- Class Number 3549
- Term Code 3240
- Class Info
- Unit Value 3 units
- Mode of Delivery In Person
- Dr Ibi Losoncz
- Dr Ibi Losoncz
- Class Dates
- Class Start Date 02/05/2022
- Class End Date 17/06/2022
- Census Date 13/05/2022
- Last Date to Enrol 13/05/2022
This course is an introduction to quantitative data analysis for policy and regulation. Designed to provide a foundational overview of empirical research design and to learn elementary techniques of data analysis, the course provides participants with the skills, knowledge, and confidence to commission and utilise empirical research. The course also provides an overview of a broad range of statistical techniques and their applications to answer different types of research questions.
Each session will conclude with an in-class activity. These activities are designed to reinforce the course content and to give participants an opportunity to apply their new knowledge to their own research interests and engage in a peer review.
Upon successful completion, students will have the knowledge and skills to:
- Formulate a quantitative research question and identify an appropriate research design to examine the question.
- Understand several types of research designs for causal inference in social sciences.
- Undertake critical evaluation of methodological issues and problems in exiting quantitative research.
- Develop and present a draft research proposal for a topic of their interest.
Course readings will be provided on Wattle.
Whether you are on campus or studying remotely, there are a variety of online platforms you will use to participate in your study program. These could include videos for lectures and other instruction, two-way video conferencing for interactive learning, email and other messaging tools for communication, interactive web apps for formative and collaborative activities, print and/or photo/scan for handwritten work and drawings, and home-based assessment.
ANU outlines recommended student system requirements to ensure you are able to participate fully in your learning. Other information is also available about the various Learning Platforms you may use.
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
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.
|Week/Session||Summary of Activities||Assessment|
|1||Quantitative research design and measurement (3 May 2022)||This session considers the foundation of quantitative research and its implication for research designs and standards. We learn how to pose a focused quantitative research question and explore the principles of causal thinking. We cover how to turn your research question into practical components that can be measured in some way.|
|2||Descriptive Statistics (10 May 2022)||This session covers elementary terms and techniques of data analysis. Using examples from a range of publications we discuss different types of data and what they mean for analysis. You will be given a non-technical introduction in the use of relational and summary measures.|
|3||Analysis of relationship using numerical data (17 May 2022)||This session introduces correlation and regression analysis, and modeling relationships between more than two variables.|
|4||Analysis of relationship using categorical data, and an overview of most commonly used statistical procedures (24 May 2022)||The first part of this session covers contingency tables, aka crosstabs, and their use in analysing and reporting interrelation between categorical variables. The second part of this session gives a brief overview of commonly used statistical techniques not covered in this course, such as, ANOVA; logistic regression; principal component and factor analysis; cluster analysis; SEM; survival and time-series analysis; and network analysis. The aim of this introduction is to identify which statistical procedure is appropriate to particular research questions.|
|Assessment task||Value||Due Date||Learning Outcomes|
|Active participation in class||10 %||*||1,2,3|
|750 words precis on selected reading and a 10 minute in-class presentation followed by a Q&A.||20 %||*||2,3|
|Three (3) short evaluation exercises through the course, designed to assess and assist understanding of course content.||30 %||*||1,2,3,|
|Develop a quantitative research design to answer a regulatory question (1,500 words maximum)||40 %||17/06/2022||1,2,3,4|
* 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:
- Academic Integrity Policy and Procedure
- Student Assessment (Coursework) Policy and Procedure
- Special Assessment Consideration Guideline and General Information
- Student Surveys and Evaluations
- Deferred Examinations
- Student Complaint Resolution Policy and Procedure
- Code of practice for teaching and learning
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.
Assessment Task 1
Learning Outcomes: 1,2,3
Active participation in class
These are based on class and group discussions and participation in small exercises.
Assessment Task 2
Learning Outcomes: 2,3
750 words precis on selected reading and a 10 minute in-class presentation followed by a Q&A.
This assessment is one 10 minute in-class presentation based on one of the readings (under Additional readings), or a relevant reading approved by the lecturer. The topic will be delegated at the commencement of the course. A 750 word precis should accompany your presentation. This should be submitted online in the Assessment tab the day before the class you are presenting (before midnight).
Assessment Task 3
Learning Outcomes: 1,2,3,
Three (3) short evaluation exercises through the course, designed to assess and assist understanding of course content.
These short exercises (1 to 2 pages) will be provided on Wattle and will be assigned on teaching days 1, 2, and 3. These should be submitted online in the Assessment tab within two days after they were assigned.
Assessment Task 4
Learning Outcomes: 1,2,3,4
Develop a quantitative research design to answer a regulatory question (1,500 words maximum)
Submit a 1500 word quantitative research design to answer a regulatory question of your choice. You are encouraged to work with the same research question for your assessments 3 and 4 and progressively develop and seek peer review on your research design—presented in this final assessment.This task is a culmination of the in-class activities and an opportunity to apply your new skills and knowledge to your own research interest. This final assessment due on 17 June (before midnight) and should be submitted online in the Assessment tab.
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.
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.
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.
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.
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.
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.
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).
- ANU Health, safety & wellbeing for medical services, counselling, mental health and spiritual support
- ANU Access and inclusion for students with a disability or ongoing or chronic illness
- ANU Dean of Students for confidential, impartial advice and help to resolve problems between students and the academic or administrative areas of the University
- ANU Academic Skills and Learning Centre supports you make your own decisions about how you learn and manage your workload.
- ANU Counselling Centre promotes, supports and enhances mental health and wellbeing within the University student community.
- ANUSA supports and represents undergraduate and ANU College students
- PARSA supports and represents postgraduate and research students
Research design and methods, institutional disrespect
Dr Ibi Losoncz