| CODE | SOR5262 | ||||||||||||
| TITLE | Structural Equation Modeling | ||||||||||||
| UM LEVEL | 05 - Postgraduate Modular Diploma or Degree Course | ||||||||||||
| MQF LEVEL | 7 | ||||||||||||
| ECTS CREDITS | 10 | ||||||||||||
| DEPARTMENT | Statistics and Operations Research | ||||||||||||
| DESCRIPTION | Students taking this unit study-will be covering the topics which follow: - Path Analysis and Partitioning of Variance; - Structural Equation Models with Observed Variables; - The Measurement Model; - Confirmatory Factor Analysis; - The Structural Equation Model; - An Application using Structural Equation Modeling. Study-Unit Aims: Building up on knowledge acquired from other study-units covered in the undergraduate course, this study-unit aims to provide students with a sound background, both in theory and in applicability, which would lead them to appreciate the versatile repertoire of mathematical tools which structural equation modeling offers in modeling relationships between latent and observed variables. Learning Outcomes: 1. Knowledge & Understanding: By the end of the study-unit the student will be able to: - Handle the main theoretical results involved in mastering the technique of structural equation modeling, with particular emphasis placed on the understanding of the similarities and differences in applicability of different estimation techniques; - Have a clear idea of how to go about analyzing relationships arising out of deep and hidden structures between one or more observed or latent independent variables and one or more observed or latent dependent variables. 2. Skills: By the end of the study-unit the student will be able to: - Use specific software to solve a practical problem; - Choose the right estimation technique in dealing with real life data; - Recognize limitations which might be present at each of the steps involved in constructing the structural equation model. Main Text/s and any supplementary readings: - Bollen K.A. (1989) Structural Equations with Latent Variables, Wiley. - Schumacker R.E., Lomax R.G. (2004) A Beginner's Guide to Structural Equation Modeling, LEA. - Hoyle R.H. (1995) Structural Equation Modeling, Concepts, Issues and Applications, SAGE. - Maruyama G.M. (1998) Basics of Structural Equation Modeling, SAGE. - Kaplan D. (2000) Structural Equation Modeling, Foundations and Extensions, SAGE. - Raykov T., Marcoulides G.A. (2000) A First Course in Structural Equation Modeling, LEA. - Bollen K.A., Long J.S. (1993) Testing Structural Equation Models, SAGE. - Tabachnik B.G., Fidell L.S. (2001) Using Multivariate Statistics, Allyn and Bacon. |
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| ADDITIONAL NOTES | Pre-requisite Study-units: SOR2120, SOR2211, SOR2221, SOR3210 | ||||||||||||
| STUDY-UNIT TYPE | Independent Study | ||||||||||||
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The University makes every effort to ensure that the published Courses Plans, Programmes of Study and Study-Unit information are complete and up-to-date at the time of publication. The University reserves the right to make changes in case errors are detected after publication.
The availability of optional units may be subject to timetabling constraints. Units not attracting a sufficient number of registrations may be withdrawn without notice. It should be noted that all the information in the description above applies to study-units available during the academic year 2023/4. It may be subject to change in subsequent years. |
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