Accession Number : AD0607667
Title : CONFIGURAL ANALYSIS,
Corporate Author : WASHINGTON UNIV SEATTLE
Personal Author(s) : Wainwright,Gordon E.
Report Date : SEP 1964
Pagination or Media Count : 28
Abstract : The first section of this paper presents an explication of 'configuration' as it has come to be used in data analysis. In this section a gamut is run--from interaction in the analysis of variance, through factor analysis to general considerations of prediction. The main theme is the nonadditivity or non-linearity of configural information. In section II 'profile analysis' is discussed. There is no particular model associated with profile analysis. It is rather a general approach which has as its goal the separation of groups of similar individuals. Techniques which are frequently used are Q-technique factor analysis and discriminatory analysis. Of some interest is the use of the D measure of Cronbach and Gleser (1953) and 'agreement analysis' proposed by McQuitty (1956). Section III gives a more thorough definition of configural analysis. The configural scale and the polynomial function are given as the two main methods of tapping configural information. Section IV gives the relationship between the configural scale and the polynomial function following Horst (1964). The problem of ascertaining whether configural information is present in a sample of data is briefly discussed and two empirical investigations are cited.
Descriptors : (*FACTOR ANALYSIS, PSYCHOLOGICAL TESTS), (*PSYCHOLOGICAL TESTS, FACTOR ANALYSIS), PSYCHOLOGY, ANALYSIS OF VARIANCE, POLYNOMIALS, FUNCTIONS(MATHEMATICS), THEORY
Distribution Statement : APPROVED FOR PUBLIC RELEASE