The randomized marker method for single-case randomization tests: Handling data missing at random and data missing not at random

Author:

De Tamal KumarORCID,Onghena Patrick

Publisher

Springer Science and Business Media LLC

Subject

General Psychology,Psychology (miscellaneous),Arts and Humanities (miscellaneous),Developmental and Educational Psychology,Experimental and Cognitive Psychology

Reference57 articles.

1. Adams, D. C., & Anthony, C. D. (1996). Using randomization techniques to analyse behavioural data. Animal Behaviour, 51(4), 733–738. https://doi.org/10.1006/anbe.1996.0077

2. Barlow, D. H., Nock, M. K., & Hersen, M. (2009). Single case experimental designs: Strategies for studying behavior change (3rd ed.). Pearson/Allyn and Bacon.

3. Bouwmeester, S., & Jongerling, J. (2020). Power of a randomization test in a single case multiple baseline AB design. PLoS ONE, 15(2), 1–21. https://doi.org/10.1371/journal.pone.0228355

4. Bulté, I., & Onghena, P. (2008). An R package for single-case randomization tests. Behavior Research Methods, 40(2), 467–478. https://doi.org/10.3758/BRM.40.2.467

5. Busk, P. L., & Marascuilo, L. A. (1988). Autocorrelation in single-subject research: A counterargument to the myth of no autocorrelation. Behavioral Assessment, 10(3), 229–242.

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