Meta-Analyses

Meta-analysis is a powerful statistical technique employed by MakeTruth.org to systematically combine and analyze data from multiple independent studies. This approach allows us to draw more robust conclusions, identify consistent patterns, and estimate the overall effect of interventions or phenomena that might not be apparent from individual studies alone.

Our Meta-Analytic Process

Our meta-analyses follow a stringent, multi-step process to ensure scientific rigor and minimize bias:

  • Problem Formulation: Clearly defining the research question and hypotheses.
  • Literature Search: Conducting comprehensive and systematic searches across diverse databases to identify all relevant studies.
  • Study Selection: Applying predefined inclusion and exclusion criteria to select studies for quantitative synthesis.
  • Data Extraction: Systematically extracting relevant data (e.g., effect sizes, sample characteristics) from each selected study.
  • Quality Assessment: Critically appraising the methodological quality and risk of bias of included studies.
  • Statistical Synthesis: Employing appropriate statistical models (e.g., fixed-effect, random-effects) to combine effect sizes and calculate overall estimates.
  • Heterogeneity Assessment: Investigating variability between study results and exploring potential moderating factors.
  • Sensitivity Analysis: Assessing the robustness of findings by testing different analytical assumptions.

Impact of Meta-Analyses

Meta-analyses conducted by MakeTruth.org contribute significantly to:

  • Informing Policy: Providing robust evidence to guide public policy and decision-making.
  • Advancing Theory: Confirming or refuting theoretical propositions by synthesizing empirical evidence.
  • Identifying Gaps: Highlighting areas where further research is needed due to inconclusive or sparse evidence.
  • Resolving Contradictions: Offering clearer insights where individual studies present conflicting results.

Featured Meta-Analyses

Effectiveness of Digital Literacy Interventions on Misinformation Resilience

MakeTruth Meta-Analysis Series, 2023

A quantitative synthesis of studies evaluating how digital literacy programs impact an individual's ability to identify and resist misinformation.

Read Full Analysis

The Association Between Social Media Use and Public Trust in Science

MakeTruth Meta-Analysis Series, 2024

A meta-analysis exploring the complex relationship between engagement with social media platforms and the level of public trust in scientific institutions and findings.

Read Full Analysis

Our meta-analyses provide a high-level evidence base for academic discourse, policy development, and public understanding of complex phenomena.