Jin X. Goh
Statistics and Probability · 2015–2016
A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 19 citations into it
- Applied Psychology — 5 citations into it
Whom Jin X. Goh trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- M. Dimatteo
- Daniël Lakens
- Scott B. Morris
- R. Rosnow
- R. Rosenthal
- H. Cooper
- Richard P. DeShon
- Mark Dodgson
- L. Hedges
Who trusts Jin X. Goh overall
Papers from Jin X. Goh's perspective
Ordered by how strongly the researchers Jin X. Goh trusts endorse each paper. Same corpus, a different order for every researcher.
- Combining effect size estimates in meta-analysis with repeated measures and independent-groups designs. (Psychological methods)
- Measuring the Prevalence of Questionable Research Practices With Incentives for Truth Telling (Psychology Science)
- The Handbook of Research Synthesis and Meta-Analysis
- Investigating Variation in Replicability: A “Many Labs” Replication Project
- Conducting Meta-Analyses in R with the metafor Package
- An open investigation of the reproducibility of cancer biology research
- Editorial
- Effect Sizes Why, When, and How to Use Them
- Social support and patient adherence to medical treatment: a meta-analysis. (Health Psychology)
- Calculating and reporting effect sizes to facilitate cumulative science: a practical primer for t-tests and ANOVAs (Frontiers in Psychology)
Their papers
- Estimating the reproducibility of psychological science (2015) — 7,174 citations
- Mini Meta-Analysis of Your Own Studies: Some Arguments on Why and a Primer on How (2016) — 889 citations