title: Rasch analysis for outcomes measures: some methodological considerations.
abstract: OBJECTIVE
  To assess the four approaches to applying Rasch analysis to ordinal, repeated measures: (1) to perform separate Rasch analyses; (2) to perform a single analysis by treating the subjects measured on different occasions as distinct ones; (3) to perform a single analysis by treating items used on different occasions as distinct ones; and (4) to construct a 3-facet model by adding occasions as the third facet.
  
  
  METHODS
  Various Rasch and 3-facet models applied to retrospective, cohort data.
  
  
  METHODS
  A stroke program at a rehabilitation hospital.
  
  
  METHODS
  99 of the 107 consecutive patients admitted between March and October, 1990, average age 69 years, 40% of whom were women, with an average stay of 54 days.
  
  
  METHODS
  Medical inpatient rehabilitation.
  
  
  METHODS
  The Functional Independence Measure (FIM), administered within 1 week of admission and discharge, and approximately 6 weeks after discharge.
  
  
  RESULTS
  The four approaches resulted in various occasion-specific and generalized measures of item difficulty, patient ability, and occasion severity. Although these measures turned out to be congruent with each other as they should, they generated different sources of information needed for formative and summative evaluation of health care outcomes. All four approaches were found to be useful, although each had its own limitations. A four-step strategy based on these approaches was therefore designed and recommended.
  
  
  CONCLUSIONS
  Rasch analysis of ordinal, repeated measures poses a special challenge to those interested in health care outcomes. A multi-method strategy incorporating various approaches is therefore needed to optimize its use in health care research.
mesh_terms: D000203:Activities of Daily Living; D002561:Cerebrovascular Disorders / Q000534:rehabilitation*; D005260:Female; D006801:Humans; D008722:Methods; D008962:Models, Theoretical; D017063:Outcome Assessment, Health Care / Q000145:classification*; D012189:Retrospective Studies