A data-based method for selecting parameters of momentary time sampling to provide representative data

Allbwn ymchwil: Cyfraniad at gyfnodolynErthygladolygiad gan gymheiriaid

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A data-based method for selecting parameters of momentary time sampling to provide representative data. / Sharp, Rebecca; Mudford, Oliver; Elliffe, Douglas.
Yn: European Journal of Behavior Analysis, Cyfrol 16, Rhif 2, 02.09.2015, t. 279-294.

Allbwn ymchwil: Cyfraniad at gyfnodolynErthygladolygiad gan gymheiriaid

HarvardHarvard

Sharp, R, Mudford, O & Elliffe, D 2015, 'A data-based method for selecting parameters of momentary time sampling to provide representative data', European Journal of Behavior Analysis, cyfrol. 16, rhif 2, tt. 279-294. https://doi.org/10.1080/15021149.2015.1083294

APA

Sharp, R., Mudford, O., & Elliffe, D. (2015). A data-based method for selecting parameters of momentary time sampling to provide representative data. European Journal of Behavior Analysis, 16(2), 279-294. https://doi.org/10.1080/15021149.2015.1083294

CBE

MLA

Sharp, Rebecca, Oliver Mudford a Douglas Elliffe. "A data-based method for selecting parameters of momentary time sampling to provide representative data". European Journal of Behavior Analysis. 2015, 16(2). 279-294. https://doi.org/10.1080/15021149.2015.1083294

VancouverVancouver

Sharp R, Mudford O, Elliffe D. A data-based method for selecting parameters of momentary time sampling to provide representative data. European Journal of Behavior Analysis. 2015 Medi 2;16(2):279-294. doi: 10.1080/15021149.2015.1083294

Author

Sharp, Rebecca ; Mudford, Oliver ; Elliffe, Douglas. / A data-based method for selecting parameters of momentary time sampling to provide representative data. Yn: European Journal of Behavior Analysis. 2015 ; Cyfrol 16, Rhif 2. tt. 279-294.

RIS

TY - JOUR

T1 - A data-based method for selecting parameters of momentary time sampling to provide representative data

AU - Sharp, Rebecca

AU - Mudford, Oliver

AU - Elliffe, Douglas

PY - 2015/9/2

Y1 - 2015/9/2

N2 - The behavioural literature on representativeness is able to provide general rules for selecting representative measurement systems. For example, using shorter intervals between observations will, in general, produce more representative samples. However, applied behaviour analysis would benefit from a data-based method of choosing a measurement system based on estimated duration of behaviour, desired representativeness (i.e., acceptable error), and the parameters of a measurement system likely to be practical in a clinical setting. Computer simulations were used to evaluate the effect of varying overall and bout durations on the representativeness of samples extracted using simulated momentary time sampling (MTS). A set of decision rules, in the form of 3D graphs, from which practitioners could select parameters of MTS, based on estimates of the dimensions of the behaviour (bout duration and overall duration) and acceptable error, were developed. The decision rules were applied to whole-week data sets obtained in a prior study to test their use with naturalistic data.

AB - The behavioural literature on representativeness is able to provide general rules for selecting representative measurement systems. For example, using shorter intervals between observations will, in general, produce more representative samples. However, applied behaviour analysis would benefit from a data-based method of choosing a measurement system based on estimated duration of behaviour, desired representativeness (i.e., acceptable error), and the parameters of a measurement system likely to be practical in a clinical setting. Computer simulations were used to evaluate the effect of varying overall and bout durations on the representativeness of samples extracted using simulated momentary time sampling (MTS). A set of decision rules, in the form of 3D graphs, from which practitioners could select parameters of MTS, based on estimates of the dimensions of the behaviour (bout duration and overall duration) and acceptable error, were developed. The decision rules were applied to whole-week data sets obtained in a prior study to test their use with naturalistic data.

KW - representativeness

KW - observational recording

KW - momentary time sampling

KW - duration

U2 - 10.1080/15021149.2015.1083294

DO - 10.1080/15021149.2015.1083294

M3 - Article

VL - 16

SP - 279

EP - 294

JO - European Journal of Behavior Analysis

JF - European Journal of Behavior Analysis

SN - 1502-1149

IS - 2

ER -