- Class Number 4848
- Term Code 2930
- Class Info
- Unit Value 6 units
- Mode of Delivery In Person
- Prof Israr Qureshi
- Prof Israr Qureshi
- 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
The overarching goal of this course is to expose honours, MPhil and PhD students to a variety of empirical methods and data analytic tools to enable them to undertake high quality management research. This includes developing and validating survey measures, understanding and applying basic experimental methodologies, analyzing, interpreting, and writing-up quantitative data. It will also provide students a solid grounding in the use statistical software packages such as SPSS and AMOS as well as key issues and principles involving the linkage between theory and measurement. In sum, the course covers the designs and analyses that are commonly used in marketing, organizational behavior, human resource management and industrial/organizational psychology disciplines. It will emphasise appropriate data collection procedures, data analysis tools and communicating findings effectively, with the course taking the perspective of a management or behavioural researcher.
Upon successful completion, students will have the knowledge and skills to:
- Identify the circumstances that call for advanced quantitative research methods
- Discuss the formulation of the research question to be investigated
- Formalise hypotheses that are in line with the research question
- Use the appropriate method of research to collect data relevant to the hypotheses
- Critically evaluate the analytical strengths and limitations of the different empirical research methods
- Develop appropriate analytical strategies to test the specific hypothesis
- Use relevant software tools to implement hypothesis testing
- Critically interpret and discuss results of analyses through appropriate engagement with extant knowledge and theories
- Synthesise findings, their meanings and subsequent recommendations competently in a structured written report
This course focuses on helping HDR students learn how to conduct research. In this effort, students will be exposed to academic standards in empirical research methods, will be involved in discussing the methods used in actual academic studies and in the application of these methods in their research.
No field trips
Additional Course Costs
No additional class costs
Examination Material or equipment
There are no formal examination for this course
Mplus or SPSS Amos software
Free, trial, or fully licensed versions will be provided - students will not need to pay if use is related to their course studies.
Please refer to Wattle site for further details.
Staff FeedbackStudents will be given feedback in the following forms in this course:
- Written comments
- Verbal comments
- Feedback to the whole class, to groups, to individuals, focus groups
Student FeedbackANU 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.
|Week/Session||Summary of Activities||Assessment|
|1||Week 1 - March 31 (Sunday) - Descriptive statistics, the measures of central tendencies, the basic understanding of various distributional properties||Assigned Readings Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics. Allyn & Bacon/Pearson Education. Field, A. (2018). Discovering statistics using IBM SPSS statistics. Sage.|
|2||Week 2 - April 7 (Sunday) - Various estimators, various t-tests, ANOVA, ANCOVA, MANOVA||Assigned Readings Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics. Allyn & Bacon/Pearson Education. Field, A. (2018). Discovering statistics using IBM SPSS statistics. Sage.|
|3||Week 3 - April 27 (Saturday) - Simple regression/ multiple regression/ interaction effects||Assigned Readings Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2003). Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences|
|4||Week 4 - May 4 (Saturday) - SEM (Covariance- and component-based models)||Fundamental concepts in of SEM (basics) Bollen, K., & Long, J. 1993. Testing structural equation models: Sage Publications Inc. Bollen, K. A. 1989. Structural Equations with Latent Variables. New York: John Wiley and Sons.|
|5||Week 5 - May 11 (Saturday) - Panel Data Analysis||Singer, J. D., Willett, J. B., & Willett, J. B. (2003). Applied longitudinal data analysis: Modeling change and event occurrence. Oxford university press.|
|6||Week 6 - May 18 (Saturday) - Social Network Analysis||Scott, J. (2017). Social Network Analysis. Sage.|
|Assessment task||Value||Due Date||Return of assessment||Learning Outcomes|
|Quiz||40 %||07/04/2019||25/04/2019||1, 2, 3, 4, 5, 6|
|In-class written interpretation of the data/ findings/ results||60 %||07/04/2019||04/07/2019||1, 2, 3, 4, 5, 6|
PoliciesANU 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 RequirementsThe 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 AssessmentMarks 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.
Participation is expected in all classes and assessments
There are no examination for this course
Assessment Task 1
Learning Outcomes: 1, 2, 3, 4, 5, 6
Instructions: There will be five quizzes during the entire course. There will be one quiz each session (except for the first session). Each quiz will carry 8% of the total course grade.
Purpose: Assessing students understanding of methods covered and their basic assumptions.
Assessment Task 2
Learning Outcomes: 1, 2, 3, 4, 5, 6
In-class written interpretation of the data/ findings/ results
Instructions: There will be six in-class written assignments (one in each session). Each written assignment will carry 10% of the total grade for the course. Students will be required to interpret the Tables, Figures, and other ways of representation of findings/ results.
Purpose: Assessing and developing students’ skills to understand basic tenets of the methods covered, interpret results/ findings, and write a concise report in the format acceptable for conference submission.
Academic IntegrityAcademic 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 SubmissionThe ANU uses 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. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.
Hardcopy SubmissionFor 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.
No submission of assessment tasks without an extension after the due date will be permitted. If an assessment task is not submitted by the due date, a mark of 0 will be awarded.
Referencing RequirementsAccepted 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.
Please refer to assessment task details.
Extensions and PenaltiesExtensions 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
Assessment is completed during the class and resubmission is not applicable
Distribution of grades policyAcademic 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 studentsThe 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
Prof Israr Qureshi