ArticleBehavior analysis in practice2012
Use of discontinuous methods of data collection in behavioral intervention: guidelines for practitioners.
Article in Behavior analysis in practice, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- Evaluating the Feasibility of Methods of Live Data Collection for Sociability Assessments.Behavior analysis in practice · 2026Article
- Wearable Technology to Measure the Occurrence of Self-Injury During a Functional Analysis.Behavior modification · 2026Article
- Early Interventionist-Guided and Parent-Implemented Behavior Support To Reduce Challenging Behaviors of Autistic Children.Journal of autism and developmental disorders · 2025Article
- Perceptions of Machine Learning among Therapists Practicing Applied Behavior Analysis: A National Survey.Behavior analysis in practice · 2024Article
- Procedures and Accuracy of Discontinuous Measurement of Problem Behavior in Common Practice of Applied Behavior Analysis.Behavior analysis in practice · 2020Article
- School's Out for COVID-19: 50 Ways BCBA Trainees in Special Education Settings Can Accrue Independent Fieldwork Experience Hours During the Pandemic.Behavior analysis in practice · 2020Review
- Minimizing and Reporting Momentary Time-Sampling Measurement Error in Single-Case Research.Behavior analysis in practice · 2020Article
- Using Microsoft Excel® to Build a Customized Partial-Interval Data Collection System.Behavior analysis in practice · 2018Article
- Recommended Practices for Individual Supervision of Aspiring Behavior Analysts.Behavior analysis in practice · 2016Article
- A Proposed Model for Selecting Measurement Procedures for the Assessment and Treatment of Problem Behavior.Behavior analysis in practice · 2016Article
- Applied Behavior Analysis is a Science and, Therefore, Progressive.Journal of autism and developmental disorders · 2016Article
- Interval sampling methods and measurement error: a computer simulation.Journal of applied behavior analysis · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Over the past three decades, researchers have examined the sensitivity and accuracy of discontinuous data-collection methods. Momentary-time sampling (MTS) and partial-interval recording (PIR) have received particular attention in regards to their ability to estimate the occurrence of behavior and their sensitivity to behavior change compared to continuous data collection. In this article, we summarize these findings and provide recommendations for designing a discontinuous measurement system with consideration of the dimensions of behavior to be measured and the expected direction of behavior change.
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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.