This paper presents a discussion of various statistical concepts and techniques in light of two propositions. The first is that researchers need to select analytical techniques that prevent them from committing Type VI errors, which are inconsistencies between the research question and the statistical analysis. The second is that many statistical techniques are interrelated on a conceptual level. In addition, a list of resources is presented to assist researchers who want to pursue a more detailed study of the issues presented. The topics discussed are: (1) distinguishing between statistical analysis issues and research design issues; (2) examining various concerns with the use of structural equation modeling; (3) considering both statistical and practical significance of results; (4) reflecting on when and how to control for inflated Type I error rates; and (5) distinguishing between research questions that require multivariate analyses and those that require univariate analyses. This paper may provide researchers with more in-depth understanding of how a given technique may address a research question accurately. (Contains 1 table and 35 references.) (Author/SLD)