Ordinary Least Squares Regression, Discriminant Analysis, and Logistic Regression: Questions Researchers and Practitioners Should Address When Selecting an Analytic Technique.Reportar como inadecuado




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The purpose of this paper is to assist researchers, practitioners, and graduate students in identifying and addressing key questions related to the task of choosing among the analytic techniques designed to analyze a dichotomized dependent variable with a set of independent variables. The discussion is limited to (1) the analysis of data by the analytic procedures of ordinary least squares regression, discriminant analysis, or logistic regression; (2) the use of the Statistical Package for the Social Sciences (registered) computer software; and (3) a dependent variable consisting of two groups. The paper states that researchers need to address the adequacy of each technique with respect to two basic questions. What impact do possible violations of underlying assumptions have on the results? Does a given technique readily produce the type of information required to address the research question. An analysis of a data set is provided to illustrate how addressing these issues can assist in the selection process. (Contains 2 tables and 23 references.) (Author)

Descriptors: Discriminant Analysis, Least Squares Statistics, Regression (Statistics), Research Methodology, Selection











Autor: Fraas, John W.; Newman, Isadore

Fuente: https://eric.ed.gov/?q=a&ft=on&ff1=dtySince_1992&pg=4781&id=ED475146







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