Literature DB >> 17443420

Differential item functioning and health assessment.

Jeanne A Teresi1, John A Fleishman.   

Abstract

Establishing measurement equivalence is important because inaccurate assessment may lead to incorrect estimates of effects in research, and to suboptimal decisions at the individual, clinical level. Examination of differential item functioning (DIF) is a method for studying measurement equivalence. An item (i.e., one question in a longer scale) exhibits DIF if the item response differs across groups (e.g., gender, race), controlling for an estimate of the construct being measured. A distinction between applications in health, as contrasted with other settings such as educational and aptitude testing, is that there are many health-related constructs and multiple measures of each, few of which have received much critical evaluation. Discussed in this article are several methods for detection of differential item functioning (DIF), including non-parametric and parametric methods such as logistic regression, and those based on item response theory. Basic definitions and criteria for DIF detection are provided, as are steps in performing the analyses. Recommendations are presented and future directions discussed.

Mesh:

Year:  2007        PMID: 17443420     DOI: 10.1007/s11136-007-9184-6

Source DB:  PubMed          Journal:  Qual Life Res        ISSN: 0962-9343            Impact factor:   4.147


  22 in total

1.  Test bias in a cognitive test: differential item functioning in the CASI.

Authors:  Paul K Crane; Gerald van Belle; Eric B Larson
Journal:  Stat Med       Date:  2004-01-30       Impact factor: 2.373

2.  Demographic variation in SF-12 scores: true differences or differential item functioning?

Authors:  John A Fleishman; William F Lawrence
Journal:  Med Care       Date:  2003-07       Impact factor: 2.983

Review 3.  Different approaches to differential item functioning in health applications. Advantages, disadvantages and some neglected topics.

Authors:  Jeanne A Teresi
Journal:  Med Care       Date:  2006-11       Impact factor: 2.983

4.  Some applications of latent trait analysis to the measurement of ADL.

Authors:  J A Teresi; P S Cross; R R Golden
Journal:  J Gerontol       Date:  1989-09

5.  Differential item functioning analysis with ordinal logistic regression techniques. DIFdetect and difwithpar.

Authors:  Paul K Crane; Laura E Gibbons; Lance Jolley; Gerald van Belle
Journal:  Med Care       Date:  2006-11       Impact factor: 2.983

6.  Using cognitive interviews to develop surveys in diverse populations.

Authors:  Anna M Nápoles-Springer; Jasmine Santoyo-Olsson; Helen O'Brien; Anita L Stewart
Journal:  Med Care       Date:  2006-11       Impact factor: 2.983

Review 7.  Item and scale differential functioning of the Mini-Mental State Exam assessed using the Differential Item and Test Functioning (DFIT) Framework.

Authors:  Leo S Morales; Claudia Flowers; Peter Gutierrez; Marjorie Kleinman; Jeanne A Teresi
Journal:  Med Care       Date:  2006-11       Impact factor: 2.983

8.  Modern psychometric methods for detection of differential item functioning: application to cognitive assessment measures.

Authors:  J A Teresi; M Kleinman; K Ocepek-Welikson
Journal:  Stat Med       Date:  2000 Jun 15-30       Impact factor: 2.373

Review 9.  Ten recommendations for advancing patient-centered outcomes measurement for older persons.

Authors:  Colleen A McHorney
Journal:  Ann Intern Med       Date:  2003-09-02       Impact factor: 25.391

10.  Impact of differential item functioning on age and gender differences in functional disability.

Authors:  John A Fleishman; William D Spector; Barbara M Altman
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2002-09       Impact factor: 4.077

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  85 in total

1.  Mixing methods and blending paradigms: some considerations for future research.

Authors:  Carolyn E Schwartz; Dennis A Revicki
Journal:  Qual Life Res       Date:  2012-04       Impact factor: 4.147

2.  Development of an item bank and computer adaptive test for role functioning.

Authors:  Milena D Anatchkova; Matthias Rose; John E Ware; Jakob B Bjorner
Journal:  Qual Life Res       Date:  2011-12-06       Impact factor: 4.147

3.  Further validation of the Warwick-Edinburgh Mental Well-being Scale (WEMWBS) in the UK veterinary profession: Rasch analysis.

Authors:  David J Bartram; Julia M Sinclair; David S Baldwin
Journal:  Qual Life Res       Date:  2012-03-02       Impact factor: 4.147

4.  Analysis of differential item functioning in the depression item bank from the Patient Reported Outcome Measurement Information System (PROMIS): An item response theory approach.

Authors:  Jeanne A Teresi; Katja Ocepek-Welikson; Marjorie Kleinman; Joseph P Eimicke; Paul K Crane; Richard N Jones; Jin-Shei Lai; Seung W Choi; Ron D Hays; Bryce B Reeve; Steven P Reise; Paul A Pilkonis; David Cella
Journal:  Psychol Sci Q       Date:  2009

5.  An item response theory modeling of alcohol and marijuana dependences: a National Drug Abuse Treatment Clinical Trials Network study.

Authors:  Li-Tzy Wu; Jeng-Jong Pan; Dan G Blazer; Betty Tai; Maxine L Stitzer; Robert K Brooner; George E Woody; Ashwin A Patkar; Jack D Blaine
Journal:  J Stud Alcohol Drugs       Date:  2009-05       Impact factor: 2.582

6.  Assessing the invariance of a culturally competent multi-lingual unmet needs survey for immigrant and Australian-born cancer patients: a Rasch analysis.

Authors:  J A McGrane; P N Butow; M Sze; M Eisenbruch; D Goldstein; M T King
Journal:  Qual Life Res       Date:  2014-05-24       Impact factor: 4.147

7.  Testing parent dyad interchangeability in the parent proxy-report of PedsQL™ 4.0: a differential item functioning analysis.

Authors:  Marziyeh Doostfatemeh; Seyyed Mohammad Taghi Ayatollahi; Peyman Jafari
Journal:  Qual Life Res       Date:  2015-02-03       Impact factor: 4.147

8.  Testing whether patients with diabetes and healthy people perceive the meaning of the items in the Persian version of the SF-36 questionnaire similarly: a differential item functioning analysis.

Authors:  Zahra Bagheri; Peyman Jafari; Marzieh Mahmoodi; Mohammad Hossein Dabbaghmanesh
Journal:  Qual Life Res       Date:  2016-10-03       Impact factor: 4.147

9.  Demographic and functional differences among social security disability claimants.

Authors:  Molly Marino; Pengsheng Ni; Lewis Kazis; Diane Brandt; Alan Jette
Journal:  Qual Life Res       Date:  2021-02-21       Impact factor: 4.147

10.  Measurement invariance of the kidney disease and quality of life instrument (KDQOL-SF) across veterans and non-veterans.

Authors:  Karen L Saban; Fred B Bryant; Domenic J Reda; Kevin T Stroupe; Denise M Hynes
Journal:  Health Qual Life Outcomes       Date:  2010-10-25       Impact factor: 3.186

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