title: Interpreting the psychometric properties of the components of primary care instrument in an elderly population.
abstract: OBJECTIVE
  To determine the psychometric properties of the Components of Primary Care Instrument (CPCI) in a patient population aged 65 or older.
  
  
  METHODS
  795 participants in the OKLAHOMA Studies, a longitudinal population-based study of predominantly Caucasian, elderly patients, completed the CPCI. Reliability analysis and confirmatory factor analysis were done to provide psychometric properties for this elderly sample. Models were constructed and tested to determine the best fit for the data including the addition of a method factor for negatively worded items.
  
  
  RESULTS
  Cronbach's alphas were comparable to values reported in prior studies. The confirmatory factor analysis with factor inter-correlations and a method factor each improved the fit of the factor model to the data. The combined model's fit approached the level conventionally recognized as adequate.
  
  
  CONCLUSIONS
  CPCI appears to be a reliable tool for describing patient perceptions of the quality of primary care for patients over age 65.
authors.affiliation: OUHSC Department of Family and Preventive Medicine, 900 N. E. 10th St., Oklahoma City, OK 73104, USA. cheryl-aspy@ouhsc.edu
authors.forename: Cheryl B
authors.initials: CB
authors.lastname: Aspy
authors.forename: Robert M
authors.initials: RM
authors.lastname: Hamm
authors.forename: Kyle J
authors.initials: KJ
authors.lastname: Schauf
authors.forename: James W
authors.initials: JW
authors.lastname: Mold
authors.forename: Susan
authors.initials: S
authors.lastname: Flocke