g. Lesson Plan
Weekly Lecture Plan |
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Lecture No |
Topic To be Discussed |
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1 |
The Marketing Research Environment • Introduction and welcome to marketing research. • Why does marketing research exist? • What is marketing? • What is market research and marketing research? • Who carries out marketing research? • What are the various types of marketing research? |
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2 |
What are the benefits of marketing research to marketing managers? • Professional commercial marketing research in Canada. • guide‐lines for successful marketing research How to Design a Marketing Research Project • Why is research design important? • What was I thinking? • Why problems are not defined properly. • Confusing latent variables with manifest variables. |
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3 |
• A practical guide to defining marketing research problems. • Can this study provide answers to the problem? • What are marketing research projects like? • How is data collection designed? • When should qualitative research be used? • When should quantitative research be used? • Why is the marketing research proposal so important? • A very practical introduction to consulting in marketing research, obtaining a client, developing the project proposal, scheduling the project, and initiating the research process. |
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4
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STATISTICAL ANALYSIS OF SURVEY DATA Introduction to Statistical Analysis Using SPSS The analysis of survey data using a computer‐based statistical package ‐‐ SPSS Windows Data Reduction, Processing and Tabulation • Editing; coding; tabulation (one‐way & cross‐tabs) Data Analysis: Basic Questions • Choice of analysis technique; type of data; research design; • assumptions for statistics, hypothesis testing confidence intervals; • univariate and bivariate analyses • cross tabs & Chi‐Square test • z‐test for the difference between proportions • t‐test for the difference between two means Data Analysis: Multivariate Analysis • Analysis of variance and • Linear regression. • Other multivariate methods Data Analysis: Other Non‐Parametric Procedures • Correlation and difference tests for nominal and ordinal data. • Friedman analysis of variance |
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5 |
HOW TO DESIGN A QUESTIONNAIRE • The development of questionnaires will be covered in depth. A specific questionnaire design will be explained. The principles taught in this section must be used for the project questionnaires. |
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6 |
HOW TO MEASURE ATTITUDES, BEHAVIOUR AND TRAITS • How to write screeners and warm‐up questions • General overview of measurement and scaling • How to measure attitudes • How to assess behaviour • Lifestyle measurement • Measuring demographic traits |
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7 |
HOW TO MANAGE THE MECHANICS OF RESEARCH • How is fieldwork done? • How to secure confidentiality and assure quality |
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8 |
What factors influence fieldwork? • Interviewer training • Data collection online • Processing the data |
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Mid Term Exam |
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9 |
HOW TO CARRY OUT QUALITATIVE RESEARCH: FOCUS GROUPS AND IN‐DEPTH PERSONAL INTERVIEWS • the purpose, design and execution of focus groups • designing the discussion guide, recruiting respondents, moderating the group discussion, debriefing clients and presenting the findings |
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HOW TO CARRY OUT QUALITATIVE RESEARCH: FOCUS GROUPS AND IN‐DEPTH PERSONAL INTERVIEWS • the purpose, design and execution of focus groups • designing the discussion guide, recruiting respondents, moderating the group discussion, debriefing clients and presenting the findings |
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11 |
HOW TO DRAW SAMPLES Sample Size Population and sample characteristics; intention of the sampling (variables, attribute, precision, and confidence) Sampling Procedures • Sampling plan; non‐probability and probability samples; estimation; stratified and cluster sampling 8.3 Adjusting for sample bias • Techniques to adjust results to account for sample biases and on‐representativeness, sample weighting |
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12 |
HOW TO DRAW SAMPLES 8.1 Sample Size • Population and sample characteristics; intention of the sampling (variables, attribute, precision, and confidence) |
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13 |
8.2 Sampling Procedures • Sampling plan; non‐probability and probability samples; estimation; stratified and cluster sampling 8.3 Adjusting for sample bias • Techniques to adjust results to account for sample biases and non‐representativeness, sample weighting |
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14 |
9. ETHICS IN MARKETING RESEARCH • Rights & obligations among parties • Common‐sense relationship building in marketing research • Responsibilities to the public |
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15 |
10. HOW TO PRESENT RESEARCH FINDINGS • A short course in business communication • Avoid gobbledygook • Use Multiple Exposure • Write with a purpose |
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16 |
• Providing key marketing research deliverables • How to effectively present research findings • Writing the formal research report |
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