Introduction to Psychological Design and Statistics
Your upfront cost: $0
- 26 Jul 2021
This research-intensive university in north-western Sydney offers a range of undergraduate and postgraduate degrees. With over 30,000 current students, Macquarie has a strong reputation for welcoming international students and embracing flexible and convenient study options, including its partnership with Open Universities Australia.
QS RANKING 2021
Times Higher Education Ranking 2021
On successful completion of this unit, you will be able to
- Describe common research designs in psychological science and draw appropriate conclusions consistent with the research design.
- Describe statistical techniques in psychological science, including both signicance testing and effect sizes, and apply these tests appropriately to research designs.
- Conduct statistical tests appropriately, including using statistical software, and draw appropriate conclusions.
- Summarise data, both numerically and graphically, including using statistical software.
- Critically evaluate research, research designs, and statistical testing in psychological science.
- Effectively communicate research findings, both formally and informally.
- A week-by-week guide to the topics you will explore in this subject will be provided in your study materials.
NCCW (2020 and onwards) PSYU1104, PSYX1104 and PSYU1105 and PSYX1105. Students should not complete STAX1103 if they have completed both PSYX1104 AND PSYX1105.
No special requirements
Please note: This subject has reached capacity for Session 1 - it is still available for Session 2.
This unit provides students with an introduction to research design and statistical analysis. In this unit, students will learn about common research methods used in psychology and related disciplines, critically analyse these methods, and be able to conduct their own analyses. Both experimental and non-experimental research methods are covered, as well as a variety of statistical tests, including t-tests, correlation, and chi square analyses.
Students will learn data management techniques and appropriate methods to summarise data, including both numeric and graphical summaries. Students will also gain hands-on experience using the statistical software Stata.
- Research report 1 (15%)
- Online quizzes (20%)
- Research report 2 (25%)
- Final examination (40%)
Current study term: 25 Jul 21 to 05 Nov 21
Check the learning management system (LMS) of your university for textbook details.