HPS771 - Psychology Research Methods (Introductory)
| Year: | 2024 unit information |
|---|---|
| Enrolment modes: | Trimester 2: Burwood (Melbourne), Warrnambool, Waurn Ponds (Geelong), Online Trimester 3: Online |
| Credit point(s): | 1 |
| EFTSL value: | 0.125 |
| Cohort rule: | This unit is at a postgraduate level and students enrolled in undergraduate courses cannot undertake it. Postgraduate students not enrolled in H603 must check with their course adviser before enrolling in the unit. |
| Previously: | Research Methods in Psychology A |
| Prerequisite: | Nil |
| Corequisite: | This unit is only available to students enrolled in H603 Graduate Diploma of Psychological Science |
| Incompatible with: | HP671, HPS201 |
| Study commitment | Students will on average spend 150 hours over the teaching period undertaking the teaching, learning and assessment activities for this unit. This will include educator guided online learning activities within the unit site. |
| Scheduled learning activities - campus | 1 x 1 hour online lecture per week |
| Scheduled learning activities - online | 1 x 1 hour online lecture per week |
| Note: | Drop-in Q&A online sessions will be scheduled throughout the trimester; see the unit cloud site for more details. |
Content
This unit will introduce students to a variety of parametric univariate statistics commonly used in psychology. The focus is on both a conceptual and analytical understanding, rather than strict computational problem solving. The unit progresses from a discussion of descriptive statistics and the foundation of hypothesis testing to the introduction of specific statistical procedures such as the t-test, chi-square, Analysis of Variance, Correlation and Regression. An important focus of the unit is on understanding the logic underlying the various statistical analyses covered. The unit also emphasises links between specific statistical analyses and common study designs used in psychology. Students will be taught to analyse data primarily through definitional formulae, as well as a computer-based statistical package.
Unit Fee Information
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