| Module Title |
Research Methods & Statistics 3 |
| Module Code |
PSY1042 (ITS: PSYC310) |
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Faculty |
Psychology |
School |
Science & Health |
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NFQ level |
8 |
Credit Rating |
5 |
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Description
This module builds on PSYC212 in year 2 and introduces students to sophisticated quantitative research methodologies, designs, and analytical techniques in psychology. It also introduces students to structural equation modelling, latent variable modelling, mediation, and cutting-edge approaches such as psychometric and exploratory network modelling.
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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 as a presentation
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| Workload | Full time hours per semester | | Type | Hours | Description |
|---|
| Lecture | 36 | Psychological skills are supported using learning activities analysing data sets | | Online activity | 13 | Students will access digital resources relating to statistical reasoning, data entry and data visualisation | | Online activity | 37 | Students will complete online activities, and topic-related online loop quizzes | | Independent Study | 39 | Write-up of psychology practicals, becoming familiar with statistical concepts and research methods, identifying and critiquing key readings, report preparation |
| Total Workload: 125 |
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| Section Breakdown | | CRN | 11484 | Part of Term | Semester 1 | | Coursework | 0% | Examination Weight | 0% | | Grade Scale | 40PASS | Pass Both Elements | Y | | Resit Category | RC1 | Best Mark | N | | Module Co-ordinator | Gerard Loughnane | Module Teacher | Louise Hopper |
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| Assessment Breakdown |
| Type | Description | % of total | Assessment Date |
|---|
| Loop Quiz | Completion of online six Loop quizzes relating to the content of the module. | 12% | n/a | | Loop Quiz | Completion of online four Loop quizzes relating to the content of the module, combined with a section covering the writeup of a statistical test. | 28% | n/a | | Report(s) | Write-up of a complete APA-style psychology report with revision opportunity worth 50% of overall module grade. | 50% | n/a | | Report(s) | Structured response letter to the initial report submission | 10% | n/a |
| 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 |
S,
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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
Preparing for multivariate analysis
e.g. examining your data, missing data analysis, outliers, assumptions, data transformation
Dependence techniques
e.g. structural equation modelling and mediation analysis) and methodological approach to causality
Interdependence techniques
e.g. factor analysis and confirmatory factor analysis) and advanced scale design
Advanced regression techniques, regularization and networks
Research dissemination
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Indicative Reading List
Books:
- American Psychological Association: 2018, Publication Manual of the American Psychological Association, 7,
- Thulin, M.: 2021, Modern Statistics with R.,
- Rajiv S. Jhangiani: 2019, Research Methods in Psychology,
- Garrett Grolemund, Hadley Wickham: 2017, R for Data Science,
- Russell A. Poldrack: 2018, Statistical Thinking for the 21st century,
- Hector, A.: 2021, The New Statistics with R: An Introduction for Biologists, 2,
- Andy Field,Jeremy Miles,Zoë Field: 2012, Discovering Statistics Using R,
- Cozby,Scott B: 2018, Methods in Behavioral Research, 13,
- Cohen, B.H: 2013, Explaining psychological statistics, 4,
- Barbara G. Tabachnick,Linda S. Fidell,Jodie B. Ullman: 2019, Using Multivariate Statistics,
Articles:
None |
Other Resources
None |
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