Factor analyses are often used to examine latent variables underlying a set of observed variables. While exploratory factor analyses (EFA) are commonly used, the findings are not definitive and there are few useful methods to determine superiority of different EFA models. In contrast, confirmatory factor analyses are used to test models defined in an a priori manner and different goodness of fit indicators are available. However, confirmatory factor analyses are complex if one uses the traditional syntax commands in LISREL. In this chapter, primary factor and hierarchical confirmatory factor analyses as well as factorial invariance were examined based on the data collected in the Project P.A.T.H.S. in Hong Kong. It is expected that through a step-by-step approach, researchers and students can understand the basic procedures in performing confirmatory factor analyses using SIMPLIS commands in LISREL.
|Title of host publication||Human Developmental Research|
|Subtitle of host publication||Experience from Research in Hong Kong|
|Publisher||Nova Science Publishers, Inc.|
|Number of pages||15|
|Publication status||Published - 1 Jan 2014|
ASJC Scopus subject areas
- Social Sciences(all)