Effects of a Summer Reading Intervention on the Reading Performance of Elementary Grade Students from Low-Income Families

2020 ◽  
pp. 1-21
Author(s):  
Kristen D. Beach ◽  
Zoi A. Traga Philippakos
1994 ◽  
Vol 30 (5) ◽  
pp. 679-689 ◽  
Author(s):  
Grover J. Whitehurst ◽  
David S. Arnold ◽  
Jeffrey N. Epstein ◽  
Andrea L. Angell ◽  
et al

2018 ◽  
Vol 34 (3) ◽  
pp. 263-280 ◽  
Author(s):  
Kristen D. Beach ◽  
Ellen McIntyre ◽  
Zoi A. Philippakos ◽  
Maryann Mraz ◽  
Paola Pilonieta ◽  
...  

2019 ◽  
Vol 3 (4) ◽  
pp. p423
Author(s):  
Hsin-Hui Lin ◽  
Liping Wei

This study explored reading development in low income children of English Language learners (ELLs) from kindergarten to the fourth grade. Data used in this study came from the Early Childhood Longitudinal Study, Kindergarten Class of 2010-2011 (ECLS-K: 2011). A sample size was 3,451 students below the poverty threshold. The independent variables were the indicators of home language and gender. The six dependent variables were students’ reading item response theory (IRT) scale scores in the fall and spring semester of the kindergarten year and all the spring semesters from the first to the fourth grade. Six full 2-way analysis of variance (ANOVA) models were used for the statistical analyses. The results found there is a gender difference in children’s reading performance, with female doing slightly better than male students. The low-income children’s performance in reading IRT scores has shown differences among the three groups. The English Only Learners (EOL) had the highest mean scores throughout the five years. The group of Multilingual Learners (ML) and English Language Learner (ELL) group had mixed results of the second or lowest scores among these three groups. Among the six subgroups the EOL female had the highest mean scores throughout the five years.


2014 ◽  
Vol 84 (5-6) ◽  
pp. 244-251 ◽  
Author(s):  
Robert J. Karp ◽  
Gary Wong ◽  
Marguerite Orsi

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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