MSc Organisational Psychology

Year of entry: 2020

Course unit details:
Research Skills for Professional Practice 2

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

Overview

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.

Pre/co-requisites

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

Aims

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.

Learning outcomes

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

Assessment methods

Method Weight
Written assignment (inc essay) 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
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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