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ERIC Number: EJ522261
Record Type: Journal
Publication Date: 1995
Pages: N/A
Abstractor: N/A
ISBN: N/A
ISSN: ISSN-0161-5440
EISSN: N/A
Analyzing Historical Count Data: Poisson and Negative Binomial Regression Models.
Beck, E. M.; Tolnay, Stewart E.
Historical Methods, v28 n3 p125-31 Sum 1995
Asserts that traditional approaches to multivariate analysis, including standard linear regression techniques, ignore the special character of count data. Explicates three suitable alternatives to standard regression techniques, a simple Poisson regression, a modified Poisson regression, and a negative binomial model. (MJP)
Descriptors: Data Interpretation, Evaluation Criteria, Higher Education, Multivariate Analysis, Probability, Regression (Statistics), Research Methodology, Research Problems, Social Science Research, Statistical Analysis, Statistical Bias, Statistical Distributions, Statistical Studies, Validity
Publication Type: Reports - Research; Journal Articles
Education Level: N/A
Audience: Teachers; Researchers; Practitioners
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A