PART ONE: COLLECTING, PREPARING AND CHECKING THE DATA Measurement, Errors and Data for Consumer Research Secondary Consumer Data Primary Data Collection Data Preparation and Descriptive Statistics PART TWO: SAMPLING, PROBABILITY AND INFERENCE Sampling Hypothesis Testing Analysis of Variance PART THREE: RELATIONSHIPS AMONG VARIABLES Correlation and Regression Association, Log-linear Analysis and Canonical Correlation Analysis Factor Analysis and Principal Component Analysis PART FOUR: CLASSIFICATION AND SEGMENTATION TECHNIQUES Discriminant Analysis Cluster Analysis Multidimensional Scaling Correspondence Analysis PART FIVE: FURTHER METHODS IN MULTIVARIATE ANALYSIS Structural Equation Models Discrete Choice Models The End (and Beyond)
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