Contemporary Political Analysis provides students with a continuation of the principles of social science research design and empirical analysis that they were exposed to in their first year courses. The course begins with a review of the role of research design, method and methodology in the social sciences that draws on examples from both qualitative and quantitative political science and international relations. This discussion is complemented with an introduction to applied data analytics using a statistical software package. The skills, ways of thinking and techniques learned in this course will provide the necessary foundation for the more advanced application of social science research methodology used in the public and private sectors as well as the honours and graduate levels of study.

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. explain the complexity of contemporary politics from the perspective of solid research design and empirical analysis;
2. apply a range of methodological approaches by which to analyse such issues;
3. generate, explain, and visualise descriptive statistics and basic inferential statistics for political phenomena using a statistical software package; and
4. apply conceptual and analytical tools to a political phenomenon at a higher level of study or in a professional working environment.

Required Resources

Paul Kellstedt and Guy Whitten. 2018. The Fundamentals of Political Science Research. Second edition. Cambridge University Press.

Recommended Resources

• Kyle Longest. 2015. Using Stata for Quantitative Methods, Second edition, Sage.
• David M. Diez, Christopher D. Barr, and Mine Çetinkaya-Rundel. 2012. Open Statistics, Second edition. Online free copy available at https://www.openintro.org/stat/textbook.php
• Stata Youtube Channel

Staff Feedback

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

• Detailed comments on their assignment
• Shorter written feedback will be provided for the quizzes in the form of a marking keys (correct answers)
• Final exams are not returned to students
• Students will also have the opportunity to discuss their assignments during tutorials
• Students are welcome to discuss any assignments with the Convenors or Tutor during office hours

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

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	Introduction
2	Selecting a research problem and building a theory
3	Causality and research design
4	Data, variables, and measurements	Assignment 1 due on 13/08
5	Descriptive statistics
6	Inference 1	Assignment 2 due on 27/08
7	Inference 2
8	Basic linear regression	Assignment 3 due on 24/09
9	Multiple regression 1
10	Multiple regression 2	Assignment 4 due on 8/10
11	Multiple regression 3
12	Wrap up and exam review	Assignment 5 due on 22/10

Assessment Summary

Assessment task	Value	Due Date	Return of assessment	Learning Outcomes
Assignment 1	10 %	13/08/2019	20/08/2019	2, 3
Assignment 2	10 %	27/08/2019	03/09/2019	2, 3
Assignment 3	10 %	24/09/2019	01/10/2019	2, 3
Assignment 4	10 %	08/10/2019	15/10/2019	2, 3
Assignment 5	10 %	22/10/2019	29/10/2019	2, 3
Quizzes	10 %	01/01/9999	01/01/9999	2, 3
Examination	40 %	01/01/9999	01/01/9999	1, 2, 3, 4

* 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:

• Student Assessment (Coursework) Policy and Procedure
• Special Assessment Consideration Policy and General Information 
• Student Surveys and Evaluations
• Deferred Examinations
• Student Complaint Resolution Policy and Procedure

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.

Examination(s)

The course includes a final exam that will be written during the exam period. It will test students’ knowledge and understanding of the course and will include data analysis.

Assessment Task 1

Assignment 1

Exercise in construction of hypothesis and brief analysis of empirical article as well as basic Stata usage. 

Assessment Rubrics

Value: 10%

Presentation requirements: Submitted via Turnitin

Estimated return date: 20 August

Rubric

Assessment Task 2

Assignment 2

Exercise on conducting and visualizing descriptive statistics using Stata. 

Assessment Rubrics

Value: 10%

Presentation requirements: Submitted via Turnitin

Estimated return date: 3 September

Assessment Task 3

Assignment 3

Students will complete a short exercise in which they demonstrate their understanding of the normal probability distribution, point estimates and confidence intervals using Stata.

Assessment Rubrics

Value: 10%

Presentation requirements: Submitted via Turnitin

Estimated return date: 1 October

Assessment Task 4

Assignment 4

Students will complete a short exercise, which demonstrates their ability to conduct and interpret ttests and chi-square tests using Stata.

Assessment Rubrics

Value: 10%

Presentation requirements: Submitted via Turnitin

Estimated return date: 15 October 

Assessment Task 5

Assignment 5

Students will complete an exercise in which they demonstrate their knowledge of correlation, bivariate regression and basic multiple regression using Stata. This exercise will involve both interpretation and visualization.

Assessment Rubrics

Value: 10%

Presentation requirements: Submitted via Turnitin

Estimated return date: 29 October 

Assessment Task 6

Quizzes

During the semester, for 10 weeks, a quiz will have to be completed before class. The quiz will test students’ knowledge of the week’s readings and past course materials. Students will have 24 hours to complete the task. Each quiz is worth 1% of the final grade for a total of 10% and will be made available on the course Wattle site.

Assessment Rubrics

Value: 10%

Presentation requirements: Submitted via Wattle quiz

Assessment Task 7

Examination

The course includes a final exam that will be written during the exam period. It will test students’ knowledge and understanding of the course and will include data analysis.

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

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) as 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

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 via Wattle. The final exam will not be returned. 

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

Assignments may not be resubmitted. 

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).

• ANU Health, safety & wellbeing for medical services, counselling, mental health and spiritual support
• ANU Diversity 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