Literature DB >> 16123258

Procedures for the analysis of differential item functioning (DIF) for small sample sizes.

Jin-Shei Lai1, Jeanne Teresi, Richard Gershon.   

Abstract

An item with differential item functioning (DIF) displays different statistical properties, conditional on a matching variable. The presence of DIF in measures can invalidate the conclusions of medical outcome studies. Numerous approaches have been developed to examine DIF in many areas, including education and health-related quality of life. There is little consensus in the research community regarding selection of one best method, and most methods require large sample sizes. This article describes some approaches to examine DIF with small samples (e.g., less than 200).

Mesh:

Year:  2005        PMID: 16123258     DOI: 10.1177/0163278705278276

Source DB:  PubMed          Journal:  Eval Health Prof        ISSN: 0163-2787            Impact factor:   2.651


  20 in total

1.  Occurrences and sources of Differential Item Functioning (DIF) in patient-reported outcome measures: Description of DIF methods, and review of measures of depression, quality of life and general health.

Authors:  Jeanne A Teresi; Mildred Ramirez; Jin-Shei Lai; Stephanie Silver
Journal:  Psychol Sci Q       Date:  2008

2.  Classical test theory and item response theory/Rasch model to assess differences between patient-reported fatigue using 7-day and 4-week recall periods.

Authors:  Jin-Shei Lai; Karon Cook; Arthur Stone; Jennifer Beaumont; David Cella
Journal:  J Clin Epidemiol       Date:  2009-02-12       Impact factor: 6.437

3.  Response shift: a brief overview and proposed research priorities.

Authors:  Ruth Barclay-Goddard; Joshua D Epstein; Nancy E Mayo
Journal:  Qual Life Res       Date:  2009-02-25       Impact factor: 4.147

4.  The weight-specific adolescent instrument for economic evaluation (WAItE): psychometric evaluation using a Rasch model approach.

Authors:  Yemi Oluboyede; Adam B Smith; Andrew Hill; Claire Hulme
Journal:  Qual Life Res       Date:  2018-12-05       Impact factor: 4.147

5.  Development of a parent-report cognitive function item bank using item response theory and exploration of its clinical utility in computerized adaptive testing.

Authors:  Jin-Shei Lai; Zeeshan Butt; Frank Zelko; David Cella; Kevin R Krull; Mark W Kieran; Stewart Goldman
Journal:  J Pediatr Psychol       Date:  2011-03-04

6.  A Rasch model analysis of alcohol consumption and problems across adolescence and young adulthood.

Authors:  Christopher W Kahler; Bettina B Hoeppner; Kristina M Jackson
Journal:  Alcohol Clin Exp Res       Date:  2009-01-12       Impact factor: 3.455

7.  Differential item functioning (DIF) analyses of health-related quality of life instruments using logistic regression.

Authors:  Neil W Scott; Peter M Fayers; Neil K Aaronson; Andrew Bottomley; Alexander de Graeff; Mogens Groenvold; Chad Gundy; Michael Koller; Morten A Petersen; Mirjam A G Sprangers
Journal:  Health Qual Life Outcomes       Date:  2010-08-04       Impact factor: 3.186

8.  Parent-reported cognition of children with cancer and its potential clinical usefulness.

Authors:  Jin-Shei Lai; Frank Zelko; Kevin R Krull; David Cella; Cindy Nowinski; Peter E Manley; Stewart Goldman
Journal:  Qual Life Res       Date:  2013-11-07       Impact factor: 4.147

9.  Few items in the thyroid-related quality of life instrument ThyPRO exhibited differential item functioning.

Authors:  Torquil Watt; Mogens Groenvold; Laszlo Hegedüs; Steen Joop Bonnema; Åse Krogh Rasmussen; Ulla Feldt-Rasmussen; Jakob Bue Bjorner
Journal:  Qual Life Res       Date:  2013-06-30       Impact factor: 4.147

10.  Japanese-English language equivalence of the Cognitive Abilities Screening Instrument among Japanese-Americans.

Authors:  Laura E Gibbons; Susan McCurry; Kristoffer Rhoads; Kamal Masaki; Lon White; Amy R Borenstein; Eric B Larson; Paul K Crane
Journal:  Int Psychogeriatr       Date:  2008-10-24       Impact factor: 3.878

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