This course acquaints you with a range of advanced statistical techniques used in psychological research, including analysis of variance and covariance, correlation, and simple and hierarchical regression. You will be required to formulate null and alternative hypotheses, identify and describe appropriate statistical techniques and correctly interpret statistical results, including identifying violation of appropriate assumptions and understanding choices for alternative statistical tests or data manipulation strategies. Statistical computing using the SPSS statistical package is an essential part of the course.
|Learning materials – 1 hour online learning materials||1hr||Week 1||13 times|
|Tutorial/Workshop 1 – 2 hour on campus computer workshop||2hrs||Week 1||13 times|
Summary of Course Competensies:
Design and methodology
a. Comparing samples (experimental, quasi-experimental, group differences)
b. Relationships between variables (experimental, non-experimental)
c. Interpretative factors – power, effect size, confidence intervals, sampling, type I and II errors
Non-NHST testing approaches – introductory level
Qualitative approaches – introductory level
Analytical techniques (highest level of complexity reached)
a. 2 way (within, between, interactions and mixed)
b. Covariate (ANCOVA)
c. Repeated measures
a. Standard, hierarchical, stepwise, forward and backward
a. Odds ratio
b. likelihood ratio
a. Chi square
300 Level (Graduate)
|Course Learning Outcomes On successful completion of this course, you should be able to...||Graduate Qualities Completing these tasks successfully will contribute to you becoming...|
|1||Demonstrate knowledge of a range of statistical techniques used in psychological research.||Knowledgeable|
|2||Demonstrate knowledge and competence of SPSS.||
|3||Select and apply statistical techniques appropriate for the analysis of specific psychological data.||Creative and critical thinker|
|4||Justify the selection and use of appropriate statistical techniques.||
|5||Write and present research findings in a scientific fashion.||Empowered|
Refer to the UniSC Glossary of terms for definitions of “pre-requisites, co-requisites and anti-requisites”.
PSY200 and PSY201 OR PSY207
Standard Grading (GRD)
|High Distinction (HD), Distinction (DN), Credit (CR), Pass (PS), Fail (FL).|
Practice quizzes, with access to answers, will be provided online in Canvas, aligned appropriately with the content material to be assessed in the first Task assessment in Week 5, in earlier weeks.
|Delivery mode||Task No.||Assessment Product||Individual or Group||Weighting %||What is the duration / length?||When should I submit?||Where should I submit it?|
|Week 5||Online Test (Quiz)|
|All||2||Practical / Laboratory Skills, and Written Piece||Individual||30%||
Data analysis and short answer questions (provide the correct statistical result), interpretation through correct response choice.
|Week 11||Online Submission|
|All||3||Examination - Centrally Scheduled||Individual||50%||
|Exam Period||Exam Venue|
|All - Assessment Task 1:Class test|
Demonstrate an understanding of hypothesis testing, statistical techniques and interpretation of statistical results. You will be required to formulate null and alternative hypotheses, identify and describe appropriate statistical techniques and correctly interpret statistical results, including identification of violations of appropriate statistical assumptions
The multiple choice test will be open in week 5 through Canvas, Assessments. Once begun, the test will have a limit of 50 minutes for completion. The test will comprise 20 multiple choice questions relating to the coursework presented during weeks 1 to 5.
|All - Assessment Task 2:Data Analysis Assignment|
Demonstrate the ability to conduct data analysis using SPSS and interpret the findings
|Product:||Practical / Laboratory Skills, and Written Piece|
You will be provided with a data set and instructions via Canvas and required to answer structured questions worth a total of 30 percent of the total marks for the course. Each of the questions/sub-questions will require you to analyse data, provide answers in correct APA format and to interpret the results appropriately. The Assignment instructions and data set will be provided in Week 8.
|All - Assessment Task 3:Final examination|
Demonstrate the ability to select appropriate statistical techniques to data types; demonstrate the ability to interpret statistical output provided. The exam will require the selection of appropriate statistical techniques for analysing different types of data, and the interpretation of statistical output. The examination will cover material drawn from all lectures and computer workshops.
|Product:||Examination - Centrally Scheduled|
You will sit a two-hour examination during the end of semester examination period.
A 12-unit course will have total of 150 learning hours which will include directed study hours (including online if required), self-directed learning and completion of assessable tasks. Student workload is calculated at 12.5 learning hours per one unit.
Please note: Course information, including specific information of recommended readings, learning activities, resources, weekly readings, etc. are available on the course Canvas site– Please log in as soon as possible.
Access to UniSC laboratories to use SPSS or access to a stable internet connection to use the online laboratory to access SPSS from outside UniSC
Academic integrity is the ethical standard of university participation. It ensures that students graduate as a result of proving they are competent in their discipline. This is integral in maintaining the value of academic qualifications. Each industry has expectations and standards of the skills and knowledge within that discipline and these are reflected in assessment.
Academic integrity means that you do not engage in any activity that is considered to be academic fraud; including plagiarism, collusion or outsourcing any part of any assessment item to any other person. You are expected to be honest and ethical by completing all work yourself and indicating in your work which ideas and information were developed by you and which were taken from others. You cannot provide your assessment work to others. You are also expected to provide evidence of wide and critical reading, usually by using appropriate academic references.
In order to minimise incidents of academic fraud, this course may require that some of its assessment tasks, when submitted to Canvas, are electronically checked through Turnitin. This software allows for text comparisons to be made between your submitted assessment item and all other work to which Turnitin has access.
Your eligibility for supplementary assessment in a course is dependent of the following conditions applying: The final mark is in the percentage range 47% to 49.4% The course is graded using the Standard Grading scale You have not failed an assessment task in the course due to academic misconduct.
Late submission of assessment tasks may be penalised at the following maximum rate: - 5% (of the assessment task's identified value) per day for the first two days from the date identified as the due date for the assessment task. - 10% (of the assessment task's identified value) for the third day - 20% (of the assessment task's identified value) for the fourth day and subsequent days up to and including seven days from the date identified as the due date for the assessment task. - A result of zero is awarded for an assessment task submitted after seven days from the date identified as the due date for the assessment task. Weekdays and weekends are included in the calculation of days late. To request an extension you must contact your course coordinator to negotiate an outcome.
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