Information regarding our 2023/24 admissions cycle

Our 2023/24 postgraduate taught admissions cycle will open on Monday, 10 October. For most programmes, the application form will not open until this date.

MSc Business Psychology

Year of entry: 2023

Course unit details:
Research Skills for Professional Practice 2

Course unit fact file
Unit code BMAN71992
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
Offered by Alliance Manchester Business School
Available as a free choice unit? No


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.


BMAN71992 Programme Req: BMAN71992 is only available as a core unit to students on MSc Business Psychology and MSc Organisational Psychology


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 (2,000 words) 60%
Multiple choice tests 40%

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
Lectures 30
Independent study hours
Independent study 120

Teaching staff

Staff member Role
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)

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