|Unit convenor and teaching staff||
Unit convenor and teaching staff
Unit Convenor and Lecturer
Contact via Contact via Email
Room C311, Level 3 25C Wally's Walk
Contact via Contact via Email
SSCI100 or SSCI1000
The unit introduces students to the logic of quantitative social inquiry, with a specific focus on social surveys. Social surveys are widely employed in today’s social science workplaces, with an array of uses in policy-making, public debate and social research. Survey methodologies collect systematic information about cases and present this information in a structured ‘data grid’, which can be used to test theoretically informed hypotheses and inferences. Surveys are used in many different types of studies, from quasi-experiments to cross-sectional and longitudinal studies. Building on SSCI1000 and SSCI2010, the unit focuses on linking quantitative research design to data analysis, including the deductive logic of quantitative research and analysis. Students learn how to develop survey questionnaires and collect other forms of quantitative data, as well as how to use computer software to analyse survey data. The unit aims to show that credible findings from survey research are as reliant on collecting valid and reliable data as they are on applying relevant analytic techniques.
Information about important academic dates including deadlines for withdrawing from units are available at https://www.mq.edu.au/study/calendar-of-dates
On successful completion of this unit, you will be able to:
Academic Integrity is an intergral part of the core values and principles contained in the Macquarie University Ethics Statement. Its fundamental principle is that all staff and students act with integrity in the creation, development, application and use of ideas and information. This means that:
University Grading Policy
The grade that a student receives will signify their overall performance in meeting the learning outcomes of the unit of study. Graded units will use the following grades
HD High Distinction 85-100
D Distinction 75-84
Cr Credit 65-74
P Pass 50-64
F Fail 0-49
Results published on platform other than eStudent, (eg. iLearn, Coursera etc.) or released directly by your Unit Convenor, are not confirmed as they are subject to final approval by the University.
Return of Marked Work
As per university policy, written assessments will be returned to students within three weeks of the submission date. Early assignments will not be marked early.
Special Consideration (Extensions)
The University recognises that students may experience events or conditions that adversely affect their academic performance. If you experience serious and unavoidable difficulties at exam time or when assessment tasks are due, you can consider applying for Special Consideration.
You need to show that the circumstances:
More information about Special Consideration is available in the Policies and Procedures section of the unit guide.
Unless a Special Consideration request has been submitted and approved, a penalty for lateness will apply – ten (10) marks out of 100 will be deducted per day for assignments submitted after the due date (or extended due date in cases where special consideration is granted). No late submissions will be accepted for timed assessments – e.g. quizzes, online tests.
Macquarie University offers a range of wellbeing services (including [but not limited to]: health, welfare, counselling, disability and student advocacy services) that are available to you at any time during your studies. Campus Wellbeing is here to support you and help you succeed, both academically and personally. More information is available in the Policies and Procedures section of the unit guide.
|Data Analysis Report||40%||No||12/11/2021|
First Online Quiz
Second Online Quiz
1,800 to 2,000 word research report
Active participation in unit sessions
1 If you need help with your assignment, please contact:
2 Indicative time-on-task is an estimate of the time required for completion of the assessment task and is subject to individual variation
Lecture and workshop times
Lectures are delivered online due to the COVID-19 restriction. Lecture recordings will be uploaded every Monday. Students can access lecture recordings and lecture presentation files on the course iLearn page.
Workshops will take place on Tuesdays and Wednesdays in 25 Wallys Walk - B237 Digital Laboratory(On-campus workshop) or via Zoom(Online workshops). The links to Zoom online workshops are available on the course iLearn page. Also, the Workshop instructions are available at https://methods101.com. Click SSCI2020 at the left sidebar. You will see 12 workshop guidelines. For completing Workshop tasks, students can seek advice and help from tutors in the workshop sessions.
This course draws on one required textbook:
For those who find the required textbook difficult to read, the following textbook(optional) is recommended:
The following technologies are used in SSCI2020:
Make sure that you regularly check your student email for correspondence with teaching staff and course announcements.
Important information about the weekly schedule for SSCI2020, course readings and assessment are all available on the course iLearn page. If you do not have access, please contact IT help. You are required to check iLearn and your student email regularly for course updates and information.
SPSS is the primary statistical analytic tool for SSCI2020. Learning SPSS to analyse datasets is an essential component of this unit. SPSS is available in the workshops and some computers in the library and digital lounge (C5C - 17 Wally’s Walk). Students can also access remotely SPSS through AppStream (see below).
AppStream is the university's a new application streaming service which provides students access to existing iLab applications via browser from anywhere, anytime, on any device. Students do not need to install a client on their device to access applications. Google Chrome is recommended browser for AppStream. Login to mq.okta.com with your MQ OneID to access AppStream applications.
Workshop guidelines are available at https://methods101.com/docs/. The website provides easy-to-follow instructions on how to use SPSS to analyse data. In the website, click SSCI2020 at the left sidebar. Then, you can access the guidelines for each workshop. If you do not have access, please contact the unit convenor.
Turnitin and GradeMark
The written assessment for SSCI2020 needs to be submitted via Turnitin. A link to Turnitin is available via the Assessments tab on the iLearn page. Please contact the convenor if you cannot find it (do not leave it until the due date of the assessment). Assessments will be marked via GradeMark and returned to students electronically.
Leganto is the electronic system for accessing unit readings that can be accessed via the iLearn page. Readings are allocated by weekly schedules. As well as the required readings for each week, you will find recommended and optional readings. The required readings are available in pdf or electronic format. If you are not able to access the readings, please contact the unit convenor via email.
Zoom is an online video conferencing software platform. It is used for online workshops, optional meetings, and consultation.
|1||Introduction to Quantitative Research Methods||No workshop|
|2||Quantitative Research Design||Introduction to SPSS|
|3||Univariate Statistics||Exploratory Data Analysis 1|
|4||Statistical Charts and Normal Distribution||Exploratory Data Analysis 2|
|5||Normal Distribution||Normal Distribution and Z-scores|
|6||Sampling and Sampling Distribution||Random Sampling Experiment|
|7||Estimating Confidence Intervals||Computing Confidence Intervals|
|9||Bivariate Association||Cross-table and Chi-square|
|10||Correlation and Regression||Correlation and Regression Analysis|
|11||Multiple Regression Model||Multiple Regression Analysis 1|
|12||Dummy Variables in Regression Model||
Multiple Regression Analysis 2
|13||Consultation for Data Analysis Report||Consultation for Data Analysis Report|
Macquarie University policies and procedures are accessible from Policy Central (https://policies.mq.edu.au). Students should be aware of the following policies in particular with regard to Learning and Teaching:
Students seeking more policy resources can visit Student Policies (https://students.mq.edu.au/support/study/policies). It is your one-stop-shop for the key policies you need to know about throughout your undergraduate student journey.
Macquarie University students have a responsibility to be familiar with the Student Code of Conduct: https://students.mq.edu.au/admin/other-resources/student-conduct
Results published on platform other than eStudent, (eg. iLearn, Coursera etc.) or released directly by your Unit Convenor, are not confirmed as they are subject to final approval by the University. Once approved, final results will be sent to your student email address and will be made available in eStudent. For more information visit ask.mq.edu.au or if you are a Global MBA student contact email@example.com
Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/
Learning Skills (mq.edu.au/learningskills) provides academic writing resources and study strategies to help you improve your marks and take control of your study.
The Library provides online and face to face support to help you find and use relevant information resources.
Students with a disability are encouraged to contact the Disability Service who can provide appropriate help with any issues that arise during their studies.
For all student enquiries, visit Student Connect at ask.mq.edu.au
If you are a Global MBA student contact firstname.lastname@example.org
For help with University computer systems and technology, visit http://www.mq.edu.au/about_us/offices_and_units/information_technology/help/.
When using the University's IT, you must adhere to the Acceptable Use of IT Resources Policy. The policy applies to all who connect to the MQ network including students.
Quiz 1 will be administered online via the course iLearn page. It will consist of 20 multiple-choice or true-or-false questions, and you will have 40 minutes to complete it. You will be asked to read each question and select the BEST response from the available options. This quiz will draw on course materials from the lectures and workshops from week 1 to week 6.
The online quiz will become available on Thursday 3rd September, and you can undertake the quiz until Friday 4th September (at 11:59 pm EST). It will become available via the SSCI202 iLearn page. The quiz can be taken only once, and it is up to you to ensure that you have time available to undertake the quiz.
More information will become available in week 5 lecture. Please follow the Special Consideration policy when applying for an extension. As per the Faculty of Arts policy, no late submissions will be accepted for the online quiz without an extension.
Note) In the event of technical difficulties, it is your responsibility to contact the unit convenor before the due date and follow the instructions on iLearn in notifying the university. We advise you to ensure that you can access the link to the quiz on Thursday 3rd September (without starting the quiz unless you want to).
Quiz 2 will also be administered online via the course iLearn page. Again, students will have 40 minutes to complete the quiz (which consists of 20 multiple-choice or true-false questions). It will focus on course materials from week 7 to week 12.
The online quiz will become available on Thursday 29th October, and you can undertake the quiz until Friday 30th October (at 11:59 pm EST). It will become available via the SSCI202 iLearn page. The quiz can be taken only once, and it is up to you to ensure that you have time available to undertake the quiz.
More information will be provided in week 11 lecture. Please follow the Special Consideration policy when applying for an extension. As per the Faculty of Arts policy, no late submissions will be accepted for the online quiz without an extension.
Note) In the event of technical difficulties, it is your responsibility to contact the unit convenor before the due date and follow the instructions on iLearn in notifying the university. We advise you to ensure that you can access the link to the quiz on Thursday 29th October (without starting the quiz unless you want to).
The major assessment for SSCI2020 is a data analysis report of 1,800 to 2,000 words. This task is designed to assess students’ overall ability to address social science inquiries using quantitative research skills. It will require you to select a research topic (and its related datasets) from the options made available on the iLearn page. You will need to do some background reading on the topic, critically reflect on it, formulate research hypotheses, analyse the related dataset, and interpret the statistical outcomes. Using SPSS is a must for this task. You will learn all the necessary SPSS skills in the workshops throughout the semester.
Both the research topics and related datasets for this task will be provided and become available on the SSCI2020 iLearn page in week 8. The report should be submitted via Turnitin, and it will be marked via GradeMark. Please do not submit hard copies of this task and ensure that you have access to the Turnitin link before the due date. More information will be provided in week 8 lecture.
Internal students are expected to listen to lecture recordings and review workshop guides (See https://methods101.com. For more details, see the course iLearn page) every week. Also, students are expected to complete Weekly Participation Activities which check the understanding of major topics of lectures and the completion of workshop tasks. The links to Weekly Participation Activities will be available via the course iLearn page (under the section of each week).
Internal students' active participation grade will be based on: