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ERIC Number: ED464104
Record Type: Non-Journal
Publication Date: 2002-Apr
Pages: 30
Abstractor: N/A
Reference Count: N/A
ISBN: N/A
ISSN: N/A
Logistic Regression: Going beyond Point-and-Click.
King, Jason E.
A review of the literature reveals that important statistical algorithms and indices pertaining to logistic regression are being underused. This paper describes logistic regression in comparison with discriminant analysis and linear regression, and suggests that some techniques only accessible through computer syntax should be consulted in evaluating logistic regression models. A heuristic dataset is used throughout the study to make the discussion complete, and logistic regression concepts are linked to the interpretation of results from a sample dataset. Statistical Analysis System and Statistical Package for the Social Sciences syntax files are provided for all the analyses described. The comparison shows the utility of logistic regression and the conditions under which it is more robust. Four appendixes contain the statistical package syntax examples. (Contains 4 tables, 4 figures, 6 endnotes, and 35 references.) (Author/SLD)
Publication Type: Reports - Descriptive; Speeches/Meeting Papers
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A