This paper introduces Health and Place readers interested in studying the latent concept of satisfaction to the methodology of latent variable analysis. In particular, some suitable methods for analyzing individual opinions expressed on ordinal scales are illustrated. The basic theory behind these methods is explained and a step by step description of how they should be used in practice is given. The discussion of the subject starts with the simplest methods, in which opinions are grouped into two categories: typically positive and negative. Furthermore, more complex methods are presented to deal with opinions expressed on ordinal scales (e.g., very satis.ed, somewhat satis.ed, and not satis.ed). All methods are described by showing various results obtained through the analysis of a dataset containing patients’ opinions about their satisfaction with hospital care, collected through a survey conducted after their discharge from an Italian hospital. The database was created using a questionnaire covering different aspects of satisfaction and a .ve-point Likert scale. This represents an example of multi-level data: patients are clustered according to the hospital ward in which they were hospitalized. Thus, some speci.c latent variable methods able to deal with this particular structure of the data are also described.

Evaluating patient satisfaction through latent class factor analysis

CAVRINI, GIULIA;GALIMBERTI, GIULIANO;SOFFRITTI, GABRIELE
2009

Abstract

This paper introduces Health and Place readers interested in studying the latent concept of satisfaction to the methodology of latent variable analysis. In particular, some suitable methods for analyzing individual opinions expressed on ordinal scales are illustrated. The basic theory behind these methods is explained and a step by step description of how they should be used in practice is given. The discussion of the subject starts with the simplest methods, in which opinions are grouped into two categories: typically positive and negative. Furthermore, more complex methods are presented to deal with opinions expressed on ordinal scales (e.g., very satis.ed, somewhat satis.ed, and not satis.ed). All methods are described by showing various results obtained through the analysis of a dataset containing patients’ opinions about their satisfaction with hospital care, collected through a survey conducted after their discharge from an Italian hospital. The database was created using a questionnaire covering different aspects of satisfaction and a .ve-point Likert scale. This represents an example of multi-level data: patients are clustered according to the hospital ward in which they were hospitalized. Thus, some speci.c latent variable methods able to deal with this particular structure of the data are also described.
G. Cavrini; G. Galimberti; G. Soffritti
File in questo prodotto:
Eventuali allegati, non sono esposti

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11585/84264
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? 2
  • Scopus 7
  • ???jsp.display-item.citation.isi??? 8
social impact