ArticleBehavior analysis in practice2020
Procedures and Accuracy of Discontinuous Measurement of Problem Behavior in Common Practice of Applied Behavior Analysis.
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 6 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.
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Who cites it
6 citing papers in PubMed, 19 citations in OpenAlex.
- Evaluating the Feasibility of Methods of Live Data Collection for Sociability Assessments.Behavior analysis in practice · 2026Article
- Ins and Outs of Applied Behavior Analysis (ABA) Intervention in Promoting Social Communicative Abilities and Theory of Mind in Children and Adolescents with ASD: A Systematic Review.Behavioral sciences (Basel, Switzerland) · 2025Review
- Perceptions of Machine Learning among Therapists Practicing Applied Behavior Analysis: A National Survey.Behavior analysis in practice · 2024Article
- Comparative Effects of Applied Behavior Analysis on Male and Female Individuals With Autism Spectrum Disorder.Cureus · 2024Article
- Article
- Artificial intelligence for the measurement of vocal stereotypy.Journal of the experimental analysis of behavior · 2020Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Discontinuous measurement involves dividing an observation into intervals and recording whether a behavior occurred during some or all of each interval (i.e., interval recording) or at the exact time of observation (i.e., momentary time sampling; MTS). Collecting discontinuous data is often easier for observers than collecting continuous data, but it also produces more measurement error. Smaller intervals (e.g., 5 s, 10 s, 15 s) tend to produce less error but may not be used in everyday practice. This study examined the most common intervals used by a large sample of data collectors and evaluated the effect of these intervals on measurement error. The most commonly used intervals fell between 2 and 5 min. We then analyzed over 800 sessions to evaluate the correspondence between continuous and discontinuous data at each commonly used interval. Intervals of 3 min or less produced the greatest correspondence, and MTS outperformed interval recording.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.