(1/2) New ggsced post! This one provides a guide showing how the latest helper functionality simplifies adding text annotations to SCED figures. Totally not required by any means, but ... https://bit.ly/4xrHOCw

(1/2) For folks reacting to OSF freezing the creation of new projects in the future, just a reminder that you can still archive via GitHub and mint DOIs freely using other related services (e.g., Zenodo). Been doing that for a while and ... https://bit.ly/4grHxty

ggsced package update (0.1.9 on CRAN). Folks generally drop legends in SCED and prefer text/arrows (which can be a pain in ggplot). New helpers, easier syntax, less code. Clinician- & researcher-relevant. https://bit.ly/4wtc3ZV

New ggsced post! This one reviewing support for preventing overlapped dog-leg phase change lines in complex multiple baselines. Should be able to support ~100% of multiple baseline designs in R at the point. Student/researcher relevant. Source provided. https://bit.ly/4bhNMNM

(Thread 1/2) More in the ggsced series - Guidance and instructions for drawing ggplot figures and rendering pixel-perfect phase change lines across facets. Historically, this was the main reason why you couldn't work inclusively with SCED in the R ecosystem, unless ... https://bit.ly/4wtc3ZV

2nd post available in updated ggsced series -- Designing axis breaks in ggplot to satisfy JABA/JEAB conventions. An often overlooked feature that causes a lot of grief in the final publication stages. Code available. Research/practice relevant. bit.ly/4vhYk6u

Thread (1/2) Really excited to see this one finally come out. Credit/thanks to Nate Stevenson, Corey Peltier, and the rest of the crew for organizing. Really underscores just how much heterogeneity there is in visual analysis (even more so for quantitative complements) and ... bit.ly/4hkd5SZ

Crowdsourced Analysis of Single-Case Experimental Design Data

Replicable data analysis procedures are a cornerstone of empirical scientific research. Data from single-case experimental designs (SCEDs) are typically analyzed using visual and/or quantitative…

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Newer post -- Introducing R users to the ggsced package and how it works with ggplot to let you draw beautiful multiple baseline designs in R. Mostly helpful for students/researchers coming into their own with R. Code available in git and post.

Review of ggsced R Package

This post provides and introduction and general overview of the ggsced package and how ggplot objects can be made more consistent with historical single-case design visualizations

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Another late update to share: Some interesting ideas and tools for quantifying reinforcer effects. Reinforcement Learning can flip the script--better questions=simpler comparisons

Adaptive purchase tasks in the operant demand framework

Various avenues exist for quantifying the effects of reinforcers on behavior. Numerous nonlinear models derived from the framework of Hursh and Silberberg (2008) are often applied to elucidate key…

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More development and simplification of the ggsced package in R, firming up a short series of posts to help folks (teachers, students, etc.) leverage their ggplot skills to build beautiful multiple-base visuals.

ggsced R Package | Gilroy Lab @ LSU

Documentation and Guides for ggsced R Package

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A bit late with this one, but excited to see more interest in building consensus regarding what constitutes clear, transparent, and rigorous reviews of SCED literature. Preprint available.

Recommendations and guidance for enhancing systematic reviews of single-case experimental design research

Systematic reviews based on single-case experimental designs (SCED) are increasingly common in the scientific literature. However, researchers reviewing SCED research may employ varying approaches…

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