The impact of school factors on academic achievement has become an important focus for school social work and revealed the need for a comprehensive school social work model that allows for the identification of critical areas to apply social work services. This study was designed to develop and test a more comprehensive school social work model. Specifically, the relationship between cumulative grade point average (GPA) and the cumulative risk index (CRI) and an additive risk index (ARI) were tested and a comparison of the two models was presented. Over 20,000 abstracts were reviewed in order to create a list of factors which have been shown in previous research to impact academic achievement. These factors were divided into the broad domains of personal factors, family factors, peer factors, school factors, and neighborhood or community factors. Factors that were placed under the school domain were tested and those factors which met all three criteria were included in the overall model. Consistent with previous research, both the CRI and ARI were shown to be related to cumulative GPA. As the number of risk factors increased, GPA decreased. After a discussion of the results, a case was made for the use of an additive risk index approach fitting more with the current state of social work. In addition, selecting cutoff points for determining risk and non-risk students was accomplished using an ROC analysis. Finally, implications for school social work practice on the macro-, meso-, and micro- levels were discussed.

The purpose of study is to investigate the effects of school characteristics on students&rsquo / mathematics achievement across Turkey by analyzing the data collected from school questionnaire, student background questionnaire and mathematics achievement test in Trends in International Mathematics and Science Study 2007. The analyzed sample was comprised of 4,498 students in 146 schools. Student level factors were highest level of education of either parent, students speak the language of test at home, students&rsquo / parents born in country, books in home, computer and internet connection, computer use, index of time students spend doing mathematics homework in a normal school week, index of students&rsquo / positive affect toward mathematics, index of students&rsquo / valuing mathematics, index of students&rsquo / self confidence in learning mathematics. School related factors were principals reports on the percentages of students in their schools coming from economically disadvantaged homes, principals report on the percentage of students having the language of test as their native language, index of good attendance, principals time spent on various school related activities, schools encouragement of parental involvement, index of school resources for mathematics instruction, index of principals perception of school climate. Hierarchical Linear Modeling (HLM) was used for analysis. The result of the study showed that 45% of variance between schools, 54.6 % of variance was in schools, 57.33 % of school variance in mathematics achievement accounted by principals&rsquo / report on percentages of students coming from economically disadvantaged homes, parents to volunteer for school programs, school resources for mathematics instruction and principals&rsquo / perception of school climate.