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Measurement issues in determining in...

Vincent, Andrea Harrell.

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Measurement issues in determining interrater agreement.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Measurement issues in determining interrater agreement./
作者:	Vincent, Andrea Harrell.
面頁冊數:	85 p.
附註:	Major Professor: Robert Terry.
Contained By:	Dissertation Abstracts International63-03B.
標題:	Psychology, Psychometrics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3045846
ISBN:	0493599541

Measurement issues in determining interrater agreement.
Vincent, Andrea Harrell.

Measurement issues in determining interrater agreement. - 85 p.

Major Professor: Robert Terry.

Thesis (Ph.D.)--The University of Oklahoma, 2002.

Multiple indices have been proposed claiming to measure the amount of agreement between ratings of two or more judges on a multi-item measure. Unfortunately, simulation work based on these indices is lacking; thus we are left with very little understanding of exactly what should be expected of these indices and when they should work. The present investigation seeks to bridge this gap in the literature by comparing several of the more commonly used measures of interrater agreement via an Item Response Theory (IRT) model. The goal is to identify which agreement indices best recover true agreement.

ISBN: 0493599541Subjects--Topical Terms:

1017742
Psychology, Psychometrics.

Measurement issues in determining interrater agreement.
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100 1 $a Vincent, Andrea Harrell. $3 1255118
245 1 0 $a Measurement issues in determining interrater agreement.
300 $a 85 p.
500 $a Major Professor: Robert Terry.
500 $a Source: Dissertation Abstracts International, Volume: 63-03, Section: B, page: 1607.
502 $a Thesis (Ph.D.)--The University of Oklahoma, 2002.
520 $a Multiple indices have been proposed claiming to measure the amount of agreement between ratings of two or more judges on a multi-item measure. Unfortunately, simulation work based on these indices is lacking; thus we are left with very little understanding of exactly what should be expected of these indices and when they should work. The present investigation seeks to bridge this gap in the literature by comparing several of the more commonly used measures of interrater agreement via an Item Response Theory (IRT) model. The goal is to identify which agreement indices best recover true agreement.
520 $a In this manuscript, several agreement indices are compared. Among these are the kappa coefficient κ<italic><sub>m</sub></italic> (Fleiss, 1971); the intraclass correlation, <italic>ICC</italic>(<italic>2,1</italic>) (Shrout & Fleiss, 1979); several variants of the <italic>r<sub>WG(J)</sub></italic> index (James, Demaree, & Wolf, 1984; Lindell, Brandt, & Whitney, 1999); a measure of agreement for ordinal data (Stine, 1989); and an index derived from a Latent Trait Model (Terry, 2000). Results identify two measures of agreement that consistently recover true agreement. Implications and extensions to the measurement of agreement in multiple contexts are addressed.
590 $a School code: 0169.
650 4 $a Psychology, Psychometrics. $3 1017742
690 $a 0632
710 2 0 $a The University of Oklahoma. $3 1021915
773 0 $t Dissertation Abstracts International $g 63-03B.
790 $a 0169
790 1 0 $a Terry, Robert, $e advisor
791 $a Ph.D.
792 $a 2002
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3045846