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The effects of missing time-varying ...

Bainter, Sierra A.

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The effects of missing time-varying covariates in multilevel models.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	The effects of missing time-varying covariates in multilevel models./
作者:	Bainter, Sierra A.
面頁冊數:	74 p.
附註:	Source: Masters Abstracts International, Volume: 51-06.
Contained By:	Masters Abstracts International51-06(E).
標題:	Psychology, Psychometrics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1538010
ISBN:	9781303104602

The effects of missing time-varying covariates in multilevel models.
Bainter, Sierra A.

The effects of missing time-varying covariates in multilevel models. - 74 p.

Source: Masters Abstracts International, Volume: 51-06.

Thesis (M.A.)--The University of North Carolina at Chapel Hill, 2013.

Multilevel models are commonly used in psychological research to examine developmentally-motivated hypotheses concerning the within- and between-person effects of a time-varying covariate on some outcome. Whereas multilevel models are flexible to accommodate incomplete data on the outcome, missing time-varying covariates present significant challenges to researchers. Unless multiple imputation is used, missing time-varying covariates will lead to a loss of data. This project evaluated the effects of missing time-varying covariates and imputation of missing time-varying covariates in multilevel models using a multifaceted simulation study. My results showed that missing time-varying covariates can lead to biased parameter estimates. However this bias is likely minor compared to bias already present in complete data due to unreliable estimates of the person-mean of the time-varying covariate. The results presented here are clear motivation for researchers to choose alternative estimation strategies that can account for measurement error in the person mean, whether or not time-varying covariates are missing.

ISBN: 9781303104602Subjects--Topical Terms:

1017742
Psychology, Psychometrics.

The effects of missing time-varying covariates in multilevel models.
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