Experimental 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. / Master of Arts
| Identifer | oai:union.ndltd.org:VTETD/oai:vtechworks.lib.vt.edu:10919/52963 |
| Date | 17 June 2015 |
| Creators | Parker, Caitlin Grace |
| Contributors | Philosophy, Mayo, Deborah G., Jantzen, Benjamin C., Patton, Lydia K. |
| Publisher | Virginia Tech |
| Source Sets | Virginia Tech Theses and Dissertation |
| Detected Language | English |
| Type | Thesis |
| Format | ETD, application/pdf |
| Rights | In Copyright, http://rightsstatements.org/vocab/InC/1.0/ |
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