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Curricular information is subject to change
On completion of this module, students should be able to:
1. describe, use and critically evaluate a range of approaches for collecting and analysing quantitative data;
2. demonstrate a thorough understanding of the issues involved in designing survey questionnaires and developing scales;
3. use SPSS to conduct statistical analyses and interpret results;
4. understand and apply the principles of univariate, bivariate and multivariate statistics for the purposes of quantitative analysis of data;
5. demonstrate a familiarity with advanced statistical techniques such as multiple linear and logistic regression, and mediation and moderation analysis;
6. show an awareness of the issues involved in conducting mixed-methods research in educational settings.
| Student Effort Type | Hours |
|---|---|
| Specified Learning Activities | 60 |
| Autonomous Student Learning | 135 |
| Lectures | 45 |
| Seminar (or Webinar) | 3 |
| Total | 243 |
Not applicable to this module.
| Description | Timing | Component Scale | % of Final Grade | ||
|---|---|---|---|---|---|
| Assignment: Conduct and report on a multivariate analysis using either the module teaching dataset or another dataset of your choice | Coursework (End of Trimester) | n/a | Graded | No | 50 |
| Portfolio: Participation in class activities through discussion board posts | Throughout the Trimester | n/a | Graded | No | 50 |
| Remediation Type | Remediation Timing |
|---|---|
| In-Module Resit | Prior to relevant Programme Exam Board |
• Feedback individually to students, post-assessment
Feedback on the assignment is provided at the end of the module. Feedback on set tasks is provided on an ongoing basis via discussion board
| Name | Role |
|---|---|
| Ms Aisling Davies | Lecturer / Co-Lecturer |