MSc Organisational Psychology
Year of entry: 2020
Course unit details:
Research Skills for Professional Practice 2
|Unit level||FHEQ level 7 – master's degree or fourth year of an integrated master's degree|
|Teaching period(s)||Semester 2|
|Offered by||Alliance Manchester Business School|
|Available as a free choice unit?||No|
Listwise and pairwise deletion of missing data versus imputation based on expectation maximization and data augmentation.
Reliability including test-retest, parallel form, and internal consistency estimates.
Content, criterion, construct, convergent and divergent validity.
Exploratory factor analysis including estimation methods, rotation, and determination of the number of factors.
Structural equation modelling including confirmatory factor analysis, structural models, and model specification, estimation, and assessment of fit.
Meta-analysis including effect sizes, method artefacts, assessment of heterogeneity, fixed and random effects models, moderator variables.
Multilevel data analysis.
To introduce students to advanced quantitative research methods.
To provide a grounding in structural equation modelling.
To provide a grounding in secondary data analysis.
To provide a grounding in longitudinal data analysis.
On completion of this unit successful participants will be able to:
- apply advanced quantitative analysis methods to research data;
- design and carry out a survey
- carry out multilevel data analysis
- understand meta-analysis
|Written assignment (inc essay)||100%|
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.
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.
|Scheduled activity hours|
|Independent study hours|
|Paul Irwing||Unit coordinator|
Informal Contact Method
Drop in Surgeries (extra help sessions for students on material they may be struggling with)