ArticleJournal of applied behavior analysis2014
Interval sampling methods and measurement error: a computer simulation.
Article in Journal of applied behavior analysis, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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
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.
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Who cites it
8 citing papers in PubMed.
- Investigating Stress and Coping Behaviors in African Green Monkeys (Veterinary sciences · 2025Article
- A simulated comparison of behavioural observation sampling methods.Scientific reports · 2022Article
- Procedures and Accuracy of Discontinuous Measurement of Problem Behavior in Common Practice of Applied Behavior Analysis.Behavior analysis in practice · 2020Article
- 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
- Automated Detection of Repetitive Motor Behaviors as an Outcome Measurement in Intellectual and Developmental Disabilities.Journal of autism and developmental disorders · 2018Article
- Experimental analysis of using examples and non-examples in safety training.Journal of safety research · 2016Article
- A Proposed Model for Selecting Measurement Procedures for the Assessment and Treatment of Problem Behavior.Behavior analysis in practice · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
A simulation study was conducted to provide a more thorough account of measurement error associated with interval sampling methods. A computer program simulated the application of momentary time sampling, partial-interval recording, and whole-interval recording methods on target events randomly distributed across an observation period. The simulation yielded measures of error for multiple combinations of observation period, interval duration, event duration, and cumulative event duration. The simulations were conducted up to 100 times to yield measures of error variability. Although the present simulation confirmed some previously reported characteristics of interval sampling methods, it also revealed many new findings that pertain to each method's inherent strengths and weaknesses. The analysis and resulting error tables can help guide the selection of the most appropriate sampling method for observation-based behavioral assessments.
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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.