|Survey Design and Data Analysis|
|Instructor:||Dr. Kelleen Wiseman|
|Email:||email@example.com, Phone: 604-822-9704|
|Office Hours:||11:30 am to 12:30 pm Mon/Wed|
|Important Course Pages|
- 1 Course Description
- 2 Course Format
- 3 Textbook
- 4 Course Requirements & Grading (Draft)
- 5 Survey Research Project & Presentation
- 6 Peer Review
- 7 Exams
- 8 Data Analysis Project
- 9 In-Class Activities
- 10 Class Participation
- 11 Class Protocol
- 12 Academic Misconduct
- 13 Schedule* Draft schedule subject to change
This course focuses on exploring the methods and techniques in applied survey research and data analysis with concentration on the food, agribusiness and resource sector. Content includes the market research process; design of questionnaires; best practices of conducting surveys, sample selection and design; coding and organizing data, survey data analysis using Excel/SPSS, ethic assessment and development of quality market research proposal, presentations and reports. If time permits, qualitative focus group process, conduct and data assessment will be covered.
As a 1.5 credit course, the course will be structured as thirteen 1 ½ hours classes provided throughout the January to April term. The draft schedule for course lectures is as follows:
|January||Mon/Wed 10:30 – 12:00 (six 1.5-hour classes)|
|February||No classes Students will have time to work independently on survey case project|
|March||Mon/Wed 10:30 – 12:00 (six 1.5-hour classes)|
|April||Mon/Wed 10:30 – 12:30 (one 1.5-hour classes) Presentations|
|Meetings:||Ongoing regular meetings (2 to 3) with instructor and TA will be conducted throughout the term to support continued development of the questionnaire.|
|Labs:||Two to three Excel/SPSS labs will be held in early March to support data analysis and assessment.|
Textbook: Modern Marketing Research Step-by-Step (With Ken Deal), Revised Edition, 2011.
Readings: Readings and a set of discussion questions will be provided on Canvas.
Course Requirements & Grading (Draft)
|Exams and Project||Percent of Grade|
|Survey Research Project||20%|
|Survey Research Project Final Presentation||8%|
|Peer review (One time through term)||5%|
|Data Analysis Project||15%|
|Midterm Exam (in class)||20%|
|Final Exam (take home)||22%|
|Class Participation/In -Class Activities||10%|
Survey Research Project & Presentation
The objective of this evaluation method is to develop and present a well-researched and well-organized survey questionnaire that allows students to apply the methods and techniques of applied survey research to a real-world setting in the areas of food, agribusiness or resources. Emphasis will be placed upon the research question identification, project proposal & data plan development; survey question design, flow and content presentation; application of best practices of survey design; and data and report planning. The survey research project group should ideally consist of two people who will work together as a team in developing all components of the research project and presentation.
Each group will be paired with another group and will be required to workshop and provide feedback on the research proposal and questionnaire. Details to the required meetings and feedback will be provided during the term.
|MODULE||Upon completion of this course, students should be able to complete the following:|
|Market Research Design||
|Professional Ethics and Communications in Market Research||
If you are unable to write an examination, you must have a verifiable doctor note and must contact me before or immediately after the scheduled date and time and present documentation explaining your absence. If the excuse is considered legitimate, then the weight of the exam will be transferred to the final exam. There will be no makeup midterm examinations.
Data Analysis Project
Data will be provided to student groups. Students will be required to develop a research data plan, utilize excel/SPSS to conduct data analysis basis the data analysis plan and present these findings in a final report.
Six individual in-class activities will take place throughout the term. Material will be focused on the lectures, discussion, readings and textbook content. Activities will not be announced ahead of time and must be completed on your own in approximately 10 minutes and submitted in the class during which they were assigned. The marker for the course will grade these activities basis the rubric: 0 missing information/poor; 0.5 adequate but needs details/work; 1 satisfactory. Late submissions will not be not accepted. There are no do-overs or extra credit for missed activities. If you miss an activity for any reason, you will receive a grade of 0 in that activity. Your grade will be assessed using the best five grades of the six activities, with each question allotted 1 pt toward the total grade. Solutions to activities will be posted shortly after the in-class activity has been provided in class.
Topics will be explored via lecture notes, practice cases and assigned readings. Throughout the course, readings, cases and question will be assigned. Students are required to read, develop rough notes to answer assigned questions and be ready to present and discuss these topics on the defined dates.
A dynamic, actively participating class will learn far more and thus I look forward to your initiative; completion of assigned course readings, cases, and question; thoughtful analysis; and active learning during the course. Basic participation starts with attending all classes, advance reading and preparation for class and active engagement with the class content/participants. In addition, your overall participation mark will also be based on:
- active participation in the course activities
- accurate and detailed completion of assigned readings, questions and cases
- respect for others' points of view in cooperative and collaborative learning environments
Participation Rubric (Martha L. Maznevski, 1996): Participation is graded on a scale from 0 lowest) through 4 (highest), using the criteria below.
|1 (D grade)||
|2 (C grade)||
|3 (B grade)||
|4 (A grade)||
You are in a professional UBC Master’s program and thus the class protocol and your actions needs to reflect this. Protocol items include the following:
- Participation is important in this class. All students are expected to come to class having read the assigned readings and additional resources and be ready to engage in the materials.
- Cell phone should be accessed only for time tracking. Texting in class is not professional!
- Be on time for class. You are in a professional program – manage your time
- Do not enter and exit the classroom during the class.
- Pick up your name tag before each class and then drop it off after each class.
- Please do not eat during class because it is distracting for others.
The integrity of academic work depends on the honesty of all those who work in this environment and the observance of accepted conventions such as acknowledging the work of others through careful citation of all sources used in your work. Plagiarism - including self-plagiarism - and other forms of academic misconduct are treated as serious offences at UBC, whether committed by faculty, staff or students. You should be aware of the sections of the University Calendar that address academic integrity and plagiarism (http://vpacademic.ubc.ca/integrity/). The UBC library also has a useful web-based Plagiarism Resource Centre that explains what plagiarism is and how to avoid it (http://vpacademic.ubc.ca/integrity/ubc-regulation-on-plagiarism/).
For this case, you will be required to submit the document in electronic form. The electronic material will be submitted to a service to which UBC subscribes, called TurnItIn. This service checks textual material for originality. It is increasingly used in North American universities. For more information, review TurnItIn online. Academic dishonesty can result in a failing grade on assignments, a mark on your transcripts, or even expulsion from the university.
Schedule* Draft schedule subject to change
|Six Classes||Market Research Process
Research Design: Qualitative & Quantitative
Research Topic Development & Research Question Identification
|Five Classes||Analyzing Quantitative Data: Survey Data Analysis
Best Practices for Data Analysis
|One classes||Report writing and presentation.
Ethics and Best Practices
|One Class||Final Presentation|