1978
DOI: 10.1080/00949657808810197
|View full text |Cite
|
Sign up to set email alerts
|

The robustness of the two—samplet—test over the Pearson system

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
14
0
3

Year Published

1983
1983
2020
2020

Publication Types

Select...
5
5

Relationship

0
10

Authors

Journals

citations
Cited by 51 publications
(17 citation statements)
references
References 2 publications
0
14
0
3
Order By: Relevance
“…Because of the sample size in this study the reporting of results of the parametric tests, such as t -tests, is appropriate as they are robust to violation of normality as the sample size increases. 27–29 To adjust for relevant demographic and clinical variables we used multiple regression analyses. We fit seven multiple regression models.…”
Section: Methodsmentioning
confidence: 99%
“…Because of the sample size in this study the reporting of results of the parametric tests, such as t -tests, is appropriate as they are robust to violation of normality as the sample size increases. 27–29 To adjust for relevant demographic and clinical variables we used multiple regression analyses. We fit seven multiple regression models.…”
Section: Methodsmentioning
confidence: 99%
“…For small sample sizes, there are a few analytical studies (Efron 1969, Tan 1982) providing evidence of the t test's robustness to non-Normality, but the main evidence comes from simulations, e.g., Yuen and Dixon (1973), Yuen (1974), Murphy (1976), Posten (1978Posten ( , 1979, Tiku(1980), Gans(1981), TikuandSingh(1982. Several others are reviewed by Glass et al (1972).…”
Section: Parametric T Testsmentioning
confidence: 99%
“…Para checar os efeitos da escolaridade, a ANOVA foi utilizada para comparação entre as médias dos subgrupos superior incompleto, superior completo e pós-graduação. Ressalta-se que a escolha de testes paramétricos deu-se, apesar do efeito-teto nas respostas dos subtestes (que poderia ocasionar violação dos parâmetros de normalidade), pois sabe-se que, ainda assim, são robustos e produzem resultados fi dedignos (Boneau, 1960;Posten, 1978;Rasch & Guiard, 2004). Dado o caráter preliminar do estudo, uma análise de componentes principais também foi realizada, a fi m de identifi car os fatores latentes associados aos subtestes.…”
Section: Análise Estatística Dos Dadosunclassified