PSY4051 - Research design and analysis - 2018

6 points, SCA Band 1, 0.125 EFTSL

Postgraduate - Unit

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.


Medicine, Nursing and Health Sciences

Organisational Unit

School of Psychological Sciences

Chief examiner(s)

Miss Leah Braganza


Ms Eloise Perini

Unit guides


Monash Online

  • Teaching Period 1 2018 (Online)
  • Teaching Period 3 2018 (Online)
  • Teaching Period 5 2018 (Online)


PSY4111, PSY4122.


Must be enrolled in either of the GDP course codes (M5013 or 4525).


This unit expands upon topics in research design and analysis initially presented in the foundational psychology units. Students will further develop their understanding of the research process and some of the most commonly used methods of statistical analysis using the Statistical Package for the Social Sciences (SPSS) software package. Specific topics covered include: parametric and nonparametric procedures to compare two or more independent or matched samples; correlation and linear regression; planned and post hoc comparison techniques; power and sample size considerations; interpretation of output; experimental, quasi-experimental, and correlational research strategies; between- and within-subjects designs; and ethics. There is a strong practical component to the unit, including authentic assessments and regular hands-on tutorial experiences, designed to advance your competency in applying a range of common research techniques and analyses.


Upon successful completion of this unit, students should be able to:

  1. Critically review methodological, ethical and statistical issues associated with designing and evaluating empirical research within the discipline of psychology.
  2. Communicate scientific ideas, procedures, results, and conclusions using appropriate language, formats, and digital technology.
  3. Analyse single-factor quantitative data by selecting the appropriate statistical test, evaluating its assumptions, and interpreting test results within the applicable boundaries.
  4. Apply IT skills to enter, organise, and analyse data (e.g., using statistical software, such as SPSS).
  5. Formulate research questions and apply problem-solving skills to develop a plan for systematically addressing these questions through empirical research.


  • 3 x Journal entry tasks (30%)
  • Applied research design task (35%)
  • 6 x Secure online quizzes (35%)

Workload requirements

Students should expect to spend a minimum of 20 hours per week on this unit to achieve the learning outcomes.

This time will cover:

  1. video lecture materials;
  2. synchronous & asynchronous discussion;
  3. synchronous web-based 'class-time' for skills-based activities;
  4. weekly readings;
  5. weekly skills-based assessment tasks; and
  6. content-based assessment, including revision and formative assessment.

See also Unit timetable information

This unit applies to the following area(s) of study