Mini Meta-Analysis of Your Own Studies: Some Arguments on Why and a Primer on How

By Jin X. Goh, Judith A. Hall, R. Rosenthal. 2016

889 citations recorded by the source corpus.

Subfields: Applied Psychology, General Decision Sciences, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/27236f7f199e0f44d34fd0b8339b7b8ec67405de

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Applied Psychology

1. J. Richeson

In Statistics and Probability

1. Alexander Renkl

Citations in the corpus

• Consequences of attributing discrimination to implicit vs. explicit bias (2019, methodology): “In order to assess the robustness of the effects observed across our studies, we conducted an internal meta-analysis (Goh, Hall, & Rosenthal, 2016).”
• The Self-Regulation-View in Writing-to-Learn: Using Journal Writing to Optimize Cognitive Load in Self-Regulated Learning (2020, background): “To foreshadow the effects of prompted journal writing on learning outcomes, a mini meta-analysis following Goh et al. (2016) showed a medium-to-large effect size in favor of instructionally supported journal writing by prompts versus unsupported journal writing, Hedges’s g of 0.78, SE = 0.14, p <…”