2021
DOI: 10.1016/j.jsp.2021.03.003
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Different randomized multiple-baseline models for different situations: A practical guide for single-case intervention researchers

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Cited by 15 publications
(15 citation statements)
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“…Furthermore, two of the four participating data series of the multiple-baseline design were implemented concurrently; all four participating bunks received the intervention sequentially during the summer of 2019, whereas Bunk C and Bunk D implemented the intervention concurrently. The combination of the use of randomization procedures, as well as the concurrent implementation for two of the data series strengthen the internal validity and scientific credibility of this design (Levin & Ferron, 2021).…”
Section: Methodsmentioning
confidence: 92%
See 2 more Smart Citations
“…Furthermore, two of the four participating data series of the multiple-baseline design were implemented concurrently; all four participating bunks received the intervention sequentially during the summer of 2019, whereas Bunk C and Bunk D implemented the intervention concurrently. The combination of the use of randomization procedures, as well as the concurrent implementation for two of the data series strengthen the internal validity and scientific credibility of this design (Levin & Ferron, 2021).…”
Section: Methodsmentioning
confidence: 92%
“…Although a concurrent design can better establish a functional relation, a nonconcurrent multiple-baseline design is particularly useful for field-based research where other designs may not be possible (Carr, 2005). To address limitations of the research design, the researchers used case randomization and intervention randomization (Levin & Ferron, 2021); the researchers determined a priori the baseline duration for each series and randomly assigned bunks to each series upon recruitment (Watson & Workman, 1981). Furthermore, two of the four participating data series of the multiple-baseline design were implemented concurrently; all four participating bunks received the intervention sequentially during the summer of 2019, whereas Bunk C and Bunk D implemented the intervention concurrently.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Carr (2005) argued that the nonconcurrent variation of the design allows for replication, but not "verification", of the intervention effect, a primary characteristic of the conventional multiple-baseline design. In contrast, Levin and Ferron (2021) contended that: (1) differentiating between concurrent and nonconcurrent MBDs is not always a cut-and-dried process; and (2) with comparable forms of relevant randomization built into the two designs, unwanted internal-validity-confounding variables are comparably controlled. Slocum et al (2022) have recently noted that three primary threats to internal validity must be addressed in MBDs, namely, Campbell and Stanley's (1966) "maturation" (including practice and fatigue effects), testing and session experience, and coincidental events (primarily "history" effects).…”
Section: Nonconcurrent Mbdmentioning
confidence: 99%
“…The ICN's resources webpage provides lists of useful guidelines, books, websites, analysis resources, e-courses, literature reviews, and special journal issues that cover various aspects of the design, conduct, and analysis of SCDs ( www.nof1sced.org/resources ). Several members of the ICN have published accessible “how-to” guides [ 57 , 58 ] and tutorial papers [ [59] , [60] , [61] ] to foster increased knowledge and skills in relation to the design and analysis of various types of SCDs. The ICN also offers an advice service to answer specific queries about how to design, conduct, and analyse SCDs.…”
Section: Introductionmentioning
confidence: 99%