A more realistic look at the robustness and Type II error properties of the t test to departures from population normality
Bibliographic Data
| ID | 4423233 |
|---|---|
| Authors | Shlomo S Sawilowsky (Wayne State College), R Clifford Blair (University of South Florida) |
| Year | 1992 |
| Volume | 111 |
| Issue | 2 |
| Pages | 352-360 |
| Publication date | 1992-03-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Psychological Bulletin (JOURNAL) |
| Journal identifiers | ISSN: 0033-2909 • E-ISSN: 1939-1455 |
| Publisher | American Psychological Association (APA) (PUBLISHER) |
| DOI | 10.1037/0033-2909.111.2.352 |
| OpenAlex | W2027615005, W4255200752 |
| Language | EN |
| Citations received | 29 |
| References cited | 4 |
The Type I and II error properties of the t test were evaluated by means of a Monte Carlo study that sampled 8 real distribution shapes identified by Micceri (1986, 1989) as being representative of types encountered in psychology and education research
Econometrics · Estimator · Normality · Normality test · Population · Population mean · Robustness (evolution) · Statistical hypothesis testing · Statistics · Test (biology) · Type I and type II errors · Advanced Statistical Methods and Models · Applied Mathematics · Chemistry · Demography · Diverse Academic Research Areas · Mathematics · Medicine · Psychology · Statistical Methods and Bayesian Inference · Statistical Methods and Inference · Statistical Methods in Clinical Trials
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| Citations per year | 1.03 |
|---|---|
| Citation span | 1995 - 2026 (32) |
| Highly cited | No |