algonquin college – school of business
TRANSCRIPT
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Algonquin College – School of Business
A Graduate Certificate Program
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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
2 SPRING TERM - Work Placement
MBIR program is modelled after MRIA - CMRP Courses
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Thank you to our corporate partners!
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IBM - SPSS
IBM - SPSS
itracks
Quantitative Data Collection
Quantitative Data Analysis
Qualitative Data Collection
Project Planning and Client Liaison
MBIR skills on display
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• 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
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• 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.
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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 [email protected]
Interns are ready to hit the ground running!
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• Raquel Genio Quantitative Data Collection
• Abhay Tiwari
Quantitative Data Analysis
• Ruth Davy Qualitative Data Collection
• Jamell Vanterpool Project Planning and
Client Liaison 7
From an MBIR student perspective: A brief look at the skills acquired
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Quantitative Data Collection
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• 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
Styl
e • Add images & video
• Style background and text
Pre
view
• Preview & test survey look and skip logic
We can create engaging online surveys …
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Pu
blis
h
• Change and add features:
• Manage privacy & security
• Manage features accessible to respondents
• Customize URL and barcodes
• Set quotas & restrictions
• Survey messages and buttons
Invi
te
• Import contact lists
• Create contact lists within survey tool
• Compose and send invitations and reminders
An
alyz
e • 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?”
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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
of existing customers
Competitor activities
Index
Varieties of 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? Sa
les
Number of Employees
Sale
s
Advertisement Expenditure
Sale
s
Number of Outlets
Sale
s
Varieties 19
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And, of what value is this relationship? Sa
les
Competitor Index
Sale
s
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?
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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 optimization 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
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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
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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
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We are trained to handle many situations:
Probe effectively
Incorporate projective
techniques
Manage difficult participants – and observers!
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Implementing . . . effective projects
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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
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itracks
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OLFG – Main screen
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itracks
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OLFG – Back room view
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Project Planning and Client Liaison
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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
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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
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Formal research proposal
Design
Field work
Analysis
Report & presentation
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Projects follow a disciplined process
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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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How to find out more ...
www.algonquincollege.com
www.linkedin.com/groups/MRIA
www.mria-arim.ca/ottawa
in