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HPS911 - Advanced Research Methods

Year:

2024 unit information

Enrolment modes:Trimester 1: Online
Trimester 2: Online
Credit point(s):1
EFTSL value:0.125
Unit Chair:Trimester 1: Hua Yong
Trimester 2: Hua Yong
Prerequisite:

Nil

Corequisite:Nil
Incompatible with:

HPS907 and HPS707

Typical study commitment:

Students will on average spend 150 hours over the teaching period undertaking the teaching, learning and assessment activities for this unit.

This will include educator guided online learning activities within the unit site.

Educator-facilitated (scheduled) learning activities - online unit enrolment:

1 x 1 hour online lecture per week

Note:

Students should consult with their PhD supervisors with regard to selection of elective topics

Content

This unit will focus on a variety of methodological approaches to research based upon the scientist-practitioner model of evidence-based practice. The course will provide an overview of data management, basic Structural Equation Modeling, and basic qualitative analysis. Students are expected to be familiar with univariate statistical techniques prior to commencing the course, and have some familiarity with multivariate techniques. Students will be required to screen, clean, and prepare data for analysis and to undertake preliminary univariate and multivariate screening assessment.

ULO These are the Learning Outcomes (ULO) for this unit. At the completion of this unit, successful students can: Deakin Graduate Learning Outcomes

ULO1

Demonstrate an understanding of the importance of replicability, reproducibility, and transparency in research methods and analytic techniques. Demonstrate an understanding of the importance of reliability and validity in research instruments.

GLO1: Discipline-specific knowledge and capabilities
GLO4: Critical thinking
GLO6: Self-management

ULO2

Apply quantitative and qualitative data analysis techniques, using statistical software programs where possible, to evaluate research questions in psychology.

GLO1: Discipline-specific knowledge and capabilities
GLO3: Digital literacy
GLO4: Critical thinking
GLO5: Problem solving
GLO6: Self-management

ULO3

Interpret findings from published papers and output from analyses using statistical software programs.

GLO1: Discipline-specific knowledge and capabilities
GLO3: Digital literacy
GLO4: Critical thinking
GLO6: Self-management

ULO4

Evaluate the appropriateness of analytic methods and models depending on the data being analysed and the research question being asked.

GLO1: Discipline-specific knowledge and capabilities
GLO4: Critical thinking
GLO6: Self-management

ULO5

Transfer skills and knowledge from the analytic techniques studied to understand techniques not specifically taught.

GLO1: Discipline-specific knowledge and capabilities
GLO4: Critical thinking
GLO5: Problem solving
GLO6: Self-management

Assessment

Trimester 1:
Assessment description Student output Grading and weighting
(% total mark for unit)
Indicative due week
Assessment 1:
Part A: Written assignment
Part B: Statistical analysis and written assignment

Part A: 500 words

Part B: 1500 words

Part A: 10%

Part B: 50%
Ungraded pass/fail 60%
  • Week 4 - Part A
  • Week 7 - Part B
Assessment 2: End-of-Unit Assessment 2 hours Ungraded pass/fail
40%
  • End-of-unit assessment period

The assessment due weeks provided may change. The Unit Chair will clarify the exact assessment requirements, including the due date, at the start of the teaching period.

Hurdle requirement

Students must pass all assessments to pass the unit.

Learning Resource

There is no prescribed text. Unit materials are provided via the unit site. This includes unit topic readings and references to further information.

Unit Fee Information

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