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dc.contributor.advisorEklund, Katieen
dc.contributor.authorTanner, Nicholas Andrew
dc.creatorTanner, Nicholas Andrewen
dc.date.accessioned2017-08-24T18:32:27Z
dc.date.available2017-08-24T18:32:27Z
dc.date.issued2017
dc.identifier.urihttp://hdl.handle.net/10150/625352
dc.description.abstractData derived from universal screening procedures are increasingly utilized by schools to identify and provide additional supports to students at-risk of behavioral and emotional concerns. As screening has the potential to be resource intensive, effort has been placed on the development of efficient screening procedures, namely brief behavior rating scales. This study utilized classical test theory and generalizability theory to examine the extent to which differences among students, raters, occasions, and screening measures affect the meaningfulness of data derived from universal screening procedures. Teacher pairs from three middle school classrooms completed two brief behavior rating scales during fall and spring screening administrations for all students in their respective classrooms. Correlation coefficients examining interrater reliability, test-retest reliability, and concurrent validity were generally strong. Generalizability analyses indicated that the majority of variance in teacher ratings were attributable to student differences across all score comparisons, but differences between teacher ratings for particular students accounted for relatively large percentages of error variance among student behavior ratings. Although decision studies showed that increasing the number of screening occasions resulted in more generalizable data, the impact of increasing the number of raters resulted in more efficient screening procedures.
dc.language.isoen_USen
dc.publisherThe University of Arizona.en
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en
dc.subjectBehavior rating scaleen
dc.subjectEarly identificationen
dc.subjectGeneralizability Theoryen
dc.subjectReliabilityen
dc.subjectScreeningen
dc.subjectUniversal Screeningen
dc.titleGeneralizability of Universal Screening Measures for Behavioral and Emotional Risken_US
dc.typetexten
dc.typeElectronic Dissertationen
thesis.degree.grantorUniversity of Arizonaen
thesis.degree.leveldoctoralen
dc.contributor.committeememberEklund, Katieen
dc.contributor.committeememberPerfect, Michelleen
dc.contributor.committeememberKirkpatrick, Jenniferen
dc.contributor.committeememberKilgus, Stephenen
thesis.degree.disciplineGraduate Collegeen
thesis.degree.disciplineSchool Psychologyen
thesis.degree.namePh.D.en
refterms.dateFOA2018-06-18T21:49:12Z
html.description.abstractData derived from universal screening procedures are increasingly utilized by schools to identify and provide additional supports to students at-risk of behavioral and emotional concerns. As screening has the potential to be resource intensive, effort has been placed on the development of efficient screening procedures, namely brief behavior rating scales. This study utilized classical test theory and generalizability theory to examine the extent to which differences among students, raters, occasions, and screening measures affect the meaningfulness of data derived from universal screening procedures. Teacher pairs from three middle school classrooms completed two brief behavior rating scales during fall and spring screening administrations for all students in their respective classrooms. Correlation coefficients examining interrater reliability, test-retest reliability, and concurrent validity were generally strong. Generalizability analyses indicated that the majority of variance in teacher ratings were attributable to student differences across all score comparisons, but differences between teacher ratings for particular students accounted for relatively large percentages of error variance among student behavior ratings. Although decision studies showed that increasing the number of screening occasions resulted in more generalizable data, the impact of increasing the number of raters resulted in more efficient screening procedures.


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