7 resultados para community housing associations

em Digital Commons at Florida International University


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Nearly one million Asian Indians have immigrated to the United States. Asian Indians are scattered across wide geographic areas. While some have chosen transnationalism, most are taking the traditional route of building ethnic communities. Using what the West has to offer in terms of communication and transportation technologies, they are constructing communities without geographic boundaries, with the extensive use of the automobile and air transportation, cellular phones, FAX machines, commercial delivery services, multi-party conference phones. Also, they are incorporating the American tradition of immigrant associations into an Asian Indian syncretism of community. In the process there emerges an Asian Indian identity and concept of kinship and community. ^

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This paper examines the relationship between the historical development of residential segregation in Black areas of Dade County and the level of housing quality in those areas. Previous literature studies the effect of hypersegregation on housing quality. Instead, this paper analyzes the nature of each Black community and the social process by which they became segregated in contrast with only hypersegregation being considered. Data were drawn from the 1990 Census of Housing and Population at the block group level for Dade County. Two indicators for housing quality were considered: crowding and rent. Six categories for Black areas in Dade County and one residual category were developed for the analysis. Regression's results show that the effect of each community on housing quality varies. For example, overcrowding goes down in first-ghetto areas when compared to second-ghetto areas, although the percentage of Blacks in both communities is about the same. ^

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Math anxiety levels and performance outcomes were compared for bilingual and monolingual community college Intermediate Algebra students attending a culturally diverse urban commuter college. Participants (N = 618, 250 men, 368 women; 361 monolingual, 257 bilingual) completed the Abbreviated Math Anxiety Scale (AMAS) and a demographics instrument. Bilingual and monolingual students reported comparable mean AMAS scores (20.6 and 20.7, respectively) and comparable proportions of math anxious individuals (50% and 48%, respectively). Factor analysis of AMAS scores, using principal component analysis by varimax rotation, yielded similar two-factor structures for both populations -- assessment and learning content -- accounting for 65.6% of the trace for bilingual AMAS scores. Statistically significant predictor variables for levels of math anxiety for the bilingual participants included (a) preparatory course enrollment (β = .236, p = .041) with those enrolled in prior preparatory courses scoring higher, (b) education major (β = .285, p = .018) with education majors scoring higher, and (c) business major (β = .252, p = .032) with business majors scoring higher. One statistically significant predictor variable emerged for monolingual students, gender (β = -.085, p = .001) with females ranking higher. Age, income, race, ethnicity, U.S. origin, science or health science majors did not emerge as statistically significant predictor variables for either group.^ Similarities between monolingual and bilingual participants included statistically significant negative linear correlations between AMAS scores and course grades for both bilingual (r = -.178, p = .017) and monolingual participants (r = -.203, p = .001). Differences included a statistically significant linear correlation between AMAS scores and final exam grades for monolingual participants only (r = -.253, p < .0009) despite no statistically significant difference in the strength the linear relationship of the AMAS scores and the final exam scores between groups, z = 1.35, p = .1756.^ The findings show that bilingual and monolingual students report math anxiety similarly and that math anxiety has similar associations with performance measures, despite differences between predictor variables. One of the first studies on the math anxiety of bilingual community college students, the results suggest recommendations for researchers and practitioners.^

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In the United States, public school enrollment is typically organized by neighborhood boundaries. This dissertation examines whether the federally funded HOPE VI program influenced performance in neighborhood public schools. In effect since 1992, HOPE VI has sought to revitalize distressed public housing using the New Urbanism model of mixed income communities. There are 165 such HOPE VI projects nationwide. Despite nearly two decades of the program's implementation, the literature on its connection to public school performance is thin. My dissertation aims to narrow this research gap. There are three principal research questions: (1) Following HOPE VI, was there a change in socioeconomic status (SES) in the neighborhood public school? The hypothesis is that low SES (measured as the proportion of students qualifying for the Free and Reduced Lunch Program) would reduce. (2) Following HOPE VI, did the performance of neighborhood public schools change? The hypothesis is that the school performance, measured by the proportion of 5th grade students proficient in state wide math and reading tests, would increase. (3) What factors relate to the performance of public schools in HOPE VI communities? The focus is on non-school, neighborhood factors that influence the public school performance. For answering the first two questions, I used t-tests and regression models to test the hypotheses. The analysis shows that there is no statistically significant change in SES following HOPE VI. However, there are statistically significant increases in performance for reading and math proficiency. The results are interesting in indicating that HOPE VI neighborhood improvement may have some relationship with improving school performance. To answer the third question, I conducted a case study analysis of two HOPE VI neighborhood public schools, one which improved significantly (in Philadelphia) and one which declined the most (in Washington DC). The analysis revealed three insights into neighborhood factors for improved school performance: (i) a strong local community organization; (ii) local community's commitment (including the middle income families) to send children to the public school; and (iii) ties between housing and education officials to implement the federal housing program. In essence, the study reveals how housing policy is de facto education policy.

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The “University City project” is a public-private partnership between Florida International University (FIU), the City of Sweetwater, and private investors. The project focuses on redeveloping certain areas of Sweetwater near FIU with the goal of enticing members of the university community to become residents. Building on previous research findings regarding how redevelopment prospects in the City of Sweetwater are affecting residents of the Li’l Abner Mobile Home Park, I examine how these changes are affecting residents in the immediate vicinity of the University. Using a combination of semi-structured interviews and participant observation, I seek to answer the following questions: How do Sweetwater residents feel about development projects in the community of Sweetwater? In what ways do these changes affect their lives? How powerful or powerless do they feel in the face of these changes, or how much say do they believe they have in their implementation? This research will add depth and context to the emerging interdisciplinary study of the “studentification” phenomenon, a form of gentrification that is centered on students, which has received little attention in the United States.

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Math anxiety levels and performance outcomes were compared for bilingual and monolingual community college Intermediate Algebra students attending a culturally diverse urban commuter college. Participants (N = 618, 250 men, 368 women; 361 monolingual, 257 bilingual) completed the Abbreviated Math Anxiety Scale (AMAS) and a demographics instrument. Bilingual and monolingual students reported comparable mean AMAS scores (20.6 and 20.7, respectively) and comparable proportions of math anxious individuals (50% and 48%, respectively). Factor analysis of AMAS scores, using principal component analysis by varimax rotation, yielded similar two-factor structures for both populations -- assessment and learning content -- accounting for 65.6% of the trace for bilingual AMAS scores. Statistically significant predictor variables for levels of math anxiety for the bilingual participants included (a) preparatory course enrollment (β = .236, p = .041) with those enrolled in prior preparatory courses scoring higher, (b) education major (β = .285, p = .018) with education majors scoring higher, and (c) business major (β = .252, p = .032) with business majors scoring higher. One statistically significant predictor variable emerged for monolingual students, gender (β = -.085, p = .001) with females ranking higher. Age, income, race, ethnicity, U.S. origin, science or health science majors did not emerge as statistically significant predictor variables for either group. Similarities between monolingual and bilingual participants included statistically significant negative linear correlations between AMAS scores and course grades for both bilingual (r = -.178, p = .017) and monolingual participants (r = -.203, p = .001). Differences included a statistically significant linear correlation between AMAS scores and final exam grades for monolingual participants only (r = -.253, p < .0009) despite no statistically significant difference in the strength the linear relationship of the AMAS scores and the final exam scores between groups, z = 1.35, p = .1756. The findings show that bilingual and monolingual students report math anxiety similarly and that math anxiety has similar associations with performance measures, despite differences between predictor variables. One of the first studies on the math anxiety of bilingual community college students, the results suggest recommendations for researchers and practitioners.

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Resumo:

In the United States, public school enrollment is typically organized by neighborhood boundaries. This dissertation examines whether the federally funded HOPE VI program influenced performance in neighborhood public schools. In effect since 1992, HOPE VI has sought to revitalize distressed public housing using the New Urbanism model of mixed income communities. There are 165 such HOPE VI projects nationwide. Despite nearly two decades of the program’s implementation, the literature on its connection to public school performance is thin. My dissertation aims to narrow this research gap. There are three principal research questions: (1) Following HOPE VI, was there a change in socioeconomic status (SES) in the neighborhood public school? The hypothesis is that low SES (measured as the proportion of students qualifying for the Free and Reduced Lunch Program) would reduce. (2) Following HOPE VI, did the performance of neighborhood public schools change? The hypothesis is that the school performance, measured by the proportion of 5th grade students proficient in state wide math and reading tests, would increase. (3) What factors relate to the performance of public schools in HOPE VI communities? The focus is on non-school, neighborhood factors that influence the public school performance. For answering the first two questions, I used t-tests and regression models to test the hypotheses. The analysis shows that there is no statistically significant change in SES following HOPE VI. However, there are statistically significant increases in performance for reading and math proficiency. The results are interesting in indicating that HOPE VI neighborhood improvement may have some relationship with improving school performance. To answer the third question, I conducted a case study analysis of two HOPE VI neighborhood public schools, one which improved significantly (in Philadelphia) and one which declined the most (in Washington DC). The analysis revealed three insights into neighborhood factors for improved school performance: (i) a strong local community organization; (ii) local community’s commitment (including the middle income families) to send children to the public school; and (iii) ties between housing and education officials to implement the federal housing program. In essence, the study reveals how housing policy is de facto education policy.