Students

PSYC8863 – Research Design and Evaluation

2021 – Session 1, Weekday attendance, North Ryde

Notice

As part of Phase 3 of our return to campus plan, most units will now run tutorials, seminars and other small group activities on campus, and most will keep an online version available to those students unable to return or those who choose to continue their studies online.

To check the availability of face-to-face and online activities for your unit, please go to timetable viewer. To check detailed information on unit assessments visit your unit's iLearn space or consult your unit convenor.

General Information

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Unit convenor and teaching staff Unit convenor and teaching staff
Mike Jones
Credit points Credit points
10
Prerequisites Prerequisites
Admission to MClinPsych or MClinNeuro or MOrgPsych
Corequisites Corequisites
Co-badged status Co-badged status
Unit description Unit description
This unit exposes students to a range of advanced quantitative statistical methods that are useful in research in psychology. The intent of the unit is to explain underlying concepts rather than teach deeper technical detail. Students completing the unit should have an appreciation of when a variety of advanced statistical methods are appropriate, be able to undertake simple analyses, understand how to interpret the results of these analyses and how to assess publications that have used these methods. Content includes a refresher on statistical study design, critical appraisal of published research, common data analysis methods and a number of methods for longitudinal and complex-sampled data, latent variable models as well as meta-analysis.

Important Academic Dates

Information about important academic dates including deadlines for withdrawing from units are available at https://students.mq.edu.au/important-dates

Learning Outcomes

On successful completion of this unit, you will be able to:

  • ULO1: Design a study and formulate appropriate hypotheses and ways of testing them.
  • ULO2: Select analytic techniques that are appropriate for the data and which allow valid tests of hypotheses, and research questions to be answered.
  • ULO3: Apply a selection of Stata commands and procedures to undertake quantitative statistical analyses.
  • ULO4: Knowledgably apply the specific analytic methods learnt in their optional modules.

Assessment Tasks

Name Weighting Hurdle Due
Topic Quizzes 20% No 5pm Friday of weeks 3-6
Practical Project 50% No 5pm Friday 14 May
Final Examination 30% No 9am Wednesday 2 June

Topic Quizzes

Assessment Type 1: Quiz/Test
Indicative Time on Task 2: 32 hours
Due: 5pm Friday of weeks 3-6
Weighting: 20%

4 Compulsory quizzes of 5 questions each delivered via iLearn. The quiz will be comprised of multiple choice, fill-in-the-blank and short answer questions. Each quiz will be available for seven days but once commenced must be completed within 3 hours.


On successful completion you will be able to:
  • Select analytic techniques that are appropriate for the data and which allow valid tests of hypotheses, and research questions to be answered.
  • Apply a selection of Stata commands and procedures to undertake quantitative statistical analyses.

Practical Project

Assessment Type 1: Quantitative analysis task
Indicative Time on Task 2: 45 hours
Due: 5pm Friday 14 May
Weighting: 50%

Each student selects an elective topic and writes a short scientific report – up to 3000 words


On successful completion you will be able to:
  • Design a study and formulate appropriate hypotheses and ways of testing them.
  • Select analytic techniques that are appropriate for the data and which allow valid tests of hypotheses, and research questions to be answered.
  • Apply a selection of Stata commands and procedures to undertake quantitative statistical analyses.
  • Knowledgably apply the specific analytic methods learnt in their optional modules.

Final Examination

Assessment Type 1: Examination
Indicative Time on Task 2: 16 hours
Due: 9am Wednesday 2 June
Weighting: 30%

Invigilated two-hour multiple choice exam of 40 questions in open book format. Thirty questions are compulsory and a further 10 are student selected.


On successful completion you will be able to:
  • Select analytic techniques that are appropriate for the data and which allow valid tests of hypotheses, and research questions to be answered.
  • Apply a selection of Stata commands and procedures to undertake quantitative statistical analyses.

1 If you need help with your assignment, please contact:

  • the academic teaching staff in your unit for guidance in understanding or completing this type of assessment
  • the Learning Skills Unit for academic skills support.

2 Indicative time-on-task is an estimate of the time required for completion of the assessment task and is subject to individual variation

Delivery and Resources

Structure of the unit

Every student will study five (5) learning modules in this unit of which four are compulsory topics and the remaining is selected by the student from three (3) available elective modules. Compulsory modules are selected on the basis of being useful topics for any quantitative research topic, while the student-selected modules allow students to somewhat tailor the unit to their individual needs.

Compulsory modules (all must be undertaken)

  1. Design and sample size determination
  2. Data manipulation and basic statistical analysis in Stata (although students may use other software if they prefer)
  3. Revision of the General Linear model using Stata
  4. Dealing with missing values in data

Student-selected modules (select one)

  1. Latent variable models
  2. Multi-level and Longitudinal models
  3. Meta-analysis

Format of the unit

The unit is largely delivered by downloadable video lectures that combine a classical lecture with demonstration of practical application using Stata and are available for download at the start of or early in semester. All compulsory topics do, however, have one-hour face-to-face tutorial sessions at which attendance is strongly recommended but not compulsory. All elective modules have an associated in-person workshop at which attendance is strongly recommended but also not compulsory. The purpose of the workshops is to provide an opportunity to address unresolved questions prior to the final exam. Important note: To achieve this it will be necessary for each student to have viewed the module video and thought about their project prior to attending the workshop.

The unit is graded using the standard categories of Fail, Pass, Credit, Distinction and High Distinction. Further details concerning the exam will be provided during the unit. The project report and take home exam will be submitted to the Grademark system that is part of iLearn. You may collaborate in preparatory work for assignments; however, the report submitted must be of your own work. If two or more students are found to have submitted material which is identical, or near to identical, they will be asked to re-submit the material from the affected section or else share the marks with the other student(s) who submitted the same material. NB: Make sure you keep a complete copy of each of your submitted works should it be needed. This unit does not publish previous end-of-semester exam papers due to the assessment format which involves multiple choice questions drawn from a bank of questions which have undergone a process of development and validation to assess a wide range of concepts in this unit. Assessment quality can only be ensured by maintaining the integrity of the question bank rather than creating entirely new questions every year. However a practice exam will be provided via iLearn near the end of semester.

Unit Schedule

Week

Week Starting

Workshop content

Assessment

1

22-February

Admin & unit overview

 

2

1-Mar

No class

 

3

8-Mar

No class

Quiz 1 due

4

15-Mar

Quiz 1 review & Elective topic workshops

Quiz 2 due

5

22-Mar

Quiz 2 review & Elective topic workshops

Quiz 3 due

6

29-Mar

Quiz 3 review

Quiz 4 due

 

5 & 12 Apr

Mid-session break

 

7

19 April

Quiz 4 review

 

8

26 April

Project advising**

 

9

3-May

No class

 

10

10-May

No class

Project report due

11

17-May

Exam preparation session

 

12

24-May

No class

 

13

31-May

Final exam (in-class)

Final exam

Policies and Procedures

Macquarie University policies and procedures are accessible from Policy Central (https://staff.mq.edu.au/work/strategy-planning-and-governance/university-policies-and-procedures/policy-central). Students should be aware of the following policies in particular with regard to Learning and Teaching:

Students seeking more policy resources can visit the Student Policy Gateway (https://students.mq.edu.au/support/study/student-policy-gateway). It is your one-stop-shop for the key policies you need to know about throughout your undergraduate student journey.

If you would like to see all the policies relevant to Learning and Teaching visit Policy Central (https://staff.mq.edu.au/work/strategy-planning-and-governance/university-policies-and-procedures/policy-central).

Student Code of Conduct

Macquarie University students have a responsibility to be familiar with the Student Code of Conduct: https://students.mq.edu.au/admin/other-resources/student-conduct

Results

Results published on platform other than eStudent, (eg. iLearn, Coursera etc.) or released directly by your Unit Convenor, are not confirmed as they are subject to final approval by the University. Once approved, final results will be sent to your student email address and will be made available in eStudent. For more information visit ask.mq.edu.au or if you are a Global MBA student contact globalmba.support@mq.edu.au

Student Support

Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/

Learning Skills

Learning Skills (mq.edu.au/learningskills) provides academic writing resources and study strategies to help you improve your marks and take control of your study.

The Library provides online and face to face support to help you find and use relevant information resources. 

Student Enquiry Service

For all student enquiries, visit Student Connect at ask.mq.edu.au

If you are a Global MBA student contact globalmba.support@mq.edu.au

Equity Support

Students with a disability are encouraged to contact the Disability Service who can provide appropriate help with any issues that arise during their studies.

IT Help

For help with University computer systems and technology, visit http://www.mq.edu.au/about_us/offices_and_units/information_technology/help/

When using the University's IT, you must adhere to the Acceptable Use of IT Resources Policy. The policy applies to all who connect to the MQ network including students.

Changes since First Published

Date Description
15/02/2021 Change to dates of elective topic workshops