2000
DOI: 10.2307/2673198
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The Distribution of Dropout and Turnover Rates among Urban and Suburban High Schools

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Cited by 298 publications
(226 citation statements)
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References 42 publications
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“…Regarding the effects of schools on dropout, both the socioeconomic composition and the relationships at school seem to predict the chances to dropout. In line with Rumberger and Thomas (2000), we conclude that high-SES schools have lower dropout rates compared to schools with an average SES-composition. We can draw similar conclusions regarding the effect of school climate on the chance to dropout: schools where the relationships between students and teachers are better, tend to have lower dropout rates.…”
Section: Discussionsupporting
confidence: 64%
See 1 more Smart Citation
“…Regarding the effects of schools on dropout, both the socioeconomic composition and the relationships at school seem to predict the chances to dropout. In line with Rumberger and Thomas (2000), we conclude that high-SES schools have lower dropout rates compared to schools with an average SES-composition. We can draw similar conclusions regarding the effect of school climate on the chance to dropout: schools where the relationships between students and teachers are better, tend to have lower dropout rates.…”
Section: Discussionsupporting
confidence: 64%
“…Lee and Burkam (2003) focused on school academic and social organization and concluded that students were less likely to drop out in schools where relationships between teachers and students are more positive. Furthermore, Rumberger and Thomas (2000) concluded that high-SES schools had 40% lower dropout rates than average SES schools, whereas low-SES schools had 60% higher dropout rates than an average SES school.…”
Section: Introductionmentioning
confidence: 99%
“…Because the outcome variable in this study was dichotomous, the variance of the outcome variable was heteroscedastic at the student level; therefore, the ICC was not an informative means of justifying the use of HGLM. Instead, we followed the recommendations of Raudenbush and Bryk (2002) and the example of several scholars (e.g., Hurtado et al 2008;Rumberger and Thomas 2000;Titus 2004) by examining box plots of estimates of Empirical Bayes (EB) residuals to determine whether the transfer rates varied across institutions. These plots suggested variation across institutions in students' average likelihood of transferring; thus, we proceeded with the use of HGLM statistical analyses.…”
Section: Analysesmentioning
confidence: 99%
“…The abundant literature about this topic has paid particular attention to the differential performance of students in Catholic and other private schools, as contrasted with those in lay public schools (10,(13)(14)(15). Educational researchers have identified school composition as one of the key areas responsible for schools' differences in overall academic success and rates of dropout (16). School compositional effects constitute the aggregate influence of school peers on a student's school experience, above and beyond the effects of the individual student's own particular peers (17)(18)(19).…”
Section: Theoretical Backgroundmentioning
confidence: 99%