Review of analysis techniques in mental health research with consumer instruments – a guide for researchers

What is it about?

The analysis of consumer measures are limited to approaches involving linear, hierarchical and longitudinal effects. In particular, such measures are widely analysed using Structural Equation Modelling, Multivariable Regression Models, Intraclass correlation coefficient (ICC) and Primer on Partial Least Squares Structural Equation Modelling. However, there is relatively no attempt towards the use of complex data mining or machine learning approach to improve consumer health outcomes.

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