ERIC - Search Results

Descriptor

Data Interpretation	1
Evaluation Criteria	1
Higher Education	1
Multivariate Analysis	1
Probability	1
Regression (Statistics)	1
Research Methodology	1
Research Problems	1
Social Science Research	1
Statistical Analysis	1
Statistical Bias	1
Statistical Distributions	1
Statistical Studies	1
Validity	1
More ▼

Source

Historical Methods

Author

Beck, E. M.	1
Tolnay, Stewart E.	1

Publication Type

Journal Articles	1
Reports - Research	1

Education Level

Audience

Practitioners	1
Researchers	1
Teachers	1

Location

Laws, Policies, & Programs

Assessments and Surveys

What Works Clearinghouse Rating

Showing one result Save | Export

Analyzing Historical Count Data: Poisson and Negative Binomial Regression Models.

Peer reviewed

Beck, E. M.; Tolnay, Stewart E. – Historical Methods, 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