Literature DB >> 20644081

The value of item response theory in clinical assessment: a review.

Michael L Thomas1.   

Abstract

Item response theory (IRT) and related latent variable models represent modern psychometric theory, the successor to classical test theory in psychological assessment. Although IRT has become prevalent in the measurement of ability and achievement, its contributions to clinical domains have been less extensive. Applications of IRT to clinical assessment are reviewed to appraise its current and potential value. Benefits of IRT include comprehensive analyses and reduction of measurement error, creation of computer adaptive tests, meaningful scaling of latent variables, objective calibration and equating, evaluation of test and item bias, greater accuracy in the assessment of change due to therapeutic intervention, and evaluation of model and person fit. The theory may soon reinvent the manner in which tests are selected, developed, and scored. Although challenges remain to the widespread implementation of IRT, its application to clinical assessment holds great promise. Recommendations for research, test development, and clinical practice are provided.

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Year:  2010        PMID: 20644081     DOI: 10.1177/1073191110374797

Source DB:  PubMed          Journal:  Assessment        ISSN: 1073-1911


  58 in total

1.  Computer-adaptive balance testing improves discrimination between community-dwelling elderly fallers and nonfallers.

Authors:  Poonam K Pardasaney; Pengsheng Ni; Mary D Slavin; Nancy K Latham; Robert C Wagenaar; Jonathan Bean; Alan M Jette
Journal:  Arch Phys Med Rehabil       Date:  2014-03-28       Impact factor: 3.966

2.  Examination of the Korean Modified Checklist of Autism in Toddlers: Item Response Theory.

Authors:  HyeKyeung Seung; Juye Ji; Soo-Jin Kim; Inkyung Sung; Young-Ah Youn; Gyunghun Hong; Hyeonjin Lee; Young Hwan Lee; Hyunsuk Lee; Hyun Kyung Youm
Journal:  J Autism Dev Disord       Date:  2015-09

3.  Evidence of systematic attenuation in the measurement of cognitive deficits in schizophrenia.

Authors:  Michael L Thomas; Virginie M Patt; Andrew Bismark; Joyce Sprock; Melissa Tarasenko; Gregory A Light; Gregory G Brown
Journal:  J Abnorm Psychol       Date:  2017-03-09

4.  Factor structure, factorial invariance, and validity of the Multidimensional Shame-Related Response Inventory-21 (MSRI-21).

Authors:  Antonio F Garcia; Melina Acosta; Saifa Pirani; Daniel Edwards; Augustine Osman
Journal:  J Couns Psychol       Date:  2017-02-09

5.  Computerized neuropsychological assessment devices: joint position paper of the American Academy of Clinical Neuropsychology and the National Academy of Neuropsychology.

Authors:  Russell M Bauer; Grant L Iverson; Alison N Cernich; Laurence M Binder; Ronald M Ruff; Richard I Naugle
Journal:  Arch Clin Neuropsychol       Date:  2012-03-01       Impact factor: 2.813

6.  Language-related differential item functioning between English and German PROMIS Depression items is negligible.

Authors:  H Felix Fischer; Inka Wahl; Sandra Nolte; Gregor Liegl; Elmar Brähler; Bernd Löwe; Matthias Rose
Journal:  Int J Methods Psychiatr Res       Date:  2016-10-16       Impact factor: 4.035

7.  Psychometric analysis of the adult separation anxiety symptom questionnaire: Item functioning and invariance across gender and time.

Authors:  Megan C Finsaas; Thomas M Olino; Mariah Hawes; Daniel M Mackin; Daniel N Klein
Journal:  Psychol Assess       Date:  2020-03-12

8.  Screening for mental disorders in heart failure patients using computer-adaptive tests.

Authors:  H Felix Fischer; Cassandra Klug; Koosje Roeper; Eva Blozik; Frank Edelmann; Marion Eisele; Stefan Störk; Rolf Wachter; Martin Scherer; Matthias Rose; Christoph Herrmann-Lingen
Journal:  Qual Life Res       Date:  2013-12-14       Impact factor: 4.147

9.  Creating a Physical Activity Self-Report Form for Youth Using Rasch Methodology.

Authors:  Christine DiStefano; Russell Pate; Kerry McIver; Marsha Dowda; Michael Beets; Dale Murrie
Journal:  J Appl Meas       Date:  2016

10.  Parallel psychometric and cognitive modeling analyses of the Penn Face Memory Test in the Army Study to Assess Risk and Resilience in Servicemembers.

Authors:  Michael L Thomas; Gregory G Brown; Ruben C Gur; John A Hansen; Matthew K Nock; Steven Heeringa; Robert J Ursano; Murray B Stein
Journal:  J Clin Exp Neuropsychol       Date:  2013-02-05       Impact factor: 2.475

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