Psychometric Considerations for Conducting Observations Using Time-Sampling Procedures

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Title: Psychometric Considerations for Conducting Observations Using Time-Sampling Procedures
Language: English
Authors: Ferguson, Tyler David, Briesch, Amy M., Volpe, Robert J., Donaldson, Aberdine R., Feinberg, Adam B.
Source: Assessment for Effective Intervention. Dec 2018 44(1):45-57.
Availability: SAGE Publications and Hammill Institute on Disabilities. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com
Peer Reviewed: Y
Page Count: 13
Publication Date: 2018
Document Type: Journal Articles
Information Analyses
Descriptors: Observation, Psychometrics, Student Behavior, Sampling, Intervals, Time
DOI: 10.1177/1534508417747389
ISSN: 1534-5084
Abstract: Time-sampling techniques are popular among school practitioners and researchers alike when conducting observations of student behavior. Despite their popularity, the psychometric properties of such observation data have not received much attention, likely given that both procedures and targets vary widely across individual coding systems. A systematic literature review was therefore conducted to provide insight into how various procedural aspects may influence the psychometric properties of time-sampling data. Specifically, the influences of the number of target behaviors, time-sampling method, interval length, observation length, and number of observations on the psychometric properties of time-sampling data are explored. Both implications for practice and future research are discussed.
Abstractor: As Provided
Number of References: 34
Entry Date: 2018
Accession Number: EJ1196833
Database: ERIC
FullText Text:
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  Data: Psychometric Considerations for Conducting Observations Using Time-Sampling Procedures
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  Data: <searchLink fieldCode="AR" term="%22Ferguson%2C+Tyler+David%22">Ferguson, Tyler David</searchLink><br /><searchLink fieldCode="AR" term="%22Briesch%2C+Amy+M%2E%22">Briesch, Amy M.</searchLink><br /><searchLink fieldCode="AR" term="%22Volpe%2C+Robert+J%2E%22">Volpe, Robert J.</searchLink><br /><searchLink fieldCode="AR" term="%22Donaldson%2C+Aberdine+R%2E%22">Donaldson, Aberdine R.</searchLink><br /><searchLink fieldCode="AR" term="%22Feinberg%2C+Adam+B%2E%22">Feinberg, Adam B.</searchLink>
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  Data: <searchLink fieldCode="SO" term="%22Assessment+for+Effective+Intervention%22"><i>Assessment for Effective Intervention</i></searchLink>. Dec 2018 44(1):45-57.
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  Data: SAGE Publications and Hammill Institute on Disabilities. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com
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  Data: 10.1177/1534508417747389
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  Data: Time-sampling techniques are popular among school practitioners and researchers alike when conducting observations of student behavior. Despite their popularity, the psychometric properties of such observation data have not received much attention, likely given that both procedures and targets vary widely across individual coding systems. A systematic literature review was therefore conducted to provide insight into how various procedural aspects may influence the psychometric properties of time-sampling data. Specifically, the influences of the number of target behaviors, time-sampling method, interval length, observation length, and number of observations on the psychometric properties of time-sampling data are explored. Both implications for practice and future research are discussed.
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  Data: 2018
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