Journal ArticleDOI
A Monte Carlo Test of the Robustness of Parametric and Nonparametric Analysis of Covariance Against Unequal Regression Slopes
TLDR
The power of parametric ANCOVA was compared with the power of three nonparametric techniques both when the parametric assumption of equal slopes was violated and when all parametric assumptions were met as discussed by the authors.Abstract:
The power of parametric ANCOVA was compared with the power of three nonparametric ANCOVA techniques both when the parametric assumption of equal slopes was violated and when all parametric assumptions were met. The data situations involved two groups with one covariate and one criterion, normal distributions, equal group sizes, and varying slope combinations. Parametric ANCOVA maintained larger empirical power for nearly all of the data situations. Both parametric and nonparametric techniques appeared not to be robust when violation of the parametric assumption of equal slopes was coupled with unequal group sizes and distributions were normal.read more
Citations
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Journal ArticleDOI
Analysis of covariance using the rank transformation.
TL;DR: In this paper the rank transformation approach to analysis of covariance is presented and examined and some 'standard' data sets are used to compare the results of these two procedures.
Journal ArticleDOI
Comparing nonparallel regression lines.
TL;DR: In this paper, a comprehensive strategy for the statistical comparison of within-group regressions that is suitable for both parallel and non-parallel regression lines is presented, and new interpretations are formulated for standard statistical procedures such as analysis.
Journal ArticleDOI
Parametric ancova and the rank transform ancova when the data are conditionally non-normal and heteroscedastic
Stephen Olejnik,James Algina +1 more
TL;DR: In this paper, the authors compared the performance of parametric analysis of covariance and rank ANCOVA in terms of the proportion of Type I errors made and statistical power when the conditional distribution of errors was normal and homoscedastic.
Journal ArticleDOI
Robustness and power of analysis of covariance applied to ordinal scaled data as arising in randomized controlled trials.
TL;DR: The robustness and power of various versions of parametric analysis of covariance applied to small samples of ordinal scaled data are investigated through computer simulation and the hierarchical approach which first tests for homogeneity of regression slopes and then fits separate slopes if there is significant non-homogeneity produced significance levels that exceeded the nominal levels.
Journal ArticleDOI
The comparative effectiveness of Integrated treatment for Substance abuse and Partner violence (I-StoP) and substance abuse treatment alone: a randomized controlled trial
TL;DR: Both I-StoP and CBT-SUD+ were effective in reducing substance use and IPV perpetration among patients in substance abuse treatment who repeatedly committed IPV and self-disclosed IPv perpetration.
References
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Book
Nonparametric statistics for the behavioral sciences
TL;DR: This is the revision of the classic text in the field, adding two new chapters and thoroughly updating all others as discussed by the authors, and the original structure is retained, and the book continues to serve as a combined text/reference.
Journal ArticleDOI
Rank Analysis of Covariance
TL;DR: In this article, the problem of comparing two or more populations with respect to a response variable Y in the presence of a (possibly multivariate) concomitant variable X is discussed.
Journal ArticleDOI
Some Empirical Results Concerning the Power of Bartlett’s Test of the Significance of a Correlation Matrix
TL;DR: In this paper, the significance of a sample correlation matrix was investigated and the power of such a test was investigated, and it was concluded that the power is reasonably high against normally correlated alternatives.
Journal ArticleDOI
Analysis of Covariance Based on General Rank Scores
Madan L. Puri,Pranab Kumar Sen +1 more
TL;DR: In this paper, a class of rank order tests for the equality of treatment effects in the presence of a set of concomitant variates for the analysis of covariance (ANOCA) model relating to completely randomized layouts is developed.
Journal ArticleDOI
An Empirical Investigation of the Effects of Heterogeneous Regression Slopes in Analysis of Covariance
TL;DR: In this article, the effects of violation of the assumption of homogeneity of regression on the Type I error rate and on the power of analysis of covariance (ANCOVA) were investigated.