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Interest in single-sex classes continues to grow in the United States, but there has been little research at the elementary level in this country or elsewhere to help guide educators' decision-making about the overall value of single-sex classes in public schools and the specific value of single-sex classes in public schools for increasing boy's reading achievement. The major purpose of our study was to find out if single-sex classes in two public elementary schools in Arkansas, one in grade 5 and the other in grade 6, seemed to make a difference in boys' reading achievement in the 2008-2009 year, as judged by scores on annual state assessments. That is, did boys in an all-boys' class do better than, the same as, or worse than comparable boys in a mixed class? We were interested in whether boys' literacy scores significantly improved in a single-sex class because of the large and growing gap in reading (and writing) achievement between boys and girls by the high school years. The single-sex classes in the two elementary schools for which we had state assessment data showed differing results. In one school, boys in the boys' class gained significantly more in Literacy than boys in the mixed class. In the other school, boys in the boys' class did not gain significantly more or less than boys in the mixed class in Literacy, but they did gain significantly less than the boys in the mixed class on the Reading test from a nationally normed test that the school also gives. As we also found, girls did not gain significantly more in Mathematics in a girls' class than in a mixed class in either school, but they did not gain significantly less. However, the trends in gain scores for boys and girls in Literacy and in Mathematics tended to favor the single-sex classes. There does not seem to be an academic downside in experimenting with single-sex classes so far as is suggested by test results in these two elementary schools. Boys' and Girls' Scores in Mathematics are appended. (Contains 18 tables and 4 footnotes.)

School quality and grade completion by students are shown to be directly linked, leading to very different perspectives on educational policy in developing countries. Unique panel data on primary school age children in Egypt permit estimation of behavioral models of school leaving. Students perceive differences in school quality, measured as expected achievement improvements in a given school, and act on it. Specifically, holding constant the student's own ability and achievement, a student is much less likely to remain in school if attending a low quality school rather than a high quality school. This individually rationale behavior suggests that common arguments about a trade-off between quality and access to schools may misstate the real issue and lead to public investment in too little quality. Further, because of this behavioral linkage, there is an achievement bias such that common estimates of rates of return to years of school will be overstated. The paper demonstrates the analytical importance of employing output-based measures of school quality. (Contains 29 footnotes.)

Substantial uncertainty exists about the impact of school quality on the black-white achievement gap. Our results, based on both Texas Schools Project (TSP) administrative data and the Early Childhood Longitudinal Survey (ECLS), differ noticeably from other recent analyses of the black-white achievement gap by providing strong evidence that schools have a substantial effect on the differential. The majority of the expansion of the achievement gap with age occurs between rather than within schools, and specific school and peer factors exert a significant effect on the growth in the achievement gap. Unequal distributions of inexperienced teachers and of racial concentrations in schools can explain all of the increased achievement gap between grades 3 and 8. Moreover, non-random sample attrition for school changers and much higher rates of special education classification and grade retention for blacks appears to lead to a significant understatement of the increase in the achievement gap with age within the ECLS and other data sets. (Contains 20 tables, 2 figures and 42 footnotes.) An appendix is included which develops the decomposition presented in equation (1). [Support for this work has been provided by the Packard Humanities Institute.]