he present paper reexamines the psychometric properties of the Quality Perception Questionnaire (QPQ), an Italian survey instrument measuring patients' perceptions of the quality of a recent hospital admission experience, in a sample of 4400 patients (M age= 56.42 years; SD= 19.71 years, 48.8% females). The 14-item survey measures four factors: satisfaction with medical doctors, nursing staff, auxiliary staff, and hospital structures. First, we tested two models using a confirmatory factor analysis (structural equation modeling): a four orthogonal factor and a four oblique factor model. The SEM fit indices and the χ 2 difference suggested the acceptance of the second model. We then did a simulation using a bootstrap with 1000 replications. Results confirmed the four oblique factor solution. Third, we tested whether there were significant differences with respect to age or sex. The multivariate general linear model showed no significant differences in the factors with respect to sex or age.
Coluccia, A., Ferretti, F., F., L., R., C., A., S., A., F. (2012). A Psychometric Study of the Quality Perception Questionnaire. SWISS JOURNAL OF PSYCHOLOGY, 71(2), 101-106 [10.1024/1421-0185/a000076].
A Psychometric Study of the Quality Perception Questionnaire
COLUCCIA, ANNA;FERRETTI, FABIO;
2012-01-01
Abstract
he present paper reexamines the psychometric properties of the Quality Perception Questionnaire (QPQ), an Italian survey instrument measuring patients' perceptions of the quality of a recent hospital admission experience, in a sample of 4400 patients (M age= 56.42 years; SD= 19.71 years, 48.8% females). The 14-item survey measures four factors: satisfaction with medical doctors, nursing staff, auxiliary staff, and hospital structures. First, we tested two models using a confirmatory factor analysis (structural equation modeling): a four orthogonal factor and a four oblique factor model. The SEM fit indices and the χ 2 difference suggested the acceptance of the second model. We then did a simulation using a bootstrap with 1000 replications. Results confirmed the four oblique factor solution. Third, we tested whether there were significant differences with respect to age or sex. The multivariate general linear model showed no significant differences in the factors with respect to sex or age.File | Dimensione | Formato | |
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https://hdl.handle.net/11365/47839
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