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ERIC Number: EJ1090064
Record Type: Journal
Publication Date: 2016-Feb
Pages: 18
Abstractor: As Provided
ISBN: N/A
ISSN: EISSN-1531-7714
EISSN: N/A
Tutorial on Using Regression Models with Count Outcomes Using R
Beaujean, A. Alexander; Morgan, Grant B.
Practical Assessment, Research & Evaluation, v21 n2 Feb 2016
Education researchers often study count variables, such as times a student reached a goal, discipline referrals, and absences. Most researchers that study these variables use typical regression methods (i.e., ordinary least-squares) either with or without transforming the count variables. In either case, using typical regression for count data can produce parameter estimates that are biased, thus diminishing any inferences made from such data. As count-variable regression models are seldom taught in training programs, we present a tutorial to help educational researchers use such methods in their own research. We demonstrate analyzing and interpreting count data using Poisson, negative binomial, zero-inflated Poisson, and zero-inflated negative binomial regression models. The count regression methods are introduced through an example using the number of times students skipped class. The data for this example are freely available and the "R" syntax used run the example analyses are included in the Appendix.
Center for Educational Assessment. 813 North Pleasant Street, Amherst, MA 01002. e-mail: pare@umass.edu; Tel: 413-577-2180; Web site: https://scholarworks.umass.edu/pare
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A