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The efficacy of an academic behavior...
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Crump, Sharlyn.
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The efficacy of an academic behavior assessment tool for the functional behavior assessment process.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
The efficacy of an academic behavior assessment tool for the functional behavior assessment process./
作者:
Crump, Sharlyn.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2015,
面頁冊數:
107 p.
附註:
Source: Dissertations Abstracts International, Volume: 77-02, Section: B.
Contained By:
Dissertations Abstracts International77-02B.
標題:
Educational tests & measurements. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3714452
ISBN:
9781321917604
The efficacy of an academic behavior assessment tool for the functional behavior assessment process.
Crump, Sharlyn.
The efficacy of an academic behavior assessment tool for the functional behavior assessment process.
- Ann Arbor : ProQuest Dissertations & Theses, 2015 - 107 p.
Source: Dissertations Abstracts International, Volume: 77-02, Section: B.
Thesis (Ed.D.)--Pepperdine University, 2015.
This item must not be sold to any third party vendors.
Since the reauthorization of Individuals with Disabilities Education Act in 1997 and then later, the Individuals with Disabilities Education Improvement Act in 2004, students that display behaviors that impede learning require that a Functional Behavior Assessment (FBA) be conducted for the development of a behavior plan that is focused on Positive Behavior Support (PBS) strategies. The traditional FBA measures and analyzes environmental variables that trigger problem behaviors; however, it does not measure adaptive academic behavior skills that are needed for academic success in the classroom environment. This study's literature review examines the reasons for incorporating a strength-based model for measuring academic behaviors for a more comprehensive analysis of a student's strengths as well as deficits. Adaptive/academic behavior skill measurements are also appropriate for identifying and teaching replacement skills. This study examined an academic behavior tool that helps educators to identify both the student's adaptive academic behavior strengths as well as behavior deficits during the FBA process. In addition, psychometric properties for the statistical relationships between behavior variables were measured for consistency, standardization, and better overall assistance for the classroom educator. The findings of this analysis support that the psychometrics properties of the academic behavior assessment tool meets the measurements for a reliable and valid tool. The Alpha Cronbach Reliability test measured .96. The principle components factor analysis with a varimax rotation was measured. The factor analysis identified the connections between the studies demographic variables, and the relationship that existed amongst the 25 survey items of the tool. The eigenvalues greater than 1.0 resulted in a four-factor solution that accounted for 69.81% of the variance. Given that the first factor was six times or more times larger than any other factor, a decision to retain only one factor and retain all 25 items to create a total score. Based on the psychometric measurements of this study, this academic behavior assessment tool possibly will help classroom educators address problem behaviors by identifying the appropriate replacement skills needed for the development of the BIP, interventions, and the FBA process. Additional findings suggest that, used as a screening tool, it may identify skill deficits with preschool-aged children, primary students, special education, and the RtI model, to connect both the academic and behavioral components needed to be taught for academic success.
ISBN: 9781321917604Subjects--Topical Terms:
3168483
Educational tests & measurements.
The efficacy of an academic behavior assessment tool for the functional behavior assessment process.
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Since the reauthorization of Individuals with Disabilities Education Act in 1997 and then later, the Individuals with Disabilities Education Improvement Act in 2004, students that display behaviors that impede learning require that a Functional Behavior Assessment (FBA) be conducted for the development of a behavior plan that is focused on Positive Behavior Support (PBS) strategies. The traditional FBA measures and analyzes environmental variables that trigger problem behaviors; however, it does not measure adaptive academic behavior skills that are needed for academic success in the classroom environment. This study's literature review examines the reasons for incorporating a strength-based model for measuring academic behaviors for a more comprehensive analysis of a student's strengths as well as deficits. Adaptive/academic behavior skill measurements are also appropriate for identifying and teaching replacement skills. This study examined an academic behavior tool that helps educators to identify both the student's adaptive academic behavior strengths as well as behavior deficits during the FBA process. In addition, psychometric properties for the statistical relationships between behavior variables were measured for consistency, standardization, and better overall assistance for the classroom educator. The findings of this analysis support that the psychometrics properties of the academic behavior assessment tool meets the measurements for a reliable and valid tool. The Alpha Cronbach Reliability test measured .96. The principle components factor analysis with a varimax rotation was measured. The factor analysis identified the connections between the studies demographic variables, and the relationship that existed amongst the 25 survey items of the tool. The eigenvalues greater than 1.0 resulted in a four-factor solution that accounted for 69.81% of the variance. Given that the first factor was six times or more times larger than any other factor, a decision to retain only one factor and retain all 25 items to create a total score. Based on the psychometric measurements of this study, this academic behavior assessment tool possibly will help classroom educators address problem behaviors by identifying the appropriate replacement skills needed for the development of the BIP, interventions, and the FBA process. Additional findings suggest that, used as a screening tool, it may identify skill deficits with preschool-aged children, primary students, special education, and the RtI model, to connect both the academic and behavioral components needed to be taught for academic success.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3714452
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