| Module Title |
Group Research Project & Advanced Statistics |
| Module Code |
PSY1096 |
|
Faculty |
Science & Health |
School |
Psychology |
|
NFQ level |
8 |
Credit Rating |
7.5 |
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Description
This module will provide an understanding of advanced statistical tests, when to use them, how to report them and how to interpret them. This module will also enable students to work as a team in designing, carrying out and reporting a research project within the subject of psychology. Each group will be facilitated by an experienced staff member who will provide guidance and advice throughout the process.
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Learning Outcomes
1. Explain what multivariate analysis is and when its application is appropriate
2. Explain the appropriate usage of and interpret the results of dependence and interdependence multivariate techniques
3. Evaluate and review empirical research using multivariate statistics
4. Work in a group towards a common research goal
5. Disseminate research findings in appropriate formats
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| Workload | Full time hours per semester | | Type | Hours | Description |
|---|
| Lecture | 11 | Indicative syllabus | | Group Based Workshops | 11 | Facilitated sessions to progress group research | | Laboratory | 20 | Computer based workshops | | Class Presentation | 2 | Poster presentation | | Group work | 80 | Independent group work to work on project | | Independent Study | 68.5 | No Description |
| Total Workload: 192.5 |
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| Section Breakdown | | CRN | 11613 | Part of Term | Semester 1 | | Coursework | 60% | Examination Weight | 40% | | Grade Scale | 40PASS | Pass Both Elements | N | | Resit Category | RC1 | Best Mark | N | | Module Co-ordinator | Simon Dunne | Module Teacher | |
|
| Assessment Breakdown |
| Type | Description | % of total | Assessment Date |
|---|
| Project | Group project written assessment work (including group report and Research Poster) | 60% | n/a | | Formal Examination | n/a | 40% | End-of-Semester |
| Reassessment Requirement Type |
Resit arrangements are explained by the following categories;
RC1: A resit is available for both* components of the module.
RC2: No resit is available for a 100% coursework module.
RC3: No resit is available for the coursework component where there is a coursework and summative examination element.
* ‘Both’ is used in the context of the module having a coursework/summative examination split; where the module is 100% coursework, there will also be a resit of the assessment
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Pre-requisite |
None
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Co-requisite |
None |
| Compatibles |
None |
| Incompatibles |
None |
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All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml
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Indicative Content and Learning Activities
Statistical Techniques
• Preparing for multivariate analysis (e.g. examining your data, missing data analysis, outliers, assumptions, data transformation)
• Factor analysis
• Dependence techniques (e.g. multiple regression analysis, multiple discriminant analysis, logistic regression, multivariate analysis of variance)
• Interdependence techniques (e.g. multidimensional scaling)
Research project work
Facilitated groupwork
Research design, recruitment and data analysis
Research dissemination
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Indicative Reading List
Books:
- Barbara G. Tabachnick,Linda S. Fidell: 2017, Using Multivariate Statistics, 6th, Pearson, 9352861752
- Andy Field: 2024, Discovering Statistics Using IBM SPSS Statistics, Sage Publications Limited, 0, 1529630002
- Kellie Bennett,Dr Brody Heritage,Dr Peter Allen: 2022, SPSS Statistics: A Practical Guide 5e, Cengage AU, 23, 0170460169
- Judith Bell,Stephen Waters: 0, Doing Your Research Project?, 0335252427
- Julie Pallant: 2026, SPSS Survival Manual, Routledge, 0, 1041096534
- Levin, Peter: 2004, Student-Friendly Guide: Successful Teamwork!, McGraw-Hill Education (UK), 138, 0335215785
- JOHN. DANCEY REIDY (CHRISTINE.),Christine Dancey: 2020, Statistics Without Maths for Psychology, 1292463449
- JOSEPH F. HAIR: 0, MULTIVARIATE DATA ANALYSIS., 9353501350
Articles:
None |
Other Resources
None |
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