Sample Size Considerations for Multiple Comparison Procedures in ANOVA
نویسندگان
چکیده
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 کاملConstrained statistical inference: sample-size tables for ANOVA and regression
Researchers in the social and behavioral sciences often have clear expectations about the order/direction of the parameters in their statistical model. For example, a researcher might expect that regression coefficient β1 is larger than β2 and β3. The corresponding hypothesis is H: β1 > {β2, β3} and this is known as an (order) constrained hypothesis. A major advantage of testing such a hypothes...
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 کاملSample Size Problems in Anova : Bayesian Point of View
In this paper we discuss the sample size problem for balanced one way ANOVA under a posterior Bayesian formulation of the problem. Using the distribution theory of appropriate quadratic forms we derive explicit sample sizes for prespeci ed posterior precisions. Comparisons with classical sample sizes are made. Instead of extensive tables, a mathematica program for sample size calculation is giv...
متن کاملSample Size Considerations for Multilevel Surveys
Social and economic data commonly have a nested structure (for example, households nested within neighborhoods). Recently techniques and computer programs have become available for dealing with such data, permitting the formulation of explicit multilevel models with hypotheses about e¤ects occurring at each level and across levels. If data users are planning to analyze survey data using hierarc...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Modern Applied Statistical Methods
سال: 2011
ISSN: 1538-9472
DOI: 10.22237/jmasm/1304222940