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RER Literature Synthesis & PRISMA Review

brycewang-stanfordbybrycewang-stanford
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Learning & Documentation

Executes exhaustive systematic literature searches, PRISMA-compliant screening workflows, and structured data extraction for educational research reviews.

Designed for the rigorous publishing standards of the Review of Educational Research (RER) and leading academic journals, this skill guides researchers through exhaustive multi-database search protocols, reproducible PRISMA flow accounting, dual independent screening, and systematic data extraction. It eliminates common systematic review pitfalls—such as missed cross-disciplinary databases, overlooked grey literature, and unverified data pooling—ensuring a fully documented, defensible evidence corpus ready for meta-analysis or narrative synthesis.

Key Features

01Multi-database search execution covering ERIC, PsycINFO, Scopus, Web of Science, and grey literature
02PRISMA flow tracking with reconciled counts across identification, screening, and inclusion
03Dual independent screening workflows with inter-rater reliability (Cohen's κ) metrics
04Forward and backward snowballing verification to ensure literature saturation
051,090 GitHub stars
06Structured codebook data extraction tracking sample contexts, study designs, and effect sizes

Use Cases

01Executing and documenting a reproducible PRISMA systematic literature search for journal submission
02Establishing inter-rater screening reliability and conflict resolution protocols for review teams
03Extracting standardized study variables and effect sizes for educational meta-analyses