ArticleBehavior analysis in practice2022
Graphing the Intersection of Rate and Fidelity in Single-Case Research.
Article in Behavior analysis in practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
0 citing papers in PubMed.
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Authors and funding
4 authors.
Funding
Abstract
Single-case research is a prevalent and useful method for evaluating the effects of interventions in special education research. A single-case graph "should make available all of the data that permit evaluation of the criteria for visual inspection, at the very least," while not misleading inspectors (Kazdin, 2011, p. 335). Although this is widely known, it poses challenges for multifaceted dependent variables, such as those that address both rate and a measure of quality, such as fidelity. Both factors may be important to accurately interpret intervention effects, such as those within cascading interventions implemented by natural change agents. However, representing both in a single graph is challenging. In response to this challenge, we present a single data set from a multiple-baseline design graphed in six distinct formats. Across these graphs, we discuss implications for visual analysis and interpretation and invite discussion of this important area of single-case research in search of recommendations for best practice.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.