• Class Number 4389
  • Term Code 3330
  • Class Info
  • Unit Value 6 units
  • Mode of Delivery In Person
    • Dr Zahid Mumtaz
  • Class Dates
  • Class Start Date 20/02/2023
  • Class End Date 26/05/2023
  • Census Date 31/03/2023
  • Last Date to Enrol 27/02/2023
    • Anggra Cahyo
    • Dr Donny Pasaribu
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; design basic quantitative analysis;
  2. analyse 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; and
  5. formulate and answer ad hoc queries about statistical procedures and software.

Research-Led Teaching

Students in this course 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. Then, they will propose a research project on which they will receive feedback and guidance. As the last step, students will complete data analyses and write a report.

Additional Course Costs

It is recommended that students purchase a 6-month licence for Stata 17, Flavour Stata/BE available from https://www.surveydesign.com.au/stata/buy.html

However, students can access Stata software in all Information Commons areas on campus which involves no additional cost. If University provides an option for accessing Stata off-campus, the information about this option will be provided at the beginning of the semester.

Examination Material or equipment

This course does not involve a formal exam. However, students will complete 5 quizzes, each within given a 7 day-time window. Once closed, the quizzes will not be opened, so students who do not wish to forego quiz credit are advised to set up reminders not to forget about quizzes.

Required Resources

To participate, students will need a personal computer with Microsoft Office and Stata 17 or an earlier version of the Stata software. Students might need an operational webcam and a reliable Internet connection to partake in online classes, if such classes are offered, to stream course videos and use the Wattle site. Students should organise a backup connection (e.g. learn how to tether their computer to their mobile phone and use the latter as a Wi-Fi hotspot).

 All required readings for this course have been written by the course convenor and are in Wattle. All recommended readings are also listed in Wattle.

This course is supported by a selection of readings available in Wattle to extend and consolidate students’ knowledge. Moreover, students might find it useful to have some Stata data analysis manual and some textbook on survey research on hand to read them regularly. The books below are somewhat dated but close to the essentials that will be covered. Students can use any textbook they like, to help them raise questions and deepen their understanding of the subject matter.

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). Feedback can also be provided to Course Conveners and teachers via the Student Experience of Learning & Teaching (SELT) feedback program. SELT surveys are confidential and also provide the Colleges and ANU Executive with opportunities to recognise excellent teaching, and opportunities for improvement.

Other Information

Students with Educational Access Plans

Students who have been issued with an Educational Access Plan by Access and Inclusion Services, are requested to email a copy to the course convener and their tutor as soon as they receive it. In all relevant communication, students are asked to remind their instructors about their EAP. Please include a copy of the EAP in each request for an extension made via Wattle. Students with EAPs do not have extensions by default on all their quizzes or assignments, even when their EAP explicitly mentions quizzes. It is best to make a time to discuss each EAP to avoid misunderstandings.

Missed class policy

Students who have a medical certificate to excuse their absence from a workshop, tutorial or lab, and wish to make up participation credit need to email their certificate to the course convenor along with evidence of completed tutorial or lab activities. Students whose circumstances prevent them from timely completion of course activities can apply for extensions, but these will be granted on a case-to-case basis.

Keeping track of marks and avoiding submission mishaps

Students will see their marks as they appear in their Wattle grade book. They are requested to check their record and notify the course convenor within two weeks about any errors. It is the students’ responsibility to retain a copy of their submitted work, which must be presented in any dispute with the instructors. This means that students must back up not only data analyses report but their data files and programming files (i.e. files with data analysis commands/do files/syntax files). Occasionally a submitted file is corrupt and cannot be opened. It is the students’ responsibility to carefully check that their submission opens correctly on a PC before submitting. 

Support for students

The University offers many support services for students. Information on these is available online from http://students.anu.edu.au/studentlife/


International and culturally diverse students

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

 The course convenor will be happy to see if students can be provided with a survey dataset that originates from a country other than Australia if students prefer to complete their Assignments 1 and 2 using such a dataset. This request must be made by Week 3.



Referencing requirements

The preferred referencing style for this course is the American Psychological Association (APA) referencing style. Instructors recommend students use software called Endnote to format their references. Any style like the APA style is acceptable, but it must be used consistently. Only sources read in full ought to be used as references.

Mode of Work

1.    In this course, students must complete the required readings before class. Some readings include preparatory activities which students need to complete before class. In class, instructors will go over these activities to help with any difficulties and answer questions.

2.    Students will allow sufficient time to prepare for classes and to revise after classes. The course has a cumulative structure. To understand later material, students need to master earlier material.

3.    Macs are not recommended for this course. Many students use them, and there have been no problems with Stata although the course notes in Word for Windows might not display correctly. The instructors cannot assist with any difficulties related to PC/Mac compatibility as they have no access to Macs and do not test course materials on Macs. One issue instructors are aware of is that Macs do not correctly display images in the Word documents used as readings for this course. If students end up using Macs, they need to resolve any potential difficulties by saving Word documents as pdfs on a PC before transferring them to their Mac etc.

4.    Instructors can accommodate a limited number of students per tutorial. More information will be provided in Wattle. Students are requested to carefully read this information before choosing their tutorial group.



Instructors will be happy to offer individual consultations to discuss, clarify or expand on any issues in the course organisation, delivery or material. However, instructors usually cannot help students who missed classes and have not worked through the class materials before asking for a consultation. Instructors cannot give students any real help a couple of days before an assignment is due, so please schedule a meeting at least a week in advance of the assignment due date. Instructors will not provide comments on assignment drafts and are usually unable to deal with Stata programming problems unless they can see what students are doing on their screen or receive their complete do file. Following the return of Assignment 1 all email queries about Assignment 2 should have in an attachment a copy of the full assignment do file which identifies the dataset. 

 Basic notation and formulas used in this course are in Wattle in a pdf version of this class summary.

Class Schedule

Week/Session Summary of Activities Assessment
1 Lecture 1 duration 2 hours: Introduction, Course goals, Theory, Research questions and Hypothesis Tutorial 1: How to write a quantitative research paper?
2 Lecture 2 duration 2 hours: Concepts, Measurement, linking theory and observables to build questionnaires Tutorial 2: Stata lab: Data entry and frequencies
3 Lecture 3 duration 2 hours: Causal Inference, Descriptive statistics, levels of measurement and data for quantitative research Tutorial 3: Stata lab: More on frequencies. Descriptives. Transforming variables. Assessment: Quiz 1
4 Lecture 4 duration 1 hour Probability and sampling, The normal distribution & z-scores Workshop 1 duration 1 hour: Designing surveys and questionnaires Tutorial 4: Random sampling and the Central Limit Theorem
5 Lecture 5 duration 2 hour Validity and reliability in measurement, using a standard normal table, crosstabulations and chi-square statistics Tutorial 5: Stata lab: Transforming variables Assessment: Assignment 1
6 Lecture 6 duration 1 hour: Crosstabulations and computing chi-square statistics for crosstabulations Workshop 2 duration 1 hour: How to use crosstabulations in reports and publications Tutorial 6. Stata lab: How to generate crosstabs and report chi-square tests. Assessment: Quiz 2
7 Lecture 7 duration 2 hour: Hypotheses testing, Means and proportions Tutorial 7: Hypothesis tests: one-sided and two-sided tests for means and proportions Assessment: Quiz 3
8 Workshop 3 duration 1 hour: Statistical inference in publications Tutorial 8: Stata lab: Hypotheses about means and proportions Assessment: Question Forum
9 Lecture 8 duration 1 hour: Correlations: conceptual underpinnings, Ordinary Least Squares Regression: foundations Tutorial 9: Stata lab: How to produce correlations Assessment: Quiz 4
10 Lecture 9 duration 2 hour: Ordinary Least Squares Regression: modelling assumptions, Multivariate Ordinary Least Squares Regression: conceptual issues Tutorial 10: How to report correlations and regressions
11 Lecture 10 duration 1 hour: Predicted values in OLS Workshop 4 duration 1 hour: Multivariate Ordinary Least Squares regressions in publications Tutorial 11: Stata lab: How to create Ordinary Least Squares (OLS) regressions Assessment: Quiz 5
12 Lecture 11 duration 2 hour: Literature review, ethical considerations in quantitative research, the future research frontier and wrap up Tutorial 12: Stata lab: How to apply predicted values from OLS models to answer research questions, ethics in research

Tutorial Registration

Each student must enrol into one Tutorial group through My Timetable.

Assessment Summary

Assessment task Value Due Date Learning Outcomes
Assignment 1: Data analysis proposal 10 % 27/03/2023 1
Assignment 2: Data analysis report (based on cross-tabulations or other methods taught in SOCY2038) 40 % 30/05/2023 1, 2, 3, 4
Five quizzes (4 * 5% each + 1 * 10%) 30 % * 1,2, 3, 4
Participation 20 % * 2, 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 Integrity 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 Academic Skills website. In rare cases where online submission using Turnitin software is not technically possible; or where not using Turnitin software has been justified by the Course Convener and approved by the Associate Dean (Education) on the basis of the teaching model being employed; students shall submit assessment online via ‘Wattle’ outside of Turnitin, or failing that in hard copy, or through a combination of submission methods as approved by the Associate Dean (Education). The submission method is detailed below.

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 participate in any on-campus or live online classes cannot meet Learning Outcome 5. Thus they cannot pass the course.



This is not a formal exam for the course.

Assessment Task 1

Value: 10 %
Due Date: 27/03/2023
Learning Outcomes: 1

Assignment 1: Data analysis proposal

Assignment 1: Analysis proposal

Details: A separate document with Assignment 1 guidelines and assessment criteria will be available in Wattle. Please note that all guidelines are provided on the assumption that students know the course syllabus and the relevant lectures, tutorial and lab notes. Assignment 1 requires no references.

Word limit: 800 with 10% leeway

Credit value: 10%

Submission requirements: 1) In Wattle Assignment 1 Data Analysis by 11.55 pm

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

Feedback: Assessment rubric sheets (highlighted boxes) will be uploaded to Wattle. Additional written feedback will be uploaded to Wattle. 


FailPassCreditDistinctionHigh distinction

Research question and fit with chosen data

No clear research question or serious problems with the choice of variables/data; the assignment does not follow the guidelines

Neither the research question nor the chosen variables are optimal but the intentions of the author can be inferred 

Either the research question all the variables chosen need minor adjustments; the research questions appropriate

Interesting research question; clearly stated and well motivated; matches well the chosen variables

Original research question which is very clearly stated and strongly motivated; fits the chosen variables extremely well

Conceptual diagram with Stata variable names

No diagram or incorrect diagram

The diagram does not fully represent the logic of analysis

Good presentation of the diagram: some adjustment needed

Very good presentation of the diagram: mostly accurate and clear

Excellent presentation of the diagram: accurate and clear

Tables of descriptive statistics

No table of descriptors or incorrect data in the table

Table presentation needs major adjustments: levels of measurement; labeling; missing data; or decimal rounding

Table presentation needs minor adjustments: labelling missing data or decimal rounding

Table presentation shows good grasp of all concepts discussed in the course, including levels of measurement

Table presentation shows mastery of all concepts discussed in the course

Logical description of dependent and independent variables. Logical hypotheses

Now description of variable measurement, missing survey item wording. Hypotheses not listed or illogical.

Insufficient description of variable measurement, including, survey item wording without redundant elements. Hypotheses need major adjustments.

Good description of variable measurement, including survey item wording without redundant elements. Hypotheses need minor adjustments.

Very good description of variable measurement, including, survey item wording without redundant elements. Mostly logical and complete hypotheses.

Thorough description of variable measurement, including, survey item wording without redundant elements. Thorough and logical hypotheses.

Presentation: title, expression, structure, grammar, punctuation, pagination

For adherence to scholarly conventions

Written with limited adherence to scholarly conventions

Written according to scholarly conventions, but needs improvement in terms of expression and structure

Clearly written according to scholarly conventions

Very well written according to scholarly conventions

Assessment Task 2

Value: 40 %
Due Date: 30/05/2023
Learning Outcomes: 1, 2, 3, 4

Assignment 2: Data analysis report (based on cross-tabulations or other methods taught in SOCY2038)

Assignment 2: Analysis report (based on cross-tabulations or other methods taught in SOCY2038

Details: A separate document with Assignment 2 guidelines and assessment criteria will be available in Wattle. Please note that all guidelines are provided on the assumption that students know the relevant course content.

Word limit (and other requirements): 2200 words with 10% leeway. Students will have to submit their Stata do-file (in a separate text or a .do file). The Stata do-files, references and appendices do not count towards the word limit. Everything else, including tables and figures, does.

Credit value: 40%

Submission requirements: 1) In Wattle Assignment 2 Data Analysis Report by 11.55 pm.

Note that the Stata do-file must be submitted as text (a pdf is not acceptable). The instructor must be able to copy the do-file into Stata and execute it. Non-executable do-files and papers based on materials and methods not taught in SOCY2038, will not receive credit.

Assignments submitted on time will be returned approximately two weeks later if the staff-to-students ratio does not exceed 1:40.

Feedback: Assessment rubric sheets (highlighted boxes) will be uploaded to Wattle. Additional oral feedback will be provided by appointment if requested.

Assessment Task 3

Value: 30 %
Learning Outcomes: 1,2, 3, 4

Five quizzes (4 * 5% each + 1 * 10%)

Wattle Quizzes. The details and the schedule of quizzes will be discussed in Lecture 1. Each quiz will be available for 7 days beginning at 8 am on Tuesday morning. Once closed, the quizzes will not be reopened, so students who do not wish to forego quiz credit are advised to set up reminders not to miss quizzes.

Submission: Quizzes are in Wattle.

Assessment Task 4

Value: 20 %
Learning Outcomes: 2, 3, 5


Class participation accounts for 20% of your overall grade—class participation (16%) + Question forum participation (4%).

The course offers the following participation activities: 4 workshops, 12 tutorials (PC Labs) and 01 question forum on Wattle.

Students who partake in 3 workshops (3*2%), 10 tutorials (10*1%), and one question forum (1*4%) will earn the maximum participation credit (20%). This provision allows the students to miss two tutorials and one workshop without any impact on their participation credit.

Depending on whether tutorials and workshops are on campus or online, there might be two modes of earning tutorial and workshop participation credit:

1) If classes are on campus: on-campus students will complete activities in class – students must prepare for these classes as per weekly instructions in Wattle. It is the student responsibility to remember to sign the roll in class.

2) If classes are online: off-campus students must prepare for online classes, complete activities either during online class time or in their own time and upload class activities as per weekly instructions available in Wattle. The online students need to submit reading responses for participation grades in workshops.

Academic Integrity

Academic integrity is a core part of the ANU culture as a community of scholars. The University’s students are an integral part of that community. The academic integrity principle commits all students to engage in academic work in ways that are consistent with, and actively support, academic integrity, and to uphold this commitment by behaving honestly, responsibly and ethically, and with respect and fairness, in scholarly practice.

The University expects all staff and students to be familiar with the academic integrity principle, the Academic Integrity Rule 2021, the Policy: Student Academic Integrity and Procedure: Student Academic Integrity, and to uphold high standards of academic integrity to ensure the quality and value of our qualifications.

The Academic Integrity Rule 2021 is a legal document that the University uses to promote academic integrity, and manage breaches of the academic integrity principle. The Policy and Procedure support the Rule by outlining overarching principles, responsibilities and processes. The Academic Integrity Rule 2021 commences on 1 December 2021 and applies to courses commencing on or after that date, as well as to research conduct occurring on or after that date. Prior to this, the Academic Misconduct Rule 2015 applies.


The University commits to assisting all students to understand how to engage in academic work in ways that are consistent with, and actively support academic integrity. All coursework students must complete the online Academic Integrity Module (Epigeum), and Higher Degree Research (HDR) students are required to complete research integrity training. The Academic Integrity website provides information about services available to assist students with their assignments, examinations and other learning activities, as well as understanding and upholding academic integrity.

Online Submission

Students should keep a copy of the assignment for their records. Assignments must be submitted through Wattle. Students will be advised in lectures or via the Wattle Course Noticeboard on how to access their assignment feedback.

Hardcopy Submission

There is are not hardcopy submissions in this unit.

Late Submission

The course convenor assumes that each student has one three-day extension either for Assignment 1 or 2. Students must apply for an extension via Wattle and they will be granted their first three-day extension without any documentation. This provision allows for dealing with unexpected circumstances such as a change in work schedule, brief illness, failure of the Internet connection etc. The extension will not be split. The second extension will only be given in case of severe adversities or health problems. Should they occur, documentation will be required. No retrospective extensions will be given. Problems with access to the Internet or Stata will generally not suffice as grounds for an extension, so students must ensure they have a backup Internet connection and a backup plan for accessing Stata if their usual mode of access fails.

For all late submissions, the ANU late submission policy (available at https://cass.anu.edu.au/current-students/coursework-policy-and-guidelines/late-submissions-and-extensions ) will apply. If your assignment is late, with or without an extension, your feedback will be late.

Referencing Requirements

The Academic Skills website has information to assist you with your writing and assessments. The website includes information about Academic Integrity including referencing requirements for different disciplines. There is also information on Plagiarism and different ways to use source material.

Returning Assignments

Feedback will be available in Wattle. Students will be notified in the lectures or through the Wattle Course Noticeboard about the availability of feedback and how to access it.

Extensions and Penalties

Extensions and late submission of assessment pieces are covered by the Student Assessment (Coursework) Policy and Procedure. Extensions may be granted 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 Zahid Mumtaz

Research Interests

Public policy analysis, social policy analysis, big data, classical and quantum machine learning, formal and informal social protection analysis

Dr Zahid Mumtaz

By Appointment
Anggra Cahyo

Research Interests

Anggra Cahyo

By Appointment
Dr Donny Pasaribu

Research Interests

Dr Donny Pasaribu

By Appointment

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