scholarly journals Randomization tests for single-case experiments: State of the art, state of the science, and state of the application

2014 ◽  
Vol 3 (1) ◽  
pp. 51-64 ◽  
Author(s):  
Mieke Heyvaert ◽  
Patrick Onghena
2017 ◽  
Vol 27 (0) ◽  
pp. 19 ◽  
Author(s):  
Parichehr Hassanzadeh ◽  
Fatemeh Atyabi ◽  
Rassoul Dinarvand

1994 ◽  
Vol 26 (3) ◽  
pp. 369-369 ◽  
Author(s):  
Patrick Onghena ◽  
Geert van Damme

2019 ◽  
Vol 86 (4) ◽  
pp. 355-373
Author(s):  
Youjia Hua ◽  
Michelle Hinzman ◽  
Chengan Yuan ◽  
Kinga Balint Langel

An emerging body of research suggests that incorporating randomization schemes in single-case research designs strengthens study internal validity and data evaluation. The purpose of this study was to test the utility and feasibility of a randomized alternating-treatment design in an investigation that compared the combined effects of vocabulary instruction and the paraphrasing strategies on expository comprehension of six students with reading difficulties. We analyzed the data using three types of randomization tests as well as visual analysis. The visual analysis and randomization tests confirmed the additional benefit of vocabulary instruction on expository comprehension for one student. However, the effects were not replicated across the other five students. We found that proper randomization schemes can improve both internal validity and data analysis strategies of the alternating-treatment design.


2005 ◽  
Vol 73 (2) ◽  
pp. 140-160 ◽  
Author(s):  
Vicenta Sierra ◽  
Antonio Solanas ◽  
Quera Vicenç

2017 ◽  
Vol 56 (06) ◽  
pp. 427-436 ◽  
Author(s):  
Dori Rosenberg ◽  
Elyse Kadokura ◽  
Margaret Morris ◽  
Anne Renz ◽  
Roger Vilardaga

SummaryBackground: Frequent breaks from sitting could improve health. Many commercially available fitness trackers deliver vibration alerts that could be used to cue sitting breaks. As a potentially pragmatic approach to promote frequent breaks from sitting, we tested the efficacy of inactivity alerts among obese older adults, a highly sedentary population.Methods: We conducted 10 sequential N-of-1 (single-case) experimental ABA trials. Participants (mean age = 68, mean BMI = 35) were monitored for a baseline phase (“A1”) followed by an intervention phase (“B”). The intervention was then removed and participants were monitored to test an experimental effect (reversal “A2” phase). Total time in the study was limited to 25 days. During the intervention phase (“B”), participants used fitness trackers to stand up or move every time they received an alert (every 15 or 20 minutes of inactivity). Participants wore activPAL devices to measure breaks from sitting each day. Randomization tests were used to determine whether the number of breaks was significantly higher during the “B” phase than the two “A” phases.Results: Breaks were higher by 7.2 breaks per day during the “B” phase compared to the mean of the “A” phases. Seven out of 10 participants had more sitting breaks during the intervention phase which subsequently decreased during the reversal “A2” phase (combined p-value < .05).Conclusion: Inactivity alert features within commercially available devices are efficacious for promoting modest improvements in breaks from sitting among older adults with obesity and could be a simple health-promoting strategy in this population.


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