The focus article by Coburn and Turner (this issue) seeks to provide a comprehensive framework for understanding data use in the context of data-use interventions. This commentary focuses on what the authors see as a glaring omission in what is otherwise a valuable framework: the issue of "useful data." It is their contention that the usefulness…

R. D. Howell, E. Breivik, and J. B. Wilcox (2007) have argued that causal (formative) indicators are inherently subject to interpretational confounding. That is, they have argued that using causal (formative) indicators leads the empirical meaning of a latent variable to be other than that assigned to it by a researcher. Their critique of causal…

This paper evaluates the logic underlying various criticisms of statistical significance testing and makes specific recommendations for scientific and editorial practice that might better increase the knowledge base. Reliance on the traditional hypothesis testing model has led to a major bias against nonsignificant results and to misinterpretation…