HomeMethodologyVol. 13, No. 1 Previous article Next article Original ArticlePower of Modified Brown-Forsythe and Mixed-Model Approaches in Split-Plot DesignsPablo Livacic-Rojas, Guillermo Vallejo, Paula Fernández, and Ellián Tuero-HerreroPablo Livacic-Rojas Universidad de Santiago de Chile, Chile Search for more papers by this author, Guillermo Vallejo Universidad de Oviedo, Spain Search for more papers by this author, Paula Fernández Universidad de Oviedo, Spain Search for more papers by this author, and Ellián Tuero-Herrero Universidad de Oviedo, Spain Search for more papers by this authorPublished Online:March 22, 2017https://doi.org/10.1027/1614-2241/a000124PDFView Full TextSupplemental MaterialAbstract ToolsAdd to favoritesDownload CitationsTrack Citations Cite ShareShare onFacebookTwitterLinkedInRedditE-Mail SectionsMoreSupplemental Material1614-2241_a000124_esm1.pdf (433 KB)FiguresReferencesRelatedDetailsCited byPollinizer Potentials of Reciprocally Crossed Summer Apple Varieties by Using ANOVA and Resampling Based MANOVA18 December 2023 | Applied Fruit Science, Vol. 66, No. 1Sample size estimation for heterogeneous growth curve models with attrition22 June 2018 | Behavior Research Methods, Vol. 51, No. 3 Volume 13Issue 1January 2017ISSN: 1614-1881eISSN: 1614-2241 HistoryReceivedJuly 24, 2014RevisedNovember 20, 2015AcceptedApril 15, 2016Published onlineMarch 22, 2017 Licenses & Copyright© 2017Hogrefe PublishingKeywordsstatistical powermodified Brown ForsytheMixed Linear Model and split-plot designsAcknowledgments:This research was funded by the Chilean National Fund for Scientific and Technological Development (FONDECYT. Ref.: 1120271) and the Spanish Ministry of Economy and Competitiveness (Grants PSI-2011-23395 and PSI2015-6730-P).PDF download