Learn · Marketing Research and Analysis
Lecture 40 of 60Week 8
Conjoint Analysis
Prof. J.K.Nayak · IIT Roorkee
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- From
- Marketing Research and Analysis, IIT Roorkee (at NPTEL)
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only.
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
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- Tweens profiles and older. How courses are placed
All the lectures
- Introduction to Marketing Research
- Defining Research Problem
- Developing Research Approach & Developing Research Design: Non- Conclusive
- Research Design: Conclusive
- Qualitative Research: Nature and Approaches
- Qualitative Research: Depth Interview, Focus Group Discussion
- Projective Technique, Case Study
- Case Study, Descriptive Research Design & Research Errors
- Primary & Secondary Data, Research Error
- Measurement & Scaling: Comparative & Non-comparative Scaling
- Scale Development Process
- Questionnaire & Form Design
- Causal Research & Types
- Experimental Design & Sampling
- Sampling Design & Procedure
- Sampling & Sample Size Determination
- Hypothesis Development: Null & Alternate, Type I & Type II Errors
- Data Preparation
- Hypothesis Testing: T-Test, Z-Test
- T, Z & F Test
- Hypothesis Testing: Anova & Manova
- Cross Tabulation & Chi Square Test
- Correlation & Regression
- Regression
- Factor Analysis
- Factor Analysis
- SEM & CFA
- SEM & CFA
- SEM & CFA
- Cluster Analysis- I
- Cluster Analysis- II
- Discriminant Analysis
- Discriminant Analysis
- Researching Rural Market
- International Marketing Research
- Ethics in Marketing Research
- Ethics in Marketing Research
- Report Preparation & Presentation
- Multi Dimentional Scaling
- Conjoint Analysis
- Introduction to Text Analysis
- Text Analysis Process
- Importance & Application of Text Analysis
- Tools & Techniques of Text Analysis
- Text Preprocessing & Text Representation
- Text Representation (Cont.)
- Hands-on – Methodology for Analyzing YouTube Comments on Sustainable Development Goals
- Data Preprocessing & Cleaning with Python
- Data Preprocessing & Cleaning with Python(Contd..)
- Sentiment Analysis
- Introduction to NRC Lexicon
- Application of NRC Lexicon using Python
- Sentiment Analysis: Machine Learning & Deep Learning Algorithms
- Introduction to Topic Modeling
- Topic Modeling Techniques
- Hands-on Exercise: Topic Modeling using LDA
- Hands-on Exercise: Topic Modeling using NMF
- Part of Speech Tagging & Named Entity Recognition
- Hands-on Exercise: Named Entity Recognition
- Hands-on Exercise: Part of Speech Tagging