Count modelling in SAS : using PROC COUNTREG for truancy data /

Data in the social sciences often do not conform to what a researcher would like in order to have an unproblematic analysis using some form of linear regression. This case study discusses challenges that occurred when applying the models and examines the results. Finally, it looks at using the param...

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Bibliographic Details
Main Author:	Bowditch, Elise (Author)
Format:	eBook
Language:	English
Published:	[Los Angeles, California] : SAGE, 2015.
Series:	SAGE research methods. Cases.
Subjects:	Social sciences > Statistical methods > Case studies. School attendance > Research > Case studies. Sciences sociales > Méthodes statistiques > Études de cas. Fréquentation scolaire > Recherche > Études de cas. School attendance > Research Social sciences > Statistical methods Case studies
Online Access:	Connect to the full text of this electronic book

Description
Summary:	Data in the social sciences often do not conform to what a researcher would like in order to have an unproblematic analysis using some form of linear regression. This case study discusses challenges that occurred when applying the models and examines the results. Finally, it looks at using the parameters for 'what-if' modeling by changing the input data, a step that is often implied but not performed in analysis. The approach is not that of a statistician but a statistically informed social scientist using SAS to analyze the data.
Physical Description:	1 online resource
Bibliography:	Includes bibliographical references.
ISBN:	9781473962736 1473962730