Multivariate Data Analysis: Pearson International Edition Resúmenes (7.º edición)

All the important key words for the exam with the thresholds they have to meet.

These are the notes from all the lectures and slides given in fall 2020. I add some additional and clear information from the textbook. Every statistical step is explained step by step.

Hereby a trial exam for Methodology in Marketing and Strategic Management Research for the master course for the Radboud University

Summary of ALL lectures for Introduction to Research in Marketing - Marketing Management / Analytics master 2021

Summary of the course Introduction To Research in Marketing (fall) with the following subjects: - Introduction, data exploration and visualization - ANOVA - Cluster analysis - Factor analysis - Logistic regression - Conjoint analysis - Multidimensional scaling

Hereby a trial exam for Methodology in Marketing and Strategic Management Research for the master course for the Radboud University

Summary of the course Introduction To Research in Marketing (fall) with the following subjects: - Introduction, data exploration and visualization - ANOVA - Cluster analysis - Factor analysis - Logistic regression - Conjoint analysis - Multidimensional scaling

Summary of ALL lectures for Introduction to Research in Marketing - Marketing Management / Analytics master 2021

All the important key words for the exam with the thresholds they have to meet.

These are the notes from all the lectures and slides given in fall 2020. I add some additional and clear information from the textbook. Every statistical step is explained step by step.

Summary of the book Multivariate Data Analysis (Hair et al), chapters 1, 3, 4, 6 11 and 12. These chapters are mandatory for the course 'Advanced Research Methods, part B' at Radboud University, Master Business Administration. The summary is quite large, but it entails a list of all definitions per chapter, all figures, tables and diagrams: all important information.

Summary of all video clips as provided on Bright Space. Including screenshots of the most important slides shown in those clips.

Summary consisting of all the stages in the process of the analyses with examples from lectures: Factor analysis (exploratory and confirmatory) (M)AN(C)OVA (and differences between the types of ANOVA) Regression Analysis (multiple and single) Partial Least Squared (SEM in ADANCO)

Summary of all video clips as provided on Bright Space. Including screenshots of the most important slides shown in those clips.

Summary of chapter 1, 3, 4, 11 and 14 of the Book Multivariate Data Analysis: Pearson International Edition of Hair et al.