scholarly journals Socio-economic inequalities in English schooling under the Coalition Government 2010–15

2015 ◽  
Author(s):  
Ruth Lupton ◽  
Stephanie Thomson
Keyword(s):  
Low Income ◽  
Coalition Government ◽  
School Outcomes ◽  
Distributional Effect ◽  
Low Income Families ◽  
Economic Inequalities

The reduction of socio-economic inequalities in school outcomes was a major priority of the Coalition Government in England from 2010–15. In this paper we examine the Coalition's policies and spending, including an analysis of the distributional effect of its pupil premium policy. We also look at trends in outcomes up to 2014. We find that although the pupil premium had a modest overall effect of distributing more money to schools with poorer intakes, this was nested within a wider set of policies which have disadvantaged low income families and children, and that there is evidence of socio-economic gaps widening on some indicators.

School Size, Characteristics, and Outcomes

1991 ◽  
Vol 13 (2) ◽  
pp. 189-202 ◽  
Author(s):  
William J. Fowler ◽  
Herbert J. Walberg
Keyword(s):  
Socioeconomic Status ◽  
School Districts ◽  
Secondary Schools ◽  
Student Retention ◽  
Low Income ◽  
Grade Level ◽  
School Size ◽  
College Attendance ◽  
School Outcomes ◽  
Low Income Families

To investigate school size effects for secondary schools, 18 school outcomes, including the average scores on state-developed tests, student retention, suspensions, postschool employment, and college attendance for 293 public secondary schools in New Jersey were regressed on 23 school characteristics, including district socioeconomic status and percentages of students from low-income families; school size and number of schools within each district; and teacher characteristics encompassing salaries, degree status, and years of experience. District socioeconomic status and the percentage of students from low-income families in the school were the most influential and consistent factors related to schooling outcomes. School size was the next most consistent and was negatively related to outcomes. This finding corroborates previous research conducted primarily on public elementary school and suggests that smaller school districts and smaller schools, regardless of socioeconomic status and grade level, may be more efficient at enhancing educational outcomes.

scholarly journals Maternal Work Hours and Adolescents' School Outcomes Among Low-Income Families in Four Urban Counties

Demography ◽  
2008 ◽  
Vol 45 (1) ◽  
pp. 31-53 ◽  
Author(s):  
Lisa A. Gennetian ◽  
Leonard M. Lopoo ◽  
Andrew S. London
Keyword(s):  
Low Income ◽  
Work Hours ◽  
School Outcomes ◽  
Maternal Work ◽  
Low Income Families

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.

Sign in / Sign up

Export Citation Format

Share Document