Suchergebnisse

The shift from decentralized to centralized A-level examinations (Abitur) was implemented in the German school system as a measure of Educational Governance in the last decade. This reform was mainly introduced with the intention of providing higher comparability of school examinations and student achievement as well as increasing fairness in school examinations. It is not known yet if these ambitious aims and functions of the new centralized examination format have been achieved and if fairer assessment can be guaranteed in terms of providing all students with the same opportunities to pass the examinations by allocating fair tests to different student subpopulations e.g., students of different background or gender. The research presented in this article deals with these questions and focuses on gender differences. It investigates gender-specific fairness of the test items in centralized Abitur examinations as high school exit examinations in Germany. The data are drawn from Abitur examinations in English (as a foreign language). Differential item functioning (DIF) analysis reveals that at least some parts of the examinations indicate gender inequality. (DIPF/Orig.) ; Die fast flächendeckende Implementation des Zentralabiturs in Deutschland als Maßnahme im Kontext der Neuen Steuerung im Bildungswesen ist eng mit dem Ziel verbunden, die Vergleichbarkeit von Schulabschlüssen und schulischen Leistungen insgesamt zu erhöhen und durch zentrale Prüfungen die Fairness von Leistungsfeststellungen im Sinne der Komparabilitätsfunktion zentraler Prüfungsformate zu sichern. Bisher ist jedoch nicht bekannt und untersucht, ob das Zentralabitur diesen Ansprüchen tatsächlich gerecht wird und die vorgenannten Funktionen so erfüllt, dass eine faire Leistungsmessung für unterschiedliche Schülersubgruppen gegeben ist. Auf der Grundlage von Daten zu differenzierten Schülerergebnissen zum Zentralabitur im Fach Englisch untersucht dieser Beitrag exemplarisch die geschlechtsspezifische Fairness von Abitur aufgaben. Eine Differential-Item-Functioning-Analyse (DIF-Analyse) zeigt, dass zumindest ein Teil der eingesetzten Aufgaben auf eine geschlechtsspezifische Ungleichbehandlung durch die Aufgabenstellung hinweist. (DIPF/Orig.)

Bureaucrats have considerable formal policymaking authority. Yet policymaking discussions often overlook the role that bureaucrats play in the policy process. Current theories suggest that bureaucratic policymaking outputs are shaped largely by political signals sent by elected officials. While these external influences are crucial, current theories understate the role of internal organizational dynamics. This study builds on the bureaucratic response and organizational attention literatures to differentiate internally organized attention from externally organized attention in public agencies. It then conceptualizes two ways that public managers can internally organize agency attention to influence formal bureaucratic policymaking in the context of contracting and procurement. This study adds to the public management literature by showing how internal managerial strategies and activities can influence bureaucratic outputs.

The final estimate of South Africa's population as of October 1996 from the first post-apartheid census by Statistics South Africa was lower (40·6 million) than expected (42 million). The expectation of a total population of 42 million was largely based on results of apartheid projections of South Africa's population. The results of the last apartheid census in South Africa in 1991 had been adjusted such that it was consistent with results modelling the population size of South Africa. The discrepancy between the final estimate of the 1996 census and that expected from the modelling described above, and the departure by Statistics South Africa from previous practice of adjusting the census results to be consistent with demographic models, has generated controversies regarding the accuracy of the final results from the 1996 census. This study re-examines levels and differential in fertility in South Africa from recent evidence in order to assess whether or not the fertility inputs in projections of South Africa's population during the apartheid era overestimated fertility.

AbstractDespite decades of research, how CEO compensation is determined remains an enigma. Drawing on agency, managerial hegemony, and institutional theoretical perspectives, we use hierarchical linear modelling—a multilevel analytic technique—to examine how firm‐, industry‐, and time‐level effects drive CEO compensation in US corporations. Results show that while cash salary is mostly driven by firm‐specific factors, equity‐based compensation responds to time‐level effects with firm‐ and industry‐level effects playing a marginal role. We argue that such evidence is consistent with the institutionalization of the CEO compensation determination process through the widespread adoption of benchmark peer‐group comparisons. Such practices underlie economy‐wide changes in CEO compensation that are increasingly disconnected from other fundamental firm‐ or industry‐specific factors. Copyright © 2015 ASAC. Published by John Wiley & Sons, Ltd.

Purpose Tanzania has implemented policies that aim at improving health sector performance as well as the general health status of citizens. Establishment of community insurance fund, increase government budget allocation in health sector, establishment of institutions for critical and special diseases like Tanzania Ocean road cancer institute, Muhimbili Orthopaedic Institute and many other that aim at improving sector efficiency. These efforts and policies had a direct impact on improving the health sector and achieving Sustainable Development Goals (SDGs). Despite these improvement efforts, the health sector continues to face enormous challenges. Among the major challenges identified is the level of inefficiencies in healthcare delivery. It is for this reason; this paper examines the scale efficiency level in Tanzania's public hospitals. Methods Using data from the Ministry of Health, this paper employs the Input based Data Envelopment Analysis (DEA) to examine Tanzania's public hospital efficiency levels. DEA has been applied because it can handle multiple inputs and output that can have different units simultaneously. Results Findings showed that the average scale efficiency was 78.6%.and 72.9%for regional and district hospitals respectively. Additionally, 43.8% of the regional referral hospitals attained the most productive scale size compared to 21.05% in district hospitals. Conclusion The study concludes that there is dire need for the ministry of health to consider resource reallocation across public hospitals. Periodic re-estimation of efficiency levels coupled with increased health care input injection is of urgent need.

PURPOSE: Tanzania has implemented policies that aim at improving health sector performance as well as the general health status of citizens. Establishment of community insurance fund, increase government budget allocation in health sector, establishment of institutions for critical and special diseases like Tanzania Ocean road cancer institute, Muhimbili Orthopaedic Institute and many other that aim at improving sector efficiency. These efforts and policies had a direct impact on improving the health sector and achieving Sustainable Development Goals (SDGs). Despite these improvement efforts, the health sector continues to face enormous challenges. Among the major challenges identified is the level of inefficiencies in healthcare delivery. It is for this reason; this paper examines the scale efficiency level in Tanzania's public hospitals. METHODS: Using data from the Ministry of Health, this paper employs the Input based Data Envelopment Analysis (DEA) to examine Tanzania's public hospital efficiency levels. DEA has been applied because it can handle multiple inputs and output that can have different units simultaneously. RESULTS: Findings showed that the average scale efficiency was 78.6%.and 72.9%for regional and district hospitals respectively. Additionally, 43.8% of the regional referral hospitals attained the most productive scale size compared to 21.05% in district hospitals. CONCLUSION: The study concludes that there is dire need for the ministry of health to consider resource reallocation across public hospitals. Periodic re-estimation of efficiency levels coupled with increased health care input injection is of urgent need.