title: Psychometric characteristics of the minimum data set I: confirmatory factor analysis.
abstract: OBJECTIVE
  To determine the structure and statistical reliability of the federally mandated Minimum Data Set (MDS).
  
  
  METHODS
  Confirmatory, hypothesis-testing factor analysis was performed on MDS protocols of 733 nursing home residents.
  
  
  METHODS
  All participants were residents of the Philadelphia Geriatric Center.
  
  
  METHODS
  Participants represented consecutively admitted skilled and intermediate care residents and another pool of residents with probable dementia.
  
  
  METHODS
  MDS protocols were completed by nurse care coordinators. Item composites hypothesized represented the domains of cognition, activities of daily living, time use, social quality, depression, and problem behaviors.
  
  
  RESULTS
  For higher functioning residents (n = 336) and for all residents together, all domain clusters except social quality were confirmed. None of the domain clusters were confirmed within the more impaired (n = 391) group.
  
  
  CONCLUSIONS
  The MDS does provide usable indicators of five areas of basic competence of nursing home residents. Lack of reliability in rating many aspects of the behavior and states of cognitively impaired residents is evident, however. Improvement of such measures and rating procedures constitutes a major research priority.
authors.affiliation: Polisher Research Institute, Philadelphia Geriatric Center, Thomas Jefferson University, Pennsylvania 19141, USA.
authors.forename: R
authors.initials: R
authors.lastname: Casten
authors.forename: M P
authors.initials: MP
authors.lastname: Lawton
authors.forename: P A
authors.initials: PA
authors.lastname: Parmelee
authors.forename: M H
authors.initials: MH
authors.lastname: Kleban
mesh_terms: D000203:Activities of Daily Living / Q000145:classification; D000368:Aged; D000369:Aged, 80 and over; D002908:Chronic Disease / Q000453:epidemiology*; D003625:Data Collection / Q000706:statistics & numerical data; D003704:Dementia / Q000453:epidemiology; D005163:Factor Analysis, Statistical; D005260:Female; D015577:Geriatric Assessment / Q000706:statistics & numerical data*; D006707:Homes for the Aged / Q000706:statistics & numerical data*; D006801:Humans; D008297:Male; D009735:Nursing Homes / Q000706:statistics & numerical data*; D011594:Psychometrics; D011788:Quality of Life; D012680:Sensitivity and Specificity