Getting the best out of single case data

Leppink, Jimmie

Publication:
Getting the best out of single case data

dc.contributor.author	Leppink, Jimmie
dc.contributor.department	Sin departamento asociado
dc.date.accessioned	2026-02-04T19:32:10Z
dc.date.available	2026-02-04T19:32:10Z
dc.date.issued	2025
dc.description.abstract	Given its potential for personalized healthcare and education, single case designs(SCDs) (1-4) – in which the same cases are measured repeatedly on the same outcome(s) ofinterest – has enjoyed increasing interest over time. In a publication in Volume 3 of thisjournal (5), three key statistical methods for SCDs are compared and contrasted:randomization tests (4), the Bayesian percentage of all non-overlapping data or PAND-B (5),and a time series regression (TSR) method (5). Although PAND-B is the only of thesemethods that allows for the incorporation of knowledge from theory or previous researchand does not require frequently violated assumptions that invalidate TSR (5), recent work(6) demonstrates that PAND-B does not fully account for order information in ordinal orquantitative outcomes (e.g., ‘3’ is not only different from ‘1’ or ‘2’; ‘3’ is also higher than ‘2’,and ‘2’ is higher than ‘1’) and returns invalid estimates when the two conditions comparedhave unequal sample sizes. To address these shortcomings while retaining the benefits ofbeing useful for all levels of measurement including nominal (e.g., different shoe colors orqualitatively different emotions that cannot undisputedly be categorized on a dimensionlike ‘better’ or ‘worse’) and incorporating knowledge from theory or previous research, ageneralized relative effect (GRE) statistic was developed (6), which is based on Brunner-Munzel’s relative effect (RE) statistic (7). Although the GRE introductory paper provides astep-by-step tutorial for how to obtain GRE point and interval estimates with basic R (8)code and interpret the outcomes, that paper focuses on two larger samples of participants.Therefore, the remainder of this paper uses the data from the aforementioned publicationin Volume 3 of this journal (5) to provide an example of GRE in a single context.
dc.format	application/pdf
dc.format.extent	3
dc.identifier.citation	Leppink, J. (2025). Aprovechar al máximo los datos de casos únicos. Revista Española De Educación Médica, 6(3). https://doi.org/10.6018/edumed.664271
dc.identifier.doi	https://doi.org/10.6018/edumed.664271
dc.identifier.eissn	2660-8529
dc.identifier.uri	http://hdl.handle.net/10201/199429
dc.language	eng
dc.publisher	Universidad de Murcia: servicio de publicaciones
dc.relation	Sin financiación externa a la Universidad
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 International	*
dc.rights.accessRights	info:eu-repo/semantics/openAccess
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.subject.ods	No relacionado con ningún objetivo de desarrollo sostenible
dc.title	Getting the best out of single case data
dc.title.alternative	Aprovechar al máximo los datos de casos únicos
dc.type	info:eu-repo/semantics/article
dspace.entity.type	Publication	es