Question:
Which technique allows researchers to conduct an integrative statistical analysis of multiple independent studies addressing the same question?
Which technique allows researchers to conduct an integrative statistical analysis of multiple independent studies addressing the same question?
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Meta-analysis increases statistical power by pooling data across studies.
Updated On: Dec 24, 2025
- Meta-analysis
- Correlational analysis
- Regression analysis
- Bootstrapping
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The Correct Option is A
Solution and Explanation
Step 1: Understanding the research context.
Researchers often need to synthesize findings from multiple independent studies to draw stronger and more reliable conclusions.
Step 2: Defining meta-analysis.
Meta-analysis is a statistical technique that combines results from several studies on the same topic to estimate an overall effect size.
Step 3: Eliminating incorrect options.
(B) Correlational analysis examines relationships within a single dataset.
(C) Regression analysis predicts relationships among variables within one study.
(D) Bootstrapping is a resampling technique, not a method for combining multiple studies.
Step 4: Conclusion.
Only meta-analysis allows systematic and integrative analysis across multiple independent studies.
Final Answer: (A) Meta-analysis
Researchers often need to synthesize findings from multiple independent studies to draw stronger and more reliable conclusions.
Step 2: Defining meta-analysis.
Meta-analysis is a statistical technique that combines results from several studies on the same topic to estimate an overall effect size.
Step 3: Eliminating incorrect options.
(B) Correlational analysis examines relationships within a single dataset.
(C) Regression analysis predicts relationships among variables within one study.
(D) Bootstrapping is a resampling technique, not a method for combining multiple studies.
Step 4: Conclusion.
Only meta-analysis allows systematic and integrative analysis across multiple independent studies.
Final Answer: (A) Meta-analysis
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