ABSTRACT
This chapter focuses on matrices and how they relate to multivariate methods. As such, it is not a chapter on a specific method, but rather foundational information to help in understanding the calculations involved in many multivariate methods [e.g., multivariate analysis of variance (MANOVA), discriminant function analysis (DFA), canonical correlation (CC)]. Although a great deal could be written about matrices as is evident in several excellent sources (Harville, 1997; Namboordiri, 1984; Schott, 1997; Tabachnick & Fidell, 2001; Tatsuoka, 1971), in this chapter we focus on very basic information and calculations. The initial framework of presenting material within the 10 questions outlined at the end of the chapter on background themes will be modified somewhat to accommodate the topic of matrices.
