PSYCHOL 6501OL - Research Methods, Design and Analysis
Online - Online Teaching 1 - 2022
General Course Information
Course Code PSYCHOL 6501OL Course Research Methods, Design and Analysis Coordinating Unit Psychology Term Online Teaching 1 Level Postgraduate Coursework Location/s Online Units 3 Contact 1 to 2 hour online tutorial Available for Study Abroad and Exchange N Restrictions Available to Graduate Diploma in Psychology (OL) students only Course Description How do we make well-founded discoveries about the mind and behaviour? This course will uncover key techniques and tools used to do research in psychology. Students will develop the skills needed both to critically evaluate and to conduct research into why people think and act the way they do.
Course Coordinator: Nylanda MaEmail: firstname.lastname@example.org
The full timetable of all activities for this course can be accessed from Course Planner.Full details of each week's activities can be found in MyUni.
Course Learning OutcomesOn successful completion of this course students will be able to:
1. Apply key principles of research design and methodology in psychology.
2. Synthesise quantitative evidence to address psychological research questions and hypotheses.
3. Explain the core theoretical concepts that underlie common quantitative and qualitative data-analysis techniques
in psychological research.
4. Use statistical software to explore and analyse basic types of quantitative data.
5. Explain basic methods of conducting qualitative research in psychology.
6. Communicate research findings in a style that is suitable for technical reports
University Graduate Attributes
University Graduate Attribute Course Learning Outcome(s)
Attribute 1: Deep discipline knowledge and intellectual breadth
Graduates have comprehensive knowledge and understanding of their subject area, the ability to engage with different traditions of thought, and the ability to apply their knowledge in practice including in multi-disciplinary or multi-professional contexts.
Attribute 2: Creative and critical thinking, and problem solving
Graduates are effective problems-solvers, able to apply critical, creative and evidence-based thinking to conceive innovative responses to future challenges.
Attribute 3: Teamwork and communication skills
Graduates convey ideas and information effectively to a range of audiences for a variety of purposes and contribute in a positive and collaborative manner to achieving common goals.
Attribute 4: Professionalism and leadership readiness
Graduates engage in professional behaviour and have the potential to be entrepreneurial and take leadership roles in their chosen occupations or careers and communities.
Attribute 5: Intercultural and ethical competency
Graduates are responsible and effective global citizens whose personal values and practices are consistent with their roles as responsible members of society.
Attribute 6: Australian Aboriginal and Torres Strait Islander cultural competency
Graduates have an understanding of, and respect for, Australian Aboriginal and Torres Strait Islander values, culture and knowledge.
Attribute 7: Digital capabilities
Graduates are well prepared for living, learning and working in a digital society.
Attribute 8: Self-awareness and emotional intelligence
Graduates are self-aware and reflective; they are flexible and resilient and have the capacity to accept and give constructive feedback; they act with integrity and take responsibility for their actions.
Required ResourcesThis is a fully online offering. Students will require access to the internet to access course content and to engage in online tutorials. Students will need to install a free, open-source, cross-platform package for statistical analysis (JASP) on their computer (https://jasp-stats.org/). Installing the latest version is recommended where possible, but the earliest version suitable to complete the course is JASP version 0.14.1. Required readings will be available through MyUni.
Recommended ResourcesNavarro,D.J., Foxcroft, D.R & Faulkenberry.T.J Learning Statistics with JASP: A Tutorial for Psychology Students and Other Beginners. https://tomfaulkenberry.github.io/JASPbook/index.html
Online LearningThis is a fully online offering. Myuni will be used for all course materials, communication, links to curated resources, online tutorial support and assignments including submissions, feedback and grades.
Learning & Teaching Activities
Learning & Teaching ModesEngagement with course content is facilitated by online lectures, interactive online activities, curated readings and resources, and self directed study supported by weekly online tutorial sessions. There are 6 Weekly Modules with learning scaffolded across the modules to ensure that students develop deep discipline knowledge in research methods as well as the academic literacy and numeracy skills that are prerequisites for the 8 advanced level courses in the Graduate Diploma in Psychology.
WorkloadThis course is a 6-week intensive, accelerated learning offering. Students should expect to spend around 24-25 hours per week engaging with the online content, in private study, attending online tutorials and completing the assignments for this course.
Hours per Week:
1.5 Hours - Tutorial
1 Hour - Tutorial Preparation
9 Hours - Assessment related tasks
10 Hours - Engaging with online content including video presentations, podcasts, directed research activities, discussions, interactive tasks
3 Hours - Readings
Learning Activities SummaryThe modules covered in this 6-week accelerated course are:
1. Quantitative research design and methods
- Why are quantitative research methods important?
- Operationalisation and measurement
- Reliability and validity
- Research designs
- Introduction to JASP
- Measures of central tendency and variability
- Histograms and boxplots
- Scatterplots and correlation
- Probability and statistics
- Samples and populations
- Estimation and confidence intervals
- Null hypothesis significance testing
- Choosing the right statistical test
- Standard scores and the one-sample t-test
- Independent samples t-test
- Paired samples t-test
- Checking t-test assumptions
- Decision tree of tests
- Independent one-way ANOVA
- Multiple comparisons and post-hoc tests
- Assumptions of one-way ANOVA
- Repeated measures one-way ANOVA
- Quantitative versus qualitative research
- Beginning your qualitative analysis: coding
- Introduction to qualitative analysis: thematic analysis and content analysis
Specific Course RequirementsNil
- Assessment must encourage and reinforce learning.
- Assessment must enable robust and fair judgements about student performance.
- Assessment must maintain academic standards.
Assessment Task Task Type Due Weighting Learning Outcome Weekly Quizzes Formative and Summative Sun Weeks 1, 2, 4 & 5 7.5% each, total 30% 1,2,3,4,5,6 Assessment 2: Problem set 1 Summative Sun Week 3 30% 1,2,4,6 Assessment 3: Problem set 2 Summative Sun Week 6 40% 3,4,5,6
Assessment Related RequirementsSubmission via Turnitin. All assignments are due by 11:59pm on the Sunday at the end of the week in which they are due. A penalty of 5% per day applies for late submissions.
Extensions are granted on medical, compassionate or other special circumstances recognised under the University’s Modified Arrangements for Coursework Assessment Policy. The completed extension application form and any documentation (such as a medical or counsellor's certification) should be emailed to the course coordinator and submitted before the due date. The course coordinator will consider the request in the light of the case made and University deadlines, and may grant an extension of up to three days.
Assessment DetailAssessment 1: 4 X Weekly MCQ (7.5% each - total 30%)
15 questions for each weekly assessment task plus non-graded formative MCQs to check understanding of content each week. Weekly completion of the summative MCQs is required.
Assessment 2: Problem Set 1 - research design and descriptive statistics (30%)
Assessment 2 consists of part A (Research Proposal) and part B (Cognitive Function Data Analysis). The Problem Set consists of a set of short-answer questions that direct you to design an experiment, then generate and interpret descriptive statistics, plots, and correlations for a dataset that will be provided to you. You will use JASP to do the analysis. Due end of week 3
Assessment 3: Problem Set 2 – inferential statistics and qualitative data analysis (40%)
Assessment 3 consists of part A (Misinformation Data Analysis), part B (Therapies Data Analysis), and part C (Qualitative Analysis).This Problem Set consists of a set of short-answer questions that direct you to generate, interpret and report t-tests, ANOVAs and confidence intervals for a dataset that will be provided. You will use JASP to do the analysis. Part C of the assessment requires you to conduct and report a qualitative analysis (750 words +/- 10%) from text extracts that will be made available to you. Due end of week 6.
SubmissionFully online course with e-submission and marking
Grades for your performance in this course will be awarded in accordance with the following scheme:
M10 (Coursework Mark Scheme) Grade Mark Description FNS Fail No Submission F 1-49 Fail P 50-64 Pass C 65-74 Credit D 75-84 Distinction HD 85-100 High Distinction CN Continuing NFE No Formal Examination RP Result Pending
Further details of the grades/results can be obtained from Examinations.
Final results for this course will be made available through Access Adelaide.
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