Abstract
Traditional meta-analytic computations are pretty straightforward and do not necessarily need the help of statistical software. Unfortunately, traditional fixed effect analysis is slightly inappropriate, random effect analysis is weak. Analyses with novel methodologies like the quasi-likelihood methodology and the quality effects method are welcome, but they can not be accomplished without a computer. Examples and step by step analyses are given.
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SPSS statistical software and SPSS Modeler have been applied, as a help in the majority of this edition's chapters, e.g., the chaps. 13–18 and 24. SPSS statistical software not only provides meta-analysis software as a help, but also for entire analyses. However, SPSS for entire meta-analyses is pretty hard, because nothing is in the menu, and everything depends on your syntax capacities.
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Cleophas, T.J., Zwinderman, A.H. (2017). Meta-analysis with Statistical Software. In: Modern Meta-Analysis. Springer, Cham. https://doi.org/10.1007/978-3-319-55895-0_5
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DOI: https://doi.org/10.1007/978-3-319-55895-0_5
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Publisher Name: Springer, Cham
Print ISBN: 978-3-319-55894-3
Online ISBN: 978-3-319-55895-0
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