[R-meta] Aggregating results from multiple reg. models in metafor
jen@@@chueler @ending from wiwi@uni-kl@de
Mon May 7 11:53:02 CEST 2018
I am not sure if this exactly what you are looking for but I came across the
practice of using partial correlations in a number of published
meta-analysis in management journals e.g.
Marano, V., Arregle, J. L., Hitt, M. A., Spadafora, E., & van Essen, M.
(2016). Home country institutions and the internationalization-performance
relationship: A meta-analytic review. Journal of Management, 42(5),
If I have understood the practice correctly, you have to calculate partial
correlation coefficients from the regression estimates. The "challenge"
though is that the regression models, from which the correlations are to be
calculated from, have to be similar or the results are prone to bias.
Aloe published a couple of papers on that:
Aloe, A. M., & Thompson, C. G. (2013). The synthesis of partial effect
sizes. Journal of the Society for Social Work and Research, 4(4), 390-405.
Aloe, A. M. (2014). An empirical investigation of partial effect sizes in
meta-analysis of correlational data. The Journal of general psychology,
Von: R-sig-meta-analysis <r-sig-meta-analysis-bounces at r-project.org> Im
Auftrag von j.briggs
Gesendet: Montag, 7. Mai 2018 10:04
An: r-sig-meta-analysis at r-project.org
Betreff: [R-meta] Aggregating results from multiple reg. models in metafor
I would like to aggregate results from different multiple regression models
(same variables different datasets/studies). After reading Lipsey and Wilson
(2001, p. 67) this seems somewhat more complex. I was wondering about the
most suitable way to do this using the metafor package?
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