The Synthesis of Partial Effect Sizes
By Ariel M. Aloe, Christopher G. Thompson. Journal of the Society for Social Work and Research, 2013
135 citations recorded by the source corpus.
Subfields: Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/c435329c8468968132863c626e3faae8cd75fef1
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Management Science and Operations Research
- Lorna M. Porter
- D. Liebowitz
- R. Kim
- B. Becker
- J. Polanin
- Christopher G. Thompson
- Ariel M. Aloe
- Terri D. Pigott
In Statistics and Probability
- Lorna M. Porter
- D. Liebowitz
- J. Polanin
- R. Kim
- B. Becker
- Ariel M. Aloe
- Terri D. Pigott
- Christopher G. Thompson
Citations in the corpus
- Extracting the Variance Inflation Factor and Other Multicollinearity Diagnostics from Typical Regression Results (2017, methodology): “…p ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi n p 1 p ; where tj is the t statistic from the test of significance for the jth predictor for the test of H0: βj ¼ 0 and R2 is the overall variance explained by the model with p predictors (see Aloe & Becker, 2012; Aloe & Thompson, 2013).”
- Methodological Guidance Paper: High-Quality Meta-Analysis in a Systematic Review (2019, background): “Aloe and Becker (2012) and Aloe and Thompson (2013) discuss effect sizes computed from the results of regressions for use in meta-analyses that are interested in estimating a treatment effect or a correlation between constructs.”
- The Effect of Principal Behaviors on Student, Teacher, and School Outcomes: A Systematic Review and Meta-Analysis of the Empirical Literature (2019, methodology): “…standard procedures for calculating mean differences, correlation coefficients, partial correlations, and standardized regression coefficients (Aloe & Thompson, 2013; Borenstein, 2009).6 We construct effect sizes to reflect the relationship between a one standard deviation change in…”