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Prediction of Virginia Standards of Learning Assessment Scores from the World Class Instructional Design Assessment.
Record Type:
Language materials, manuscript : Monograph/item
Title/Author:
Prediction of Virginia Standards of Learning Assessment Scores from the World Class Instructional Design Assessment./
Author:
Everett, Jeff.
Description:
1 online resource (386 pages)
Notes:
Source: Dissertations Abstracts International, Volume: 84-07, Section: A.
Contained By:
Dissertations Abstracts International84-07A.
Subject:
Educational leadership. -
Online resource:
click for full text (PQDT)
ISBN:
9798368455426
Prediction of Virginia Standards of Learning Assessment Scores from the World Class Instructional Design Assessment.
Everett, Jeff.
Prediction of Virginia Standards of Learning Assessment Scores from the World Class Instructional Design Assessment.
- 1 online resource (386 pages)
Source: Dissertations Abstracts International, Volume: 84-07, Section: A.
Thesis (Ed.D.)--Grand Canyon University, 2023.
Includes bibliographical references
The purpose of this quantitative correlational study was to determine if and to what extent an ELL student's SBELP-RC could predict his or her ACPELA-RC, ACPELA-WP, and ACP-A1. Study participants were ELL students in Grades 9 to 12, attending a Northern Virginia high school. A further purpose of this study was to investigate if and to what extent an ELL student's SBELP-WP could predict his or her ACPELA-WP. Systemic Functional Linguistics (SFL) and the Catell-Horn-Carroll (CHC) theory of cognitive abilities were the theoretical foundations for this study. The research questions investigated the potential prediction between SBELP-RC and ACPELA-RC, ACPELA-WP, and ACP-A1, and the prediction between SBELP-WP and ACPELA-WP. The WIDA Reading and Writing assessments and the VASOL-RC, VASOL-WP, and VASOL-A1 assessments were the instruments. Simple linear regressions were performed, equations were determined from scatter plots, and descriptive and inferential statistics (p < 0.001 in all cases) were compiled. Findings revealed that a 43% variance of ACPELA-RC was, a 34% of variance of ACPELA-WP, and a 12% variance of ACP-A1 were predicted from SBELP-RC. A 17% variance of ACPELA-WP was predicted by SBELP-WP. The relationship between each pair of variables exhibited a linear and positive relationship. Thus, an increase in one variable was associated with an increase in the opposing variable.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024
Mode of access: World Wide Web
ISBN: 9798368455426Subjects--Topical Terms:
585508
Educational leadership.
Subjects--Index Terms:
English language development standardsIndex Terms--Genre/Form:
554714
Electronic books.
Prediction of Virginia Standards of Learning Assessment Scores from the World Class Instructional Design Assessment.
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Prediction of Virginia Standards of Learning Assessment Scores from the World Class Instructional Design Assessment.
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Source: Dissertations Abstracts International, Volume: 84-07, Section: A.
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Advisor: Mincey, Barrett.
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Includes bibliographical references
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The purpose of this quantitative correlational study was to determine if and to what extent an ELL student's SBELP-RC could predict his or her ACPELA-RC, ACPELA-WP, and ACP-A1. Study participants were ELL students in Grades 9 to 12, attending a Northern Virginia high school. A further purpose of this study was to investigate if and to what extent an ELL student's SBELP-WP could predict his or her ACPELA-WP. Systemic Functional Linguistics (SFL) and the Catell-Horn-Carroll (CHC) theory of cognitive abilities were the theoretical foundations for this study. The research questions investigated the potential prediction between SBELP-RC and ACPELA-RC, ACPELA-WP, and ACP-A1, and the prediction between SBELP-WP and ACPELA-WP. The WIDA Reading and Writing assessments and the VASOL-RC, VASOL-WP, and VASOL-A1 assessments were the instruments. Simple linear regressions were performed, equations were determined from scatter plots, and descriptive and inferential statistics (p < 0.001 in all cases) were compiled. Findings revealed that a 43% variance of ACPELA-RC was, a 34% of variance of ACPELA-WP, and a 12% variance of ACP-A1 were predicted from SBELP-RC. A 17% variance of ACPELA-WP was predicted by SBELP-WP. The relationship between each pair of variables exhibited a linear and positive relationship. Thus, an increase in one variable was associated with an increase in the opposing variable.
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click for full text (PQDT)
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