Through several decades of research, a great deal has been written about trends in black-white test scores and the factors that may explain the gaps in different subject areas. Only a few studies have examined the changing relationships between gaps in students' test scores and family and school measures in nationally representative data over several periods. This article builds on this previous work and addresses some of its limitations by analyzing nationally representative data in 1972, 1982, 1992, and 2004 that provide consistent measures of high school seniors' mathematics achievement and several school and family measures. Together, these databases for four cohorts of high school seniors provide the opportunity to analyze associations between the gaps in black-white test scores and changes in family background and school characteristics (in terms of both changes in means and coefficients). The analyses reveal positive changes for black students relative to white students between 1972 and 2004, such as improvement in some socioeconomic family background characteristics. Yet, some school conditions (racial/ethnic and socioeconomic composition) did not improve for black students, and despite some beneficial changes, inequalities persist.

Patient-generated malpractice claims, as collected in the Swedish malpractice insurance system and adjusted for clinical volumes, have a high validity, as assessed by standardised physician review, and provide unique new information on malpractice risks, preventable medical errors and patient injuries. Systematic collection and analysis of patient-generated quality of care complaints should be encouraged, regardless of the malpractice compensation system in use.

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Given the importance of teachers to student learning, it is important to understand how and why charter schools differ in terms of their human capital. This paper explores the following questions: How do teacher qualifications and characteristics vary across school types? How much choice do teachers feel they have about where to work? How do teacher preferences for where to work differ by school type? Our findings suggest that charter school teachers do have different preferences for where to work compared to traditional public school teachers, but understanding these differences requires exploring differences among types of charter schools as well.

Background/Context Although there has been progress in closing the test score gaps among student groups over past decades, that progress has stalled. Many researchers have speculated why the test score gaps closed between the early 1970s and the early 1990s, but only a few have been able to empirically study how changes in school factors and social background characteristics relate to that convergence. The main reason for this is the lack of data for multiple student cohorts—information necessary for the examination of such relationships. Purpose/Objective/Research Question/Focus of Study We analyzed nationally representative data from 1972, 1982, 1992, and 2004, examining the mathematics achievement of four high school senior cohorts, and several school and family background characteristics. We examined how changes in these measures (in terms of means and coefficients) relate to the black-white and Latino-white test score gaps and to changes in school minority composition. Population/Participants/Subjects For our analysis, we used the following nationally representative data sets, which are part of the Longitudinal Studies (LS) program at the National Center for Education Statistics (NCES): National Longitudinal Study of the High School Class of 1972 (NLS-72); High School and Beyond senior cohort of 1982 (HSB-82); National Education Longitudinal Study senior cohort of 1992 (NELS-92); and Educational Longitudinal Study senior cohort of 2004 (ELS-04). Research Design Conducting secondary data analyses of these nationally representative data, we estimated a series of regressions for each senior cohort, entering the race dummy variables to estimate the unadjusted predicted mathematics test score difference between black and white students and between Latino and white students. Next, we estimated a series of multilevel regressions for each cohort to analyze how trends in school and social background measures are related to trends in the black-white and Latino-white mathematics test score gaps. Finally, we used the pooled coefficients in the decomposition of the difference between the predicted means of white and black test scores. Findings/Results Our estimates revealed that between 1972 and 2004, increases in school segregation corresponded to significant increases in the black-white and Latino-white test score gaps, outweighing the positive changes in family background measures for these minority groups. Conclusions/Recommendations Understanding how our society can address these countervailing forces—the improving socioeconomic conditions for black and Latino families on the one hand, and the increasing racial isolation of these students in schools on the other— necessitates innovative ideas and experimentation.