Conteúdo indexado
The use of mixed modeling to evaluate the impact of treatment integrity on learning
2020 · Behavioral Interventions; v. 35; n. 3; p. 372-391; Fonte: Wiley
Dados principais
- Ano de publicação
- 2020
- Dados editoriais
- Behavioral Interventions; v. 35; n. 3; p. 372-391; Fonte: Wiley
- Palavras-chave
- BEHAVIORAL-INTERVENTIONS; análise do comportamento
- DOI
- 10.1002/bin.1718
Autores
- Summer Bottini ORCID: 0000-0003-2462-8719
- Hannah Morton
- Jennifer Gillis
- Raymond Romanczyk
Resumo
Treatment integrity, or the degree to which an intervention is implemented as intended, is a critical feature of skill acquisition tasks. Single‐case design consistently demonstrates that low treatment integrity slows or inhibits learning, but the relative impact of different types of instructional errors, or the presence of multiple errors, is less clear. The present study utilized a multilevel modeling approach to evaluate the impact of type of error (omission versus omission and commission) and error component (reinforcer delivery versus feedback) on learning. Findings revealed that learning outcomes worsened based on the type of error and as the complexity of errors increased; more specifically, participants performed better when only a single type of error occurred and when only a single error component was manipulated. Additionally, individual characteristics contributed to learning outcomes, highlighting the use of multilevel modeling as a helpful tool to supplement single‐case design. The differential impact of integrity errors on learning may be due to timing of errors (i.e., commission errors more likely to occur early in learning) or how errors affect reinforcement schedule versus discriminative control.