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This course is an introduction to the theory and application of research design and statistics in psychology. For psychological science, understanding good research design and how to interpret statistical results are key for making rational decisions on the basis of research and data. The course will emphasise the concepts of valid and reliable research, research ethics, and the interpretation of statistical results using real-life examples from the psychological literature. An important theme is that anyone can learn statistics - no math beyond basic algebra is required and you are not required to hand-calculate the statistical outputs. Instead, the focus of the statistical content of the course will be on interpreting outputs from software such as MS Excel and jamovi. This course is a prerequisite to advancing in psychology beyond PSYC 200-level.
PSYC206 is an introduction to the theory and practice of statistics and research methods in psychology. For psychological science, statistics is a framework for making rational decisions on the basis of data. The course will emphasise the concepts and logic underlying statistics and research design, and provide worked-through examples that illustrate those concepts. An important theme is that anyone can learn statistics - no math beyond basic algebra is required! The focus in this course will be on interpreting statistical output rather than calculating statistics by hand. This is also the prerequisite course for advancing in psychology beyond the 200-level.
On successfully passing this course, students should be able to:1. Discuss the importance of statistics in knowledge acquisition and understanding. 2. Identify key types and applications of different research designs for the social sciences, encompassing both qualitative and quantitative methodologies. 3. Discuss the varied perspectives and key decision-points that underlie robust research designs, including co-design with iwi and hapū. 4. Explain the importance of professional standards for research integrity in Aotearoa New Zealand, including ethical treatment of participants, consideration of Mātauranga Māori in research, honest scholarship, and transparent communications. 5. Describe the logic of null hypothesis significance testing and statistical power. 6. Conduct and interpret basic statistical analyses, including descriptive statistics and introductory-level inferential statistics (including Z scores, correlations, bivariate and multiple regression, t-tests, and one-way ANOVA). 7. Clearly and accurately report the results of statistical analyses, adhering to APA standards. 8. Use knowledge of statistics and research design to confidently engage with scientific literature, and to independently acquire or maintain research or statistics-related skills
At least 15 points in 100-level Psychology and at least 45 points overall
Students must attend one activity from each section.
Burton, L. J., Goodwin, C. J., Goodwin, K., Jose, P., Reece, J., Gullifer, J., Lambros, A., Mussa, M., & Lamony-Mills, A;
Psychology Research Methods
Navarro DJ and Foxcroft DR;
learning statistics with jamovi: a tutorial for psychology students and other beginners
2019 (Open source textbook available from: https://www.learnstatswithjamovi.com).
Aron, A., Aron, E. N., & Coups, E. J;
Statistics for psychology
Boston, MA: Pearson Education, 2013.
Domestic fee $892.00
International fee $4,563.00
* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.
For further information see
School of Psychology, Speech and Hearing on the
departments and faculties