Presentation
Sample Size Justifications and Open Science Practices in Human Factors (2020-2024)
SessionPoster Session 2
DescriptionLow rates of replicability have prompted large-scale efforts to increase transparency and openness in reporting. Such practices directly impact researchers’ ability to evaluate studies, replicate procedures, and reproduce empirical findings. This study evaluated the prevalence of research transparency practices (e.g., disclosure of sample size determination, preregistration) and research openness (e.g., share of data, code, and stimuli) across all articles published in Human Factors over the last five years. Overall, the majority of articles made no mention of transparency and openness practices. Future initiatives to improve transparency and openness in Human Factors (e.g., adopting formal policies at the journal-level) may be worthwhile.
Contributors
Event Type
Poster
TimeWednesday, October 15th5:30pm - 6:30pm CDT
LocationRiverside East
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