scholarly journals Merging Educational Finance Reform and Desegregation Goals

1993 ◽  
Vol 1 ◽  
pp. 7 ◽  
Author(s):  
Deborah M. Kazal-Thresher
Keyword(s):  
Low Income ◽  
Educational Quality ◽  
School Resources ◽  
Educational Finance ◽  
Centralized Control ◽  
Finance Reform ◽  
Minority Children ◽  
Original Intention ◽  
School Financing ◽  
Low Income Families

Educational finance reforms and desegregation have both sought to address inequities in educational opportunities for minorities and low income families. The recent methods of addressing desegregation issues have tended to focus on attaining racial balance rather than educational quality, however. This paper explores how desegregation goals can be merged with educational finance reform to more systematically address educational quality in schools serving low income and minority populations. By moving toward centralized control over school financing, the inequity of school outcomes that are based on unequal school resources can be reduced. In addition, state determined expenditures when combined with desegregation monies, would meet the original intention of desegregation funds by clearly providing add-on monies for additional services for minority children, while at the same time, creating a better monitoring mechanism.

scholarly journals School Finance Reform and the Distribution of Student Achievement

2018 ◽  
Vol 10 (2) ◽  
pp. 1-26 ◽  
Author(s):  
Julien Lafortune ◽  
Jesse Rothstein ◽  
Diane Whitmore Schanzenbach
Keyword(s):  
School Districts ◽  
Low Income ◽  
School Finance ◽  
Educational Achievement ◽  
School Resources ◽  
Finance Reform ◽  
National Assessment ◽  
School Finance Reform ◽  
The Impact ◽  
Representative Samples

We study the impact of post-1990 school finance reforms, during the so-called “adequacy” era, on absolute and relative spending and achievement in low-income school districts. Using an event study research design that exploits the apparent randomness of reform timing, we show that reforms lead to sharp, immediate, and sustained increases in spending in low-income school districts. Using representative samples from the National Assessment of Educational Progress, we find that reforms cause increases in the achievement of students in these districts, phasing in gradually over the years following the reform. The implied effect of school resources on educational achievement is large. (JEL H75, I21, I22, I24, I28)

The Effectiveness of Physical Activity Interventions for Low-Income and Ethnic Minority Children and Youths: A Meta-Analysis

2019 ◽  
Vol 16 (9) ◽  
pp. 799-808 ◽  
Author(s):  
Seung Ho Chang ◽  
Kyungun Kim ◽  
Jihyun Lee ◽  
Sukho Lee
Keyword(s):  
Physical Activity ◽  
Ethnic Minority ◽  
Low Income ◽  
Physical Inactivity ◽  
Minority Groups ◽  
Meta Analysis ◽  
Minority Children ◽  
Physical Activity Interventions ◽  
Low Income Families ◽  
Ethnic Minority Children

Background: Children and youths from low-income families and certain ethnic minority groups show high levels of risk and vulnerability to physical inactivity. The aim of this review was to examine the effectiveness of interventions to increase physical activity (PA) in children and youths from low-income and ethnic minority (LIEM) families. Methods: Eight databases were systematically searched for PA interventions for LIEM children and youths. Twenty-six studies were included in the analyses. Effect sizes (ESs) were calculated using a random-effects model. The ESs were computed using Hedges g with 95% confidence interval. Results: There were small to medium effects of interventions on PA in LIEM children and youth (Q = 1499.193, df = 30, P < .05; I2 = 97.999). Analyses on the moderator variables showed that ES for participants aged 9–12 years (ES = 0.542, P = .01); intervention length less than 13 weeks (ES = 0.561, P = .01); specialists as the intervention agent (ES = 0.680, P < .05); interventions without technology (ES = 0.363, P = .02); and interventions with a behavioral modification component (ES = 0.336, P = .03) were significantly different from zero. Conclusion: PA intervention can be an effective strategy to increase PA for LIEM children and youths.

Demonstrating Nutrient Cost Gradients: A Brooklyn Case Study

2014 ◽  
Vol 84 (5-6) ◽  
pp. 244-251 ◽  
Author(s):  
Robert J. Karp ◽  
Gary Wong ◽  
Marguerite Orsi
Keyword(s):  
Low Income ◽  
Energy Content ◽  
Food Selection ◽  
The United States ◽  
United States Department ◽  
Micronutrient Deficiencies ◽  
Caloric Density ◽  
Low Income Families ◽  
The Cost ◽  
The Impact

Abstract. Introduction: Foods dense in micronutrients are generally more expensive than those with higher energy content. These cost-differentials may put low-income families at risk of diminished micronutrient intake. Objectives: We sought to determine differences in the cost for iron, folate, and choline in foods available for purchase in a low-income community when assessed for energy content and serving size. Methods: Sixty-nine foods listed in the menu plans provided by the United States Department of Agriculture (USDA) for low-income families were considered, in 10 domains. The cost and micronutrient content for-energy and per-serving of these foods were determined for the three micronutrients. Exact Kruskal-Wallis tests were used for comparisons of energy costs; Spearman rho tests for comparisons of micronutrient content. Ninety families were interviewed in a pediatric clinic to assess the impact of food cost on food selection. Results: Significant differences between domains were shown for energy density with both cost-for-energy (p < 0.001) and cost-per-serving (p < 0.05) comparisons. All three micronutrient contents were significantly correlated with cost-for-energy (p < 0.01). Both iron and choline contents were significantly correlated with cost-per-serving (p < 0.05). Of the 90 families, 38 (42 %) worried about food costs; 40 (44 %) had chosen foods of high caloric density in response to that fear, and 29 of 40 families experiencing both worry and making such food selection. Conclusion: Adjustments to USDA meal plans using cost-for-energy analysis showed differentials for both energy and micronutrients. These differentials were reduced using cost-per-serving analysis, but were not eliminated. A substantial proportion of low-income families are vulnerable to micronutrient deficiencies.

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