Skip to main content

Advertisement

SpringerLink
Log in

Using structural equation modeling to detect response shifts and true change

  • Published:
Quality of Life Research Aims and scope Submit manuscript

Abstract

The assessment of change in patient-reported outcomes is hindered by the fact that there are different types of change. Besides ‘true’ change, different types of response shift, such as recalibration, reprioritization, and reconceptualization, may occur. We describe how structural equation modeling can be used to detect response shifts and to measure true change.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • MAG Sprangers CE Schwartz (1999) ArticleTitleIntegrating response shift into health-related quality-of-life research: A theoretical model. Soc Sci Med 48 1507–1515

    Google Scholar 

  • CE Schwartz MAG Sprangers (1999) ArticleTitleMethodological approaches for assessing response shift in longitudinal health-related quality-of-life research. Soc Sci Med 48 1531–1548

    Google Scholar 

  • AA Armenakis (1988) ArticleTitleA review of research on the change typology. Res Org Change Development 2 163–194

    Google Scholar 

  • RC Thompson JG Hunt (1996) ArticleTitleInside the black box of alpha, beta, and gamma change: Using a cognitive-processing model to assess attitude structure. Acad Manage Rev 21 655–690

    Google Scholar 

  • KA Bollen (1989) Structural Equations with Latent Variables. Wiley New York

    Google Scholar 

  • JE Ware KK Snow M Kosinski B Gandek (1993) SF-36 Health Survey: Manual and Interpretation Guide. The Health Institute, New England Medical Center Boston, MA

    Google Scholar 

  • FM Lord MR Novick (1968) Statistical Theories of Mental Test Scores. Addison-Wesley Reading, MA

    Google Scholar 

  • FJ Oort (2001) ArticleTitleThree-mode models for multivariate longitudinal data. Br J Math Statist Psychol 54 49–78

    Google Scholar 

  • KG Jöreskog D Sorbom (1996) LISREL 8 User’s Guide EditionNumber2 Scientific Software International, Inc. Chicago, IL

    Google Scholar 

  • J Cohen (1988) Statistical Power Analysis for the Behavioral Sciences EditionNumber2 Erlbaum Hillsdale, NJ

    Google Scholar 

  • MW Browne R Cudeck (1992) ArticleTitleAlternative ways of assessing model fit. Sociol Meth Res 21 230–258

    Google Scholar 

  • RC MacCallum MW Browne HM Sugawara (1996) ArticleTitlePower analysis and determination of sample size for covariance structure modeling. Psychol Meth 2 130–149

    Google Scholar 

  • A Satorra WE Saris (1985) ArticleTitleThe power of the likelihood ratio test in covariance structure analysis. Psychometrika 50 83–90

    Google Scholar 

  • Oort FJ. Types of change in self-report data: Definition, interpretation, and operationalization. In: Andes N, Blasius J, Van Dijkum C, Ganzeboom H, Kleijer H, editors. Recent Developments and Applications in Social Research Methodology; Proceedings of the Sixth International Conference on Social Science Methodology [CD-ROM]. Amsterdam: TT-Publikaties; in press.

  • RT Golembiewski K Billingsley S Yeager (1976) ArticleTitleMeasuring change and persistence in human affairs: Types of change generated by OD designs. J Appl Behav Sci 12 133–157

    Google Scholar 

  • N Schmitt (1982) ArticleTitleThe use of analysis of covariance structures to assess beta and gamma change. Mulitivariate Behav Res 17 343–358

    Google Scholar 

  • N Schmitt ED Pulakos A Lieblein (1984) ArticleTitleComparison of three techniques to assess group-level beta and gamma change. Appl Psychol Measure 8 249–260

    Google Scholar 

  • RE Millsap SB Hartog (1988) ArticleTitleAlpha, beta, and gamma change in evaluation research: A structural equation approach. J Appl Psychol 73 IssueID3 574–584

    Google Scholar 

  • FJ Oort PT Nieuwkerk MAG Sprangers (2001) ArticleTitleUsing item response theory and structural equation modeling to investigate response shifts. Qual Life Res 10 204

    Google Scholar 

  • MRM Visser FJ Oort MAG Sprangers (2005) ArticleTitleMethods to detect response shift in quality of life data: a convergent validity study. Qual Life Res 14 629–639

    Google Scholar 

  • FJ Oort MRM Visser MAG Sprangers (2003) ArticleTitleIncorporating the then-test into the structural equation modeling approach to response-shift detection. Qual Life Res 7 784

    Google Scholar 

  • FJ Oort MRM Visser MAG Sprangers (2005) ArticleTitleAn application of structural equation modeling to detect response shifts and true change in quality of life data from cancer patients undergoing invasive surgery. Qual Life Res 14 599–609

    Google Scholar 

  • BD Rapkin CE Schwartz (2004) ArticleTitleToward a theoretical model of quality-of-life appraisal: Implications of findings from studies of response shift. Health and Quality of Life Outcomes 2 14

    Google Scholar 

  • CE Schwartz BD Rapkin (2004) ArticleTitleReconsidering the psychometrics of quality of life assessment in light of response shift and appraisal. Health and Quality of Life Outcomes 2 16

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Medical Psychology, Academic Medical Centre, University of Amsterdam, Meibergdreef 15, 1105, AZ, Amsterdam, The Netherlands

    Frans J. Oort

Authors
  1. Frans J. Oort
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Frans J. Oort.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Oort, F.J. Using structural equation modeling to detect response shifts and true change. Qual Life Res 14, 587–598 (2005). https://doi.org/10.1007/s11136-004-0830-y

Download citation

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11136-004-0830-y

Keywords

Search

Navigation