Testing for interactions in multivariate experiments is an important function. Studies indicate that much data from social studies research is not normally distributed, thus violating that assumption of the AN OVA procedure. The aligned rank transformation test (ART), aligning using the means of columns and rows, has been found, in limited situations, to be robust to Type I error rates and to have greater power than the ANOVA. This study explored a variety of alignments, including the median, Winsorized trimmed means (10%) and (20%), the Huber1.28 M-estimator, and the Harrell-Davis estimator of the median. Results are reported for Type I errors and power
The ANOVA F is a widely used statistic in psychological research despite its shortcomings when the a...
The aligned rank transform (ART) technique for testing linear hypotheses and performing multiple com...
We modify the nonparametric method of Brunner, Dette and Munk (1997) by applying their method to the...
Recent work has shown that the rank transform methodology is flawed when applied to multifactor desi...
Data simulation was used to investigate whether tests performed on aligned ranks (Beasley, 2002) cou...
For two-way layouts in a between subjects anova design the aligned rank transform (ART) is compared ...
In practice the forms of the underlying distributions are very seldom known or there may be distinct...
Research problems that require a non-parametric analysis of multifactor designs with repeated measur...
Research problems that require a non-parametric analysis of multifactor designs with repeated measur...
New rank tests for interactions in factorial designs are summarily presented and applied to some com...
Data simulation was used to investigate whether tests performed on aligned ranks (Beasley, 2002) cou...
In situations when analysis of variance procedures are utilized, it is generally thought important t...
A procedure is studied that uses rank-transformed data to perform exact and estimated exact tests, w...
Three aligned rank methods for transforming data from multiple group repeated measures (split-plot) ...
The ANOVA F is a widely used statistic in psychological research despite its shortcomings when the a...
The ANOVA F is a widely used statistic in psychological research despite its shortcomings when the a...
The aligned rank transform (ART) technique for testing linear hypotheses and performing multiple com...
We modify the nonparametric method of Brunner, Dette and Munk (1997) by applying their method to the...
Recent work has shown that the rank transform methodology is flawed when applied to multifactor desi...
Data simulation was used to investigate whether tests performed on aligned ranks (Beasley, 2002) cou...
For two-way layouts in a between subjects anova design the aligned rank transform (ART) is compared ...
In practice the forms of the underlying distributions are very seldom known or there may be distinct...
Research problems that require a non-parametric analysis of multifactor designs with repeated measur...
Research problems that require a non-parametric analysis of multifactor designs with repeated measur...
New rank tests for interactions in factorial designs are summarily presented and applied to some com...
Data simulation was used to investigate whether tests performed on aligned ranks (Beasley, 2002) cou...
In situations when analysis of variance procedures are utilized, it is generally thought important t...
A procedure is studied that uses rank-transformed data to perform exact and estimated exact tests, w...
Three aligned rank methods for transforming data from multiple group repeated measures (split-plot) ...
The ANOVA F is a widely used statistic in psychological research despite its shortcomings when the a...
The ANOVA F is a widely used statistic in psychological research despite its shortcomings when the a...
The aligned rank transform (ART) technique for testing linear hypotheses and performing multiple com...
We modify the nonparametric method of Brunner, Dette and Munk (1997) by applying their method to the...