Abstract

The misconception that the application of statistical methods makes psychology a science is examined. Criticisms of statistical methods involving issues related to the generalization of aggregate-level findings to individuals, the impoverished language of numbers, the application of questions to methods, and the logic of statistical hypothesis testing are reviewed. It is not suggested, however, that statistical methods be abandoned. Instead, it is suggested that shortcomings of statistical methods indicate the importance of making ontological considerations a primary concern. Methodological considerations in the absence of an understanding of the truth or ontological status of what is being studied will inevitably undermine psychologists’ efforts at understanding what it is to be human. Whereas the use of statistical methods in psychological research does not make the discipline a science, the truthful affiliation of methodology with ontology may