Magnet schools were developed in the early 1970s when a large number of urban school districts began seeking alternatives to court-ordered desegregation mandates (Levine and Steel, 1994). Since that time, numerous studies have been conducted on the effectiveness of magnet schools in providing a racially balanced learning environment as well as increasing academic achievement. The purpose of the causal-comparative study was to determine if the math and science magnet program at a middle school affected achievement, attendance, and parent perceptions. This study conducted three different analyses. A chi square analysis of the student population was conducted to determine racial balanced on attendance data from the school years 1993-94 through 1996-97, and if the racial balance of the magnet program mirrored that of the district. Three-way ANCOVA analyses, with a 2x2x2 factorial design were performed on attendance and the five components of the 1997 Stanford Achievement Test Form 9-TA results for the eighth grade population at the targeted middle school enrolled during the 1996-97 school year. Complete data for 177 eighth grade students was utilized. Attendance and achievement served as the dependent variables. The independent variables tested were group membership (magnet, non-magnet), gender (male, female), and race/ethnicity (black, white). Socio-economic status (SES) and Literacy Passport Test (LPT) scores served as the covariates in the study. A survey of school effectiveness was sent to a random sample of parents. A t-test was performed to determine if there was a statistically significant difference between the perceptions of parents of magnet students and parents of student not enrolled in the program on school effectiveness. The racial balance of the magnet program did not mirror that of the district. There was more of an equally distributed number of blacks and whites in the magnet program. Within the district, approximately 68% of the student enrollment was black, the white enrollment was approximately 31%. Magnet students achieved statistically significantly higher scores on each of the five components of the Stanford Achievement Test Form 9-TA than non-magnet students. Gender and race/ethnicity differences were statistically significant in science achievement in that male and white students achieved higher scores than female and black students. There was a statistically significant difference in attendance between magnet students and non-magnet students. Magnet students attended school more than non-magnet students. There was no significant difference in perceptions of parents of magnet and non-magnet students. Both groups felt that the school was very good. Implications for future avenues of research were also suggested. / Ed. D.

This case study examined the perceptions of administrators, teachers and parents of the implementation of an elementary school science, technology, engineering and math (STEM) academy program that featured characteristics of both magnet school programs and schoolwithin-a-school programs. I conducted interviews of key personnel, informed by classroom observations and a survey of parents to determine how stakeholders perceived equity in the access and allocation of opportunities and resources. The STEM Academy selected students from neighboring elementary schools and was housed within a larger K-5 elementary school. I found the STEM Academy teachers were widely praised for their innovations and teaching excellence, and alignment with emerging best practices. However, there were perceptions that their curriculum was neither sufficiently documented nor aligned with school division priorities, and was insufficiently communicated with school division central office leaders Academy parents, teachers, and community partners praised the Academy’s approach to curriculum, instruction, and uncommon learning experiences; but resentment and perceptions of inequity and exclusivity among most other stakeholders compromised the program implementation, leading to administrative and political pressure that challenged the Academy’s sustainability. I provide discussion and recommendations concerning elementary STEM programs, highlighting the importance of stakeholder perceptions and program evaluation. I also provide several suggestions for further research. / Ed. D.

From the moment children are born, they begin a lifetime journey of learning about themselves and their surroundings. With the establishment of the No Child Left Behind Act of 2001, it mandates that all children receive a high-quality education in a positive school climate. Regardless of the school the child attends or the neighborhood in which the child lives, proper and quality education and resources must be provided and made available in order for the child to be academically successful. The purpose of this ex post facto study was to investigate the relationship between the FCAT 2.0 mathematics scores of public middle school students in Miami-Dade County, Florida and the concentrations of a school’s racial and ethnic make-up (Whites, Blacks, and Hispanics), English for Speakers of other Languages (ESOL) population, socio-economic status (SES), and school climate. The research question of this study was: Is there a significant relationship between the FCAT 2.0 Mathematics scores and racial and ethnic concentration of public middle school students in Miami-Dade County when controlling SES, ESOL student population, and school climate for the 2010-2011 school year? The instruments used to collect the data were the FCAT 2.0 and Miami-Dade County Public Schools (M-DCPS) School Climate Survey. The study found that Economically Disadvantaged (SES) students socio-economic status had the strongest correlation with the FCAT 2.0 mathematics scores (r = -.830). The next strongest correlation was with the number of students who agreed that their school climate was positive and helped them learn (r = .741) and the third strongest correlation was a school percentage of White students (r = .668). The study concluded that the FCAT 2.0 mathematics scores of M-DCPS middle school students have a significant relationship with socio-economic status, school climate, and racial concentration.