Add to ORKGAn increasing number of R packages include nonparametric tests for the interaction in two-way factorial designs. This paper briefly describes the different methods of testing and reports the resulting p-values of such tests on datasets for four types of designs: between, within, mixed, and pretest-posttest designs. Potential users are advised only to apply tests they are quite familiar with and not be guided by p-values for selecting packages and tests.status: publishe
↵LARRY E. TOOTHAKER is David Ross Boyd Professor of Psychology at the University of Oklahoma, Norman...
The data generated by many factorial experiments are analyzed by linear regression models. Often the...
The R-package jmuOutlier, which contains functions for performing nonparametric statistical analyses...
An increasing number of R packages include nonparametric tests for the interaction in two-way factor...
Returns nonparametric aligned rank tests for the interaction in two-way factorial designs, on R data...
New rank tests for interactions in factorial designs are summarily presented and applied to some com...
Until recently the design of experiments in the behavioral and social sciences that focused on inter...
Correct application of the classical factorial F-test depends on normality and homogeneity of varian...
The two-way two-levels crossed factorial design is a commonly-used design by practitioners at the ex...
A novel presentation of rank and permutation tests, with accessible guidance to applications in R. N...
Investigations of multivariate population are pretty common in applied researches, and the two-way c...
Factorial experimental designs are a large family of experimental designs. Robust statistics has bee...
We show how to construct nonparametric tests for two factor designs. These tests depend on whether o...
Extensions of the Kruskal-Wallis procedure for a factorial design are reviewed and researched under ...
Factorial experimental designs are a large family of experimental designs. Robust statistics has bee...
↵LARRY E. TOOTHAKER is David Ross Boyd Professor of Psychology at the University of Oklahoma, Norman...
The data generated by many factorial experiments are analyzed by linear regression models. Often the...
The R-package jmuOutlier, which contains functions for performing nonparametric statistical analyses...
An increasing number of R packages include nonparametric tests for the interaction in two-way factor...
Returns nonparametric aligned rank tests for the interaction in two-way factorial designs, on R data...
New rank tests for interactions in factorial designs are summarily presented and applied to some com...
Until recently the design of experiments in the behavioral and social sciences that focused on inter...
Correct application of the classical factorial F-test depends on normality and homogeneity of varian...
The two-way two-levels crossed factorial design is a commonly-used design by practitioners at the ex...
A novel presentation of rank and permutation tests, with accessible guidance to applications in R. N...
Investigations of multivariate population are pretty common in applied researches, and the two-way c...
Factorial experimental designs are a large family of experimental designs. Robust statistics has bee...
We show how to construct nonparametric tests for two factor designs. These tests depend on whether o...
Extensions of the Kruskal-Wallis procedure for a factorial design are reviewed and researched under ...
Factorial experimental designs are a large family of experimental designs. Robust statistics has bee...
↵LARRY E. TOOTHAKER is David Ross Boyd Professor of Psychology at the University of Oklahoma, Norman...
The data generated by many factorial experiments are analyzed by linear regression models. Often the...
The R-package jmuOutlier, which contains functions for performing nonparametric statistical analyses...