Algonquin College School of Business MBIR program is modelled after - - PowerPoint PPT Presentation
Algonquin College School of Business MBIR program is modelled after - - PowerPoint PPT Presentation
A Graduate Certificate Program Algonquin College School of Business MBIR program is modelled after MRIA - CMRP Courses WINTER TERM FALL TERM 7. Marketing Management 1. Fundamentals of MR 8. Competitive Business 2. Questionnaire
FALL TERM
1. Fundamentals of MR 2. Questionnaire Design 3. Qualitative MR 4. Ethical Issues & Privacy 5. Online MR 6. MR Statistics and Data Analysis
WINTER TERM
7. Marketing Management 8. Competitive Business Intelligence 9. MR Design
- 10. International MR
- 11. Advanced Techniques for MR
- 12. Research for Core Industries
- 13. Introduction to Field Work
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SPRING TERM - Work Placement
MBIR program is modelled after MRIA - CMRP Courses
Thank you to our corporate partners!
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IBM - SPSS
IB IBM M - SPSS SPSS
itracks
- Quantitative Data Collection
- Quantitative Data Analysis
- Qualitative Data Collection
- Project Planning and Client Liaison
MBIR skills on display
- Fields of study – all students have a university
degree or college diploma already
. . . business, economics, marketing, psychology, political science, geography, sciences, engineering, communications, linguistics, education
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- Work experience – some students left other careers
to pursue MBIR . . . project manager, analyst, teacher, banker, customer
relations, program coordinator
- Languages spoken – 10 in total among the students
MBIR Students bring a rich background
- Health Canada
- CIPO
- PWGSC
- OSFI
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Magic Eye Consulting
MBIR alumni in the workplace
At year 3 of the program, interns and grads work in many sectors.
Add value - Hire an MBIR intern!
- Program is founded on equal parts study and work
- 480 hours of work experience required to graduate
- Can be full time - OR – part time - OR – per project
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Martin Taller MBIR Program Co-ordinator (613) 727-4723 ext. 6139 tallerm@algonquincollege.com
Interns are ready to hit the ground running!
- Raquel Genio
Quantitative Data Collection
- Abhay Tiwari
Quantitative Data Analysis
- Ruth Davy
Qualitative Data Collection
- Jamell Vanterpool
Project Planning and Client Liaison
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From an MBIR student perspective: A brief look at the skills acquired
Quantitative Data Collection
- Meet the research objectives
We can design questionnaires to …
- Apply the appropriate scales
- Ranking, Rating, Likert, Semantic, Staples
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- Rank consumers’ preferences
- Measure behavioural intentions
We can design questionnaires to …
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- Predict behaviour using psychographic questions
We can design questionnaires to …….
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We can create inviting online surveys …
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Edit
- Various
languages
- Question
formats
- Skip logic:
- Branching
- Looping
- Piping
- Show/hide
- Redirection
Style
- Add images
& video
- Style
background and text
Preview
- Preview &
test survey look and skip logic
We can create engaging online surveys …
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Publish
- Change and add
features:
- Manage privacy &
security
- Manage features
accessible to respondents
- Customize URL
and barcodes
- Set quotas &
restrictions
- Survey messages
and buttons
Invite
- Import contact
lists
- Create contact
lists within survey tool
- Compose and
send invitations and reminders
Analyze
- Create
summary reports
- Create cross-
tabs & various graphics
We can create effective online surveys …
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Quantitative Data Analysis
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“Or, what does all this data mean?”
First Semester - GETTING A GRIP
- Key Skills Acquired:
– Approaches to analyze data – Sampling procedures and applying weights – Estimation – Hypothesis testing/statistical significance – Correlation analysis – Data Coding and Cleaning – Data presentation (including charts and tables)
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Second Semester – FULL THROTTLE
- Key Skills Acquired:
– Multivariate analysis – Purpose of statistical techniques – Comparison of means using T-tests – ANOVA and ANCOVA – Regression Analysis
- Linear and Non-linear regression
– Factor Analysis – Cluster Analysis – Multi-Dimensional Scaling/Unfolding – Conjoint Analysis
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- Awesome Pizza (Virtual co.) wants to predict the sales of
pizzas.
- Terrific research came up with a theoretical model.
SALES
Number
- f existing
customers
Competitor activities Index Varieties
- f Pizza
Number of Outlets Number of delivery boys Advertisement Expenditure
Now here’s a research problem
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But, what’s the nature of the relationship?
Sales Number of Employees Sales Advertisement Expenditure Sales Number of Outlets Sales Varieties
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And, of what value is this relationship?
Sales Competitor Index Sales Customers
Initial Observations
- Some variables may have a linear relationship with sales.
Questions to be addressed
- How strong is the relationship?
- What relationships are statistically significant?
- How accurate is the prediction?
Y=6.37+0.92X1 +0.69X2 +1.62X3 -1.97X4 +0.07X5 +0.24X6 The model has a predictive accuracy of 95.3%. More analysis and
- ptimization is needed …….
One approach - Regression Model
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And the answer is...
- We would be happy to talk to you about:
– How the results could be interpreted – What other analysis techniques could be used
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Moving Forward in Qualitative Research
We have the knowledge to: Recruit valid participants and obtain consent Respect privacy and confidentiality Educate clients on required standards, e.g. QRR Deal with unique needs, e.g. children
MRIA Code of Conduct and Good Practice
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Delivering on… MRIA standards and best practices
We establish research objectives and then:
Recommend an approach
- qualitative versus hybrid
Develop recruitment screeners
- product usage; participation
Prepare discussion guides
- for IDIs or focus groups
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Designing … effective projects
We are trained to handle many situations:
Probe effectively Incorporate projective techniques Manage difficult participants – and
- bservers!
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Implementing . . . effective projects
We have the skills to:
- Use the latest online tools: BBFGs, OLFGs
- Interact effectively in these new platforms
- Create an engaging respondent experience
itracks
Leading to:
- Richer data and better results
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Applying … advanced technologies
itracks
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OLFG – Main screen
itracks
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OLFG – Back room view
Project Planning and Client Liaison
STUDENTS
- Work with real clients to solve real needs
- Conduct a complete MR project
CLIENTS
- Use findings to make real business decisions
MBIR projects comprise “real research”
5 client projects are underway
- 1. GOVERNMENT
- Advertising, Coordination and Partnerships Directorate (ACPD)
- Electronic Media Monitoring (EMM)
- Public Opinion Research Directorate (PORD)
- 2. NOT FOR PROFIT
- Canadian Public Relations Society (CPRS)
- 3. HIGHER EDUCATION
- Algonquin College & University of Ottawa
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Projects fall into three sectors
Formal research proposal Design Field work Analysis Report & presentation
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Projects follow a disciplined process
Projects apply various methodologies
QUALITATIVE
- In depth interviews
- Expert panels
- Secondary data analysis
QUANTITATIVE
- On line surveys
- Multiple cross-sectional design
- Attempted census
- SPSS analysis
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POOR RESPONSE RATES
- Generalize results to larger populations
TIGHT DEADLINES
- Balance client needs and class projects
COORDINATION
- Accommodate client and student schedules
BUDGET
- Manage with no funds
Projects must overcome challenges
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Projects benefit clients and students
CLIENTS Results Credible findings Actionable recommendations STUDENTS Real world experience Design an MR project Work with clients
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