The Effects of Serial Dependence on Polynomial Regression Models for Individual Growth Data [electronic resource] / John P. Burke and Janet Dixon Elashoff.

This paper provides a survey of models for the analysis of individual growth data emphasizing the problems posed by serial or time dependence in the application of polynomial regression models. The concepts of serial correlation and autoregressive models are illustrated. It is demonstrated that stan...

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Bibliographic Details

Online Access:	Full Text (via ERIC)
Main Author:	Burke, John P.
Corporate Authors:	Stanford University. School of Education, Stanford Center for Research and Development in Teaching
Other Authors:	Elashoff, Janet Dixon
Format:	Electronic eBook
Language:	English
Published:	[S.l.] : Distributed by ERIC Clearinghouse, 1971.
Subjects:	Data Analysis. Individual Development. Mathematical Models. Methods Research. Models. State of the Art Reviews. Statistical Analysis.