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 |
| 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. |
|---|---|
| ISSN: | 1534-5084 |
| DOI: | 10.1177/1534508417747389 |
