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Автор Toothaker, Larry E.
Автор Banz, Martha
Автор Noble, Cindy
Автор Camp, Jill
Автор Davis, Diana
Дата выпуска 1983
dc.description Several methods have been proposed for the analysis of data from single-subject research settings. This research focuses on the modifications of ANOVA-based tests proposed by Shine and Bower, a procedure that precedes the ANOVAF test by preliminary testing of within-phase lag one serial correlation and the one-way ANOVA as presented by Gentile, Roden and Klein. Monte Carlo simulation is used to investigate these tests with respect to robustness and power. Each test was analyzed under various patterns of serial correlation, various patterns of phase and trial means, normal and exponential distributions, and equal and unequal phase variances. The findings indicate that the probability of a Type I error for these ANOVA-based tests is seriously inflated by nonzero serial correlation. These tests, therefore, cannot be recommended for use with data that have nonzero serial correlation.
Издатель Sage Publications
Тема N = 1 Designs
Тема ANOVA-based tests
Тема serial correlation
Тема robustness
Название N = 1 Designs: The Failure of ANOVA-Based Tests
Тип Research Article
DOI 10.3102/10769986008004289
Print ISSN 1076-9986
Журнал Journal of Educational Statistics
Том 8
Первая страница 289
Последняя страница 309
Аффилиация Toothaker, Larry E., The University of Oklahoma
Аффилиация Banz, Martha, The University of Oklahoma
Аффилиация Noble, Cindy, The University of Oklahoma
Аффилиация Camp, Jill, The University of Oklahoma
Аффилиация Davis, Diana, The University of Oklahoma
Выпуск 4
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