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How to Evaluate Theory-Based Hypotheses in Meta-Analysis Using an AIC-Type Criterion
Rebecca M. Kuiper
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Corresponding author for this work
Leerstoel Hoijtink
Methodology and statistics for the behavioural and social sciences
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Keyphrases
Meta-analysis
100%
Order-restricted Information Criterion
100%
Generalized Order
100%
Odds Ratio
50%
Theory Use
50%
Standardized Mean Difference
50%
Theory Development
25%
Confidence Interval
25%
Statistical Power
25%
Hypothesis Testing
25%
Akaike Information Criterion
25%
Inequality Constraints
25%
Political Science
25%
Confirmatory Factor Model
25%
Model Selection Criteria
25%
Effect Size Estimation
25%
Development Evaluation
25%
Evidence-based Treatment
25%
Power Increase
25%
Biomedical Science
25%
Theory-based Evaluation
25%
Aggregate Effect
25%
Hedge's g
25%
Evidence-based Policy
25%
Overall Effect Size
25%
Developing Theory
25%
Instance Theory
25%
Combined Samples
25%
Psychology
Meta-Analysis
100%
Standardized Mean Difference
100%
Theory Development
50%
Model Selection
50%
Evidence-Based Treatment
50%