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Response Shift: Methods

Revealing hidden change through a response shift lens

Organized By: Response Shift SIG

Series Description
The aims of the 2 webinars are to engage ISOQOL membership, expand understanding of Response Shift detection methods, and promoting the discussion of RS with key stakeholders. Experts within the different RS field are invited to give the 2 webinars. In the webinars we aim to especially reach out to instigators not so familiar with the RS methodology and young investigators. It is not always easy to see and interpret change. Using a response shift lens, this webinar series will introduce common methods that are used to provide insight in change in patient-reported outcomes.

Intended Audience: 
Response Shift SIG members, New investigators

Level of knowledge needed: Intermediate

Audience Benefits: This webinar will provide the audience with:
  • Insight to Response Shift methodology
  • Change through a Response Shift lens.
Learning Outcomes/Objectives:
  • Expand understanding of response shift.
  • Include response shift focus in QOL studies.

This series includes the following webinars:
This webinar will focus on the role of individualized methods. Using a vignette, the audience will consider changes that people could report when experiencing a health catalyst. How these changes can affect responses to standardized, “one-size-fits-all” questionnaires will be discussed. The use of an individualized measure as part of the measurement strategy when response shift is a likely occurrence will be motivated. The webinar will conclude with how the data from one individualized measure, the Patient Generated Index (PGI), could be used to inform response shift.
  • Speaker: Nancy Mayo, PhD, Professor, Faculty of Medicine and Health Sciences, McGill University
  • Moderator: Gudrun Rohde, PhD, Professor in Health Sciences, Faculty of Health and Sport Sciences, University of Agder

    Webinar #2: Revealing hidden change through a response shift lens: The role of latent variable models
    This webinar will focus on the role of latent variable models. Statistical methods using latent variable models are amongst the most popular approaches used for investigating response shift. However, the concept of latent variables is difficult to grasp and their application to analyses of response shift is rarely explicated in ways that are broadly accessible. Results from latent variable models are therefore easily misinterpreted. This webinar aims to bridge the gap between theoretical underpinnings of latent variable models and operationalizations of response shift. In doing so, attendees will gain a better understanding of response shift results from latent variable models, including structural equation models, item-response and Rasch measurement models, and latent variable mixture models.
  • Mathilde Verdam, PhD, Research Associates, Department of Medical Psychology, Academic Medical Centre, Amsterdam UMC
  • Véronique Sebille, PhD, Professor, SPHERE U1246 University of Nantes, France
  • Rick Sawatzky, PhD RN, Professor in Nursing, Trinity Western University

  • Moderator:
  • Richard Skolasky, ScD, Professor, Orthopaedic Surgery and Physical Medicine & Rehabilitation, Director, Spine Outcomes Research Center, Johns Hopkins University

  • ISOQOL members receive a discounted rate. To view membership rates, click  here.
    Purchase this series: