Matthew Kay, Gregory L. Nelson, & Eric B. Hekler (2016)
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '16), 4521-4532.
DOI: https://doi.org/10.1145/2858036.2858465
Abstract. Kay et al.'s argument that Bayesian methods are a better fit for the iterative, sample-size-constrained nature of HCI research than frequentist NHST. The reference cited in the field's recent move toward Bayesian effect-estimation in mixed-methods studies.
Tags: statistics bayesian hci-methods