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Applications of structural equation modelling in clinical and health psychology research
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This chapter discusses applications of structural equation modelling (SEM, or causal modelling) in clinical and health psychology research. It outlines path diagrams, measurement models, structural models, the inclusion of latent variables, validity (factorial and construct), and measurement invariance. Structural hypotheses are also explored, along with caveats for the use of SEM.
Title: Applications of structural equation modelling in clinical and health psychology research
Description:
This chapter discusses applications of structural equation modelling (SEM, or causal modelling) in clinical and health psychology research.
It outlines path diagrams, measurement models, structural models, the inclusion of latent variables, validity (factorial and construct), and measurement invariance.
Structural hypotheses are also explored, along with caveats for the use of SEM.
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