ArticleBehavior analysis in practice2020
Minimizing and Reporting Momentary Time-Sampling Measurement Error in Single-Case Research.
Article in Behavior analysis in practice, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
3 citing papers in PubMed.
- Empowering and Educating Parents to Implement a Home Intervention: Effects on Preschool Children's Engagement in Hands-on Constructive Play.Behavioral sciences (Basel, Switzerland) · 2024Article
- Does the choice of a linear trend-assessment technique matter in the context of single-case data?Behavior research methods · 2023Article
- A Priori Justification for Effect Measures in Single-Case Experimental Designs.Perspectives on behavior science · 2022Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Research indicates that momentary time sampling (MTS) is often the best interval-measurement system when observing duration of behavior. Several recent studies recommended considering mean duration of target behavior, as well as durations of measurement intervals and observation sessions, to minimize measurement error in MTS. This report describes the steps we used to minimize measurement error in a single-case design research study. Further, we detail our methods for monitoring and reporting MTS measurement error across conditions by intermittently collecting and analyzing duration per occurrence measurements.
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Registered trials
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