• Class Number 4271
  • Term Code 2930
  • Class Info
  • Unit Value 6 units
  • Mode of Delivery In Person
    • Dr Joanna Sikora
  • Class Dates
  • Class Start Date 25/02/2019
  • Class End Date 31/05/2019
  • Census Date 31/03/2019
  • Last Date to Enrol 04/03/2019
    • Miguel Lattz
    • Tita Tabije
SELT Survey Results

In the 21st century sociologists, criminologists and political scientists can access a wealth of information contained in survey data repositories. To enable students to evaluate the quantitative literature and analyse survey data themselves, this course lays the foundations for three types of skills.

First, students will consider the theoretical underpinnings of survey design. Second, they will learn about the basics of statistical theory and understand which samples do and do not represent populations of interest. Finally, they will learn to use Stata, a software package that many social scientists choose for data analysis. The course is based on an inquiry-led pedagogy. Therefore, students will learn while designing and conducting their own research project, based on their investigation of survey data. The project will be written up as a research report that meets basic criteria set for survey-based publications in sociology, criminology or political science.

Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

  1. Understand and evaluate quantitative research articles.
  2. Design a basic survey questionnaire and analyze survey data to answer specific research questions with cross-tabulations, t-tests, correlations and ordinary least squares regressions.
  3. Understand the concept of random sampling and its relationship to statistical inferences.
  4. Write survey analysis reports to professional standards.
  5. Formulate and answer ad hoc verbal queries about statistical procedures and software.

Research-Led Teaching

Students in this course are required to complete, under the guidance of instructors, an independently designed research project based on survey data. Students will choose one of the provided large, population-representative survey data sets. Students will produce a data analysis proposal to receive feedback and guidance on further development of the proposed project. As the next step, students will complete data analyses for their project and write a data analysis report, based on their own statistical analyses.

Additional Course Costs

It is recommended that students purchase a 6-month licence for Stata 15, Flavour Stata/IC, AUD 72, available from http://www.surveydesign.com.au/buygradplan.html Alternatively, students can access Stata software in all Information Commons areas.

Examination Material or equipment

A non-programmable calculator (students should check with the Examination Office what models are allowed).

One double sided page of notes. Notes must be handwritten or printed in Times New Roman 12 pt with 2cm margins on all sides.

Required Resources

1.    All the required readings for this course will be available in Wattle. Readings must be completed before coming to class.

2.    Students can gain access to Stata in PC labs on the ANU campus, but the purchase of own software licence is recommended.

This course is supported with a selection of readings available in Wattle. Students are required to read tutorial and lab notes before coming to class and complete other required readings also before coming to class. Moreover, students will find it useful to have some Stata data analysis manual and some book on survey research on hand to read them regularly. Books below are very good, but students can use any book they like.


1.    De Vaus, David 2013. "Surveys in Social Research." London: Allen and Unwin, 6th Edition,

E-book available through the library website http://library.anu.edu.au/record=b3628743


2.    Pevalin, David and Karen Robson. 2009. "The Stata Survival Manual." Maidenhead: Open University Press, McGraw-Hill. E-book available through the library website http://site.ebrary.com/lib/anuau/detail.action?docID=10350202

Staff Feedback

Students will be given feedback in the following forms in this course:

  • Written comments on Assignment 1 unless submission is late.
  • Verbal comments on Assignment 2 by appointment.
  • Oral feedback to the whole class during lectures, tutorials and PC labs.

Student Feedback

ANU is committed to the demonstration of educational excellence and regularly seeks feedback from students. Students are encouraged to offer feedback directly to their Course Convener or through their College and Course representatives (if applicable). The feedback given in these surveys is anonymous and provides the Colleges, University Education Committee and Academic Board with opportunities to recognise excellent teaching, and opportunities for improvement. The Surveys and Evaluation website provides more information on student surveys at ANU and reports on the feedback provided on ANU courses.

Other Information

Missed tutorials and labs

Students who have medical certificate to excuse their absence from a tutorial or lab and wish to make up for participation credit need to email their certificate to the course convener along with evidence of completed tutorial or lab activities. This means completing activities specified in tutorial or lab notes available on Wattle and demonstrating the outcome with log files, notes, answers to exercises etc. If students cannot complete these activities because they do not have access to some resource that was made available in class, they should email the course convener.

Keeping track of marks

Students will see their marks as they appear in their Wattle grade book. They should check their records and notify the course convener within 2 weeks about any errors, discrepancies etc. It is the students' responsibility to retain copies of their submitted homework, which should be presented in case of any dispute. This is extremely important, so students must keep copies of all submitted assignments and, if requested, resubmit them. Students should check their submission file carefully before submission and keep a copy of the file with its time stamp preceding the submission deadline. 

International and culturally diverse students

The University offers special assessment arrangements for Students from Language Backgrounds other than English. If students wish to utilize them they need to follow the steps outlined in this document https://policies.anu.edu.au/ppl/document/ANUP_004603 The course convener can answer questions about this policy but students should first read Sections 29 through 32.


Referencing requirements

The preferred referencing style for this course is the APA referencing style. Students should use software called Endnote to format their references. Any style like the APA style is acceptable but it must be used consistently. Students should reference only sources which they have read in full.

Labs and Tutorials

In addition to the lectures, each student is expected attend 9 labs and 7 tutorials. Students will need their student ID card to enter and leave labs. Students should use their lab or tutorial time in Week 1 to check that they can get into their designated lab, that they know how to download files to their Home Drive and are familiar and can work with file access paths. Students should consult the weekly schedule, in the course syllabus, to know when tutorials and labs will and will not be held. Students will need a calculator in most tutorials. It is recommended that students use a non-programmable calculator. Class venues can change on short notice so students must check their email regularly as information about changes will be emailed.


Instructors will be more than happy to see students individually to discuss, clarify or expand on any issues in the course organization, delivery or material. However, staff cannot provide real help a couple of days before an assignment is due, so students are asked to schedule a meeting at least a week before an assignment is due. Staff will not provide comments on drafts of assignments. In most cases staff are also unable to answer questions about Stata programming problems over email.

The information provided is a preliminary Class Outline. A finalised version will be available on Wattle and will be accessible after enrolling in this course. All updates, changes and further information will be uploaded on the course Wattle site and will not be updated on Programs and Courses throughout the semester. Any questions or concerns should be directed to the Course Convenor.

Class Schedule

Week/Session Summary of Activities Assessment
1 1. What will we learn in this course? Course structure and goals. 2. Philosophy behind research. Is survey research always positivist? Lab: No lab Tutorial: No tutorial
2 3. Data sources for quantitative research 4. Analysis: From research questions to indicators of concepts Lab: 1. Introduction to Stata: data entry Tutorial: 1. The structure of a quantitative research
3 5. How to construct a survey questionnaire? Lab: 2. How to produce frequency distributions in Stata Tutorial: No tutorial Assessment: Quiz 1 due
4 6. Measurement, validity and reliability 7. Probability and sampling Lab: 3. How to code and transform variables in Stata Tutorial: 2. Questionnaire design Assessment: Quiz 2 due
5 8. Normal distribution & z-scores 9. Descriptive statistics: typicality and variation Lab: 4. Descriptive statistics in Stata Tutorial: 3. Random sampling and the Central Limit Theorem Assessment: Assignment 1 due Quiz 3 due
6 10. Descriptive statistics in publications 11. Crosstabulations and chi-square statistics Lab: 5. How to generate cross-tabulations in Stata Tutorial: 4.Chi-square statistics for tables Assessment: Quiz 4 due
7 12. Cross-tabulations: how to use them in reports and publications Lab: No lab Tutorial: No tutorial Assessment: Quiz 5 due
8 13. Hypotheses testing 14.Statistical inference in publications Lab: No lab Tutorial: No tutorial Assessment: Quiz 6 due
9 15. Correlations: conceptual underpinnings 16. Correlations: how to use them in analyses? Lab: 6. Hypotheses about means and proportions in Stata Tutorial: 6. Hypothesis testing- a review Assessment: Quiz 7 due
10 17. Ordinary Least Squares Regression: basic ideas 18. Ordinary Least Squares Regression: modelling assumptions Lab: 7. How to produce correlations in Stata Tutorial: No tutorial Assessment: Assignment 2 due Assessment: Quiz 8 due
11 19. Multivariate Ordinary Least Squares Regression: conceptual issues 20. Presenting Multivariate Ordinary Least Squares regression in publications Lab: 8. How to run Ordinary Least Squares regression models Tutorial: 7. How to report correlations and regressions Assessment: Quiz 9 due
12 21. Ethical considerations in survey research 22. What to expect on the exam Lab: 9. Predicted values from OLS and their uses Tutorial: No tutorial Assessment: Quiz 10 due

Tutorial Registration

Each student must enrol into one PC Lab and one Tutorial group. Tutorial and lab registration will be available in Wattle.

Assessment Summary

Assessment task Value Due Date Return of assessment Learning Outcomes
Data analysis proposal 15 % 01/04/2019 15/04/2019 1, 2, 3, 4
Data analysis report (based on cross-tabulations or other methods taught in SOCY2038) 35 % 14/05/2019 30/05/2019 1, 2, 3, 4
Pen and paper exam 30 % 01/01/2099 02/01/2099 2, 3, 4
Quizzes (10 quizzes worth 1% each) 10 % 01/01/2099 02/01/2099 1, 2, 3, 4
Participation in labs and tutorials 10 % 01/01/2099 02/01/2099 1, 3, 5

* If the Due Date and Return of Assessment date are blank, see the Assessment Tab for specific Assessment Task details


ANU has educational policies, procedures and guidelines, which are designed to ensure that staff and students are aware of the University’s academic standards, and implement them. Students are expected to have read the Academic Misconduct Rule before the commencement of their course. Other key policies and guidelines include:

Assessment Requirements

The ANU is using Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. For additional information regarding Turnitin please visit the ANU Online website. Students may choose not to submit assessment items through Turnitin. In this instance you will be required to submit, alongside the assessment item itself, hard copies of all references included in the assessment item.

Moderation of Assessment

Marks that are allocated during Semester are to be considered provisional until formalised by the College examiners meeting at the end of each Semester. If appropriate, some moderation of marks might be applied prior to final results being released.


Students who do not attend any classes will not be able to meet Learning Outcome No 5 and therefore pass the course. In class students will be given opportunities to raise and answer questions and they need to take them up to earn participation credit. There is no minimum class attendance requirement.


This course involves a formal final exam. Students are assessed on and receive credit for demonstrated skills taught in this course.

Assessment Task 1

Value: 15 %
Due Date: 01/04/2019
Return of Assessment: 15/04/2019
Learning Outcomes: 1, 2, 3, 4

Data analysis proposal

Details: A separate document with Assignment 1 guidelines and assessment rubrics will be available in Wattle. All guidelines are provided on the assumption that students know the content of the course syllabus available in Wattle plus the relevant lectures, tutorial and lab notes.

Word limit: 1000-1500

Credit value: 15%

Submission requirements: 1) Electronic copy in Wattle through Turnitin Assignment 1 link by 11.59pm

                                                2) Another identical copy in Wattle through Assignment 1 link by 11.59pm

Estimated return date: Approximately two weeks for submissions received on time (when staff-to-students ratio does not exceed 1:40)

Feedback: Written feedback will be uploaded to Wattle or emailed to students' university email accounts.

Assessment Task 2

Value: 35 %
Due Date: 14/05/2019
Return of Assessment: 30/05/2019
Learning Outcomes: 1, 2, 3, 4

Data analysis report (based on cross-tabulations or other methods taught in SOCY2038)

A separate document with Assignment 2 guidelines and assessment rubrics will be available in Wattle. All guidelines are provided on the assumption that students know the relevant course content available in Wattle.

Word limit (and other requirements): 2000-2500 words plus Stata do file (submitted as text or a .do file). The Stata do files, references and appendices do not count towards the word limit.

Credit value: 35%

Submission requirements: 1) Electronic copy in Wattle through Turnitin Assignment 2 link by 11.59pm

                                                2) Another identical copy in Wattle through Assignment 2 link by 11.59pm

Estimated return date: Approximately two weeks for submissions received on time if staff-to-students ratio does not exceed 1:40.

Feedback: Assessment sheets (ticked boxes) will be emailed or uploaded to Wattle. More extensive oral feedback will be provided by appointment, if required.

Assessment Task 3

Value: 30 %
Due Date: 01/01/2099
Return of Assessment: 02/01/2099
Learning Outcomes: 2, 3, 4

Pen and paper exam

The details will be announced and discussed in class. The exam is administered by the Examination Office and the relevant rules apply (e.g. students who are late more than 30 minutes are not allowed to sit the exam). Students should consult the university examination policies for more details. 

Submission: Formal exam (students will need a nonprogrammable calculator)

Assessment Task 4

Value: 10 %
Due Date: 01/01/2099
Return of Assessment: 02/01/2099
Learning Outcomes: 1, 2, 3, 4

Quizzes (10 quizzes worth 1% each)

Wattle Quizzes. The details and the schedule of quizzes will be discussed in Lecture 1. Quizzes begin in Week 3. Each quiz will be available only for 7 days beginning at 8 am on Monday morning. It is essential to attempt each quiz as students who do not attempt their quizzes, when they are available, will not be able to access them later to revise for the exam. 

Submission: Quizzes will be accessed through Wattle.

Assessment Task 5

Value: 10 %
Due Date: 01/01/2099
Return of Assessment: 02/01/2099
Learning Outcomes: 1, 3, 5

Participation in labs and tutorials

Participation in labs and tutorials. Records will be kept. To receive participation credit students must ask or answer questions in class.

Submission: Participation is asking or answering questions.

Academic Integrity

Academic integrity is a core part of our culture as a community of scholars. At its heart, academic integrity is about behaving ethically. This means that all members of the community commit to honest and responsible scholarly practice and to upholding these values with respect and fairness. The Australian National University commits to embedding the values of academic integrity in our teaching and learning. We ensure that all members of our community understand how to engage in academic work in ways that are consistent with, and actively support academic integrity. The ANU expects staff and students to uphold high standards of academic integrity and act ethically and honestly, to ensure the quality and value of the qualification that you will graduate with. The University has policies and procedures in place to promote academic integrity and manage academic misconduct. Visit the following Academic honesty & plagiarism website for more information about academic integrity and what the ANU considers academic misconduct. The ANU offers a number of services to assist students with their assignments, examinations, and other learning activities. The Academic Skills and Learning Centre offers a number of workshops and seminars that you may find useful for your studies.

Online Submission

Students will be required to electronically sign a declaration as part of the submission of your assignment. Students should keep a copy of the assignment for their records. Assignments must be submitted through both Wattle links (Link 1 and Link 2) to be considered submitted. Submission through Turnitin only is insufficient. Normally, feedback files will be available outside of Turnitin (i.e. in Link 2).

Hardcopy Submission

For some forms of assessment (hand written assignments, art works, laboratory notes, etc.) hard copy submission is appropriate when approved by the Associate Dean (Education). Hard copy submissions must utilise the Assignment Cover Sheet. Please keep a copy of tasks completed for your records.

Late Submission

The course convenor assumes in this course that each student is entitled to one three-day extension either for Assignment 1 or 2. While students still must apply for an extension via Wattle, as mandated by the college, they will be granted their first request for a three-day extension. This is to allow students to deal with unexpected circumstances such as a change in work schedule or mild illness etc. The three-day extension cannot be split. The second extension will only be granted if students experience serious problems and provide suitable documentation. No extensions will be granted in retrospect even to students with Educational Access Plans.

Referencing Requirements

Accepted academic practice for referencing sources that you use in presentations can be found via the links on the Wattle site, under the file named “ANU and College Policies, Program Information, Student Support Services and Assessment”. Alternatively, you can seek help through the Students Learning Development website.

Returning Assignments

Feedback will be emailed or made available in Wattle. Students will be notified in class or by their ANU email about the feedback format, but normally feedback will be in files available in Link 2.

Extensions and Penalties

Extensions and late submission of assessment pieces are covered by the Student Assessment (Coursework) Policy and Procedure. The Course Convener may grant extensions for assessment pieces that are not examinations or take-home examinations. If you need an extension, you must request an extension in writing on or before the due date. If you have documented and appropriate medical evidence that demonstrates you were not able to request an extension on or before the due date, you may be able to request it after the due date.

Resubmission of Assignments

Students will not normally be able to resubmit their assignments.

Privacy Notice

The ANU has made a number of third party, online, databases available for students to use. Use of each online database is conditional on student end users first agreeing to the database licensor’s terms of service and/or privacy policy. Students should read these carefully. In some cases student end users will be required to register an account with the database licensor and submit personal information, including their: first name; last name; ANU email address; and other information.
In cases where student end users are asked to submit ‘content’ to a database, such as an assignment or short answers, the database licensor may only use the student’s ‘content’ in accordance with the terms of service – including any (copyright) licence the student grants to the database licensor. Any personal information or content a student submits may be stored by the licensor, potentially offshore, and will be used to process the database service in accordance with the licensors terms of service and/or privacy policy.
If any student chooses not to agree to the database licensor’s terms of service or privacy policy, the student will not be able to access and use the database. In these circumstances students should contact their lecturer to enquire about alternative arrangements that are available.

Distribution of grades policy

Academic Quality Assurance Committee monitors the performance of students, including attrition, further study and employment rates and grade distribution, and College reports on quality assurance processes for assessment activities, including alignment with national and international disciplinary and interdisciplinary standards, as well as qualification type learning outcomes.

Since first semester 1994, ANU uses a grading scale for all courses. This grading scale is used by all academic areas of the University.

Support for students

The University offers students support through several different services. You may contact the services listed below directly or seek advice from your Course Convener, Student Administrators, or your College and Course representatives (if applicable).

Dr Joanna Sikora

Research Interests


1.   Educational gender segregation, i.e. processes that enhance the concentration of men and women in different fields of study; with special interest in science

2.   Role of adolescent aspirations and expectations in adolescent and adult life outcomes

3.   Influence of heritability, parental background and scholarly culture in shaping educational and occupational pathways of youth and adults.

Broad interests involve social stratification and mobility, comparative survey sociology, educational inequalities, gender segregation in education, segregation in science education and sociology of education

Dr Joanna Sikora

Tuesday 18:15 19:15
Miguel Lattz

Research Interests

Miguel Lattz

Tita Tabije

Research Interests

Tita Tabije

Responsible Officer: Registrar, Student Administration / Page Contact: Website Administrator / Frequently Asked Questions