منابع مشابه
Sample Size Considerations for Multiple Comparison Procedures in ANOVA
Adequate sample sizes for omnibus ANOVA tests do not necessarily provide sufficient statistical power for post hoc multiple comparisons typically performed following a significant omnibus F test. Results reported support a comparison-of-most-interest approach for sample size determination in ANOVA based on effect sizes for multiple comparisons. Introduction The determination of an appropriate s...
متن کاملComparing two testing procedures in unbalanced two-way ANOVA models under heteroscedasticity: Approximate degree of freedom and parametric bootstrap approach
The classic F-test is usually used for testing the effects of factors in homoscedastic two-way ANOVA models. However, the assumption of equal cell variances is usually violated in practice. In recent years, several test procedures have been proposed for testing the effects of factors. In this paper, the two methods that are approximate degree of freedom (ADF) and parametric bootstr...
متن کاملComparing the Student ' s t and the ANOVA contrast procedure with five alternative procedures
A robustness study to investigate the performance of six procedures for comparing two or more groups, under several circumstances, has been carried out. The study was divided in four parts. The first three were Monte-Carlo studies, and the fourth was a study on empirical data. The six procedures were the ANOVA (or its special case, the Student's t) procedure (1), the Satterthwaite (or its speci...
متن کاملMultiple comparison procedures for simple one-way ANOVA with dependent data.
The independence assumption, although reasonable when examining cross-sectional data using single-factor experimental designs, is seldom verified by investigators. A Monte Carlo type simulation experiment was designed to examine the relationship between true Types I and II error probabilities in six multiple comparison procedures. Various aspects, such as patterns of means, types of hypotheses,...
متن کاملType I Error Rates and Power of Multiple Hypothesis Testing Procedures in Factorial ANOVA
There are numerous General Linear Model (GLM) statistical designs that may require multiple hypothesis testing (MHT) procedures that control the Type I error inflation that occurs with multiple tests. This study investigated familywise error rates (FWER) and statistical power rates of several alpha-adjustment MHT procedures in factorial ANOVA, but results apply broadly to GLM procedures. Of fou...
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ژورنال
عنوان ژورنال: The Journal of Agriculture of the University of Puerto Rico
سال: 1969
ISSN: 2308-1759,0041-994X
DOI: 10.46429/jaupr.v66i4.7681