In this subject, students will learn about research methods and data analysis techniques commonly associated with non-experimental research and quasi-experimental 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.

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[Anti-requisite] PY3081 AND PY3082 Offerings: All

[Pre-requisite] (PY1101 OR PY1102) AND PY2103 AND PY2107

[Pre-requisite] (PY1101 OR PY1102) AND PY2103 AND PY2107 Offerings: All

To undertake this subject, students must have successfully completed 12 credit points (four subjects) of level 1 and 2 study at tertiary level

To undertake this subject, students must have successfully completed 12 credit points (four subjects) of level 1 and 2 study at tertiary level Offerings: All

PY3101 - Conducting and Interpreting Non-Experimental Studies in Psychology

Conducting and Interpreting Non-Experimental Studies in Psychology

Describe, compare, and contrast data analysis techniques commonly associated with non-experimental research, and correctly report the findings from analyses involving these techniques

Design and execute non-experimental research

Describe, compare, and contrast the core research methods commonly associated with non-experimental research