View : 5 Download: 0

Sensitivity of Marginal Maximum Likelihood Estimation of Item and Ability Parameters to the Characteristics of the Prior Ability Distributions

Title
Sensitivity of Marginal Maximum Likelihood Estimation of Item and Ability Parameters to the Characteristics of the Prior Ability Distributions
Authors
Seong T.-J.
Ewha Authors
성태제
SCOPUS Author ID
성태제scopus
Issue Date
1990
Journal Title
Applied Psychological Measurement
ISSN
0146-6216JCR Link
Citation
vol. 14, no. 3, pp. 299 - 311
Keywords
ability distributionBILOGitem response theorymarginal maximum likelihood estimationparameter estimationquadrature points
Indexed
SSCI; SCOPUS scopus
Abstract
The sensitivity of marginal maximum likelihood es timation of item and ability (θ) parameters was ex amined when the prior θ distributions are not matched to the underlying θ distributions. Thirty sets of 45-item test data were generated by specifi cation of three types of underlying θ distributions. They were then analyzed with PC-BILOG. Appropri ate specification of the prior θ distribution increased the accuracy of estimation for item and θ param eters when the sample size was large. With a small dataset, the appropriate specification of the prior increased the accuracy of θ parameter estimation, but it did not have that effect on item parameter esti mation. Only with a large dataset and matched under lying and prior θ distributions did increasing the number of quadrature points improve the accuracy of estimation of the item parameters. However, the ac curacy of θ estimation was increased by increasing the number of quadrature points, regardless of sample size and appropriateness of the prior θ distribution. The number of examinees had an im portant effect on the accuracy of item parameter estimation. © 1990, Sage Publications. All rights reserved.
DOI
10.1177/014662169001400307
Appears in Collections:
ETC > ETC
Files in This Item:
There are no files associated with this item.


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE