PSYCHOL 2004 - Doing Research in Psychology
North Terrace Campus - Semester 1 - 2022
General Course Information
Course Code PSYCHOL 2004 Course Doing Research in Psychology Coordinating Unit Psychology Term Semester 1 Level Undergraduate Location/s North Terrace Campus Units 3 Contact Up to 4 hours per week Available for Study Abroad and Exchange Y Prerequisites (PSYCHOL 1000 and PSYCHOL 1001 and PSYCHOL 1004) or (PSYCHOL 1000 and PSYCHOL 1001 and PSYCHOL 1005) or (PSYCHOL 1100) Course Description This course will develop the skills and knowledge required to understand and carry out research in psychology and the behavioural sciences. Students will learn about quantitative, qualitative, and mixed methodologies. They will learn how to sensibly investigate and test various kinds of research questions and how to interpret the findings of research. A software package will be used to develop skills in quantitative data analysis.
Course Coordinator: Dr Mark KohlerOffice: 514 Hughes Building; Phone +61 8 8313 8215; Email email@example.com
The full timetable of all activities for this course can be accessed from Course Planner.
Course Learning Outcomes1. Understand fundamental concepts of quantitative data analysis including descriptive statistics, probability theory and hypothesis testing, and the conclusions that can be drawn when applying them to psychological research.
2. Identify the appropriate quantitative data analysis and/or qualitative approach to different kinds of basic psychological research questions and hypotheses.
3. Understand basic ways of conducting qualitative research in psychology.
4. Conduct and interpret basic types of quantitative data analyses commonly involved in psychological research using statistical software.
5. Present the methods and results of psychological research in the appropriate APA format.
6. Recognise the benefits of applying both qualitative and quantitative approaches to certain research questions in psychology.
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)
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 7: Digital capabilities
Graduates are well prepared for living, learning and working in a digital society.
Required ResourcesDetails of the course textbook will be provided prior to the semester commensing.
Students will be required to access the statistical computing and graphics software ‘R’ (https://www.r-project.org/) as well as the integrated development environment (IDE) for R called ‘RStudio’ (https://www.rstudio.com/products/rstudio/). Instructions on installation and use will be provided in class.
Recommended ResourcesBarr Smith Library – Psychology on the Web
The Library is a major resource centre for students. The Research Librarian for Psychology provides some useful information through the Internet at http://libguides.adelaide.edu.au/psychology. The website contains a list of databases, links to tutorials and help with searching methods.
Online LearningThis course may use MyUni for one or more of the following:
• Communication with students via Announcements and Discussion Board
• Access to general course information
• Access to information about assessments
• Submission of summative assessments
• Access to lecture recordings and materials
• Access to tutorial materials
• Additional readings
• Self-directed learning activities
Link to MyUni:
Learning & Teaching Activities
Learning & Teaching ModesThis course will involve a series of lectures and other online learning activities on quantitative, qualitative and mixed methods. These lectures are supported by face-to-face tutorials, online content, readings and a workshop.
The information below is provided as a guide to assist students in engaging appropriately with the course requirements.Face-to-Face & Online Contact Hours
Around 3 hours per week in Lectures and other online learning activities over a 12 week period (Total 36 hours)
6 hours per semester in Tutorials as scheduled (Total 6 hours)
2 hour Workshop (in the first week)
Up to 3 hours of other course related activities, such as completing surveys, etc. (Total 5 hours)
Revision of Material / Tutorial Preparation
2 hours per week for revision of lecture content and set readings (Total 48 hours)
1 hour of preparation for each tutorial (Total 6 hours)
Around 3-5 hours for the completion of each assignment during the semester (Total 15-25 hours)
Report related work, including writing of the report (approx. 30-40 hours)
Total time commitment: 156 hours (13 hours per week)
Learning Activities SummaryA detailed course timetable is provided under Course Information on MyUni.
Week Topic Lecture Other Week 1 Quantitative Methods Quantitative Methods Workshop Week 2 Quantitative Methods Quantitative Methods Tutorial Week 3 Quantitative Methods Quantitative Methods Week 4 Quantitative Methods Quantitative Methods Tutorial Week 5 Quantitative Methods Quantitative Methods Week 6 Quantitative Methods Quantitative Methods Tutorial Mid-semester teaching break Week 7 Quantitative Methods Quantitative Methods Tutorial Week 8 Quantitative Methods Quantitative Methods Week 9 Quantitative Methods Quantitative Methods Tutorial Week 10 Qualitative/Mixed Methods Qualitative/Mixed Methods Week 11 Qualitative/Mixed Methods Qualitative/Mixed Methods Tutorial Week 12 Qualitative/Mixed Methods Qualitative/Mixed Methods
Disclaimer: This program is provisional and subject to change
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)
Report Summative 35% 1 - 2, 4 - 5 Assignment 1 Summative 10% 1 , 2, 4 Assignment 2 Summative 10% 1, 2, 4 Assignment 3 Summative 10% 1 - 2, 4 - 5 Assignment 4 Summative 15% 1 - 2, 4 - 6 Assignment 5 Summative 15% 2 - 3, 6 Workshop attendance Summative 5% 1 - 4
Assessment Related RequirementsStudents must attend the workshop in the first week to obtain credit.
Assessment DetailReport: The report will be based on activities communicated throughout the course. The report will require students to work with a dataset in order to apply appropriate analysis techniques to address the problems provided. These procedures and results, along with any interpretations, will then be submitted as a written report.
Assignments: Assignments consist of multiple-choice questions, and short answer problem sets that must be accessed and completed online via MyUni. Questions will involve analysing a particular data set and interpreting and presenting the findings.
Class Attendance: Workshop attendance (first week) is recorded and assessed. Tutorial attendance is not recorded but is an essential component of the course design and teaching.
SubmissionAll assignments must be submitted electronically via MyUni, as described in the instructions for each assignment.
Please refer to the General Handbook for Undergraduate Psychology students (available at the link below) 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.
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.
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