Interval sampling methods and measurement error: A computer simulation.
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 dist...
| Publicado en: | Journal of Applied Behavior Analysis (John Wiley & Sons, Inc.) Vol. 47; no. 1; pp. 83 - 101 |
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| Autores principales: | , , |
| Formato: | Journal Article |
| Publicado: |
John Wiley & Sons, Inc.
Spring2014
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=94801958&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 94801958 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00218855 NRNO jtl: Journal of Applied Behavior Analysis (John Wiley & Sons, Inc.) issn: 00218855 maglogo: N pubinfo: dt: Spring2014 vid: 47 iid: 1 pid: 52269 pub: John Wiley & Sons, Inc. artinfo: ui: 94801958 104040223 10.1002/jaba.93 94801958 ppf: 83 ppct: 18 formats: tig: atl: Interval sampling methods and measurement error: A computer simulation. aug: au: Wirth, Oliver Slaven, James Taylor, Matthew A. affil: National Institute for Occupational Safety and Health sug: subj: Computer Simulation Measurement Error Sampling Methods Human Nonexperimental Studies Data Analysis, Statistical Data Collection Methods ab: 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. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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