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Using Systematic Screening Data to Assess Risk and Identify Students for Targeted Supports: Illustrations Across the K-12 Continuum.

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Title: Using Systematic Screening Data to Assess Risk and Identify Students for Targeted Supports: Illustrations Across the K-12 Continuum.
Authors: Lane, Kathleen Lynne, Kalberg, Jemma Robertson, Menzies, Holly, Bruhn, Allison, Eisner, Shanna, Crnobori, Mary
Source: Remedial & Special Education. 01/01/2011, Vol. 32 Issue 1, p39-54. 16p.
Subjects: Problem youth, Behavior modification, Behavioral assessment of children, Systematic Screening for Behavior Disorders, Data analysis, Educational intervention, Youth services
Abstract: In this article the authors provide practitioners and researchers with three illustrations of how to use systematic screening tools within the context of three-tiered models of support to (a) measure the overall level of risk present in a school over time and (b) identify students who may require more targeted supports in the form of secondary and tertiary prevention efforts. Specifically, the authors explore data-driven approaches to interpreting systematic screening data collected as part of regular school practices at the high, middle, and elementary school levels. In each illustration they describe the student population, the procedures used by each school to construct the three-tiered model, the primary prevention plan developed, the systematic screening tool incorporated into regular school practices, and the data analysis plan. Furthermore, the authors offer findings of treatment outcome studies that demonstrate how student risk shifts over time following program implementation. They also include hypothetical and actual illustrations of how to use data from a variety of screening tools to identify students for secondary and tertiary prevention efforts. [ABSTRACT FROM PUBLISHER]
Copyright of Remedial & Special Education is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Using Systematic Screening Data to Assess Risk and Identify Students for Targeted Supports: Illustrations Across the K-12 Continuum.
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  Data: <searchLink fieldCode="JN" term="%22Remedial+%26+Special+Education%22">Remedial & Special Education</searchLink>. 01/01/2011, Vol. 32 Issue 1, p39-54. 16p.
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  Data: <searchLink fieldCode="DE" term="%22Problem+youth%22">Problem youth</searchLink><br /><searchLink fieldCode="DE" term="%22Behavior+modification%22">Behavior modification</searchLink><br /><searchLink fieldCode="DE" term="%22Behavioral+assessment+of+children%22">Behavioral assessment of children</searchLink><br /><searchLink fieldCode="DE" term="%22Systematic+Screening+for+Behavior+Disorders%22">Systematic Screening for Behavior Disorders</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis%22">Data analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+intervention%22">Educational intervention</searchLink><br /><searchLink fieldCode="DE" term="%22Youth+services%22">Youth services</searchLink>
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  Data: In this article the authors provide practitioners and researchers with three illustrations of how to use systematic screening tools within the context of three-tiered models of support to (a) measure the overall level of risk present in a school over time and (b) identify students who may require more targeted supports in the form of secondary and tertiary prevention efforts. Specifically, the authors explore data-driven approaches to interpreting systematic screening data collected as part of regular school practices at the high, middle, and elementary school levels. In each illustration they describe the student population, the procedures used by each school to construct the three-tiered model, the primary prevention plan developed, the systematic screening tool incorporated into regular school practices, and the data analysis plan. Furthermore, the authors offer findings of treatment outcome studies that demonstrate how student risk shifts over time following program implementation. They also include hypothetical and actual illustrations of how to use data from a variety of screening tools to identify students for secondary and tertiary prevention efforts. [ABSTRACT FROM PUBLISHER]
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  Data: <i>Copyright of Remedial & Special Education is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=57205065
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      – SubjectFull: Behavioral assessment of children
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              Text: 01/01/2011
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