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
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