Introduction to Research in Marketing

Brief summary of the Introduction to Research in Marketing lectures. The topics covered are (in order): data exploration & visualization, ANOVA, linear regression, logistic regression, factor analysis and cluster analysis. The structure of the lectures has been maintained to make it easier to study. In addition, a lot of work is done with color and tables to keep the summary as brief as possible.

Dit is een samenvatting van het vak introduction to research in marketing. De volgende 6 onderwerpen zijn samengevat: ANOVA, linear regression, factor analyse, cluster analyse, multiple regression en conjoint analyse.

In this document you will find a full overview of everything that is mentioned in the lectures and lecture slides (plus examples in italics) and other relevant materials mentioned on Canvas!

Summary of all the lectures for the course introduction to research in marketing Aims to provide a clear overview of the most important topic in a comprehensive way

Summary of all the lectures for the course Introduction to Research in Marketing. Not in a bullet-list type of way so you have to figure everything out yourself, but in clear, concise language. This file contains all the material discussed in the lectures and web clips.

Glossary/summary of the introduction lecture and the 6 topics discussed in class: ANOVA, Linear Regression, Factor Analysis, Cluster Analysis, Logistic Regression, Conjoint Analysis. Professor: Els Gijsbrechts. Written: spring 2022.

A very clear overview of all the analyses you need to know. Test passed all at once!

This summary is written for the course “Introduction to Research in Marketing” during the semester Spring-2022 and is part of both the master Marketing Analytics and the master Marketing Management. The input for this summary consists of all the information given in the lectures.

Lecture in Cluster Analysis