PSYCHOL 3020 - Doing Research in Psychology: Advanced
North Terrace Campus - Semester 2 - 2019
General Course Information
Course Code PSYCHOL 3020 Course Doing Research in Psychology: Advanced Coordinating Unit Psychology Term Semester 2 Level Undergraduate Location/s North Terrace Campus Units 3 Contact Up to 3 hours per week Available for Study Abroad and Exchange Y Prerequisites PSYCHOL 2004 and at least 3 more units of Level II Psychology Courses Course Description Every day we make decisions that guide our behaviour by relying on our tacit knowledge about the world. We form impressions and make predictions based on personal experience. But our cognitive architecture leaves us ill-equipped to deal with random and unusual events, and the probabilistic inferences we make about the world with imperfect data are often wrong. With mass media and vast datasets now at our fingertips online, sound scientific and statistical thinking has never been more important for evaluating claims made with data. The goal of this capstone course is to challenge you to think critically about research methods in psychology, bringing together and extending what you've learned about research design and statistics. We will apply scientific and statistical concepts like regression to the mean, the law of large and small numbers, correlation, causation, replication, generality, fidelity, and control, to a variety of real-world questions. We will discuss classic and contemporary meta-science problems, open science practices, and how the credibility revolution is changing the way we do and evaluate research in psychology. You will put all of this into practice by critically evaluating popular psychological claims, presenting your principled arguments to your peers, and critically reflecting on thorny methodological problems. The emphasis in this course is on when and why particular methods and statistical tools might be applied, and how to formulate a principled argument for what they can (and can't) tell us.
Course Coordinator: Dr Rachel SearstonSchool of Psychology Office: Ph= +61 8313 5693; Email - firstname.lastname@example.org
The full timetable of all activities for this course can be accessed from Course Planner.
Course Learning OutcomesAt the successful completion of this course students will be able to:
1. Evaluate critically the importance of scientific and statistical reasoning in psychology
2. Apply methodological and statistical principles to assess the credibility of various claims about human psychology
3. Formulate principled arguments for using various methods and statistics in psychological research
4. Understand and apply the methodological and statistical concepts to various real-world problems
5. Evaluate critically the ethical issues that may impact on decision-making in psychological research
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 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
1,3,5 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 Career and leadership readiness
- technology savvy
- professional and, where relevant, fully accredited
- forward thinking and well informed
- tested and validated by work based experiences
1,2,4,5 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
Required ResourcesAbelson, R. P. (1995). Statistics as Principled Argument. First Edition. Taylor & Francis Group [Available online via the University Library]
Recommended ResourcesResources for Learning R
Grolemund, G., & Wickham, H. (2017). R for Data Science.
Navarro, D. (2018). Learning statistics with R: A tutorial for psychology students and other beginners.
Navarro, D. (2018). R for Psychological Science.
Crump, M. J. C. (2018). Programming for Psychologists: Data Creation and Analysis.
Phillips, N. D. (2018). YaRrr! The Pirate’s Guide to R.
Online LearningVideo Lectures and Online Worksheets will be made available on MyUni: https://myuni.adelaide.edu.au/
MyUni may also be used for one or more of the following:
• Communication with students via Announcements and Discussion Board
• Submission of assessment
• Access to lecture recordings
• Access to worksheet materials
• Access to assigned and additional readings
• Access to self-directed learning activities
• Access to assessment preparation materials
Learning & Teaching Activities
Learning & Teaching ModesThis course consists of weekly online lectures and face-to-face class activities, two tutorials/SGDEs, and four online worksheets with accompanying drop-in sessions.
The information below is provided as a guide to assist students in engaging appropriately with the course requirements.Videos: 1 hour/week = 12 hours
Classes: 1 hour/week = 12 hours
Readings: 2 hours/week = 24 hours
Drop-In Sessions: 4×1 hour = 4 hours
Tutorials: 2×1 hour = 2 hours
Practical Assignment: 48 hours
Written Assignment: 48 hours
Self-Directed Study:6 hours
Learning Activities Summary
Week Topic Week 1 Course Introduction Week 2 Making Claims with Data Week 3 Evaluating Claims: Detecting Chance Week 4 Evaluating Claims: Measures of Magnitude Week 5 Evaluating Claims: Reproducibility and Transparency Week 6 Evaluating Claims: Data Analytic Workflows Week 7 Evaluating Claims: Articulation of Results Week 8 Evaluating Claims: Generality and Interestingness Week 9 Evaluating Claims: Credibility of Argument Week 10 Evaluating Claims: Qualitative Methods I Week 11 Evaluating Caims: Qualitative Methods II Week 12 Course Summary
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 Task Assessment Type Weighting Learning outcome(s) being addressed Online Quizzes Formative and Summative 50% 1-5 Research Project Part I Summative 20% 1-5 Research Project Part II Summative 30% 1-5
No information currently available.
SubmissionPlease refer to the General Handbook for Undergraduate Psychology students for details on submission process/requirements, penalties for late submission, the process of applying for extensions, and the staff “turn-around” timeline on assessments and the provision of feedback and policy relating to re-submission/redemptive work.
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 Access Adelaide.
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