We've released the new Subject Search, designed to be simpler and faster than the application below.
PY2103 - Introduction to Research Methods and Data Analysis
Credit points: |
3 |
Year: |
2023 |
Student Contribution Band: |
Band
4 |
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
- Written > Examination (centrally administered) - (30%) - Individual
- Written > Test/Quiz 1 - (30%) - Individual
- Written > Research report - (40%) - Individual.
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
|
Prerequisites: |
PY1101 OR PY1102 |
Inadmissible Subject Combinations:
|
SS2011 SS2022 |
Availabilities
|
JCU Singapore,
Study Period 51,
Internal
|
Census Date 06-Apr-2023 |
Coordinator: |
Dr Amanda Krause |
Lecturer:
|
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
- 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
|
|
|
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 |
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 specialised - 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.