PSYCHOL 2004 - Doing Research in Psychology
North Terrace Campus - Semester 1 - 2014
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 Prerequisites PSYCHOL 1000 & PSYCHOL 1001 or equivalent Incompatible PSYCHOL 2001 Restrictions PSYCHOL 2001 Course Description The course presents an introduction to current approaches to research in psychology. It considers the relative merits and shortcomings of these approaches. Consideration will be given to methods ranging from the interpretative to the experimental, and to appropriate procedures for analysing and drawing conclusions from the data such methods produce.
Course Coordinator: Dr Rachel StephensSchool 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 Outcomes1. Use statistical software to explore and analyse the basic types of quantitative data typically involved in psychological research
2. Understand the logic behind null hypothesis significance testing, confidence intervals and effect sizes and the conclusions that can be drawn when applying them to psychological research
3. Evaluate and synthesise various sources of evidence to assess research questions and hypotheses
4. Know how to match the appropriate quantitative data analysis and/or qualitative approach to different kinds of basic psychological research questions
5. Present the results of psychological research in the appropriate APA format (6th Edition)
6. Understand basic ways of conducting qualitative research in psychology that are concerned, fundamentally, with investigating human meaning-making
7. Evaluate critically 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) Knowledge and understanding of the content and techniques of a chosen discipline at advanced levels that are internationally recognised. 1-7 The ability to locate, analyse, evaluate and synthesise information from a wide variety of sources in a planned and timely manner. 1,3,4 An ability to apply effective, creative and innovative solutions, both independently and cooperatively, to current and future problems. 3,4 Skills of a high order in interpersonal understanding, teamwork and communication. 5 A proficiency in the appropriate use of contemporary technologies. 1
Required ResourcesRequired reference: Navarro, D. J. Learning Statistics with R.
This is available to download or purchase as an affordable hard copy from: ua.edu.au/ccs/teaching/lsr
For additional information regarding required resources please refer to the relevant Undergraduate Program Handbook at the following link:
Recommended ResourcesBarr Smith Library – Psychology on the Web
The Library is a major resource centre for students. The Research Librarian for Psychology, Maureen Bell, 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.
For additional information regarding recommended resources please refer to the relevant Undergraduate Program Handbook at the following link:
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
• Submission of summative assessment
• Access to lecture recordings and materials
• Access to tutorial materials
• Additional readings
• Self-directed learning activities
• Exam preparation materials
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 Contact Hours
Up to 3 hours per week in Lectures over a 12 week period (Total 36 hours)
5 hours per semester in Tutorials as scheduled (Total 5 hours)
Revision of Material / Tutorial Preparation
1.5 hours per lecture for revision of lecture content and set readings (Total 54 hours)
1 hour of preparation for each tutorial (Total 5 hours)
2 hours for each self-directed learning activity (Total 4 hours)
3 hours for the completion of each assignment during the semester (Total 15 hours)
Exam revision as required (approx. 22 hours)
Total time commitment: 144 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 Qualitative Methods Qualitative Methods Week 9 Qualitative Methods Qualitative Methods Week 10 Mixed Methods Mixed Methods Week 11 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 Exam Summative 50% 1-7 Quantitative Multiple Choice Test #1: Descriptive Statistics Summative (Due 14th April) 10% 1,3,4 Quantitative Multiple Choice Test #2: Statistical Theory Summative(Due 22nd April) 10% 2 Quantative Problem Set #1 (PS1): Chi-Square Tests & T-Tests Summative (Due 5th May) 10% 1-5 Quantitative Problem Set #2 (PS2): ANOVA & Regression Summative (Due 19th May) 10% 1-5 Qualitative Multiple Choice Test Summative (Due 2nd June) 10% 4,6
Assessment DetailExam: The exam will consist of a combination of multiple choice questions and short answer questions. All readings and lectures over the course of the semester are assessable. Details of exam periods are available via the University’s examinations website. You are required to be available for both the primary and Replacement/Additional Assessment exam periods.
Multiple Choice Tests: These three tests are multiple-choice quizzes that must be accessed and completed online via MyUni.
Quantitative Problem Sets: These 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.
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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