JCU Logo

James Cook University Subject Handbook - 2023

For subject information from 2025 and onwards, please visit the new JCU Course and Subject Handbook website.

PY2103 - Introduction to Research Methods and Data Analysis

Credit points:03
Year:2023
Student Contribution Band:Band 4
Prerequisites:PY1101 OR PY1102
Administered by:College of Healthcare Sciences

Subject Description

    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

  • Written > Examination (centrally administered) - (30%) - Individual
  • Written > Test/Quiz 1 - (30%) - Individual
  • Written > Research report - (40%) - Individual

Note that 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.

Special Assessment Requirements

Passing requirements: complete and submit at least 80% 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 study at tertiary level

Inadmissible Subject Combinations:  SS2011 SS2022

Availabilities

JCU Singapore, Study Period 51, Internal

Census date:Thursday, 06 Apr 2023
Study Period Dates:Monday, 13 Mar 2023 to Friday, 16 Jun 2023
Coordinator(s):
DR Amanda Krause
Lecturer(s):
DR Lidia Suarez
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
Restrictions:An enrolment quota applies.

JCU Singapore, Study Period 52, Internal

Census date:Thursday, 03 Aug 2023
Study Period Dates:Monday, 10 Jul 2023 to Friday, 13 Oct 2023
Coordinator(s):
DR Amanda Krause
Lecturer(s):
DR Yang Shanshan
DR Siti Syuhada Faizal
MS Lynn Tan
DR Amanda Krause
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

JCU Singapore, Study Period 53, Internal

Census date:Thursday, 30 Nov 2023
Study Period Dates:Monday, 06 Nov 2023 to Saturday, 27 Jan 2024
Coordinator(s):
DR Amanda Krause
Lecturer(s):
DR Siti Syuhada Faizal
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

Townsville Bebegu Yumba, Study Period 1, Internal

Census date:Thursday, 23 Mar 2023
Study Period Dates:Monday, 20 Feb 2023 to Friday, 16 Jun 2023
Coordinator(s):
DR Amanda Krause
Lecturer(s):
DR Amanda Krause
DR Lidia Suarez
Workload expectations:The student workload for this 3 credit point subject is approximately 130 hours.
  • 26 Hours - Lectures
  • 24 Hours - Specialised - Tutorials