Academic Journal
Four Methods for Analyzing Partial Interval Recording Data, with Application to Single-Case Research.
| Title: | Four Methods for Analyzing Partial Interval Recording Data, with Application to Single-Case Research. |
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| Authors: | Pustejovsky JE; a Department of Educational Psychology , The University of Texas at Austin., Swan DM; a Department of Educational Psychology , The University of Texas at Austin. |
| Source: | Multivariate behavioral research [Multivariate Behav Res] 2015; Vol. 50 (3), pp. 365-80. |
| Publication Type: | Journal Article |
| Language: | English |
| Journal Info: | Publisher: Taylor & Francis Group Country of Publication: United States NLM ID: 0046052 Publication Model: Print Cited Medium: Internet ISSN: 1532-7906 (Electronic) Linking ISSN: 00273171 NLM ISO Abbreviation: Multivariate Behav Res Subsets: MEDLINE |
| Imprint Name(s): | Publication: <2009- > : Philadelphia, PA : Taylor & Francis Group Original Publication: Fort Worth, Tex. : Society of Multivariate Experimental Psychology |
| MeSH Terms: | Behavioral Research* , Models, Statistical*, Computer Simulation ; Humans ; Time Factors |
| Abstract: | Partial interval recording (PIR) is a procedure for collecting measurements during direct observation of behavior. It is used in several areas of educational and psychological research, particularly in connection with single-case research. Measurements collected using partial interval recording suffer from construct invalidity because they are not readily interpretable in terms of the underlying characteristics of the behavior. Using an alternating renewal process model for the behavior under observation, we demonstrate that ignoring the construct invalidity of PIR data can produce misleading inferences, such as inferring that an intervention reduces the prevalence of an undesirable behavior when in fact it has the opposite effect. We then propose four different methods for analyzing PIR summary measurements, each of which can be used to draw inferences about interpretable behavioral parameters. We demonstrate the methods by applying them to data from two single-case studies of problem behavior. |
| Entry Date(s): | Date Created: 20151127 Date Completed: 20161111 Latest Revision: 20161230 |
| Update Code: | 20260130 |
| DOI: | 10.1080/00273171.2015.1014879 |
| PMID: | 26610035 |
| Database: | MEDLINE |
| ISSN: | 1532-7906 |
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| DOI: | 10.1080/00273171.2015.1014879 |