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A procedure for developing a common ...

University of Massachusetts Amherst., Education.

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A procedure for developing a common metric in item response theory when parameter posterior distributions are known.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	A procedure for developing a common metric in item response theory when parameter posterior distributions are known./
Author:	Baldwin, Peter.
Description:	107 p.
Notes:	Adviser: Lisa A. Keller.
Contained By:	Dissertation Abstracts International69-08A.
Subject:	Education, Tests and Measurements. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoeng/servlet/advanced?query=3315470
ISBN:	9780549663485

A procedure for developing a common metric in item response theory when parameter posterior distributions are known.
Baldwin, Peter.

A procedure for developing a common metric in item response theory when parameter posterior distributions are known. - 107 p.

Adviser: Lisa A. Keller.

Thesis (Ed.D.)--University of Massachusetts Amherst, 2008.

Because item response theory (IRT) models are arbitrarily identified, independently estimated parameters must be transformed to a common metric before they can be compared. To accomplish this, the transformation constants must be estimated and because these estimates are imperfect, there is a propagation of error effect when transforming parameter estimates. However, this error propagation is typically ignored and estimates of the transformation constants are treated as true when transforming parameter estimates to a common metric. To address this shortcoming, a procedure is proposed and evaluated that accounts for the uncertainty in the transformation constants when adjusting for differences in metric. This procedure utilizes random draws from model parameter posterior distributions, which are available when IRT models are estimated using Markov chain Monte Carlo (MCMC) methods.

ISBN: 9780549663485Subjects--Topical Terms:

1017589
Education, Tests and Measurements.

A procedure for developing a common metric in item response theory when parameter posterior distributions are known.
LDR:02906nam 2200325 a 45 001 856052
005 20100708
008 100708s2008 ||||||||||||||||| ||eng d
020 $a 9780549663485
035 $a (UMI)AAI3315470
035 $a AAI3315470
040 $a UMI $c UMI
100 1 $a Baldwin, Peter. $3 681823
245 1 2 $a A procedure for developing a common metric in item response theory when parameter posterior distributions are known.
300 $a 107 p.
500 $a Adviser: Lisa A. Keller.
500 $a Source: Dissertation Abstracts International, Volume: 69-08, Section: A, page: 3124.
502 $a Thesis (Ed.D.)--University of Massachusetts Amherst, 2008.
520 $a Because item response theory (IRT) models are arbitrarily identified, independently estimated parameters must be transformed to a common metric before they can be compared. To accomplish this, the transformation constants must be estimated and because these estimates are imperfect, there is a propagation of error effect when transforming parameter estimates. However, this error propagation is typically ignored and estimates of the transformation constants are treated as true when transforming parameter estimates to a common metric. To address this shortcoming, a procedure is proposed and evaluated that accounts for the uncertainty in the transformation constants when adjusting for differences in metric. This procedure utilizes random draws from model parameter posterior distributions, which are available when IRT models are estimated using Markov chain Monte Carlo (MCMC) methods.
520 $a Given two test forms with model parameter vectors Λ Y and ΛX, the proposed procedure works by sampling the posterior of ΛY and Λ X, estimating the transformation constants using these two samples, and transforming sample X to the scale of sample Y. This process is repeated N times, where N is the desired number of transformed posterior draws.
520 $a A simulation study is conducted to evaluate the feasibility and success of the proposed strategy compared to the traditional strategy of treated scaling constants estimates as error-free. Results were evaluated by comparing the observed coverage probabilities of the transformed posteriors to their expectation. The proposed strategy yielded equal or superior coverage probabilities compared to the traditional strategy for 140 of the 144 comparisons made in this study (97%). Conditions included four methods of estimated the scaling constants and three anchor lengths.
590 $a School code: 0118.
650 4 $a Education, Tests and Measurements. $3 1017589
650 4 $a Psychology, Psychometrics. $3 1017742
690 $a 0288
690 $a 0632
710 2 $a University of Massachusetts Amherst. $b Education. $3 1022801
773 0 $t Dissertation Abstracts International $g 69-08A.
790 $a 0118
790 1 0 $a Conlon, Erin M. $e committee member
790 1 0 $a Hambleton, Ronald K. $e committee member
790 1 0 $a Keller, Lisa A., $e advisor
791 $a Ed.D.
792 $a 2008
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoeng/servlet/advanced?query=3315470