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Where can scd researchers go for tier 3 supports in using and understanding stats for single case?

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Authors struggle with knowing the important features to make decisions (outcome measurement, outcome data type, within or between case, AB comparisons) 

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Authors struggle with knowing the important features to make decisions (outcome measurement, outcome data type, within or between case, AB comparisons) 

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Authors do not delineate between what is a measure of magnitude or model of the magnitude, rather than measures of nonoverlap that do not include variability components required for the concept of magnitude 

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Authors do not delineate between what is a measure of magnitude or model of the magnitude, rather than measures of nonoverlap that do not include variability components required for the concept of magnitude 

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Authors do not have an understanding of the importance of the unit of analysis 

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Authors do not have an understanding of the importance of the unit of analysis 

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It doesn't always feel useful to include stats in a single study.

When we want to include stats, it's not always clear how to use stats and visual analysis and visual analysis together.

There's no funding to get help when we're looking for it.

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PoGO

Fine grained effect sizes

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We need clarity in the field that many models or indices may have known limitations or the index distributions do not exist to interpret data 

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We need clarity in the field that many models or indices may have known limitations or the index distributions do not exist to interpret data 

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Nondiscriminating or incorrect use of various stat analyses, esp. non-overlap procedures despite some existing guidelines.

Using stat analyses to overcome unclear functional relations.

We see some improvements in the variety of analyses and their inclusion.

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Just starting to learn statistics; not enough people with the expertise to be able to teach classes and prepare students to use statistical analysis

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A lack of clarity about the appropriateness of particular methods

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A lack of clarity about the appropriateness of particular methods

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People use nonoverlap effects that I think aren't very good.

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People use nonoverlap effects that I think aren't very good.

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Not having background knowledge about statistics to be able to appropriately select an analytic method

Keeping up with new developments in field

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Default use of PND and Tau-U

Journal mandated use of specific metrics without recognizing purpose

Reviewers without knowledge of the statistical analysis

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A student considered survival analysis for SCD time to treatment effect 

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A student considered survival analysis for SCD time to treatment effect 

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Lack of reviewers and associate editors with sufficient expertise, and single case, design and stats

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Lack of reviewers and associate editors with sufficient expertise, and single case, design and stats

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I rely on collaborators to make up for my difficulties in doing the analyses in R myself. There’s so few of you, at times it feels like we need to be respectful of your time 

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I rely on collaborators to make up for my difficulties in doing the analyses in R myself. There’s so few of you, at times it feels like we need to be respectful of your time 

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ensuring consistent alignment between the study/data set and the relevant/recent standards 

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ensuring consistent alignment between the study/data set and the relevant/recent standards 

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Reviewer feedback may not be representative of existing best practices or emerging consensus regarding time series data

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A statistician provides two guest lectures in a doc level research method class, and the students always leave inspired by the ways stats could enhance SCD, but they do not have sufficient opportunity or confidence to use the strategies discussed.

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A statistician provides two guest lectures in a doc level research method class, and the students always leave inspired by the ways stats could enhance SCD, but they do not have sufficient opportunity or confidence to use the strategies discussed.

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Lack of training in any of my graduate programs

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We need to build fluency in R so we can grab the packages from GitHub and then know what to do. We know where to look and know the authors to follow, but get stuck trying to work in R. 

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We need to build fluency in R so we can grab the packages from GitHub and then know what to do. We know where to look and know the authors to follow, but get stuck trying to work in R. 

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No satisfactory way to account for trend when using single case effect sizes

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I do not know the situations or types of data sets the occasion a researcher to select one analysis/test compared to another 

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I do not know the situations or types of data sets the occasion a researcher to select one analysis/test compared to another 

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I struggle with having to correct things as an editor or AE when reviewers say something incorrect. 

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I struggle with having to correct things as an editor or AE when reviewers say something incorrect. 

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If our intent is for our research to be relevant & accessible for the populations we serve (behavior analysts, special education teachers, etc.), then we have to be mindful of their ability to understand the outcomes of statistical analysis and how they may apply to their practice. How relevant is it for practitioners? Will the "jargon" act as another barrier for accessing research? 

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If our intent is for our research to be relevant & accessible for the populations we serve (behavior analysts, special education teachers, etc.), then we have to be mindful of their ability to understand the outcomes of statistical analysis and how they may apply to their practice. How relevant is it for practitioners? Will the "jargon" act as another barrier for accessing research? 

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The knowledge to evaluate indices or procedures is limited to a small number of folks. It feels like gate keeping that only a small handful of folks have the expertise. We don’t want to gate keep.

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Insufficient funding for statistical consult

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Insufficient funding for statistical consult

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Lack of training in graduate programs. Finding the right analysis for the data set.

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Lack of training in graduate programs. Finding the right analysis for the data set.

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Lack of training on statistics in doctoral training programs

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Have you seen any applications of statistical analysis that you found especially compelling? Have you learned about any statistical methodology work that you find exciting or compelling?

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What challenges or limitations are you running into in applying statistical analysis that you think could potentially enhance your work?

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What common problems are you seeing in manuscript review with respect to statistical analysis and reporting? Have you noticed any improvements in application of statistical analysis?