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Curricular information is subject to change
On completion of this module students should be able to:
1. Conduct and critically evaluate an example of qualitative data analysis.
2. Demonstrate an understanding of and carry out a priori power analysis.
3. Demonstrate an understanding of complex designs, including the implications of an interaction effect and the type of interaction.
4. Conduct various complex analyses with more than one variable including ANCOVA, two-way ANOVA and tests of simple main effects.
5. Demonstrate an understanding of and carry out linear regression analysis.
Student Effort Type | Hours |
---|---|
Lectures | 20 |
Tutorial | 3 |
Seminar (or Webinar) | 4 |
Specified Learning Activities | 20 |
Autonomous Student Learning | 78 |
Total | 125 |
PSY20160 Research Methods & Statistics II
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Not yet recorded. |
Resit In | Terminal Exam |
---|---|
Spring | Yes - 2 Hour |
• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
• Peer review activities
• Self-assessment activities
Individual feedback on mid-semester assignment is provided online. Solutions and feedback are provided in class on participation activities. These allow for self/peer assessment. All learning from participation activities is applied in the end-of-semester exam.
Name | Role |
---|---|
Dr Brendan Rooney | Lecturer / Co-Lecturer |