LEARNING OBJECTIVES Upon completing this chapter, you should be able to do the following: ? Select the appropriate graphical method to examine the characteristics of the data or relationships of interest. ? Assess the type and potential impact of missing data. ? Understand the different types of missing data processes. ? Explain the advantages and disadvantages of the approaches available for dealing with missing data. ? Identify univariate, bivariate, and multivariate outliers. ? Test your data for the assumptions underlying most multivariate techniques. ? Determine the best method of data transformation given a specific problem. ? Understand how to incorporate nonmetric variables as metric variables.
Hair, J. F., Black, W. C., Babin, W. C., & Anderson, R. E. (2010). Examining Your Data. In Multivariate Data Analysis (pp. 31–88). https://doi.org/10.1021/ja01203a064