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4-8 July 2016 Venue: University of Manchester - methods@manchester Summer School Presenters: Dr Nick Shyrane and Dr Bram Vanhoutte Summary This is a hands-on course intended for applied doctoral or post-doctoral researchers who are familiar with regression methods and who want to broaden and deepen their range of analytical skills. The full course comprises four days; the first two days introduce the building blocks of Structural Equation Modelling (SEM). The second two days cover Mplus' advanced extensions to SEM, which put unprecedented modelling power and flexibility into the hands of the applied researcher. Part 1 (days 1-2) SEM extends standard regression modelling in two fundamental ways. First, SEMs can contain a Mediator/Path/Structural element, whereby multiple outcome variables can be included in the same model, and where these variables can be arranged in 'causal' chains. Second, SEMs can contain unobserved, latent predictors, e.g. latent factors. Part 2 (days 3-4) Part II of the course shows how greater modelling flexibility can be gained by exploiting Mplus' advanced features for dealing with non-normally distributed variables. Students will be shown how to extend factor analysis to binary and ordinal outcome variables. The assumption that latent variables should be normally distributed can also be relaxed, allowing for latent groups or classes of individuals to be modelled. We also consider the topic of measurement invariance across groups, i.e. the assumption that the latent variables actually 'mean' the same things to different people. The course will: 1. Introduce the student to a suite of Structural Equation and Latent Variable models 2. Show how to estimate these models using the Mplus statistical package. 3. Show how to interpret the output of these models. 4. Show how these models can be used to address substantive research questions. Course tutors The course will be taught by Dr Nick Shyrane<http://staffprofiles.humanities.manchester.ac.uk/Profile.aspx?Id=N.Shryane&curTab=2> and Dr Bram Vanhoutte<https://manchester.academia.edu/BramVanhoutte> Course requirements We assume that students are experienced users of regression models (linear and logistic). No prior experience of using Mplus is required. If you are an experienced user of normal-theory SEMs and are looking to learn about the advanced features in Mplus for dealing with non-normality, it may be possible to attend just Part 2 of the course; please contact the course convenor ([log in to unmask]<mailto:[log in to unmask]>) to discuss. Booking is open via www.methods.manchester.ac.uk<http://www.methods.manchester.ac.uk> Course fees Students £600 | Other attendees £900 Methods@Manchester | G9 Humanities Bridgeford Street | University of Manchester | Manchester | M13 9PL Tel 0161 275 0796 Internal 50796 www.methods.manchester.ac.uk You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank.