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The effects of different methods of ...

Betts, Joseph E.

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The effects of different methods of handling missing values for the computation of internal consistency reliability.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	The effects of different methods of handling missing values for the computation of internal consistency reliability./
作者:	Betts, Joseph E.
面頁冊數:	139 p.
附註:	Advisers: Jim Ysseldyke; Michael Rodriguez.
Contained By:	Dissertation Abstracts International67-02B.
標題:	Psychology, Psychometrics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3207656
ISBN:	9780542561740

The effects of different methods of handling missing values for the computation of internal consistency reliability.
Betts, Joseph E.

The effects of different methods of handling missing values for the computation of internal consistency reliability. - 139 p.

Advisers: Jim Ysseldyke; Michael Rodriguez.

Thesis (Ph.D.)--University of Minnesota, 2006.

This paper explores the different methods of dealing with missing values when computing internal consistency reliability in the form of Cronbach's coefficient alpha. This is an important area in educational and psychological research due to the ubiquitous phenomenon of missing data when obtaining measurements in the form of surveys or tests of ability from samples. Much of the present research in the development of missing data techniques has not involved their utilization in the computation of internal consistency reliability. Listwise deletion, replacement with zero, person mean imputation, regression imputation and maximum likelihood methods for imputing missing data were used in two studies. In one study we use dichotomous items while the other will use polytomous items since these are the two general types of items used in tests and surveys used extensively in educational and psychological research. The factors used in this study will be percent missing data and underlying mechanisms of missing. Results indicated that the regression imputation methods provided the best method for computing coefficient alpha in the presence of missing data.

ISBN: 9780542561740Subjects--Topical Terms:

1017742
Psychology, Psychometrics.

The effects of different methods of handling missing values for the computation of internal consistency reliability.
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500 $a Source: Dissertation Abstracts International, Volume: 67-02, Section: B, page: 1198.
502 $a Thesis (Ph.D.)--University of Minnesota, 2006.
520 $a This paper explores the different methods of dealing with missing values when computing internal consistency reliability in the form of Cronbach's coefficient alpha. This is an important area in educational and psychological research due to the ubiquitous phenomenon of missing data when obtaining measurements in the form of surveys or tests of ability from samples. Much of the present research in the development of missing data techniques has not involved their utilization in the computation of internal consistency reliability. Listwise deletion, replacement with zero, person mean imputation, regression imputation and maximum likelihood methods for imputing missing data were used in two studies. In one study we use dichotomous items while the other will use polytomous items since these are the two general types of items used in tests and surveys used extensively in educational and psychological research. The factors used in this study will be percent missing data and underlying mechanisms of missing. Results indicated that the regression imputation methods provided the best method for computing coefficient alpha in the presence of missing data.
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