Multivariate Data Analysis: Pearson International Edition Resúmenes

Comprehensive summary of the book Multivariate Data Analysis by Hair et al. (2010. It covers chapter 1, 2, 3, 4, 6, 11, 12, and 13, which involve introduction, data analysis, exploratory factor analysis, multiple regression analysis, logistic regression analysis, confirmatory factor analysis, and structural equation modeling. This summary was derives for the course 1ZM31 at University of Technology Eindhoven. However, the summary is generalizable for all courses within or outside of University o...

Complete summary of course 'Business Research', no need to read the chapters anymore.

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.

Including notes made during all the lectures, summary of chapter 1 and 2 of the book (ABBA good edition) & example questions discussed during last lecture (lecture 7).

Summary chapter 1, 3, 4, 6, 7, 11, 12, 14

Samenvatting Advanced research methods quantitative kwantitatief Hair et al., 2010 Focus op factor analyse en regressie analyse

In deze samenvatting voor Introduction in Research in Marketing zijn de lessen (sheets), aantekeningen en soms benodigde SPSS stappen samengevat in overzichtelijke tabellen, zoals je ziet op de eerste pagina voor ANOVA. De samenvatting bevat ANOVA, Factor Analysis, Cluster Analysis, Logistic Regression, Conjoint Analysis en Multidimensional Scaling.

Advanced research methods (ARM) part B assignment 1 and 2 (factor analysis and regression analysis). The maximum amount of bonus point (2) for both assignments.

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)

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