Fixed- versus random-effects models in meta-analysis: model properties and an empirical comparison of differences in results.

By Frank L. Schmidt, In-Sue Oh, Theodore L. Hayes. British Journal of Mathematical & Statistical Psychology, 2009

674 citations recorded by the source corpus.

Subfields: Applied Psychology, Economics and Econometrics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/91250d77bdb0e321bcb18e8cda934d0233f8c3a6

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. Herman Aguinis
2. Raphael Gillett
3. Mike W.-L. Cheung
4. J. Sánchez-Meca
5. Fulgencio Marín-Martínez
6. G. Banks
7. Frank Bosco
8. Peter Sedlmeier

In Economics and Econometrics

1. Herman Aguinis
2. Mike W.-L. Cheung
3. Andy Field
4. G. Banks
5. Raphael Gillett
6. Peter Sedlmeier
7. Juliane Eberth
8. In-Sue Oh

In Statistics and Probability

1. Herman Aguinis
2. Mike W.-L. Cheung
3. G. Banks
4. J. Sánchez-Meca
5. Raphael Gillett
6. Fulgencio Marín-Martínez
7. Sven Kepes
8. In-Sue Oh

Citations in the corpus

• The Relationship Between Burnout, Depression, and Anxiety: A Systematic Review and Meta-Analysis (2019, background): “…(language restric ons) (n = 17) Records excluded (no full text) (n = 21) Records screened (n = 3009) Records screened (n = 2988) FIGURE 1 | Flow diagram for burnout and depression. be preferable and allow generalization beyond the set of studies examined to future studies (Schmidt et al., 2009).”
• metaSEM: an R package for meta-analysis using structural equation modeling (2015, methodology): “There are two classes of models in meta-analysis—fixed-effects models and randomeffects models (see Hedges and Vevea, 1998; Schmidt et al., 2009).”
• On Cultural and Macroeconomic Contingencies of the Entrepreneurial Orientation–Performance Relationship (2014, neutral): “We used random-effects models to calculate the mean correlations (Schmidt, Oh, & Hayes, 2009), which allows generalizations to be made for a population of studies, provides more realistic estimates of average effect sizes, and indicates the variability in true effect sizes across studies…”
• Aerobic Exercise and Neurocognitive Performance: a Meta-Analytic Review of Randomized Controlled Trials (2010, background): “variation and provides a more conservative estimate of treatment effects (70).”
• Impact of Trust and Privacy Concerns on Technology Acceptance in Healthcare: An Indian Perspective (2020, neutral): “[104] in their study discussed comparison of FE and RE model for empirical data.”
• Meta-analytic Reviews in the Organizational Sciences: Two Meta-analytic Schools on the Way to MARS (the Meta-analytic Reporting Standards) (2013, methodology): “Estimation Model There are two generic models, random- and fixed-effects models5 (Borenstein et al. 2009; Hedges and Vevea 1998; Hunter and Schmidt 2004; Schmidt et al. 2009).”