東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

A comparison of traditional and IRT ...

Kay, Cheryl Ann.

Linked to FindBook

Google Book

Amazon

博客來

A comparison of traditional and IRT factor analysis.

Record Type:	Electronic resources : Monograph/item
Title/Author:	A comparison of traditional and IRT factor analysis./
Author:	Kay, Cheryl Ann.
Description:	108 p.
Notes:	Source: Dissertation Abstracts International, Volume: 65-12, Section: A, page: 4538.
Contained By:	Dissertation Abstracts International65-12A.
Subject:	Education, Tests and Measurements. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3157486
ISBN:	0496900056

A comparison of traditional and IRT factor analysis.
Kay, Cheryl Ann.

A comparison of traditional and IRT factor analysis. - 108 p.

Source: Dissertation Abstracts International, Volume: 65-12, Section: A, page: 4538.

Thesis (Ph.D.)--University of North Texas, 2004.

This study investigated the item parameter recovery of two methods of factor analysis. The methods researched were a traditional factor analysis of tetrachoric correlation coefficients and an IRT approach to factor analysis which utilizes marginal maximum likelihood estimation using an EM algorithm (MMLE-EM). Dichotomous item response data was generated under the 2-parameter normal ogive model (2PNOM) using PARDSIM software. Examinee abilities were sampled from both the standard normal and uniform distributions. True item discrimination, a, was normal with a mean of .75 and a standard deviation of .10. True b, item difficulty, was specified as uniform [-2, 2]. The two distributions of abilities were completely crossed with three test lengths (n = 30, 60, and 100) and three sample sizes (N = 50, 500, and 1000). Each of the 18 conditions was replicated 5 times, resulting in 90 datasets. PRELIS software was used to conduct a traditional factor analysis on the tetrachoric correlations. The IRT approach to factor analysis was conducted using BILOG 3 software. Parameter recovery was evaluated in terms of root mean square error, average signed bias, and Pearson correlations between estimated and true item parameters. ANOVAs were conducted to identify systematic differences in error indices. Based on many of the indices, it appears the IRT approach to factor analysis recovers item parameters better than the traditional approach studied. Future research should compare other methods of factor analysis to MMLE-EM under various non-normal distributions of abilities.

ISBN: 0496900056Subjects--Topical Terms:

1017589
Education, Tests and Measurements.

A comparison of traditional and IRT factor analysis.
LDR:02464nmm 2200277 4500 001 1845219
005 20051012084753.5
008 130614s2004 eng d
020 $a 0496900056
035 $a (UnM)AAI3157486
035 $a AAI3157486
040 $a UnM $c UnM
100 1 $a Kay, Cheryl Ann. $3 1933380
245 1 2 $a A comparison of traditional and IRT factor analysis.
300 $a 108 p.
500 $a Source: Dissertation Abstracts International, Volume: 65-12, Section: A, page: 4538.
500 $a Major Professor: Randall E. Schumacker.
502 $a Thesis (Ph.D.)--University of North Texas, 2004.
520 $a This study investigated the item parameter recovery of two methods of factor analysis. The methods researched were a traditional factor analysis of tetrachoric correlation coefficients and an IRT approach to factor analysis which utilizes marginal maximum likelihood estimation using an EM algorithm (MMLE-EM). Dichotomous item response data was generated under the 2-parameter normal ogive model (2PNOM) using PARDSIM software. Examinee abilities were sampled from both the standard normal and uniform distributions. True item discrimination, a, was normal with a mean of .75 and a standard deviation of .10. True b, item difficulty, was specified as uniform [-2, 2]. The two distributions of abilities were completely crossed with three test lengths (n = 30, 60, and 100) and three sample sizes (N = 50, 500, and 1000). Each of the 18 conditions was replicated 5 times, resulting in 90 datasets. PRELIS software was used to conduct a traditional factor analysis on the tetrachoric correlations. The IRT approach to factor analysis was conducted using BILOG 3 software. Parameter recovery was evaluated in terms of root mean square error, average signed bias, and Pearson correlations between estimated and true item parameters. ANOVAs were conducted to identify systematic differences in error indices. Based on many of the indices, it appears the IRT approach to factor analysis recovers item parameters better than the traditional approach studied. Future research should compare other methods of factor analysis to MMLE-EM under various non-normal distributions of abilities.
590 $a School code: 0158.
650 4 $a Education, Tests and Measurements. $3 1017589
650 4 $a Psychology, Psychometrics. $3 1017742
690 $a 0288
690 $a 0632
710 2 0 $a University of North Texas. $3 1017396
773 0 $t Dissertation Abstracts International $g 65-12A.
790 1 0 $a Schumacker, Randall E., $e advisor
790 $a 0158
791 $a Ph.D.
792 $a 2004
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3157486