Robustness of Statistical Methods and Nonparametric Statistics 1984
DOI: 10.1007/978-94-009-6528-7_23
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Robustness of the Two-Sample T-Test

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Cited by 72 publications
(38 citation statements)
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“…Before carrying out the ANCOVA, we tested a number of analytic assumptions, including data normality, homogeneity of variance, linearity of the covariate and the dependent variables, and homogeneity of regression slopes (Keselman et al, 1998). Our tests of assumptions showed a violation of homogeneity of variance (F = 23.58, p < .001), but given that ANCOVA is a robust type of analysis with respect to this assumption and our large sample size (Posten, 1984;Ramsey, 1980), it was clear that the observed variance differences would not interfere with the analysis. All other tests indicated that remaining assumptions had not been violated.…”
Section: Research Question 1: How Does Peer Feedback Compare With Tramentioning
confidence: 99%
“…Before carrying out the ANCOVA, we tested a number of analytic assumptions, including data normality, homogeneity of variance, linearity of the covariate and the dependent variables, and homogeneity of regression slopes (Keselman et al, 1998). Our tests of assumptions showed a violation of homogeneity of variance (F = 23.58, p < .001), but given that ANCOVA is a robust type of analysis with respect to this assumption and our large sample size (Posten, 1984;Ramsey, 1980), it was clear that the observed variance differences would not interfere with the analysis. All other tests indicated that remaining assumptions had not been violated.…”
Section: Research Question 1: How Does Peer Feedback Compare With Tramentioning
confidence: 99%
“…The effect of non-normal distributions has been investigated in many studies (e.g., F statistic: Gayen 1950; t statistic: Boneau 1960, Ratcliffe 1968, Posten 1984Q statistic: Ramseyer andTcheng 1973, Brown 1974). It would appear that, if sample sizes and variances are close to equal, only severe non-normality (e.g., bimodal distributions or extreme skewness) or the presence of outliers is a problem for parametric one-way ANOV As and UMCPs.…”
Section: Assumptionsmentioning
confidence: 99%
“…skew was <2.0 and kurtosis <9.0). 17 A P-value <0.05 (two-tailed) was considered significant. Data were analysed using SPSS version 20 (SPSS Inc., Chicago, IL, USA).…”
Section: Discussionmentioning
confidence: 99%