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PY3101 - Psychological Research Methods and Interpretation

Credit points: 3
Year: 2023
Student Contribution Band: Band 4
Administered by: College of Healthcare Sciences

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.

Subject Assessment

  • Written > Examination (centrally administered) - (40%) - Individual
  • Written > Examination - In class - (30%) - Individual
  • Written > Research report - (30%) - 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.

Assumed
Knowledge:
To undertake this subject, students must have successfully completed 12 credit points (four subjects) of level 1 and 2 study at tertiary level
Prerequisites: (PY1101 OR PY1102) AND PY2103 AND PY2107
Inadmissible
Subject
Combinations:
PY3081 AND PY3082

Availabilities

JCU Singapore, Study Period 51, Internal
Census Date 06-Apr-2023
Coord/Lect: Dr Kaiqin Chan.
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 10 hours lectures
  • 24 hours tutorials
  • 16 hours online activity
  • assessment and self-directed study
Restrictions: An enrolment quota applies to this offering.

JCU Singapore, Study Period 52, Internal
Census Date 03-Aug-2023
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 10 hours lectures
  • 24 hours tutorials
  • 16 hours online activity
  • assessment and self-directed study
Restrictions: An enrolment quota applies to this offering.

JCU Singapore, Study Period 53, Internal
Census Date 30-Nov-2023
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 10 hours lectures
  • 24 hours tutorials
  • 16 hours online activity
  • assessment and self-directed study

Townsville, Study Period 1, Internal
Census Date 23-Mar-2023
Coord/Lect: Dr Clint Knight.
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 26 hours lectures
  • 24 hours specialised - Workshops
  • assessment and self-directed study

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.