Application of modern psychometric methods to mental health & well-beingISER External Seminars

Abstract It has become common place for researchers to embed multiple measures of mental health and well-being into cohort studies. Analysis of such self-report data has been facilitated by rapid expansion of psychometric modelling methods in Stata and R and by general latent variable modelling frameworks (gllamm/Mplus). Applications of such methods to explore individual differences in personality, mental health and well-being are topical and important for population health. Examples from my research and Cambridge-based teaching initiatives will be presented using materials and understanding gleaned from collaborative cohort studies of common mental disorder. Empirical findings will span research on early personality and mental health in adults, and screening questionnaires.

Presented by:

Tim Croudace (Cambridge)

Date & time:

30 Jan 2012 16:00 pm

External seminars home


Latest findings, new research

Publications search

Search all research by subject and author


Researchers discuss their findings and what they mean for society


Background and context, methods and data, aims and outputs


Conferences, seminars and workshops

Survey methodology

Specialist research, practice and study

Taking the long view

ISER's annual report


Key research themes and areas of interest