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PY2103 - Introduction to Research Methods and Data Analysis

Credit points: 3
Year: 2020
Student Contribution Band: Band 1
Administered by: College of Healthcare Sciences

The purpose of this subject is to introduce students to research methods and data analysis techniques within psychology. Students will first learn about the scientific method and research approaches used by psychology researchers. They will then learn how to design research projects, focussing on how to generate research ideas, formulate testable hypotheses, develop ethical research protocols, and appropriately recruit samples of participants. Students will also learn how validity and reliability issues can harm research and the steps they can take to avoid these problems. Additionally, students will learn how to analyse research data, using basic descriptive and inferential statistics, in the statistical package SPSS. The emphasis will be on understanding statistics at a conceptual level and knowing how to apply them appropriately, rather than on their mathematical calculations. Finally, students will be shown how to present research findings appropriately.

Learning Outcomes

  • demonstrate knowledge of the scientific method and research approaches in psychology;
  • demonstrate knowledge of how to design a coherent ethical piece of research that is free of validity and reliability issues;
  • demonstrate skills in analysing research data, using basic descriptive and inferential statistics via statistics software;
  • interpret data outputs and present findings appropriate to the task and the audience.

Subject Assessment

  • Invigilated > End of semester exam - (30%)
  • Invigilated > Quizzes or tests - (30%)
  • Non-Invigilated > Assignments - (40%).
Assumed
Knowledge:
To undertake this subject, students must have successfully completed 12 credit points (four subjects) of level 1 study at tertiary level
Prerequisites: PY1101 OR PY1102
Inadmissible
Subject
Combinations:
SS2011 SS2022

Availabilities

Townsville, Internal, Study Period 1
Census Date 26-Mar-2020
Coordinator: Dr Amanda Krause
Lecturers: Dr Daniel Miller, Dr Lidia Suarez, <Person not found>, Dr Amanda Krause.
Workload expectations:

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

  • 26 hours lectures
  • 24 hours tutorials
  • assessment and self-directed study

Cairns, Internal, Study Period 1
Census Date 26-Mar-2020
Coordinator: Dr Amanda Krause
Lecturers: Dr Daniel Miller, Dr Amanda Krause.
Workload expectations:

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

  • 26 hours lectures
  • 24 hours tutorials
  • assessment and self-directed study

JCU Singapore, Internal, Study Period 52
Census Date 06-Aug-2020
Coordinator: Dr Amanda Krause
Lecturers: Dr Lidia Suarez, Dr Amanda Krause.
Workload expectations:

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

  • 26 hours lectures
  • 24 hours tutorials
  • assessment and self-directed study

JCU Singapore, Internal, Study Period 51
Census Date 09-Apr-2020
Coordinator: Dr Amanda Krause
Lecturers: Dr Lidia Suarez, Dr Amanda Krause.
Workload expectations:

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

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

JCU Singapore, Internal, Study Period 53
Census Date 03-Dec-2020
Coord/Lect: Dr Amanda Krause.
Workload expectations:

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

  • 26 hours lectures
  • 24 hours tutorials
  • 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.