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Summaries Multivariate Data Analysis: Pearson International Edition (7th edition)

J. Hair, William C. Black - ISBN: 9781292021904

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View all 29 summaries for Multivariate Data Analysis: Pearson International Edition, written by J. Hair, William C. Black. The summaries for Multivariate Data Analysis: Pearson International Edition are written by fellow students or tutors, making it easier for you to understand the content of the textbook. By finding the summary that matches your study style perfectly, studying will be a breeze.

Best selling summaries for Multivariate Data Analysis: Pearson International Edition

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Summary 1ZM31 Multivariate Data Analysis by Hair
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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 is the method for the course 1ZM31 at University of Technology Eindhoven, the Netherlands. Hair et al. (2010) An extensive summary of the book Multivariate Data Anal...

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Summary book Multivariate Data Analysis (Hair)
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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.

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Summary for Introduction to Research in Marketing
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In this summary for Introduction in Research in Marketing, the lessons (sheets), notes and sometimes required SPSS steps are summarized in clear tables, as you can see on the first page for ANOVA. The summary contains ANOVA, Factor Analysis, Cluster Analysis, Logistic Regression, Conjoint Analysis and Multidimensional Scaling.

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Summary: Multivariate Statistics (Including practical exam questions)
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This is an English summary of the course Multivariate Statistics (1ZM31) and based on the book 'Multivariate Data Analysis' by Joseph F. Hair Jr. et al. The course is provided by the Technical University of Eindhoven (TU/e). Additionally, 95 practical exam questions are included in this summary to enhance learning for the exam. The same questions are also available apart from this summary. Topics include: Data Exploration; Exploratory Factor Analysis (EFA); Multiple Regression; L...

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  • by JGiebels • 
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MMSR: summary of all 4 analyses
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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)

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  • by Gijs0326 • 
  • uploaded  09-01-2020
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Newest summaries of Multivariate Data Analysis: Pearson International Edition

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Summary book Multivariate Data Analysis (Hair)
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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.

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  • Summary
  •  • 119 pages • 
  • by Romygerritsen • 
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Intro. to Research in Marketing (fall 2020) lectures, slides some book info
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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.

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  • by rscholtealbers • 
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MMSR: summary of all 4 analyses
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$6.50
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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)

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  •  • 34 pages • 
  • by Gijs0326 • 
  • uploaded  09-01-2020
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Summary Introduction to Research in Marketing (Fall)
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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

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