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The gamma generalized linear model, log transformation, and the robust Yuen-Welch test for analyzing group means with skewed and heteroscedastic data

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dc.contributor.author Ng, Victoria K.
dc.contributor.author Cribbie, Robert A.
dc.date.accessioned 2018-04-13T16:23:52Z
dc.date.available 2018-04-13T16:23:52Z
dc.date.issued 2018-02-28
dc.identifier.citation Victoria K. Y. Ng & Robert A. Cribbie (2018): The gamma generalized linear model, log transformation, and the robust Yuen-Welch test for analyzing group means with skewed and heteroscedastic data, Communications in Statistics - Simulation and Computation, DOI: 10.1080/03610918.2018.1440301 en_US
dc.identifier.uri 10.1080/03610918.2018.1440301 en_US
dc.identifier.uri http://hdl.handle.net/10315/34452
dc.description.abstract Alternatives for positively skewed and heteroscedastic data include the Yuen-Welch (YW) test, data transformations, and the generalized linear model (GzLM). Because the GzLM is rarely considered in psychology compared to the other two, we compared these strategies conceptually and empirically. The YW test generally has satisfactory power, but its trimmed mean can deviate substantially from the arithmetic mean, which is often the desired parameter. The gamma GzLM can be used asa substitute for the log transformation and addresses the limitations in inference for the YW and data transformations. en_US
dc.description.sponsorship Social Sciences and Humanites Research Council of Canada en_US
dc.language.iso en en_US
dc.publisher Taylor & Francis en_US
dc.subject Generalized Linear Models, ANOVA, Yuen-Welch, Heteroscedasticity en_US
dc.title The gamma generalized linear model, log transformation, and the robust Yuen-Welch test for analyzing group means with skewed and heteroscedastic data en_US
dc.type Article en_US
dc.rights.article https://www.tandfonline.com/doi/pdf/10.1080/03610918.2018.1440301 en_US

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