Latent mean structure analysis: a technique to compare group differences in a second-order quality of life model

J Nurs Meas. 2003 Winter;11(3):253-66. doi: 10.1891/jnum.11.3.253.61272.

Abstract

The challenge in using conceptual models to measure multidimensional outcome concepts has been the inability to statistically compare group differences. An illustration of latent mean structure analysis using a second-order factor model representing quality of life is presented. Tests for the structure of the second-order factor model representing quality of life, and for its invariance across the 2 groups were based on the analysis of latent mean structures. Group means on the first-order factors could be compared and there were significant differences. Nursing researchers are often interested in studying theoretical constructs that cannot be measured directly. This analysis demonstrated a process by which means of a quality of life conceptual model could be compared between groups.

Publication types

  • Research Support, U.S. Gov't, P.H.S.
  • Review

MeSH terms

  • Factor Analysis, Statistical
  • HIV Infections
  • Humans
  • Models, Theoretical
  • Nursing Research / statistics & numerical data
  • Psychometrics / methods*
  • Quality of Life*