The robustness of parametric statistical methods
275 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/1116c7c8deda9f123d0b14589f2efe5e548d7330
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Sara Hatami
- J. Neuhaus
- Charles E. McCulloch
- Carlos Andrés-Romano
- Rubén Ruiz
- K. Moder
- Klaus D. Kubinger
- Haohan Wang
Citations in the corpus
- The two-sample t test: pre-testing its assumptions does not pay off (2011, methodology): “As a pre-test of normality, we use the Kolmogorov–Smirnov-test (Kolmogorov 1933; Smirnov 1939) and as a pre-test of variance homogeneity the Levene-test (Levene 1960; this because according to Rasch and Guiard 2004 , t heF test is very sensitive against non-normality and has already been replaced i”
- Five-Point Likert Items: t test versus Mann-Whitney-Wilcoxon ( Addendum added October 2012 ) (2010, unknown): “…Assessment, Research & Evaluation, Vol 15, No 11 Page 2 de Winter and Dodou, Likert Items Heeren & D’Agostino, 1987; Posten, Yeh, & Owen, 1982; Rasch & Guiard, 2004, Sawilowsky & Blair, 1992; Sawilowsky & Hillman, 1992; Stonehouse & Forrester, 1998; Sullivan & D’Agostino, 1992; Wetherill,…”
- Misspecifying the Shape of a Random Effects Distribution: Why Getting It Wrong May Not Matter (2011, methodology): “While the two-group t-test is well known to be highly robust (e.g., Rasch and Guiard, 2004), it is not impervious to non-normality and demonstrates loss of efficiency in this extreme violation of the normality assumption.”
- Five-Point Likert Items: t test versus Mann-Whitney-Wilcoxon (2010, unknown): “…Assessment, Research & Evaluation, Vol 15, No 11 Page 2 de Winter and Dodou, Likert Items Heeren & D’Agostino, 1987; Posten, Yeh, & Owen, 1982; Rasch & Guiard, 2004, Sawilowsky & Blair, 1992; Sawilowsky & Hillman, 1992; Stonehouse & Forrester, 1998; Sullivan & D’Agostino, 1992; Wetherill,…”
- The Distributed Assembly Permutation Flowshop Scheduling Problem (2013, result): “While a slightly strong tailed normal distribution of the residuals is observed, residuals are clearly homoscedastic and independent, and according to the recent results of Basso, Chiarandini, and Salmaso (2007) and Rasch and Guiard (2004), this is not a major problem.”