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Latent mean structure analysis: a technique to compare group differences in a second-order quality of life model
Karen H Sousa1, Fang Fang Chen
1College of Nursing, Arizona State University, Tempe 85287-2602, USA. karen@asu.edu
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.
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