Abstract
After building the general structural equation model, the stability of the model will be tested over time. This chapter introduces panel analysis of repeated measures, or longitudinal data. A panel design is a longitudinal study of the same individuals over time. This design is very useful for comparing a number of treatment and control groups, regardless of whether individuals have been assigned randomly to the groups or not. Causal relationships among the study variables may be more appropriately detected in a panel design than in a cross-sectional design. Working with the same observations (i.e. organizations), the effects of many exogenous variables in the analysis can be statistically controlled. Thus, the structural relationships between the endogenous and the exogenous variables become more clearly delineated in a longitudinal study. The LISREL model can be used to analyze panel data with equality constraints applied (Table 29).
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Wan, T.T.H. (2002). Multiple Group Comparison with Panel Data. In: Evidence-Based Health Care Management. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-0795-6_10
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DOI: https://doi.org/10.1007/978-1-4615-0795-6_10
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