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Relationships between district size,...

Diaz, Vincent.

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Relationships between district size, socioeconomic status, actual levy percentages, and student achievement in Washington state 2nd class school districts.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Relationships between district size, socioeconomic status, actual levy percentages, and student achievement in Washington state 2nd class school districts./
Author:	Diaz, Vincent.
Description:	186 p.
Notes:	Adviser: Richard E. Smith.
Contained By:	Dissertation Abstracts International67-09A.
Subject:	Education, Administration. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3234271
ISBN:	9780542881305

Relationships between district size, socioeconomic status, actual levy percentages, and student achievement in Washington state 2nd class school districts.
Diaz, Vincent.

Relationships between district size, socioeconomic status, actual levy percentages, and student achievement in Washington state 2nd class school districts. - 186 p.

Adviser: Richard E. Smith.

Thesis (Ed.D.)--Seattle Pacific University, 2006.

The purpose of this study was to explore the relationships between district size, socioeconomic status, actual levy percentages, and their predictive influence on the 2003 Washington Assessment of Student Learning (WASL) results for 4th and 7th grade students in Reading and Mathematics. The sample was 82 second-class school districts in Washington state with enrollments between 500-2,000 students.

ISBN: 9780542881305Subjects--Topical Terms:

626645
Education, Administration.

Relationships between district size, socioeconomic status, actual levy percentages, and student achievement in Washington state 2nd class school districts.
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020 $a 9780542881305
035 $a (UMI)AAI3234271
035 $a AAI3234271
040 $a UMI $c UMI
100 1 $a Diaz, Vincent. $3 1286952
245 1 0 $a Relationships between district size, socioeconomic status, actual levy percentages, and student achievement in Washington state 2nd class school districts.
300 $a 186 p.
500 $a Adviser: Richard E. Smith.
500 $a Source: Dissertation Abstracts International, Volume: 67-09, Section: A, page: 3238.
502 $a Thesis (Ed.D.)--Seattle Pacific University, 2006.
520 $a The purpose of this study was to explore the relationships between district size, socioeconomic status, actual levy percentages, and their predictive influence on the 2003 Washington Assessment of Student Learning (WASL) results for 4th and 7th grade students in Reading and Mathematics. The sample was 82 second-class school districts in Washington state with enrollments between 500-2,000 students.
520 $a The study investigated the following questions: (a) what is the relationship between student achievement and district enrollment size, (b) what is the relationship between student achievement and the socioeconomic status of students in the districts, (c) what is the relationship between academic achievement and Washington state districts financial resources allocation---as measured by actual levy percentages, and (d) which of these variables is the most influential predictor of student achievement: district size, socioeconomic status, and or actual levy percentages?
520 $a A correlation design was utilized to explore the relationships between the predictor and criterion variables. Multiple linear regression procedures with simultaneous entry of the variables were used. Criterion variables were the reading and mathematics results for 4th and 7th grade students on the 2003 Washington Assessment of Student Learning (WASL).
520 $a No statistically significant correlations were noted between student achievement and district size. Socioeconomic status (free and reduced meal rate percentages) and student outcomes were highly negatively correlated and statistically significant at the .01 alpha levels. Actual levy percentages and student outcomes were significantly correlated at the .01 alpha levels and in the positive direction.
520 $a Multiple regression analysis revealed socioeconomic status as the best predictor of student outcomes. Actual levy percentages contributed negligible amounts of proportional variance to student scores. Due to non-significant correlations, district size was not utilized as a predictor variable with the regression analysis. This study encourages further investigations utilizing other predictor variables that can potentially mitigate the strong influence of socioeconomic status on student outcomes.
590 $a School code: 1043.
650 4 $a Education, Administration. $3 626645
650 4 $a Education, Finance. $3 1020300
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690 $a 0514
710 2 $a Seattle Pacific University. $3 1021997
773 0 $t Dissertation Abstracts International $g 67-09A.
790 $a 1043
790 1 0 $a Smith, Richard E., $e advisor
791 $a Ed.D.
792 $a 2006
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3234271