Singapore University of Social Sciences

Multivariate Analysis

Multivariate Analysis (MKT355)

Synopsis

MKT355 Multivariate Analysis provides a firm understanding of the statistical and managerial principles underlying multivariate analysis. Topics include: how to prepare your data and the use of univariate tests, analysis of variance and covariance, regression analysis, discriminant analysis, logistic regression, factor analysis, and cluster analysis. Note: The course does not require students to bring a laptop. Students can choose to bring a laptop or share laptops with classmates during class, if needed.

Level: 3
Credit Units: 5
Presentation Pattern: Every January

Topics

  • Fieldwork
  • Data Preparation
  • Cross-tabulations
  • Nonparametric Hypothesis Test
  • One-way Analysis of Variance
  • Two-way Analysis of Variance
  • Analysis of Covariance
  • Regression Analysis
  • Discriminant Analysis
  • Logistic Regression
  • Factor Analysis
  • Cluster Analysis

Learning Outcome

  • Discuss the fieldwork and data preparation process.
  • Differentiate between non-parametric and parametric tests.
  • Examine the procedures of conducting multiple regression analysis and its applications in marketing research.
  • Distinguish the objectives and procedures of conducting discriminant analysis and logistic regression from other classification techniques.
  • Compare the objectives and applications of factor analysis and cluster analysis in marketing research.
  • Evaluate, undertake and interpret results of empirical studies using multivariate statistical techniques.
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