Abstract

It is now standard practice in psychopathology research to longitudinally assess the predictive effects of putative etiological factors on symptoms. A common statistical technique employed in the implementation of such research is multiple regression/correlation, with a baseline symptom measure used as a covariate in an analysis of the association between etiological factors and future symptoms. This report highlights the importance of testing the assumption of homogeneity of covariance in such analyses, not only because it is statistically required, but also because it provides theoretically relevant information regarding onset, exacerbation, or remission of symptoms.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.