Advanced Basic Meta-analysis

Regular price €179.80
A01=Brian Mullen
Author_Brian Mullen
Categorical Predictor
Category=PBT
Combined Effect Size
Continuous Metric
Continuous Predictors
Contrast Weights
data
database
database management system
Diffuse Comparisons
Disjoint Cluster
effect
effect size calculation
Effect Size Indicator
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Fail Safe Number
File Drawer Problem
Funnel Plot
General Analytic Questions
hypothesis
hypothesis testing methods
Independent Studies
integration
Interpersonal Expectancy Effects
level
meta-analytic
Meta-analytic Data Base
Meta-analytic Database
Meta-analytic Integration
Meta-analytic Level
Meta-analytic Procedure
meta-analytic statistical software integration
Observer Presence
Primary Level Studies
Product Moment Correlation Coefficient
research outcome predictors
reviewer
size
Standard Normal Deviates
statistical significance comparison
study retrieval strategies
test
Traditional Narrative Review
Typical Study Outcome

Product details

  • ISBN 9780805805024
  • Weight: 490g
  • Dimensions: 156 x 234mm
  • Publication Date: 01 Sep 1989
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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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.