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Related Experiment Videos

Meta-analysis: a case study.

Derek C Briggs1

  • 1University of Colorado, Boulder, USA.

Evaluation Review
|February 26, 2005
PubMed
Summary
This summary is machine-generated.

This study questions the value of meta-analysis for social science research. Meta-analysis of SAT coaching studies showed significant prediction errors and problematic statistical inferences, similar to narrative reviews.

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Area of Science:

  • Social Sciences
  • Educational Research
  • Quantitative Methods

Background:

  • Meta-analysis is a common method for synthesizing quantitative research.
  • Its application in social sciences, particularly for program evaluation, warrants critical examination.
  • Concerns exist regarding the reliability and validity of meta-analytic findings.

Purpose of the Study:

  • To evaluate the utility of meta-analysis for reviewing quantitative research in the social sciences.
  • To assess the predictive accuracy and interpretability of meta-analytic models.
  • To investigate the impact of researcher subjectivity in meta-analytic reviews.

Main Methods:

  • The study employed a meta-analytic model applied to Scholastic Assessment Test (SAT) coaching studies.

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  • Statistical analyses focused on prediction error, regression interpretation, and model-data fit.
  • Comparison was made between meta-analysis and narrative review regarding researcher subjectivity.
  • Main Results:

    • Meta-analytic models for SAT coaching exhibited substantial prediction errors for future studies.
    • Interpretations of meta-analytic regressions and study characteristics were found to be equivocal.
    • The assumptions of the meta-analytic model did not align well with the data from SAT coaching studies, complicating statistical inferences.

    Conclusions:

    • The usefulness of meta-analysis for quantitative social science research is questionable.
    • Meta-analysis does not inherently reduce prediction error or statistical uncertainty compared to other methods.
    • Researcher subjectivity remains a significant concern in meta-analysis, similar to narrative reviews.