This paper uses simulation to explore the performance of a two-stage procedure where a preliminary Shapiro-Wilk test is used to choose between the ANOVA and Kruskal-Wallis tests as a three-sample location test. The results suggest that the two-stage procedure actually seems to be preferable when conducting such location tests
We study the empirical size and power of some recently proposed tests for multivariate normality (MV...
The Normal distribution remains the most widely-used statistical model, so it is only natural that r...
The importance of checking the normality assumption in most statistical procedures especially parame...
This paper uses simulation to explore the performance of a two-stage procedure where a preliminary S...
This paper uses simulation to explore the performance of a two-stage procedure where a preliminary S...
In this journal, Zimmerman (2004, 2011) has discussed preliminary tests that researchers often use t...
In this journal, Zimmerman (2004, 2011) has discussed preliminary tests that researchers often use t...
In quantitative research, the selection of the most appropriate statistical test for the comparison ...
In quantitative research, the selection of the most appropriate statistical test for the comparison ...
This paper explores the appropriateness of testing the equality of two means using either a t test, ...
A complex survey design (e.g., two-stage cluster sampling design) induces complex correlation struct...
A complex survey design (e.g., two-stage cluster sampling design) induces complex correlation struct...
A complex survey design (e.g., two-stage cluster sampling design) induces complex correlation struct...
The present research compares the ANOVA F-test, the Kruskal-Wallis test, and the normal scores test ...
A common assumption of many statistical procedures during data analysis is that the data is normally...
We study the empirical size and power of some recently proposed tests for multivariate normality (MV...
The Normal distribution remains the most widely-used statistical model, so it is only natural that r...
The importance of checking the normality assumption in most statistical procedures especially parame...
This paper uses simulation to explore the performance of a two-stage procedure where a preliminary S...
This paper uses simulation to explore the performance of a two-stage procedure where a preliminary S...
In this journal, Zimmerman (2004, 2011) has discussed preliminary tests that researchers often use t...
In this journal, Zimmerman (2004, 2011) has discussed preliminary tests that researchers often use t...
In quantitative research, the selection of the most appropriate statistical test for the comparison ...
In quantitative research, the selection of the most appropriate statistical test for the comparison ...
This paper explores the appropriateness of testing the equality of two means using either a t test, ...
A complex survey design (e.g., two-stage cluster sampling design) induces complex correlation struct...
A complex survey design (e.g., two-stage cluster sampling design) induces complex correlation struct...
A complex survey design (e.g., two-stage cluster sampling design) induces complex correlation struct...
The present research compares the ANOVA F-test, the Kruskal-Wallis test, and the normal scores test ...
A common assumption of many statistical procedures during data analysis is that the data is normally...
We study the empirical size and power of some recently proposed tests for multivariate normality (MV...
The Normal distribution remains the most widely-used statistical model, so it is only natural that r...
The importance of checking the normality assumption in most statistical procedures especially parame...