Literature DB >> 16880221

Improving measurement in health education and health behavior research using item response modeling: comparison with the classical test theory approach.

Mark Wilson1, Diane D Allen, Jun Corser Li.   

Abstract

This paper compares the approach and resultant outcomes of item response models (IRMs) and classical test theory (CTT). First, it reviews basic ideas of CTT, and compares them to the ideas about using IRMs introduced in an earlier paper. It then applies a comparison scheme based on the AERA/APA/NCME 'Standards for Educational and Psychological Tests' to compare the two approaches under three general headings: (i) choosing a model; (ii) evidence for reliability--incorporating reliability coefficients and measurement error--and (iii) evidence for validity--including evidence based on instrument content, response processes, internal structure, other variables and consequences. An example analysis of a self-efficacy (SE) scale for exercise is used to illustrate these comparisons. The investigation found that there were (i) aspects of the techniques and outcomes that were similar between the two approaches, (ii) aspects where the item response modeling approach contributes to instrument construction and evaluation beyond the classical approach and (iii) aspects of the analysis where the measurement models had little to do with the analysis or outcomes. There were no aspects where the classical approach contributed to instrument construction or evaluation beyond what could be done with the IRM approach. Finally, properties of the SE scale are summarized and recommendations made.

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Year:  2006        PMID: 16880221     DOI: 10.1093/her/cyl053

Source DB:  PubMed          Journal:  Health Educ Res        ISSN: 0268-1153


  24 in total

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Authors:  Kurubaran Ganasegeran; Kamaraj Selvaraj; Abdul Rashid
Journal:  Malays J Med Sci       Date:  2017-08-18

2.  Rasch analyses of the Activities-specific Balance Confidence Scale with individuals 50 years and older with lower-limb amputations.

Authors:  Brodie M Sakakibara; William C Miller; Catherine L Backman
Journal:  Arch Phys Med Rehabil       Date:  2011-06-25       Impact factor: 3.966

3.  Measuring health-related problem solving among African Americans with multiple chronic conditions: application of Rasch analysis.

Authors:  Stephanie L Fitzpatrick; Felicia Hill-Briggs
Journal:  J Behav Med       Date:  2014-10-16

4.  Applying item response theory (IRT) modeling to questionnaire development, evaluation, and refinement.

Authors:  Maria Orlando Edelen; Bryce B Reeve
Journal:  Qual Life Res       Date:  2007-03-21       Impact factor: 4.147

5.  Development of a brief questionnaire to assess contraceptive intent.

Authors:  Tina R Raine-Bennett; Corinne H Rocca
Journal:  Patient Educ Couns       Date:  2015-06-03

6.  Measuring pregnancy planning: An assessment of the London Measure of Unplanned Pregnancy among urban, south Indian women.

Authors:  Corinne H Rocca; Suneeta Krishnan; Geraldine Barrett; Mark Wilson
Journal:  Demogr Res       Date:  2010-08-06

7.  A psychometric study of the decisional conflict scale in surrogate decision makers.

Authors:  Kristen E Pecanac; Roger L Brown; Jay Steingrub; Wendy Anderson; Michael A Matthay; Douglas B White
Journal:  Patient Educ Couns       Date:  2018-07-07

8.  Psychometric Properties of the Heart Disease Knowledge Scale: Evidence from Item and Confirmatory Factor Analyses.

Authors:  Bee Chiu Lim; Yee Cheng Kueh; Wan Nor Arifin; Kok Huan Ng
Journal:  Malays J Med Sci       Date:  2016-06-30

9.  Young women's perceptions of the benefits of childbearing: associations with contraceptive use and pregnancy.

Authors:  Corinne H Rocca; Cynthia C Harper; Tina R Raine-Bennett
Journal:  Perspect Sex Reprod Health       Date:  2013-02-08

10.  Smartphone Technology and Text Messaging for Weight Loss in Young Adults: A Randomized Controlled Trial.

Authors:  Janna D Stephens; Allison M Yager; Jerilyn Allen
Journal:  J Cardiovasc Nurs       Date:  2017 Jan/Feb       Impact factor: 2.083

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