Implication Analysis: A Pragmatic Proposal for Linking Theory and Data in the Social Sciences

Abstract

Sociology and other social sciences struggle to emulate a model of scientific evidence that is often inappropriate. Not only do social researchers encounter special limits, but they are also handicapped by a distorted and idealized picture of practices in the “hard sciences.” Ironically, while often obliged to use data of lower quality, sociology employs standards for evaluating a theory that are not attained in the hard sciences. After a brief review of these obstacles, we describe a set of procedures for using empirical data to rigorously evaluate theories and hypotheses without resorting to the mimicking of hard science. The interaction between theory and evidence normally involves deriving implications from the theory (usually referred to as hypotheses) and then ascertaining how closely the empirical evidence meets these implications. The appropriateness of the implications is a key factor in the entire operation, linking as they do the data and the theory. The evaluation of a theory is no better than the theory's implications (as generated by the investigator) coupled with the quality and appropriateness of the evidence. It is our impression, however, that because this step is insufficiently addressed, there are unnecessary problems in the evaluation of theories. We use the term “Implication Analysis” to describe our efforts to review and improve current procedures.