Measurement

Clinical Practice (assessment, diagnosis, treatment, knowledge translation/EBP, implementation science, program development)

Symposium

Overview of Good Practices in Reporting Rasch-Based Analysis (625274)

Presenter(s)

• 

  Ann Van de Winckel, PhD, MSPT, PT

  Assistant Professor
  University of Minnesota
  Minneapolis, Minnesota
• 

  Trudy Mallinson, PhD, OTR/L, FACRM

  Associate Professor
  George Washington University
  Washington, District of Columbia
• 

  Jennifer Weaver, PhD(Cand.)

  Adjunct Professor, Research Associate
  The George Washington University
  College Park, Maryland
• 

  Lauren Terhorst, PhD

  Associate Professor and Biostatistician
  Department of Occupational Therapy, School of Health and Rehabilitation Sciences, University of Pittsburgh
  Pittsburgh, Pennsylvania

Panelist(s)

• 

  Allen Heinemann, PhD, FACRM

  Professor
  Northwestern University
  Chicago, Illinois

Presenter(s)

• 

  Allan Kozlowski, PhD, BSc (PT)

  Director of Outcomes Research
  Mary Free Bed Rehabilitation Hospital
  Grand Rapids, Michigan

Members of the Rasch Emerging Good Practices Task Force will report on their efforts in developing best practices for reporting scale development or expand validation of existing scales that include Rasch Measurement Theory. These recommendations will be included in a peer-review manuscript for the journal Archives of Physical Medicine and Rehabilitation. The symposium will start with a comprehensive review of the literature. Further, guidelines for best reporting statistical analyses related to scale development or expanding validation of existing scales will be presented.

Learning Objectives:

• Describe the emerging good practices in reporting analyses using Rasch Measurement Theory
• Distinguish the different elements that need to be reported for validity when analyzing the psychometric properties of a scale that includes Rasch Measurement Theory
• Distinguish the different elements that need to be reported for reliability and responsiveness when analyzing the psychometric properties of a scale that includes Rasch Measurement Theory