blocking data base data file database management system degree of freedom dependent variable derived diffuse comparison disk effect size indicator example fail-safe number file drawer problem frequency distribution funnel plot gauge hindsight bias hypothesis tests included inferential statistics judges levels and effect manipulation checks mean measurement meta meta-analytic database management meta-analytic integration meta-analytic level meta-analytic reviewer meta-analytic statistics module Mullen null results number of hypothesis observer presence obtained operationalization pattern primary-level hypothesis test primary-level researcher primary-level studies prompted to enter publication bias represented research literature retrieving Rosenthal sample scatterplot significance levels statistical tests strategies theoretically relevant typical study outcome user is prompted values well-defined hypothesis Z scores Z transformation ZFISHER