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Proger, Barton B.; And Others – 1972
Many researchers assume that unequal cell frequencies in analysis of variance (ANOVA) designs result from poor planning. However, there are several valid reasons why one might have to analyze an unequal-n data matrix. The present study reviewed four categories of methods for treating unequal-n matrices by ANOVA: (a) unaltered data (least-squares…
Descriptors: Analysis of Variance, Citations (References), Data Analysis, Educational Research
Hakstian, A. Ralph; Boyd, William M. – 1970
The results of an investigation into some special cases of the general "orthomax" formulation are presented. In particular, the effects of manipulating a parameter in this formulation on various aspects of factor solutions are identified through the use of four sets of data, varying considerably in size, and reliability and factorial complexity of…
Descriptors: Analysis of Variance, Data Analysis, Factor Analysis, Interaction
Jenkins, W. O. – 1967
This paper is an ardent plea for simplifying experimental design and the associated statistics. The emphasis is on design itself. Traditional designs from simple to complex and reviewed and the simplest, most basic ways of handling the data are presented. Design is stressed in such a way that simple statistics follow. The intactness of…
Descriptors: Analysis of Covariance, Analysis of Variance, Behavioral Science Research, Correlation
Hines, Brainard W. – 1971
The language skills category of objectives of the Appalachia Preschool Education Program as measured by the Illinois Test of Psycholinguistic Abilities (ITPA), is discussed. The point is made that one of the difficulties associated with evaluating language development is the loose fit between available theoretical and operational definitions of…
Descriptors: Analysis of Variance, Course Objectives, Curriculum Design, Data Analysis