2021
DOI: 10.1177/0741932521996452
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Open Science and Single-Case Design Research

Abstract: Research indicating many study results do not replicate has raised questions about the credibility of science and prompted concerns about a potential reproducibility crisis. Moreover, most published research is not freely accessible, which limits the potential impact of science. Open science, which aims to make the research process more open and reproducible, has been proposed as one approach to increase the credibility and impact of scientific research. Although relatively little attention has been paid to op… Show more

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Cited by 13 publications
(15 citation statements)
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References 68 publications
(88 reference statements)
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“…Mean IRR was 99.39% for if the study incorporated structured visual analysis and 100% for the type of tool that was used in the study. In an effort toward opensource behavior science (Hales et al, 2019; Hantula, 2019) and opensource SCED (Cook et al, 2021), supplemental materials are available and stored on the Open Science Framework (OSF; see Dowdy, Jessel, et al, 2021).…”
Section: Methodsmentioning
confidence: 99%
“…Mean IRR was 99.39% for if the study incorporated structured visual analysis and 100% for the type of tool that was used in the study. In an effort toward opensource behavior science (Hales et al, 2019; Hantula, 2019) and opensource SCED (Cook et al, 2021), supplemental materials are available and stored on the Open Science Framework (OSF; see Dowdy, Jessel, et al, 2021).…”
Section: Methodsmentioning
confidence: 99%
“…In order to maintain comparability with these other studies, we would recommend calculating a BC-SMD effect size for the clustered multiple baseline design that does not include school-level variance. Regardless of which variance components are used in the effect size, improvements in open data practices (Cook et al, 2021;Ledford et al, 2022) would facilitate effect size calculations for clustered multiple baseline designs.…”
Section: Defining Effect Sizesmentioning
confidence: 99%
“…Thus, the true extent of publication bias remains difficult to gauge. Effectively mitigating the inferential threat posed by publication bias may require changes in journal publication practices (Kittelman et al, 2018) and wider adoption of pre-registration and registered reports of single-case research (Johnson & Cook, 2019;Cook et al, 2021).…”
Section: Limitations and Future Researchmentioning
confidence: 99%