Course unit details:
Research Skills for Professional Practice 2
Unit code | BMAN71992 |
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Credit rating | 15 |
Unit level | FHEQ level 7 – master's degree or fourth year of an integrated master's degree |
Teaching period(s) | Semester 2 |
Available as a free choice unit? | No |
Overview
Multiple regression including direct, mediated and moderated forms of analysis.
Methods beyond multiple regression for analysing complex organisational data, including, path analysis and multilevel modelling.
Structural equation modelling using Mplus, including, confirmatory factor analysis, structural models, and model specification, estimation, and assessment of fit.
Becoming a skilled research consumer: Assessing the robustness of research, issues surrounding replication, and meta-analysis.
The design and analysis of workplace interventions.
Pre/co-requisites
Aims
To provide students with the skills to specify, run, and interpret complex multiple regression models, including mediation and moderation models.
To provide students with the skills to specify, run, and interpret complex structural equation models regression models.
To introduce students to advanced quantitative methods essential for nuanced analysis of organisational data, including meta-analysis and multilevel data analysis.
Learning outcomes
On completion of this unit successful participants will be able to:
• Conduct multiple regression using SPSS
• Conduct confirmatory factor analysis using Mplus
• Conduct structural equation modelling using Mplus
• Understand data imputation
• Understand multilevel data analysis
• Understand meta-analysis
Assessment methods
Written assignment 100%
Feedback methods
Informal advice and discussion during a lecture, seminar, workshop or lab.
Responses to student emails and questions from a member of staff including feedback provided to a group via an online discussion forum.
Written and/or verbal comments on assessed or non-assessed coursework.
Recommended reading
Hair, J. F., Jr., Anderson, R. E., Tatham, R. L. & Black, W. C. (2009). Multivariate Data Analysis (7TH Edition). Upper Saddle River, NJ: Prentice-Hall.
Field, Andy (2013) Discovering Statistics using IBM SPSS for Windows, Sage Publications.
Blunch, N. J., (2008). Introduction to structural equation modelling using SPSS and Amos. Thousand Oaks, CA: Sage.
Byrne, B. (2009). Structural equation modelling with AMOS: Basic concepts, application and programming, 2nd Ed. New York, NY: Routledge.
Kline, R. B. (2005). Principles and Practice of Structural Equation Modelling. London: The Guilford Press.
Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2009). Introduction to meta-analysis. Chichester: Wiley.
Muthén, L. K., & Muthén, B. O. (2012). Mplus user’s guide (7th ed.). Los Angeles, CA: Muthén & Muthén.
Study hours
Scheduled activity hours | |
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Lectures | 30 |
Independent study hours | |
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Independent study | 120 |
Teaching staff
Staff member | Role |
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Paul Irwing | Unit coordinator |
Additional notes
Informal Contact Method
Office Hours
Drop in Surgeries (extra help sessions for students on material they may be struggling with)