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Short Course: Structural Equation Modelling using Mplus (intermediate)

Dates:22 February 2017 - 24 February 2017
Times:All day
What is it:Short course
Organiser:Cathie Marsh Institute for Social Research
How much:£585 / £420 for those from educational and charitable institutions / The Cathie Marsh Institute (CMIST) offers five free places to research staff and students within the Faculty of Humanities at The University of Manchester and the North West Doctoral Training Centre. Postgraduate students requesting a free place will be required to provide a letter of support from their supervisor.
Who is it for:University staff, Current University students, General public
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  • http://www.cmist.manchester.ac.uk/study/short/list/

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  • In category "Short course"
  • By Cathie Marsh Institute for Social Research

Structural Equation Models (SEM) amalgamate regression analysis, path/mediation analysis and factor analysis, allowing for more richly detailed statistical models to be specified and compared to data than by using these techniques individually.

Historically, SEM models were confined to the analysis of continuous observed data, limiting their usefulness in applied social research, where many phenomena are inherently discrete or are measured only with coarse-grained instruments.

Advances in recent years have made available SEM methods for categorical data to applied researchers. This course covers both linear SEM and generalized SEM for non-continuous outcomes, as well as models with non-continuous latent variables, i.e. latent classes.

Price: £585

Concessions: £420 for those from educational and charitable institutions

Offers: The Cathie Marsh Institute (CMIST) offers five free places to research staff and students within the Faculty of Humanities at The University of Manchester and the North West Doctoral Training Centre. Postgraduate students requesting a free place will be required to provide a letter of support from their supervisor.

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Humanities Bridgeford Street
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Michelle Kelly

0161 275 4579

cmist-courses@manchester.ac.uk

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