PSYCHOL 2004 - Doing Research in Psychology
North Terrace Campus - Semester 1 - 2020
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) 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)
1-6 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
Required ResourcesThe accompanying text for this course is ‘Learning Statistics with R’ by Danielle Navarro. The text is freely available as a pdf file or bookdown adaption at the following website: https://learningstatisticswithr.com/
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 on quantitative, qualitative and mixed methods. These lectures are supported by face-to-face tutorials, online activities and readings.
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 over a 12 week period (Total 36 hours)
Up to 6 hours per semester in Tutorials as scheduled (Total 6 hours)
Up to 5 hours of other course related activities, such as completing surveys, etc. (Total 5 hours)
Revision of Material / Tutorial Preparation
2 hours per lecture for revision of lecture content and set readings (Total 48 hours)
1 hour of preparation for each tutorial (Total 6 hours)
3 hours for the completion of each assignment module during the semester (Total 15 hours)
Report related work, including preparation of report (approx. 40 hours)
Total time commitment: 156 hours
Learning Activities SummaryA detailed course timetable is provided under Course Information on MyUni.
Week Topic Lecture Week 1 Quantitative Methods Quantitative Methods Week 2 Quantitative Methods Quantitative Methods Week 3 Quantitative Methods Quantitative Methods Week 4 Quantitative Methods Quantitative Methods Week 5 Quantitative Methods Quantitative Methods Week 6 Quantitative Methods Quantitative Methods Week 7 Quantitative Methods Quantitative Methods Week 8 Quantitative Methods Quantitative Methods Week 9 Qualitative Methods Qualitative Methods Week 10 Qualitative Methods Qualitative Methods Week 11 Mixed Methods Mixed Methods Week 12 Mixed Methods 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) being addressed Report Summative 40% 1-2,4-5 Quantitative Multiple Choice Test #1 Summative 10% 1,2,4 Quantitative Multiple Choice Test #2 Summative 10% 1,2,4 Quantative Problem Set #1 (PS1) Summative 10% 1-2,4-5 Quantitative Problem Set #2 (PS2) Summative 10% 1-2,4-6 Qualitative Multiple Choice Test Summative 10% 2-3,6 Tutorial attendance Formative 10% 1-4
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.
Multiple Choice Tests: The three tests are multiple-choice quizzes that must be accessed and completed online via MyUni.
Problem Sets: The two problem sets must be accessed and submitted online via MyUni. They will involve analysing a particular data set and interpreting and presenting the findings.
Class Attendance: Tutorial attendance is recorded. 1% is allocated for attending each of up to 5 of the 6 scheduled classes. Students are encouraged to attend all classes.
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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