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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.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	The effects of different methods of handling missing values for the computation of internal consistency reliability./
Author:	Betts, Joseph E.
Description:	139 p.
Notes:	Advisers: Jim Ysseldyke; Michael Rodriguez.
Contained By:	Dissertation Abstracts International67-02B.
Subject:	Psychology, Psychometrics. -
Online resource:	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.
LDR:02145nam 2200289 a 45 001 968794
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008 110921s2006 eng d
020 $a 9780542561740
035 $a (UnM)AAI3207656
035 $a AAI3207656
040 $a UnM $c UnM
100 1 $a Betts, Joseph E. $3 1292852
245 1 4 $a The effects of different methods of handling missing values for the computation of internal consistency reliability.
300 $a 139 p.
500 $a Advisers: Jim Ysseldyke; Michael Rodriguez.
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.
590 $a School code: 0130.
650 4 $a Psychology, Psychometrics. $3 1017742
650 4 $a Statistics. $3 517247
690 $a 0463
690 $a 0632
710 2 0 $a University of Minnesota. $3 676231
773 0 $t Dissertation Abstracts International $g 67-02B.
790 $a 0130
790 1 0 $a Rodriguez, Michael, $e advisor
790 1 0 $a Ysseldyke, Jim, $e advisor
791 $a Ph.D.
792 $a 2006
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3207656