Literature DB >> 25751735

Precision across race, age and gender of a HIV risk screen for adolescents and young adults.

Michiel A van Zyl1, Christina Studts, Kathryn Pahl.   

Abstract

Identification of adolescents and young adults at high risk for HIV infection in South Africa is a key component of current and future prevention efforts. A 5-item measure was developed in the current study with acceptable levels of reliability and validity, and all items discriminating sufficiently between respondents at different levels of risk. However, both uniform and non-uniform differential item functioning (DIF) were revealed as problems: items performed differently by age, race, and gender groups. Consequently age-, race-, and gender-specific percentile-based norms were developed. Implications for policy and practice are discussed.

Entities:  

Keywords:  Adolescents; HIV; South Africa; risk assessment; screening

Mesh:

Year:  2015        PMID: 25751735      PMCID: PMC4382403          DOI: 10.1080/19371918.2014.994725

Source DB:  PubMed          Journal:  Soc Work Public Health        ISSN: 1937-190X


  7 in total

1.  The relationship between early age of onset of initial substance use and engaging in multiple health risk behaviors among young adolescents.

Authors:  R H DuRant; J A Smith; S R Kreiter; D P Krowchuk
Journal:  Arch Pediatr Adolesc Med       Date:  1999-03

2.  Classroom-based surveys of adolescent risk-taking behaviors: reducing the bias of absenteeism.

Authors:  Sally Guttmacher; Beth C Weitzman; Farzana Kapadia; Sharon L Weinberg
Journal:  Am J Public Health       Date:  2002-02       Impact factor: 9.308

3.  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

4.  Psychometric evaluation and calibration of health-related quality of life item banks: plans for the Patient-Reported Outcomes Measurement Information System (PROMIS).

Authors:  Bryce B Reeve; Ron D Hays; Jakob B Bjorner; Karon F Cook; Paul K Crane; Jeanne A Teresi; David Thissen; Dennis A Revicki; David J Weiss; Ronald K Hambleton; Honghu Liu; Richard Gershon; Steven P Reise; Jin-shei Lai; David Cella
Journal:  Med Care       Date:  2007-05       Impact factor: 2.983

5.  lordif: An R Package for Detecting Differential Item Functioning Using Iterative Hybrid Ordinal Logistic Regression/Item Response Theory and Monte Carlo Simulations.

Authors:  Seung W Choi; Laura E Gibbons; Paul K Crane
Journal:  J Stat Softw       Date:  2011-03-01       Impact factor: 6.440

6.  Youth risk behavior surveillance - United States, 2009.

Authors:  Danice K Eaton; Laura Kann; Steve Kinchen; Shari Shanklin; James Ross; Joseph Hawkins; William A Harris; Richard Lowry; Tim McManus; David Chyen; Connie Lim; Lisa Whittle; Nancy D Brener; Howell Wechsler
Journal:  MMWR Surveill Summ       Date:  2010-06-04

7.  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

  7 in total

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