Citations (16)
Keep up to date with the latest research on this topic with citation updates for this article.
Read on this site (5)
Ian Gonzales & Johnson Ching-Hong Li. (2022) What effect sizes should researchers report for multiple regression under non-normal data?. Communications in Statistics - Simulation and Computation 0:0, pages 1-19.
Read now
Read now
Jesús F. Salgado, Silvia Moscoso, Juan I. Sanchez, Pamela Alonso, Beata Choragwicka & Alfredo Berges. (2015) Validity of the five-factor model and their facets: The impact of performance measure and facet residualization on the bandwidth-fidelity dilemma. European Journal of Work and Organizational Psychology 24:3, pages 325-349.
Read now
Read now
SusanTroncoso Skidmore & Bruce Thompson. (2011) Choosing the Best Correction Formula for the Pearson r
2Effect Size. The Journal of Experimental Education 79:3, pages 257-278.
Read now
Read now
Zhongmiao Wang & Bruce Thompson. (2007) Is the Pearson r
2 Biased, and if So, What Is the Best Correction Formula?. The Journal of Experimental Education 75:2, pages 109-125.
Read now
Read now
Ping Yin & Xitao Fan. (2001) Estimating R
2 Shrinkage in Multiple Regression: A Comparison of Different Analytical Methods. The Journal of Experimental Education 69:2, pages 203-224.
Read now
Read now
Articles from other publishers (11)
Dámaris Cuadrado, Jesús F. Salgado & Silvia Moscoso. (2020) Individual differences and counterproductive academic behaviors in high school. PLOS ONE 15:9, pages e0238892.
Crossref
Crossref
Ali Trabelsi & Mohamed Ali Rezgui. (2020) Robust design of processes and products using the mathematics of the stochastic frontier (SF). The International Journal of Advanced Manufacturing Technology 106:7-8, pages 2829-2841.
Crossref
Crossref
Robert L. Dipboye. 2018. The Emerald Review of Industrial and Organizational Psychology. The Emerald Review of Industrial and Organizational Psychology
767
895
.
Corey L. Moore & Ningning Wang. (2016) A national benchmark investigation of return-to-work outcome rates between African American, Native American or Alaskan Native, Latino, Asian American or Pacific Islander, and Non-Latino White veterans served by state vocational rehabilitation agencies: Application of bootstrap data expansion. Journal of Vocational Rehabilitation 45:2, pages 133-147.
Crossref
Crossref
Corey L. Moore, Ningning Wang, Jean Johnson, Edward O. Manyibe, Andre L. Washington & Atashia Muhammad. (2015) Return-to-Work Outcome Rates of African American Versus White Veterans Served by State Vocational Rehabilitation Agencies. Rehabilitation Counseling Bulletin 59:3, pages 158-171.
Crossref
Crossref
Susan Troncoso Skidmore & Bruce Thompson. (2012) Bias and precision of some classical ANOVA effect sizes when assumptions are violated. Behavior Research Methods 45:2, pages 536-546.
Crossref
Crossref
Jesús F. Salgado, Silvia Moscoso & Alfredo Berges. (2013) Conscientiousness, Its Facets, and the Prediction of Job Performance Ratings: Evidence against the narrow measures. International Journal of Selection and Assessment 21:1, pages 74-84.
Crossref
Crossref
Manuel C. Voelkle, Phillip L. Ackerman & Werner W. Wittmann. (2007) Effect Sizes and F Ratios < 1.0. Methodology 3:1, pages 35-46.
Crossref
Crossref
Crystal Reneé Hill & Bruce Thompson. 2005. Higher Education: Handbook of Theory and Research. Higher Education: Handbook of Theory and Research
175
196
.
Richard J. Smith. (2002) Estimation of Body Mass in Paleontology. Journal of Human Evolution 43:2, pages 271-287.
Crossref
Crossref
Fiona FidlerBruce Thompson. (2016) Computing Correct Confidence Intervals for Anova Fixed-and Random-Effects Effect Sizes. Educational and Psychological Measurement 61:4, pages 575-604.
Crossref
Crossref