PSY3062 · Research methods in psychology

Overview

In this unit, you will continue your training in research via three components. First, research design and analysis topics presented in first and second year will be explored at a more advanced theoretical level. The major focus of this component will be analysis of variance and multiple regression. Second, you will develop experience performing statistical analyses using a statistical software package. Finally, you will continue your training in research design and analysis by undertaking an independent research project

Areas of study: Psychology Psychological science

Offerings

Assessment

The Handbook lists an examination for this unit.

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

The Handbook lists no prerequisite, corequisite or prohibition for this unit.

Learning outcomes

1. Explain the theory underlying linear regression (including special case of analysis of variance), multiple predictors, and moderation and model comparison
2. Practically implement appropriate analysis plans using these models in software
3. Apply knowledge of the research process from: a) Organizing an argument based on background literature, b) formulating and justifying a research question and testable hypotheses, c) Performing appropriate analyses using statistical software, d) interpreting and discussing results from model testing
4. Prepare and communicate psychological findings by presenting a psychology research project in standard journal article format, including order of presentation, conventional methods of reporting statistics, appropriate use of tables and figures, and APA formatting
5. Make analysis and presentation choices that align with ethical practices for replication and reproducibility in psychology

Workload

2 hours of lectures per week. 2 hours of tutorials 11 times per semester. Induction tutorial: 1 hour in Week 1 of semester Preparation: Eight hours background reading/preparation for lectures, tutorials and assessment tasks per week. Attendance at tutorials is recommended in order to successfully complete in-class activities and related assessment tasks.

Student experience, not official rules. Nothing here changes what the Handbook says.