Meta-analysis is the most powerful tool for drawing conclusions across multiple studies. At APA PUB, we help researchers synthesize findings from previous research and statistically assess patterns, contradictions, and effect sizes — using robust, publication-ready methods.
Whether part of a Systematic Literature Review (SLR), dissertation, or standalone journal article, our meta-analysis support includes data coding, effect size extraction, heterogeneity testing, forest/plotted graphs, and comprehensive result interpretation.
We extract relevant data from studies using standardized templates — including means, SDs, sample sizes, and effect metrics.
Using software like R, STATA, or CMA, we run fixed/random effects models, heterogeneity tests (Q, I²), and publication bias assessments.
We deliver forest plots, funnel plots, summary tables, and academic-level interpretation for your final report or manuscript.
Let our statisticians and research experts handle the complexity — you focus on the insight.
We are driven by a commitment to excellence, integrity, and precision, we transform complex concepts into clear, impactful, and publication-ready work.