This paper illustrates how canonical correlation analysis can be employed to implement all the parametric tests that canonical methods subsume as special cases. The point is heuristic: all analyses are correlational, all apply weights to measured variables to create synthetic variables, and all yield effect sizes analogous to "r"…

The use of repeated measures research designs is explored. Repeated measures designs are often advantageous and can be implemented in a variety of research settings. One of the main advantages in repeated measures designs is the control of subject variability. Other advantages are the reduction of error variance and economy in subject recruitment.…

This paper explains how Q-technique factor analysis can be used to identify types or clusters of people with similar views. Q-technique factor analysis can be implemented with commonly available statistical software such as the Statistical Package for the Social Sciences (SPSS). The paper addresses three questions: (1) How many types (factors) of…

Factor analysis has been characterized as being at the heart of the score validation process. In virtually all applications of exploratory factor analysis, factors are rotated to better meet L. Thurstone's simple structure criteria. Two major rotation strategies are available: orthogonal and oblique. This paper reviews the numerous rotation…

Factor analysis has historically been used for myriad purposes in the social and behavioral sciences, but an especially important application of this technique has been to evaluate construct validity. Since in the present milieu both exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) are readily available to the researcher,…