Bm02mm - Samenvattingen, Aantekeningen en Examens

For practical courses like this one, it's essential to have good notes that guide you through each process. The document contains notes from all CMR's classes, including detailed screenshot explanations of each statistical test. It also contains further explanations not on lecture slides, making the material easier to understand.

This file contains a quick overview of all analyses and their respective outputs and result sections which is where the exam will mostly be about! I took this with me to the exam and it was my saviour ;) It is great to link the analyses to how their interpretations look in your head by studying this overview. Combine this with the summary and you're good to go!

English summary of all lectures of Consumer Marketing Research at Rotterdam School of Management, followed in block 1 of college year . This summary covers content of all lectures and workshop sessions. Based on this summary, two 7+ grades are achieved.

Consumer Marketing Research lecture summaries. I took the course last year and all the lecture content is similar, but only in a different order. The content is the same as I went through all this year's slides as well. Combine this with my other CMR files and you're all set for the exam!

Consumer Marketing Research notes for October 2023. All topics covered in the 6 lectures. With practical examples at the bottom of the document with result section and analysis.

Workshop exercises from CMR workshops in which Romain provided exercises to practice. In this file it is all put together in a nice overview to study the outputs and interpretation for the exam. I included last year's at the end for additional practice materials :)

Summary of all the content for the CMR exam. It's an open book (if its the same as in 2023), so print this document out and get the same result as I had (8.0)!

A summary of all the material for Consumer Marketing Research (only lectures). It includes concept definitions, steps of the marketing research process, how to interpret R output, and screenshots of important lecture slides etcetera.