4.5 Article

A comparison of three sets of criteria for determining the presence of differential item functioning using ordinal logistic regression

期刊

QUALITY OF LIFE RESEARCH
卷 16, 期 -, 页码 69-84

出版社

SPRINGER
DOI: 10.1007/s11136-007-9185-5

关键词

differential item functioning; ordinal logistic regression; test bias; item response theory; psychometrics

资金

  1. NATIONAL CANCER INSTITUTE [R01CA060068] Funding Source: NIH RePORTER
  2. NATIONAL CENTER ON MINORITY HEALTH AND HEALTH DISPARITIES [P20MD000148] Funding Source: NIH RePORTER
  3. NATIONAL INSTITUTE OF ARTHRITIS AND MUSCULOSKELETAL AND SKIN DISEASES [U01AR052177] Funding Source: NIH RePORTER
  4. NATIONAL INSTITUTE ON AGING [P50AG005136, K08AG022232, P30AG015294] Funding Source: NIH RePORTER
  5. NCI NIH HHS [R01 CA60068] Funding Source: Medline
  6. NIAMS NIH HHS [AR 052177] Funding Source: Medline
  7. NIA NIH HHS [P50 AG 05136, K08 AG 022232, AG-02-004, AG 15294] Funding Source: Medline
  8. NIMHD NIH HHS [P20-MD00148-01] Funding Source: Medline

向作者/读者索取更多资源

Background Several techniques have been developed to detect differential item functioning (DIF), including ordinal logistic regression (OLR). This study compared different criteria for determining whether items have DIF using OLR. Objectives To compare and contrast findings from three different sets of criteria for detecting DIF using OLR. General distress and physical functioning : items were evaluated for DIF related to five covariates: age, marital status, gender, race, and Hispanic origin. Research design Cross-sectional study. Subjects 1,714 patients with cancer or HIV/AIDS. Measures A total of 23 items addressing physical functioning and 15 items addressing general distress were selected from a pool of 154 items from four different health-related quality of life questionnaires. Results The three sets of criteria produced qualitatively and quantitatively different results. Criteria based on statistical significance alone detected DIF in almost all the items, while alternative criteria based on magnitude detected DIF in far fewer items. Accounting for DIF by using demographic-group specific item parameters had negligible effects on individual scores, except for race.

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