Course11010651438 lectures
Research for Marketing Decisions
Prof. Vaibhav Chawla · IIT Madras
About
Research for Marketing Decisions enriches MBA students with the theoretical and practical knowledge of the research process for solving marketing problems. Students are taught and made to practice the systematic and objective process of conducting research (which involves problem identification, developing a theoretical approach, research design, fieldwork and data collection, data analysis, and interpretation, and report writing) in the context of marketing problems. The learning in this course will enable students to independently conduct market research in the future.
Intended audience: Students Pursuing BCom, MBA, Ph.D. In ManagementMarketing ProfessionalsMarket Research ProfessionalsConsumer Insight ProfessionalsMarketing Analytics Professionals
Prerequisites: Basics of Marketing Management is a pre-requisite
Lectures
Week 1
- What is Market and Marketing?
- Research, Marketing Research and its Types
- Introduction to Marketing Research Process
- Step#1 Problem Definition: Discussion with Decision Maker
- Step#1 Problem Definition: Problem Audit, Interview with Experts, Qualitative Research, and Secondary Data Analysis
Week 2
- Step#1 Problem Definition: Marketing Research Problem and an Example
- Step #2 - Developing an approach to the problem: Understanding a Theory
- Step #2 - Developing an approach to the problem: Components of an approach
- Step #2 - Developing an approach to the problem: Examples
- Case Studies for Problem Definition Process
Week 3
- Research Design: An Introduction
- Exploratory and Descriptive Research Design: An Introduction
- Exploratory Research Techniques: Secondary Data and Thematic Analysis
- Exploratory Research Techniques: Secondary Data and Qualitative Research - Focus Group Discussion
- Exploratory Research Techniques: Focus Group Discussion Videos
Week 4
- Exploratory Research Techniques: Depth Interviews
- Exploratory Research Techniques: Projective Techniques
- Descriptive Research Techniques
- Causal Research Design: Experiments and Confounding Variables
- Causal Research Design: Experiments and Related Terminologies
Week 5
- Causal Research Design: Experiments and its Types
- Measurement and Scaling: Levels of Measurement
- Measurement and Scaling: Comparative and Non-Comparative Scaling
- Measurement and Scaling: Non-Comparative Scaling - Likert-Item Scales
- Measurement and Scaling: Semantic Differential Scale and Other Scale Decisions
Week 6
- Measurement and Scaling: Multi-item Scales
- Measurement and Scaling: Multi-item Scales, Conceptual and Operational Definitions
- Questionnaire Design: Initial Steps (1 to 5)
- Questionnaire Design: Steps 6 onwards and Other Issues
- Questionnaire Design: Framing Common Demographic and Screener Questions
Week 7
- Data Analysis using SPSS: Entering the Data
- Data Analysis using SPSS: Data Cleaning and Descriptive Statistics
- Data Analysis using SPSS: Charts, Outliers, and Descriptive Statistics
- Data Analysis using SPSS: Cross-Tabs
- Data Analysis using SPSS: Hypothesis Testing for Association
Week 8
- Data Analysis using SPSS: Hypothesis Testing for Differences in Means (P-value, Sampling Distribution, One-sample t-test)
- Data Analysis using SPSS: Hypothesis Testing for Differences in Means (Independent Sample T-test)
- Analysis using SPSS: Hypothesis Testing for Differences in Means (Paired Sample T-test, One-way ANOVA)
Syllabus and materials
At NPTEL, as the course publishes them.
Credits and licence
- Institution
- IIT Madras
- Department
- Management
- Teacher
- Prof. Vaibhav Chawla
- Level
- Graduate
- Language
- English
- Subjects
- Business and management
- Source
- NPTEL
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only. NPTEL's terms
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
- Who can watch
- NPTEL gives no rating. Invisible Network shows it to Tweens profiles and older, judged from what the source says about it. How courses are placed