Abstract
Applied researchers are often forced to test an uninteresting (and unrealistic) hypothesis: that the mean difference between groups is zero in some imagined population. Misinterpretation of these common null hypothesis tests often obscure actual findings, and the testing process itself can result in inflated estimates over time. In this paper, we demonstrate the use of freely available software to conduct Bayesian hypothesis tests on ENA findings, in addition to traditional null hypothesis testing.
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Shane Tutwiler, M. (2019). Post-hoc Bayesian Hypothesis Tests in Epistemic Network Analyses. In: Eagan, B., Misfeldt, M., Siebert-Evenstone, A. (eds) Advances in Quantitative Ethnography. ICQE 2019. Communications in Computer and Information Science, vol 1112. Springer, Cham. https://doi.org/10.1007/978-3-030-33232-7_31
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DOI: https://doi.org/10.1007/978-3-030-33232-7_31
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