Introduction to Research Methods

PSY10005 12.5 Credit Points Hawthorn, Online Available to incoming Study Abroad and Exchange students

Duration

  • One Semester or equivalent

Contact hours

  • 36 hours + Blended

On-campus unit delivery combines face-to-face and digital learning. For Online unit delivery, learning is conducted exclusively online.

2023 teaching periods

Hawthorn

Higher Ed. Semester 2

Dates:
31 Jul 23 - 29 Oct 23

Results:
5 Dec 23

Last self enrolment:
13 Aug 23

Census:
31 Aug 23

Last withdraw without fail:
15 Sep 23
More teaching periods
Swinburne Online

Teaching Period 2		 Swinburne Online

Teaching Period 3

Dates:
10 Jul 23 - 8 Oct 23

Results:
31 Oct 23

Last self enrolment:
23 Jul 23

Census:
4 Aug 23

Last withdraw without fail:
25 Aug 23

Dates:
6 Nov 23 - 11 Feb 24

Results:
5 Mar 24

Last self enrolment:
19 Nov 23

Census:
1 Dec 23

Last withdraw without fail:
29 Dec 23

Aims and objectives

This unit provides students with an understanding of different research designs and research methods for psychology and health sciences. Students will gain familiarity with the scientific method, ethical issues in research, measurement, experimental research, survey research, qualitative research and mixed methods research. Students will be given the opportunity to develop professionally relevant knowledge in the selection and evaluation of research designs and methods and how to collect data that will address specific research questions.
 
Unit Learning Outcomes (ULO)
 
On successful completion of this unit students will be able to:
 
1. Define the scientific method and scientific thinking principles
2. Apply knowledge of ethical issues in research
3. Describe the main concepts of measurement and various sampling methods
4. Explain the general concept of an experiment and a quasi-experiment and outline uses of these designs in research
5. Contrast a range of research designs and methods and be able to identify the strengths and weaknesses of each method
6. Select appropriate research designs and research methods to address hypothetical and real world problems