Revealing hidden change through a response shift lens: The role of latent variable models
Description
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.
Intended Audience
Response Shift SIG members and new investigators
Level of Knowledge Needed
Intermediate
Audience Benefits
This webinar will provide the audience with:
- Insight to Response Shift methodology
- Statistical methods using latent variable models
- Response shift statistics
Learning Outcomes/Objectives
- Expand understanding of response shift
- Include response shift focus in QOL studies
Presenters
- 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
Organized By:
ISOQOL Response Shift SIG
ISOQOL members receive complimentary access to webinars. Learn more about becoming a member.
The International Society for Quality of Life Research (ISOQOL) is a global community of researchers, clinicians, health care professionals, industry professionals, consultants, and patient research partners advancing health related quality of life research (HRQL).
Together, we are creating a future in which patient perspective is integral to health research, care and policy.