PSYCHOL 6504OL - Applying Research Methods in Psychology

Online - Online Teaching 6 - 2020

How do we apply methodological and statistical concepts to real-world problems? This course builds onto the foundation provided by Research Methods, Design and Analysis, exploring research methods for quantitative and qualitative data in more depth. You will think critically about the process of conducting research, apply your knowledge of research methods to a variety of contexts, and further develop your understanding of common analyses.

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Course Details

Course Code	PSYCHOL 6504OL
Course	Applying Research Methods in Psychology
Coordinating Unit	Psychology
Term	Online Teaching 6
Level	Postgraduate Coursework
Location/s	Online
Units	3
Contact	1 to 2 hour online tutorial
Available for Study Abroad and Exchange	N
Prerequisites	PSYCHOL 6500OL and PSYCHOL 6501OL
Restrictions	Graduate Diploma in Psychology or Graduate Certificate in Psychology
Assessment	Online Assessments and Written Assignments

Course Staff

Course Coordinator: Dr Josiah Krieg

Course Timetable

The full timetable of all activities for this course can be accessed from .

Course Learning Outcomes

On successful completion of this course students will. be able to:

1.	Evaluate the purpose of research methods used in psychology and how they are applied in practice.
2.	Implement the processes required to plan and conduct psychological studies as an individual researcher.
3.	Formulate principled arguments for the use of various methods when designing quantitative and qualitative studies.
4.	Analyse quantiative data in JASP to answer psychological research questions.
5.	Apply practical methodological and statistical skills to address real-world issues
6.	Collaborate with other students to design and constructively evaluate psychological research studies

University Graduate Attributes

This course will provide students with an opportunity to develop the Graduate Attribute(s) specified below:

University Graduate Attribute	Course Learning Outcome(s)
Deep discipline knowledge informed and infused by cutting edge research, scaffolded throughout their program of studies acquired from personal interaction with research active educators, from year 1 accredited or validated against national or international standards (for relevant programs)	1,2,3,4,5,6
Critical thinking and problem solving steeped in research methods and rigor based on empirical evidence and the scientific approach to knowledge development demonstrated through appropriate and relevant assessment	1,2,3,4,5,6
Teamwork and communication skills developed from, with, and via the SGDE honed through assessment and practice throughout the program of studies encouraged and valued in all aspects of learning	3,5,6
Career and leadership readiness technology savvy professional and, where relevant, fully accredited forward thinking and well informed tested and validated by work based experiences	2,3,4,5,6
Intercultural and ethical competency adept at operating in other cultures comfortable with different nationalities and social contexts able to determine and contribute to desirable social outcomes demonstrated by study abroad or with an understanding of indigenous knowledges	2,3,4,5
Self-awareness and emotional intelligence a capacity for self-reflection and a willingness to engage in self-appraisal open to objective and constructive feedback from supervisors and peers able to negotiate difficult social situations, defuse conflict and engage positively in purposeful debate	3,6

Learning Resources

Required Resources

This is a fully online offering. Students will require acccess to the internet to access course content and to engage in online tutorials. Students will need to install two free, open-source, cross-platform packages for statistical analysis (JASP and G*Power) on their computer.

Recommended Resources

Detailed reading lists will be provided within course modules on Myuni; all readings will be accessible online.

Navarro, D.J., Foxcroft, D.R. & Falkenberry, T.J. Learning statistics with JASP: A tutorial for psychology students and other beginners.

Online Learning

This is a fully online offering. Myuni will be used for all course materials, communication, links to curated resources, online activities, online tutorial support, and assignment submission, feedback and grades
Learning & Teaching Activities

Learning & Teaching Modes

Engagement with course content is facilitated by online lectures, interactive online activities, curated readings and resources, and self directed study supported by weekly online 90 minute tutorial sessions. There are 6 Weekly Modules with learning scaffolded across the modules to ensure that students develop deep discipline knowledge as well as the academic literacy, research skills and capacity to apply and communicate their understanding as specified for an AQF8 level offering.

Workload

The information below is provided as a guide to assist students in engaging appropriately with the course requirements.

This 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 Summary

This course is presented over 6 weeks, with one module per week:

1.Considering Psychological Research
Why is Research Necessary?
The Human Side of Research
Contemporary Issues in Psychological Research

2.Qualitative Research Design and Skills
Qualitative and Mixed Methods Approaches
Preliminary Considerations in Study Design
Appraising Qualitative Research

3.Quantitative Research Design and Skills
Advanced Research Designs
Power Analysis
Control Groups and Causal Inference

4.Analysing Grouped Data
Factorial ANOVA
Chi-Squared Goodness of Fit Test
Chi-Squared Association Test

5.Regression and Applied Data Analysis
Regression Analysis
Testing Assumptions
Non-Parametric Tests and Resampling

6.The Future of Psychologiocal Science
Reconsidering Research Findings
Contemporary Research Solutions
Open Science

Specific Course Requirements

Nil

Small Group Discovery Experience

N/A

The University's policy on Assessment for Coursework Programs is based on the following four principles:

Assessment must encourage and reinforce learning.
Assessment must enable robust and fair judgements about student performance.
Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
Assessment must maintain academic standards.

Assessment Summary

Assessment Task	Task Type	Weighting (%)	Hurdle requirement	Learning Outcome
1. Critical Literature Analysis	Summative	20	No	1,2
2. Designing Research A: Qualitative research B: Quantitative research C: Peer evaluation	Summative	20 20 10	No	2,3,6 2,3,5 2,6
3. Data Analysis	Summative	30	No	2,4,5

Assessment Related Requirements

Submission 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 Detail

Assessment # 1 Critical Literature Analysis (Due end week 2, 800 words).
You will use your scientific writing skills to critically evaluate a journal article and series of associated opinion papers. More specifically, you will assess the extent to which the research methods described in the journal article take into account the best-practice recommendations made by both the proponents and critics of mandatory reproducible science practices.

Assessment #2 Designing Research (Part A (presentation) and Part B (750 words) due end week 4; Part C (500 words) due end week 6).
Part A: Qualitative research group task. You will collaborate with other students to present a group voice-over-Powerpoint presentation. In this task, you will propose a qualitative research study to answer a particular psychological question. This will include consideration of the ethical and pre-study considerations involved with your study.
Part B: Quantitative research proposal. You will propose an individual quantitative research study to answer a research question in the context of adolescent mental health.
Part C: Peer evaluation. You will provide an individual written peer assessment of the presentations from Part A. This task involves reflecting on all four other presentations and providing constructive feedback on the research designs from the four other groups.

Assessment #3: Data Analysis (Due end week 6)
You will conduct and report a series of statistical analyses to answer a range of research questions. You will also synthesise the information from these analyses to summarise and draw conclusions. Your analyses will be guided by the short-answer questions provided.

Submission

Online submission via Turnitin

Course Grading

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.

Grade Descriptors are available which provide a general guide to the standard of work that is expected at each grade level. More information at Assessment for Coursework Programs.

Final results for this course will be made available through .

Student Feedback

The University places a high priority on approaches to learning and teaching that enhance the student experience. Feedback is sought from students in a variety of ways including on-going engagement with staff, the use of online discussion boards and the use of Student Experience of Learning and Teaching (SELT) surveys as well as GOS surveys and Program reviews.

SELTs are an important source of information to inform individual teaching practice, decisions about teaching duties, and course and program curriculum design. They enable the University to assess how effectively its learning environments and teaching practices facilitate student engagement and learning outcomes. Under the current SELT Policy (http://www.adelaide.edu.au/policies/101/) course SELTs are mandated and must be conducted at the conclusion of each term/semester/trimester for every course offering. Feedback on issues raised through course SELT surveys is made available to enrolled students through various resources (e.g. MyUni). In addition aggregated course SELT data is available.
Student Support
Policies & Guidelines
This section contains links to relevant assessment-related policies and guidelines - all university policies.
Fraud Awareness

Students are reminded that in order to maintain the academic integrity of all programs and courses, the university has a zero-tolerance approach to students offering money or significant value goods or services to any staff member who is involved in their teaching or assessment. Students offering lecturers or tutors or professional staff anything more than a small token of appreciation is totally unacceptable, in any circumstances. Staff members are obliged to report all such incidents to their supervisor/manager, who will refer them for action under the university's student鈥檚 disciplinary procedures.

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Authorised by:	Deputy Vice-Chancellor and Vice-President (Academic)
Maintained by:	Course Outlines Administrator

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