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Univariate latent variable approache...

Mutch, Christopher.

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Univariate latent variable approaches to the analysis of longitudinal data.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Univariate latent variable approaches to the analysis of longitudinal data./
作者:	Mutch, Christopher.
面頁冊數:	280 p.
附註:	Source: Dissertation Abstracts International, Volume: 65-06, Section: B, page: 3217.
Contained By:	Dissertation Abstracts International65-06B.
標題:	Psychology, Psychometrics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3135442
ISBN:	0496826662

Univariate latent variable approaches to the analysis of longitudinal data.
Mutch, Christopher.

Univariate latent variable approaches to the analysis of longitudinal data. - 280 p.

Source: Dissertation Abstracts International, Volume: 65-06, Section: B, page: 3217.

Thesis (Ph.D.)--Bowling Green State University, 2004.

In this manuscript, some of the pertinent theoretical and psychometric issues surrounding the modeling of change over time have been explicated. Specifically, issues of interest to longitudinal researchers in the social sciences, such as the assessment of the stability of attributes and the distinction between states and traits, have been discussed. Statistical models for the measurement and analysis of longitudinal data were then built around the framework of the longitudinal true score model and linked to the aforementioned theoretical issues. A series of empirical examples have also been provided to illustrate the various longitudinal statistical models and the central concepts and issues. Finally, by presenting a broad variety of longitudinal models under the same general framework and in one manuscript, it is hoped that the similarities and differences, along with the relative merits and weakness of these models have been illuminated.

ISBN: 0496826662Subjects--Topical Terms:

1017742
Psychology, Psychometrics.

Univariate latent variable approaches to the analysis of longitudinal data.
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520 $a In this manuscript, some of the pertinent theoretical and psychometric issues surrounding the modeling of change over time have been explicated. Specifically, issues of interest to longitudinal researchers in the social sciences, such as the assessment of the stability of attributes and the distinction between states and traits, have been discussed. Statistical models for the measurement and analysis of longitudinal data were then built around the framework of the longitudinal true score model and linked to the aforementioned theoretical issues. A series of empirical examples have also been provided to illustrate the various longitudinal statistical models and the central concepts and issues. Finally, by presenting a broad variety of longitudinal models under the same general framework and in one manuscript, it is hoped that the similarities and differences, along with the relative merits and weakness of these models have been illuminated.
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