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55
Table 3.3: Longitudinal API Scores for Schools Below 750
School 2004-2005
API
2005-2006
API
2006-2007
API
2007-2008
API
2008-2009
API
Oliver 702 679 715 713 701
Kellogg 577 585 620 701 677
Tyler 554 651 674 735 702
Ridge 597 674 653 643 685
Source: California Department of Education (2010).
From the initial sample of eight schools, four schools, Delano, Byron, Amarado
and Oliver initially agreed to participate. Although Oliver agreed to participate and was
interviewed, the school did not provide quantitative data and was eliminated from the
study. To ensure there were at least four sample schools, one additional school that met
the criteria, Timothy, was contacted and agreed to participate.
Limitations of Sample
The charter schools studied had varying degrees of growth. This sample was
comprised of schools managed by charter management organizations (CMO) and
independent charters. The ability to make generalizations based on the data and the case
studies is limited to schools with similar demographics as well as management structures.
Instrumentation and Data Collection
In order to complete a valid and reliable study, training on the use of the
instruments and questions was conducted in March of 2010. The instrumentation and
questions were developed by Lawrence O. Picus and Associates and contains a data
Object Description
| Title | Allocation of educational resources to improve student achievement: Case studies of four California charter schools |
| Author | Patrick, Ramona Kay |
| Author email | rpatrick@usc.edu; ramonakaypatrick@gmail.com |
| Degree | Doctor of Education |
| Document type | Dissertation |
| Degree program | Education (Leadership) |
| School | Rossier School of Education |
| Date defended/completed | 2011-03-28 |
| Date submitted | 2011 |
| Restricted until | Unrestricted |
| Date published | 2011-05-04 |
| Advisor (committee chair) | Picus, Lawrence O. |
| Advisor (committee member) |
Hentschke, Guilbert C. Nelson, John L. |
| Abstract | Charter schools are growing at a rapid pace have significantly more flexibility in their allocation of resources in comparison to their traditional public school counterparts in California. Because of this, it is important to study how successful charter schools, with this increased flexibility, are utilizing their resources to achieve high results with their students in a time of fiscal constraint. There is a plethora of data and research on effective school practices to improve student achievement, but a dearth of research on the effective allocation of resources at charter schools. The purpose of this study is to analyze how four high performing charter schools, with high percentages of socioeconomically disadvantaged students in Los Angeles, California, are implementing school improvement strategies and utilizing resources at their school site to impact student achievement. The Evidenced-Based Model, (Odden & Picus, 2008) along with Odden and Archibald’s (2009) Ten Strategies for Doubling Student Performance were used as a lens in this study to compare resource allocation as well as school improvement strategies to best support student achievement at the schools. This study will describe each schools’ instructional vision and improvement strategy, how resources are utilized to implement their instructional improvement plan, how the current fiscal crisis is affecting their allocation of resources, and how actual resource patterns are aligned with the Evidence Based Model (Odden & Picus, 2008). |
| Keyword | charter schools; resource allocation; evidenced-based model |
| Geographic subject (state) | California |
| Geographic subject (country) | USA |
| Coverage date | 2000/2010 |
| Language | English |
| Part of collection | University of Southern California dissertations and theses |
| Publisher (of the original version) | University of Southern California |
| Place of publication (of the original version) | Los Angeles, California |
| Publisher (of the digital version) | University of Southern California. Libraries |
| Provenance | Electronically uploaded by the author |
| Type | texts |
| Legacy record ID | usctheses-m3815 |
| Contributing entity | University of Southern California |
| Rights | Patrick, Ramona Kay |
| Repository name | Libraries, University of Southern California |
| Repository address | Los Angeles, California |
| Repository email | cisadmin@lib.usc.edu |
| Filename | etd-Patrick-4438 |
| Archival file | uscthesesreloadpub_Volume51/etd-Patrick-4438.pdf |
Description
| Title | Page 63 |
| Contributing entity | University of Southern California |
| Repository email | cisadmin@lib.usc.edu |
| Full text | 55 Table 3.3: Longitudinal API Scores for Schools Below 750 School 2004-2005 API 2005-2006 API 2006-2007 API 2007-2008 API 2008-2009 API Oliver 702 679 715 713 701 Kellogg 577 585 620 701 677 Tyler 554 651 674 735 702 Ridge 597 674 653 643 685 Source: California Department of Education (2010). From the initial sample of eight schools, four schools, Delano, Byron, Amarado and Oliver initially agreed to participate. Although Oliver agreed to participate and was interviewed, the school did not provide quantitative data and was eliminated from the study. To ensure there were at least four sample schools, one additional school that met the criteria, Timothy, was contacted and agreed to participate. Limitations of Sample The charter schools studied had varying degrees of growth. This sample was comprised of schools managed by charter management organizations (CMO) and independent charters. The ability to make generalizations based on the data and the case studies is limited to schools with similar demographics as well as management structures. Instrumentation and Data Collection In order to complete a valid and reliable study, training on the use of the instruments and questions was conducted in March of 2010. The instrumentation and questions were developed by Lawrence O. Picus and Associates and contains a data |
