Practical methods for computing power in testing the multivariate general linear hypothesis

Muller, Keith E.; Peterson, Bercedis L.

doi:10.1016/0167-9473(84)90002-1

Cited by 96Statistical Methods and ApplicationsAdvanced Statistical Methods and ModelsProbability and Statistical Research

Practical methods for computing power in testing the multivariate general linear hypothesis

Muller, Keith E., Peterson, Bercedis L.·1984·Computational Statistics & Data Analysis

DOI 10.1016/0167-9473(84)90002-1

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G*Power 3 offers power analyses for the multivariate model following either the approach outlined in Muller and Peterson (1984) or the approach of O'Brien and Shieh (1999).
“G*Power 3 offers power analyses for the multivariate model following either the approach outlined in Muller and Peterson (1984;Muller, LaVange, Landesman-Ramey, & Ramey, 1992) or, alternatively, the approach of O'Brien and Shieh (1999;Shieh, 2003).”
From G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences (2007) · cites this paper as Muller & Peterson, 1984

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Authors: Muller, K. E., & Peterson, B. L.
Affiliations: University of North Carolina at Chapel Hill (US)
Venue: Computational Statistics & Data Analysis
Publisher: Elsevier BV
Published: 1984-08
Volume: 2
Issue: 2
Pages: 143-158
ISSN: 0167-9473 (ISSN-L)
DOI: 10.1016/0167-9473(84)90002-1
OpenAlex: W2067813945
Cited by: 95
References: 49
Citations by year: 2026: 2 · 2025: 2 · 2023: 1 · 2022: 3 · 2021: 4 · 2020: 4 · 2019: 6 · 2018: 7 · 2017: 2 · 2016: 4 · 2015: 3 · 2014: 4 · 2013: 5 · 2012: 4
FWCI: 0.91
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Computational Statistics & Data Analysis (publishedVersion)
RePEc: Research Papers in Economics (submittedVersion)
Topics: Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
Physical Sciences › Mathematics › Statistics and Probability › Advanced Statistical Methods and Models
Physical Sciences › Mathematics › Statistics and Probability › Probability and Statistical Research
Keywords: statistical power, multivariate analysis of variance, Wilks' lambda, non-null distribution, asymptotic approximation, power analysis, experimental design

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