Literature DB >> 24127380

Interval sampling methods and measurement error: a computer simulation.

Oliver Wirth1, James Slaven, Matthew A Taylor.   

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. © Society for the Experimental Analysis of Behavior.

Entities:  

Keywords:  interval sampling; measurement error; momentary time sampling; observation; observational data; partial-interval recording; simulation; whole-interval recording

Mesh:

Year:  2013        PMID: 24127380      PMCID: PMC4580971          DOI: 10.1002/jaba.93

Source DB:  PubMed          Journal:  J Appl Behav Anal        ISSN: 0021-8855


  17 in total

1.  Comparison of direct observational methods for measuring stereotypic behavior in children with autism spectrum disorders.

Authors:  Nicole Ciotti Gardenier; Rebecca MacDonald; Gina Green
Journal:  Res Dev Disabil       Date:  2004 Mar-Apr

2.  Methods of time sampling: A reappraisal of momentary time sampling and partial interval recording.

Authors:  A Harrop; M Daniels
Journal:  J Appl Behav Anal       Date:  1986

3.  Reappraisal of momentary time sampling and partial-interval recording.

Authors:  H K Suen
Journal:  J Appl Behav Anal       Date:  1991

4.  Momentary time sampling as an estimate of percentage time: A field validation.

Authors:  R A Saudargas; K Zanolli
Journal:  J Appl Behav Anal       Date:  1990

5.  An evaluation of time-sample measures of behavior.

Authors:  J Powell; A Martindale; S Kulp
Journal:  J Appl Behav Anal       Date:  1975

6.  A comparison of momentary time sampling and partial-interval recording for evaluating functional relations.

Authors:  Maeve G Meany-Daboul; Eileen M Roscoe; Jason C Bourret; William H Ahearn
Journal:  J Appl Behav Anal       Date:  2007

7.  Use of discontinuous methods of data collection in behavioral intervention: guidelines for practitioners.

Authors:  Kate Fiske; Lara Delmolino
Journal:  Behav Anal Pract       Date:  2012

8.  Choosing an appropriate sample interval for instantaneous sampling.

Authors:  J Engel
Journal:  Behav Processes       Date:  1996-10       Impact factor: 1.777

9.  Measurement error in direct observations: a comparison of common recording methods.

Authors:  G Murphy; E Goodall
Journal:  Behav Res Ther       Date:  1980

10.  An empirical method for determining an appropriate interval length for recording behavior.

Authors:  R W Sanson-Fisher; A D Poole; J Dunn
Journal:  J Appl Behav Anal       Date:  1980
View more
  5 in total

1.  Using Microsoft Excel® to Build a Customized Partial-Interval Data Collection System.

Authors:  Cody A Morris; Neil Deochand; Stephanie M Peterson
Journal:  Behav Anal Pract       Date:  2018-05-07

2.  A Proposed Model for Selecting Measurement Procedures for the Assessment and Treatment of Problem Behavior.

Authors:  Linda A LeBlanc; Paige B Raetz; Tyra P Sellers; James E Carr
Journal:  Behav Anal Pract       Date:  2015-10-13

3.  Automated Detection of Repetitive Motor Behaviors as an Outcome Measurement in Intellectual and Developmental Disabilities.

Authors:  Kristin H Gilchrist; Meghan Hegarty-Craver; Robert B Christian; Sonia Grego; Ashley C Kies; Anne C Wheeler
Journal:  J Autism Dev Disord       Date:  2018-05

4.  Experimental analysis of using examples and non-examples in safety training.

Authors:  Matthew A Taylor; Oliver Wirth; Marc Olvina; Alicia M Alvero
Journal:  J Safety Res       Date:  2016-10-15

5.  A simulated comparison of behavioural observation sampling methods.

Authors:  James Edward Brereton; Jonathan Tuke; Eduardo J Fernandez
Journal:  Sci Rep       Date:  2022-02-23       Impact factor: 4.379

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.