PY3101 - Psychological Research Methods and Interpretation

In this subject, students will learn about research methods and data analysis techniques commonly associated with nonexperimental research and quasiexperimental research. The research methods covered will include survey research, observational research, and single-case research. Students will learn about the strengths and weaknesses of the different research methods and the steps that can be taken to assess the reliability and validity of research utilising them. The data analysis techniques covered will include multiple linear regression, logistic regression, and factor analysis. Students will be given a conceptual overview of the data analysis techniques, be taught how to interpret statistical output associated with them and learn how to report the findings from analyses involving them.

Learning Outcomes

• describe, compare, and contrast the core research methods commonly associated with nonexperimental research;
• describe, compare, and contrast data analysis techniques commonly associated with nonexperimental research, including multiple regression, logistic regression and factor analysis, and correctly report the findings from analyses involving these techniques;
• design and execute a piece of nonexperimental research;
• create a coherent research proposal to answer a research question of their own choosing.

Subject Assessment

• Written > Examination (centrally administered) - (40%) - Individual
• Written > Proposal - (40%) - Individual
• Written > Research report - (20%) - Group.

Special Assessment Requirements

Passing requirements: complete and submit all assessment items; achieve a cumulative score of at least 50% after the application of any penalties such as late penalties.

Note: Minor variations might occur due to the continuous Subject quality improvement process, and in case of minor variation(s) in assessment details, the Subject Outline represents the latest official information.