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Tuesday, August 4, 2020 | History

3 edition of Robustness of person-fit decisions in computerized adaptive testing found in the catalog.

Robustness of person-fit decisions in computerized adaptive testing

Rob R. Meijer

Robustness of person-fit decisions in computerized adaptive testing

by Rob R. Meijer

  • 334 Want to read
  • 27 Currently reading

Published by Law School Admission Council in Newtown, PA .
Written in English

    Subjects:
  • Computer adaptive testing

  • Edition Notes

    StatementRob R. Meijer.
    SeriesLSAC research report series, Computerized testing report -- 04-06., Computerized testing report (Law School Admission Council) -- 04-06.
    ContributionsLaw School Admission Council.
    Classifications
    LC ClassificationsLB3060.32.C65 M438 2005
    The Physical Object
    Paginationi, 8 p. ;
    ID Numbers
    Open LibraryOL16355459M
    OCLC/WorldCa62872522

    Computerized adaptive testing in personality assessment can improve efficiency by significantly reducing the number of items administered to answer an assessment question. Two approaches have been explored for adaptive testing in computerized personality assessment: item response theory and the countdown method. In this article, the authors review the literature on each and report the results. In computerized adaptive testing, testing continues until-the examinee fails a specific number of items in a row-a predetermined level of measurement accuracy is achieved-the examinee is administered the most difficult item-none of the above.

    invariance of test factorial structure across different grades, academic terms and states. Recently, computerized adaptive testing (CAT) has been seen as a particularly effective method of measuring an individual student’s status and growth over time in K assessment (Way, Twing, Camara, Sweeney, Lazer, & Mazzeo, ). The. The Nominal Response Model in Computerized Adaptive Testing R. J. De Ayala University of Maryland Although most computerized adaptive tests (cATs) use dichotomous item response theory (IRT) models, research on the use of polytomous IRT models in CAT has shown promising study implemented a CAT based on the nominal response model (NR CAT).Item pool requirements.

    As early as the late s, there was a considerable unpublished literature on adaptive testing methods and their application to psychological scales as well as educational tests (e.g., Bayroff & Seeley, ; Patterson, ; Roid, ). However, the first widely distributed applications of computerized adaptive testing emerged in the s. PSY Exam 4 Chapter STUDY. Flashcards. Learn. Write. Spell. Test. PLAY. Match. Gravity. Created by. bree_dubay. Terms in this set (55) Compared to traditional testing, computerized adaptive testing provides extreme scores which are. more accurate. One test that makes use of actuarial interpretation is.


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Robustness of person-fit decisions in computerized adaptive testing by Rob R. Meijer Download PDF EPUB FB2

Get this from a library. Robustness of person-fit decisions in computerized adaptive testing. [Rob R Meijer; Law School Admission Council.]. This paper applies different types of person-fit analysis in a computer adaptive testing context and investigates the robustness of several methods to multidimensional test data.

Both global person-fit statistics to make the binary decision about fit or misfit of a person’s item-score vector and local checks are : R.R. Meijer. computerized adaptive testing lsac research report series robustness person-fit decision law school voting membership united state government agency territorial law society canadian law school american bar association lsac member legal education law school admission process nonprofit corporation.

LSAC RESEARCH REPORT SERIES Robustness of Person-Fit Decisions in Computerized Adaptive Testing. By Rob R. Meijer. Abstract. A Publication of the Law School Admission CouncilThe Law School Admission Council (LSAC) is a nonprofit corporation whose members are more than law schools in the United States and Canada.

It was founded in to Author: Rob R. Meijer. Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required. To get the free app, enter your mobile phone number.4/5(1).

Person fit procedures conducted at the individual level provide information regarding the trustworthiness of an individual test score.

In computer adaptive tests (CAT), these person fit procedures are useful because traditional ways to examine model-data fit are limited due to test Cited by: 1. New Horizons in Testing: Latent Trait Test Theory and Computerized Adaptive Testing provides an in-depth analysis of psychological measurement, espoused by the computer-latent trait test theory (item response theory) and computerized adaptive testing.

The book is organized into five parts. New Horizons in Testing: Latent Trait Test Theory and Computerized Adaptive Testing provides an in-depth analysis of psychological measurement, espoused by the computer-latent trait test theory (item response theory) and computerized adaptive testing.

The book Book Edition: 1. The algorithm is general and applicable to all types of testing programs: paper-and-pencil testing, computer-based testing, multistage testing, and computerized adaptive testing; it can also be.

Request PDF | On Jan 1,W. Van der Linden and others published Computerized adaptive testing | Find, read and cite all the research you need on ResearchGate. Computer Adaptive Sequential Testing (CAST) is a test delivery model that combines features of the traditional conventional paper-and-pencil testing and item-based computerized adaptive testing (CAT).

computerized adaptive test Within CAT, items are selected during the process of test administration for each individual, allowing the test administrator to control measurement precision and to Cited by: Robustness of Person-Fit Decisions in Computerized Adaptive Testing (CT ) by Rob R.

Meijer, University of Twente, Enschede, The Netherlands. Routing Rules for Multiple-Form Structures (CT ) by Ronald D. Armstrong, Rutgers Business School, Rutgers University.

A hypothetical test taken as a prelude to employment is used as a common example throughout to highlight this book's most important features and problems.

Changes in the new edition include: *a completely rewritten chapter 2 on the system considerations needed for modern computerized adaptive testing. An Introduction to Computerized Adaptive Testing Nathan A. Thompson, Ph.D. Adjunct Faculty, University of Cincinnati Vice President, Assessment Systems CorporationFile Size: KB.

Computerized Adaptive Testing: A Primer and millions of other books are available for Amazon Kindle. Enter your mobile number or email address below and we'll send you a link to download the free Kindle App.

Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device by: Computerized adaptive testing is a form of computer-based test that adapts to the examinee's ability level.

For this reason, it has also been called tailored testing. In other words, it is a form of computer-administered test in which the next item or set of items selected to be administered depends on the correctness of the test taker's responses to the most recent items administered.

The emergence and advancement of modern test theory (e.g., item response theory [IRT]) and the rapid deployment of new computing technologies have completely changed how educational tests are designed, delivered, and administered.

One of the most important examples is computerized adaptive testing Cited by: 3. Computerized Adaptive Testing with R: Recent Updates of the Package catR: Abstract: The purpose of this paper is to list the recent updates of the R package catR.

This package allows for generating response patterns under a computerized adaptive testing (CAT) framework with underlying item response theory (IRT) by: Package ‘catR’ J Type Package Title Generation of IRT Response Patterns under Computerized Adaptive Testing Version Date Author David Magis (Belgium), Gilles Raiche (UQAM, Canada), Juan Ramon Bar-rada (U Zaragoza, Spain) Maintainer David Magis Depends R (>= )File Size: KB.

The paper provides a survey of 18 years’ progress that my colleagues, students (both former and current) and I made in a prominent research area in Psychometrics—Computerized Adaptive Testing (CAT).

We start with a historical review of the establishment of a large sample foundation for CAT. It is worth noting that the asymptotic results were derived under the framework of Cited by: Computer-adaptive tests are designed to adjust their level of difficulty—based on the responses provided—to match the knowledge and ability of a test taker.

If a student gives a wrong answer, the computer follows up with an easier question; if the student .Computerized adaptive testing (CAT) is a sophisticated method of delivering examinations, and has nearly 40 years of technical research supporting it.

An additional body of literature investigates the context of CAT, such as comparisons to paper-based or computer-administered conventional tests (Vispoel, Rocklin, & Wang, ) and the.