2 edition of use of person-fit statistics in computerized adaptive testing found in the catalog.
use of person-fit statistics in computerized adaptive testing
Rob R. Meijer
|Statement||Rob R. Meijer, Edith M.L.A. van Krimpen-Stoop.|
|Series||LSAC research report series, Computerized testing report -- 97-14, Computerized testing report (Law School Admission Council) -- 97-14.|
|Contributions||Krimpen-Stoop, Edith M. L. A. van., Law School Admission Council.|
|The Physical Object|
|Pagination||i, 14 p. ;|
|Number of Pages||14|
Mar 14, · Computerized adaptive testing (CAT) is increasingly being proposed for use in routine functional and health-related quality-of-life assessments in outpatient rehabilitation programs [1–4], and is considered the new wave of the future in patient-reported outcome (PRO) assessments [5–10]. CAT employs a simple form of artificial intelligence Cited by: Computerized adaptive testing (CAT) is increasingly being proposed for use in routine functional and health-related quality-of-life assessments in outpatient rehabilitation programs [1–4], and is considered the new wave of the future in patient-reported outcome (PRO) assessments [5–10]. CAT employs a simple form of artificial intelligence Cited by:
His areas of expertise include topics such as item response theory, latent class analysis, diagnostic classification models, and, more broadly, classification and mixture distribution models, computational statistics, person-fit, item-fit, and model checking, hierarchical extension of models for categorical data analysis, and the analytical. R. J. de Ayala is Professor of Educational Psychology at the University of Nebraska-Lincoln. His research interests include psychometrics, item response theory, computerized adaptive testing, applied statistics, and multilevel models.5/5(1).
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Get this from a library. The use of person-fit statistics in computerized adaptive testing. [Rob R Meijer; Edith M L A van Krimpen-Stoop; Law School Admission Council.]. TY - BOOK. T1 - The use of person-fit statistics in computerized adaptive testing.
AU - Meijer, R.R. AU - van Krimpen-Stoop, Edith. PY - /9Author: Rob R. Meijer, Edith M.L.A. van Krimpen-Stoop. CUSUM-Based Person-Fit Statistics for Adaptive Testing Article in Journal of Educational and Behavioral Statistics 26(2) · June with 34 Reads How we measure 'reads'.
The arrival of the computer in educational and psychological testing has led to the current popularity of adaptive testinga testing format in which the computer uses statistical information about the test items to automatically adapt their selection to a real-time update of the test taker’s ability driftwood-dallas.com: van der Linden, Wim J.
van Krimpen-Stoop, E & Meijer, RRCUSUM-based person-fit statistics for adaptive testing. OMD Research Report, no.
University of Twente, Faculty Cited by: Detecting Person Misfit in Adaptive Testing. the use of person-fit statistics in empirical data analysis is briefly discussed. With the increased use of continuous testing in computerized. Dec 31, · As will be argued below, the application of person fit theory presented in the context of p&p tests cannot simply be generalized to a computerized adaptive test (CAT).
In this chapter we introduce and review the existing literature on person fit in the context of a driftwood-dallas.com by: 6. Statistical tests for person misfit in computerized adaptive testing (Reseach Report RR ).
Enschede, The Netherlands: University of Twente. The distribution of indexes of person fit within the computerized adaptive testing environment. Applied Asymptotic null distribution of person fit statistics with estimated person Cited by: Elements of Adaptive Testing (Statistics for Social and Behavioral Sciences) - Kindle edition by Wim J.
van der Linden, Cees A.W. Glas. Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Elements of Adaptive Testing (Statistics for Social and Behavioral Sciences).Manufacturer: Springer.
Jun 01, · Many item-fit statistics have been proposed for assessing whether the responses to test items ag gregated across examinees conform to IRT test models.
Conversely, person-fit statistics have been proposed for assessing whether an examinee's re sponses aggregated across items are congruent with a specified IRT model. Statistical procedures to as sess item fit have differed from those to Cited by: which were developed based on linear tests but have been employed to the adaptive testing.
Through a simulation, this study examines the impact of missing data on the item fit statistics, χ2* and G2*, between a linear test and a computerized adaptive test based on IRT. Meijer and van Krimpen-Stoop noted that the number of person-fit statistics (PFSs) that have been designed for computerized adaptive tests (CATs) is relatively modest.
This article partially addresses that concern by suggesting three new PFSs for CATs. The statistics are based on tests for a change point and can be used to detect an abrupt. One way of taking advantage of technology for assessing learners' academic performance is computerized adaptive testing (CAT), which symbolizes the integration of computerized testing and adaptive testing (Chang, ).
The beginnings of computerized testing in the s were hindered because of under-developed computer technology, and it was Cited by: 6. may be detected through the use of person-fit indices.
A Bayesian posterior This book may not be reproduced or transmitted, in whole or in part, by any means, electronic or mechanical, including photocopying, recording, or by any information storage and retrieval With the increased use of computerized adaptive testing, which allows for.
New Titles List for the Week of March 20, These titles were acquired by the O'Quinn Law Library. Downloadable (with restrictions). Abstract Item compromise persists in undermining the integrity of testing, even secure administrations of computerized adaptive testing (CAT) with sophisticated item exposure controls.
In ongoing efforts to tackle this perennial security issue in CAT, a couple of recent studies investigated sequential procedures for detecting compromised items, in which a Cited by: 4. Computer adaptive testing can begin when an item bank exists with IRT item statistics available on all items, when a procedure has been selected for obtaining ability estimates based upon candidate item performance, and when there is an algorithm chosen for sequencing the set of test items to be administered to candidates.
PIAAC Seminar: The use of test scores in secondary analysis- 14 June - Paris 2 PRESENTERS Timothy N. Bond is an assistant professor of economics at the Krannert School of Management in Purdue University, and a Research Fellow at the Institute for the.
The purpose of this research was to explore psycho metric issues pertinent to the application of an IRT based person-fit (response aberrancy) detection statistic in the personality measurement domain. Monte carlo data analyses were conducted to address issues regarding the l z person-fit driftwood-dallas.com by: References of Non-Commercial Software for IRT Analyses1 Nina Deng University of Massachusetts Amherst Please send any comments, updates, or corrections to ([email protected]).
Thank you very much for the support and I hope you find this brief report helpful. A Computer Program for Simulation Evaluation of IRT Ability Estimators. Process for Estimating Item Parameters Within a Computerized Presentation of this paper at the Conference on Computerized Adaptive Testing Adaptive item calibration: A process for estimating item parameters within a computerized adaptive test.
In D. J. Weiss (Ed.), Proceedings of the GMAC Conference on Computerized Adaptive.Can't sign in? Forgot your username? Enter your email address below and we will send you your username.There are some significant features of item response models.
Hambleton and Swaminathan () indicated that characteristic of item response model included (1) It is a model which supposes that examinee performance on a test can be predicted (or explained) in terms of one or more characteristic referred to as a trait.