Parker, Caitlin Grace2015-06-182015-06-182015-06-17vt_gsexam:5587http://hdl.handle.net/10919/52963Experimental psychology is said to be having a reproducibility crisis, marked by a low rate of successful replication. Researchers attempting to respond to the problem lack a framework for consistently interpreting the results of statistical tests, as well as standards for judging the outcomes of replication studies. In this paper I introduce an error-statistical framework for addressing these issues. I demonstrate how the severity requirement (and the associated severity construal of test results) can be used to avoid fallacious inferences that are complicit in the perpetuation of unreliable results. Researchers, I argue, must probe for error beyond the statistical level if they want to support substantive hypotheses. I then suggest how severity reasoning can be used to address standing questions about the interpretation of replication results.ETDIn Copyrightstatisticsreplicabilityreproducibilitypsychologyscientific inferenceThesis