Using Cluster Analysis to Determine Factors of Success in Local Chicago High Schools

There have been many methodologies to rank schools in the past. Many of these are based on graduation rates, but they do not show the reason why some schools have greater success than others. The goal of our study is to look at environmental factors that may lead to school success. These factors are critical in finding out relevant solutions so that equality can be achieved in public schooling. We found, by using cluster analysis, several important factors that correlate with school success. These factors give impactful insights into the harsh reality of the inequality in public schooling. By using these clusters of different types of schools, policymakers can make informed decisions when allocating funds and be able to better provide for the school districts and the students within them that are in need of the most help

Motives and modifying factors for giving or rejecting psychiatric diagnoses in general medicine and psychiatry – a qualitative interview study

Abstract Background There is a discussion among general practitioners and psychiatrists regarding over-diagnosing versus under-reporting of psychiatric diagnoses. A deeper understanding of this topic is relevant for providing reasonable health care and for planning future studies. A crucial factor to understanding this discussion is the difference in the prevalence of a disease in each sector. One way to attain knowledge about such prevalences is the analysis of routine care data of the sector in question. However, diagnosis-related data might be modified by several additional influencing factors. Aims This study aims to explore what kind of motives and modifying factors play a role for or against giving psychiatric diagnoses in psychiatric and general medical settings. Methods Twenty-six semi-structured interviews were conducted with German physicians in the fields of general medicine and psychiatry. Interviews were analysed using content analysis. Results The analysis revealed three major motivational categories for finding a diagnosis: (1) “objective matters” such as “categorisation for research”; (2) “functional and performance-related factors” such as “requirement for medication”, “billing aspects” that go with certain diagnoses or “access to adequate care” and (3) “Individual factors” such as the “personality of a physician”. Similarly, factors emerged that lead to not making psychiatric diagnoses like “fear of stigmatization among patients” or “detrimental insurance status with psychiatric diagnosis”. Additionally participants mentioned other reasons for “not diagnosing a psychiatric diagnosis“, such as “coding of other clinical pictures”. Conclusion The diagnostic process is a complex phenomenon that goes far beyond the identification of medical findings. This insight should be considered when processing and interpreting secondary data for designing health care systems or designing a study

Student Composition Recital

KSU presents Student Compostition Recital.https://digitalcommons.kennesaw.edu/musicprograms/1234/thumbnail.jp