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ERIC Number: EJ1137734
Record Type: Journal
Publication Date: 2017
Pages: 23
Abstractor: As Provided
ISSN: ISSN-0022-0973
Accounting for the Relationship between Initial Status and Growth in Regression Models
Kelly, Sean; Ye, Feifei
Journal of Experimental Education, v85 n3 p353-375 2017
Educational analysts studying achievement and other educational outcomes frequently encounter an association between initial status and growth, which has important implications for the analysis of covariate effects, including group differences in growth. As explicated by Allison (1990), where only two time points of data are available, identifying a preferred model can be difficult or impossible. In this paper we extend Allison's inquiry by considering multiple sources of the association between initial status and growth simultaneously, including measurement error but also intrinsic associations between initial status and growth. We illustrate the potential trade-offs between the change-score model specifications (models without a control for initial status) and regressor-variable specifications (with a control for initial status) using simulated data.
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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