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James Cook University Subject Handbook - 2024

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

PY2103 - Introduction to Scientific Approaches in Psychology

Credit points:03
Year:2024
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. Additionally, students will learn how to analyse research data, using basic descriptive and inferential statistics, using statistical software. 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

  • Explain and evaluate research approaches and design considerations for ethical psychological research
  • Analyse psychological research data, using basic descriptive and inferential statistics using statistics software
  • Interpret basic statistical outputs from psychological research and communicate data and findings appropriate to the task and the audience

Subject Assessment

  • Written > Examination (centrally administered) - (40%) - Individual
  • Written > Test/Quiz 1 - (20%) - 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, 07 Mar 2024
Study Period Dates:Thursday, 15 Feb 2024 to Friday, 26 Apr 2024
Coordinator(s):
DR Amanda Krause
Lecturer(s):
MS Hui Hui Tan
DR Siti Syuhada Faizal
Workload expectations:The student workload for this 3 credit point subject is approximately 130 hours.
  • 10 Hours - Lectures
  • 10 Hours - Online activity
  • 30 Hours - Specialised - Computer lab tutorial
Restrictions:An enrolment quota applies.

JCU Singapore, Trimester 2, Internal

Census date:Thursday, 13 Jun 2024
Study Period Dates:Monday, 20 May 2024 to Saturday, 24 Aug 2024
Coordinator(s):
DR Amanda Krause
Lecturer(s):
DR Siti Syuhada Faizal
DR Amanda Krause
Workload expectations:The student workload for this 3 credit point subject is approximately 130 hours.
  • 10 Hours - Lectures
  • 10 Hours - Online activity
  • 30 Hours - Specialised - Computer lab tutorial

JCU Singapore, Trimester 3, Internal

Census date:Thursday, 10 Oct 2024
Study Period Dates:Monday, 16 Sep 2024 to Saturday, 14 Dec 2024
Coordinator(s):
DR Patrick Lin
Lecturer(s):
DR Jose Yong
Workload expectations:The student workload for this 3 credit point subject is approximately 130 hours.
  • 10 Hours - Lectures
  • 10 Hours - Online activity
  • 30 Hours - Specialised - Computer lab tutorial

Townsville Bebegu Yumba, Trimester 1, Internal

Census date:Thursday, 22 Feb 2024
Study Period Dates:Monday, 29 Jan 2024 to Saturday, 27 Apr 2024
Coordinator(s):
DR Amanda Krause
Workload expectations:The student workload for this 3 credit point subject is approximately 130 hours.
  • 20 Hours - Lectures
  • 30 Hours - Specialised - Computer lab tutorials