• Class Number 6534
  • Term Code 2950
  • Class Info
  • Unit Value 6 units
  • Mode of Delivery In Person
  • COURSE CONVENER
    • Karuna Reddy
  • LECTURER
    • Karuna Reddy
  • Class Dates
  • Class Start Date 05/08/2019
  • Class End Date 04/10/2019
  • Census Date 23/08/2019
  • Last Date to Enrol 09/08/2019
SELT Survey Results

This course will provide students with a detailed understanding of the main techniques for the collection of social science data that is relevant to policy, business and service delivery decisions. Students will be well placed to design and undertaken their own research and to commission others to undertake design, fieldwork and analysis.

Content will cover quantitative surveys (questionnaire design, fieldwork techniques (CATI, online, f2f), cognitive testing) and qualitative methods (in-depth interviews, focus groups, observational techniques), sampling, weighting and assessing representativeness of data, total survey error, creation of data sets for analysis using administrative data, cross-sectional versus longitudinal data.

Learning Outcomes

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

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

1. Identify testable research questions applicable to the social sciences.
2. Discuss in detail the strengths and weaknesses of different types of data.
3. Design a rigorous quantitative empirical strategy.
4. Design a rigorous qualitative empirical strategy.
5. Adjust survey, qualitative and administrative data for analysis by others.
 

Research-Led Teaching

This course will provide students with a detailed understanding of the main techniques for the collection of social science data that is relevant to policy, business and service delivery decisions. Students will be well placed to design and undertaken their own research and to commission others to undertake design, fieldwork, and analysis. Content will cover quantitative surveys (questionnaire design, fieldwork techniques (CATI, online, f2f), cognitive testing) and qualitative methods (in-depth interviews, focus groups, observational techniques), sampling, weighting and assessing representativeness of data, total survey error, creation of data sets for analysis using administrative data, cross-sectional versus longitudinal data.

Access to the ANU Wattle learning management system is required for this unit. All relevant resources will be provided in class or through the Wattle page for this course.

Staff Feedback

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

  • written comments
  • verbal comments
  • feedback to whole class, groups, individuals, focus group etc

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.

Class Schedule

Week/Session Summary of Activities Assessment
1 Introduction to the course; introduction to social research
2 Planning a research project and formulating research questions
3 The nature of quantitative research; introduction to survey methodology; total survey error framework
4 Introduction to sampling designs Assignment 1 (due date: 29/8/2019)
5 Monday (Intensive week): Survey sampling designs in quantitative research
6 Tuesday (Intensive week): Methods of data collection; different types of data (including administrative data); structured interviewing and self-administered questionnaires
7 Wednesday (Intensive week): Nature of qualitative research; sampling in qualitative research (interviews, focus groups, observational techniques)
8 Thursday (Intensive week): Questionnaire design, fieldwork techniques (CATI, online, f2f), cognitive testing
9 Friday (Intensive week): Weighting and assessing the representativeness of data in surveys; nonresponse in surveys; creation of data sets
10 Course review Assignment 2 (13/9/2019)
11 Course review
12 Course review
13 Course review Assignment 3 (due date: 27/9/2019)

Tutorial Registration

Required depending on the class enrolment number

Assessment Summary

Assessment task Value Due Date Return of assessment Learning Outcomes
Class participation 5 % 04/10/2019 04/10/2019 1, 2, 3, 4, 5
Assignment 1 15 % 29/08/2019 12/09/2019 1, 2
Assignment 2 30 % 13/09/2019 27/09/2019 2, 3
Assignment 3 20 % 27/09/2019 04/10/2019 1, 2, 3, 4, 5
Class test 30 % 04/10/2019 10/11/2019 1, 2, 3, 4, 5

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

Policies

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. 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.

Assessment Task 1

Value: 5 %
Due Date: 04/10/2019
Return of Assessment: 04/10/2019
Learning Outcomes: 1, 2, 3, 4, 5

Class participation

This will continue throughout the course and contributes 5% towards the final grade. Students will be given allocated marks depending on their level of engagement through Wattle forums and group discussions. Participation in the on-campus intensive classes will also be looked at.

Assessment Task 2

Value: 15 %
Due Date: 29/08/2019
Return of Assessment: 12/09/2019
Learning Outcomes: 1, 2

Assignment 1

This will be a written submission worth 15% and involves lessons from the first four weeks. Students would be required to develop and test a survey instrument for a social research project of their choice. More details regarding the assignment will be provided through Wattle.

Assessment Task 3

Value: 30 %
Due Date: 13/09/2019
Return of Assessment: 27/09/2019
Learning Outcomes: 2, 3

Assignment 2

This will be a written submission worth 30% and involves lessons from the first four weeks and the classes during the intensive week. Students are expected to choose an interesting topic, write down a background and literature review and develop an empirical strategy for a qualitative, quantitative or mixed methods data collection based on the nature of research questions to be investigated. More details regarding the assignment will be provided through Wattle.

Assessment Task 4

Value: 20 %
Due Date: 27/09/2019
Return of Assessment: 04/10/2019
Learning Outcomes: 1, 2, 3, 4, 5

Assignment 3

This assignment contributes 20% towards the final grade and will be due in the final week of the semester. It involves a pre-recorded seminar presentation on one of the topics given by the instructor. More details regarding the assignment will be provided through Wattle.

Assessment Task 5

Value: 30 %
Due Date: 04/10/2019
Return of Assessment: 10/11/2019
Learning Outcomes: 1, 2, 3, 4, 5

Class test

This written test will be 2 hours long and contributes 30% towards the final grade. The test involves all the class lessons and reading materials throughout the semester. As the date nears, a more refined set of hints on the exam would be released on Wattle.

Academic Integrity

Academic integrity is a core part of the ANU culture as a community of scholars. At its heart, academic integrity is about behaving ethically, committing to honest and responsible scholarly practice and upholding these values with respect and fairness.


The ANU commits to assisting all members of our community to 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 be familiar with the academic integrity principle and Academic Misconduct Rule, 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 Academic Misconduct Rule is in place to promote academic integrity and manage academic misconduct. Very minor breaches of the academic integrity principle may result in a reduction of marks of up to 10% of the total marks available for the assessment. The ANU offers a number of online and in person services to assist students with their assignments, examinations, and other learning activities. Visit the Academic Skills website for more information about academic integrity, your responsibilities and for assistance with your assignments, writing skills and study.

Online Submission

You will be required to electronically sign a declaration as part of the submission of your assignment. Please keep a copy of the assignment for your records. Unless an exemption has been approved by the Associate Dean (Education) submission must be through Turnitin.

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

Individual assessment tasks may or may not allow for late submission. Policy regarding late submission is detailed below:

  • Late submission not permitted. If submission of assessment tasks without an extension after the due date is not permitted, a mark of 0 will be awarded.
  • Late submission permitted. Late submission of assessment tasks without an extension are penalised at the rate of 5% of the possible marks available per working day or part thereof. Late submission of assessment tasks is not accepted after 10 working days after the due date, or on or after the date specified in the course outline for the return of the assessment item. Late submission is not accepted for take-home examinations.

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

Assignments will be returned electronically via the Wattle system or presented in class.

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

Resubmission of assignments is not allowed in this course.

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).

Karuna Reddy
02 6125 7407
u1061769@anu.edu.au

Research Interests


Sampling theory; optimum stratification of populations; sample allocations in various sampling methods; data mining; statistical data analysis of samples and surveys; R package development

Karuna Reddy

Thursday 15:00 16:00
Thursday 15:00 16:00
Karuna Reddy
02 6125 7407
karuna.reddy@anu.edu.au

Research Interests


Karuna Reddy

Thursday 15:00 16:00
Thursday 15:00 16:00

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