Thesis (Ed.D.)--University of Central Florida, 2008. / Adviser: Rosemarye Taylor. Includes bibliographical references (p. 166-171).

Thesis (Ph. D.)--Florida State University, 2006. / Advisor: Briley E. Proctor, Florida State University, College of Education, Dept. of Educational Psychology and Learning Systems. Title and description from dissertation home page (viewed July 28, 2006). Document formatted into pages; contains x, 122 pages. Includes bibliographical references.

Thesis (Ed.D.)--University of West Florida, 2007. / Title from title page of source document. Document formatted into pages; contains 163 pages. Includes bibliographical references.

Thesis (Ed.D.)--University of West Florida, 2007. / Title from title page of source document. Document formatted into pages; contains 111 pages. Includes bibliographical references.

Thesis (Ph. D.)--Florida State University, 2006. / Advisor: Akihito Kamata, Florida State University, College of Education, Dept. of Educational Psychology and Learning Systems. Title and description from dissertation home page (viewed June 7, 2006). Document formatted into pages; contains x, 135 pages. Includes bibliographical references.

Thesis (Ed.D.)--University of West Florida, 2006. / Title from title page of source document. Document formatted into pages; contains 135 pages. Includes bibliographical references.

The ability to read is highly valued in American society and important for social and economic advancement. One of the best strategies to prevent reading difficulties is to build basic literacy skills, thereby ensuring that all children are readers early in their educational careers. The purpose of this study was to determine the relationship between third-grade students' oral reading rate and scores on the Florida Comprehensive Assessment Test. The present study examined the relationship between the independent variables of Curriculum-Based Measurement Reading (R-CBM), ethnicity and socioeconomic status and the dependent variable of performance on the reading portion of the Florida Comprehensive Assessment Test (FCAT) in 215 third-grade students. The data presented in this study were collected by the Florida Center for Reading Research (FCRR) as part of a larger assessment battery across three school districts and nine elementary schools in Florida. Student demographic variables as well as performance on three different types of oral reading probes (generic, content, and FCAT passages) were investigated in relation to each student's performance on the reading portion of the FCAT. Results of the current study were similar to investigations in other states; the correlations among the R-CBM probes and between all R-CBM probes and FCAT scores were high and statistically significant. These results indicate that student performance on any or all R-CBM probe types can be used to predict FCAT score. Ethnicity and SES were not significant predictors of FCAT score above R-CBM score. Implications for educators and specifically school psychologists are discussed including opportunities for school psychologists to train educational personnel in the use of R-CBM. As evidenced by the current study, R-CBM may help identify students who are at-risk for reading failure and FCAT failure so that intensive interventions can be implemented early and student progress frequently monitored.

The purpose of this study was to determine the immediate and long term impact of participation in the 2009 Third Grade Summer Reading Camp, as well as determine the cost-effectiveness of providing this program in comparison to the cost-effectiveness of other reading interventions as identified by Yeh (2010). All students in this study scored an achievement level one on the 2009 FCAT Reading assessment and either attended the summer reading camp or received a good cause exemption for promotion to the next grade level. Data was not available to determine immediate impact of summer school. To determine long term impact of summer school participation, 130 students who attended the program and passed were compared to a random sample of 130 students who received another good cause exemption. Results of an independent t-test indicated students who passed summer school by performing at or above the 50th percentile on the alternative assessment outperformed students who received another good cause exemption on the 2010 FCAT Reading assessment, t(258) = -9.50, p = .000, effect size r = 0.51,and 2011 FCAT Reading assessment, t(258) = -7.43, p = .000, effect size r = 0.42. Ninety percent of students who attended summer school and passed the alternative assessment for promotion made learning gains on the following year’s FCAT Reading assessment; however, the majority of students performed below grade level on the 2010 and 2011 FCAT Reading assessment. Based on school district records for the cost of salaries, benefits, transportation, materials, and supplies, the total cost of summer school was calculated and adjusted for iii inflation to 2006 dollars so a comparison could be made to Yeh’s (2010) costeffectiveness analysis of summer school and other reading interventions that annualized the cost to 2006 dollars. The adjusted cost for the 2009 summer reading program was calculated at $872,681.23. Using this number and dividing by the total number of summer school student, which were 3,012 students, the cost per student annualized to 2006 was $289.74. Data to determine the immediate impact of summer school were not available, therefore, student performance on the 2009 FCAT Reading assessment was compared to their performance on the 2010 FCAT Reading assessment by calculating a paired samples t-test, t(1225) = 40.82, p = .000, d = 1.23, effect size r = 0.52. The effect size d was divided by the cost per student which calculated an effectiveness-cost ratio of 0.004245 compared to that derived by Yeh (2010) of 0.000125. Caution should be taken when interpreting these results as methodology was not in alignment to Yeh (2010) due to the lack of an immediate post-test measure after participation in summer school and an additional year of interventions and education is reflected in the test scores. The cost per student was calculated to be $1,225.26 less than the amount of money reported in Yeh’s (2010) calculations. Based on this information, the diminishing effect of the summer school program on student reading performance in subsequent years, and the majority of students performing below grade level one and two years after summer school participation, it cannot be determined that this program is cost-effective in raising student reading achievement. It is recommended that this study be replicated with adjustments made to address the limitations identified. Further investigation should be made at the state level to iv determine if the current practice of good cause exemptions and summer school offerings perpetuates the achievement gap in reading

This study aimed to determine the relationship between school culture and student achievement. Elementary school teachers (N=574) from 27 schools in suburban Seminole County, Florida completed the School Culture Triage Survey to generate a school culture score. The participating schools were ranked and placed in categories representing the top 33% (N=9), middle 33% (N=9), and bottom 33% (N=9) of the population based on their culture score. School culture data were analyzed and correlated with third grade student achievement data, as measured by the 2007 Florida Comprehensive Assessment Test (FCAT) Reading to determine if there were any relationships between (a) school culture and student achievement; (b) the three key components of school culture (collaboration, collegiality, and self-determination/efficacy) and student achievement; and (c) principal tenure and school culture. Additional data analysis served to determine if there were any experiential or demographic differences among the teachers from the schools falling in the top, middle, and bottom 33% on the School Culture Triage Survey. To learn more about principal beliefs with regard to school culture and student achievement, principal interviews were conducted with some principals (N=8) from the participating schools. Through a review of the research results and related literature, the researcher concluded that a relationship between the overall school culture and student achievement did not exist. Further analysis revealed that there were no relationships between student achievement and collaboration, collegiality, and self-determination/efficacy, or between school culture and principal tenure for the schools participating in this study.

The focus of this study was to examine the relationship of student participation in the Advancement Via Individual Determination (AVID) program and student academic performance. More specifically, this study was conducted to determine if there was a mean difference in student performance on the Florida Comprehensive Assessment Test (FCAT) in mathematics, reading, and writing between students who participated in the AVID program during their first two years of high school and students who had similar demographics (e.g., ethnicity, gender, and economic status) but did not participate in the AVID program for 2007-2009. The population for this study consisted of students from six high schools with certified AVID programs during the 2007-2008 and 2008-2009 school years in two central Florida school districts. Students participating in the AVID program were matched with non-AVID participants for each school site by ethnicity, gender, socioeconomic status, and tenth grade mathematics or English course. The results of this study did not indicate statistically significant differences in the FCAT mathematics and reading developmental scale score gains between the AVID and non-AVID students. However, the non-AVID students performed significantly higher on the tenth grade writing component of the FCAT. Participation in the AVID program produced no statistically significant findings for the factors of gender, ethnicity, and socioeconomic status for FCAT mathematics, reading, or writing. The findings indicated that AVID and non-AVID students could not be differentiated by FCAT performance measures in the mathematics and reading domains.