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Instructional Course

Measurement

IC5: Longitudinal Data Analysis and Practical Workshop Using R: Part I Introductory Topics 5039

Wednesday, October 30, 2024
8:30 AM – 12:30 PM  
Location:  ROOM: De Soto A REGION: Tower Lobby Level >>> DIRECTIONS: From ACRM Registration desk, face the elephants and turn right. Proceed past the lobby elevators and turn right to enter the West Wing. Proceed down the corridor, turn right and then left. De Soto A is the second room on the right.
This combination lecture and hands-on workshop will introduce clinicians and researchers to longitudinal model building using linear mixed effects regression (LMER) in the R statistical environment. Rehabilitation outcomes are better suited to multi-level longitudinal modeling than to pre-post regression or repeated measures analysis of variance (RM-ANOVA). LMER has real advantages over RM-ANOVA in terms of flexibility and statistical power. Following the course, learners will be able to appraise existing data for suitability to LMER, discuss the relevance of such models with statistical consultants, and plan for data collection in future projects which are suited to modeling outcomes longitudinally.
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Learning Objectives:

  • Identify circumstances in which longitudinal mixed-effects regression (LMER) models are appropriate.
  • Discuss measurement issues in rehabilitation related to LMER.
  • Examine longitudinal data and determining a best-fit linear trajectory.
  • Evaluate covariate associations with trajectory parameters.
  • Construct longitudinal linear two-level models of time nested within persons using the R statistical environment.
  • Identify circumstances in which longitudinal mixed-effects regression (LMER) models are appropriate.
Disclosure(s):
Allan J. Kozlowski, PhD, B.Sc. (PT): No financial relationships to disclose
Keith Lohse, PhD: No financial relationships to disclose