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Description
Revealing hidden change through a response shift lens: The role of latent variable models
Organized By: Response Shift SIG
Organized By: Response Shift SIG
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 AudienceThis 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.
Anyone interested in measuring change over time using PROs.
Including researchers as knowledge users, clinicians, industry and regulating bodies, as well as 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
- Expand understanding of response shift
- Include response shift focus in QOL studies.
Recording Policy
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*This webinar is also available in a series.
*ISOQOL members receive a discounted rate. To view membership rates, click here.