Structural Equation Modelling

SOST70073 Structural Equation Modelling 20 Postgraduate Taught Level 7 Nicholas Shryane Unit coordinator Social Statistics 1 FHEQ level (Framework for Higher Education Qualifications) ' Masters/Integrated Masters P4 ' European Credit Transfer & Accumulation System Rating : 10.0 This unit aims to introduce students to the theoretical principles of structural equation and latent variable modelling and provide the required practical skills to run various types of models in R and RStudio. The course unit is designed to help students develop technical competence and robust foundations of the underlying principles of these methods to be able to competently interpret analyses output.  This unit aims to introduce students to the theoretical principles of structural equation and latent variable modelling and provide the required practical skills to run various types of models in R and RStudio. The course unit is designed to help students develop technical competence and robust foundations of the underlying principles of these methods to be able to competently interpret analyses output.  The unit aims to: Develop student ability to specify, estimate, interpret, and critically discuss a range of modern latent variable and structural equation models based on relevant research questions using R and RStudio.  · Recognise the nature of structural equation modelling and its relationship to other statistical methods;  · Distinguish between types of models used given different variables of interest;  · Identify the contexts where different structural equation models are appropriate.  · Evaluate latent variable and/or structural equation modelling published in scholarly journals;  · Translate conceptual theories/hypotheses into appropriate latent variable and structural equation models;  · Derive appropriate scientific inferences from the results of structural equation models.  · Utilise R and RStudio to specify and fit a range of structural equation and latent variable models to social datasets;  · Interpret the parameter estimates generated by different structural equation and latent variable models.  · Synthesise evidence from relevant literature and individual analyses;  · Formulate research questions and apply appropriate statistical models to address them;  · Formulate, organise, express, and communicate data-driven opinions effectively.  The course unit will consist of asynchronous videos, interactive activities, and online guided readings. In addition, there will be frequent synchronous sessions such as seminars, tutorials, and/or practicals. The students will apply taught concepts by conducting a methodological critique for which they will receive formative feedback. A mid-term assessed test will evaluate student understanding of the taught concepts and together with the formative critique, will provide students with the necessary knowledge foundations to complete their final assessment. This will involve the producing an analysis report covering the main techniques taught throughout the course unit. Students will also be provided with additional materials such as assigned readings, video demonstrations, and various individual and group activities to supplement their learning.  0 Other 100% Methodological Critique (500 words, non-assessed) Test (20 questions, 25%) Analysis Report (2500 words, 75%)  Online feedback within 15 working days.   N Hoyle, R.H. (2012). Handbook of Structural Equation Modelling. New York: The Guildford Press.  Kline, K. (2016). Principles and Practice of Structural Equation Modelling. 4th Ed. New York: Guildford. For Information and advice on Link2Lists reading list software, see: http://www.library.manchester.ac.uk/academicsupport/informationandadviceonlink2listsreadinglistsoftware/  0 0 173 There will be no on-campus contact hours and learning will take place fully online. Contact time – 27 hours