The turnover rate for secondary school educators has increased to the highest in almost 30 years. Public teachers who leave teaching reported that general working conditions, increased job demands, and the inability to manage their workloads (organizational climate) contributed to their decision. The problem addressed in this study is that teacher…

Research on teacher churn has produced conflicting conclusions as to its impact on students and teachers. We bring clarity to this work by combining and expanding on analytical approaches used in earlier research to determine how and when different types of churn (i.e., grade, school) impact teacher effectiveness and attendance. Using data from…

We use Eurobarometer data to examine barriers to international student mobility. Multivariate analysis is employed to study how individual characteristics are related to the obstacles preventing higher education students from participating in activities in another EU country. The results suggest that several demographic factors including area of…

The main purpose of this empirical study was to investigate the predictive effect of school leaders' destructive leadership behavior on teachers' turnover intention. A mixed approach with embedded research design was employed. Multi-stage stratified sampling was applied to select 748 teacher respondents. Data were collected using adapted…

This quantitative correlational predictive study aimed to determine if and to what extent the factors of resiliency and effectiveness significantly predicted retention based on commitment of veteran special education teachers from public school districts in the Southeastern United States. The theoretical framework of teacher resilience defined and…

Turnover in the teacher workforce imposes significant costs to schools, both in terms of student achievement and the time and expense required to recruit and train new staff. This paper examines the potential for structured ratings of teacher applicants, solicited from their professional references, to inform hiring decisions through the selection…

This study examines various factors influencing teacher attrition. Relying on nationally representative, district-teacher matched data, we attempt to identify key determinants of teacher attrition by employing multilevel mixed-effects linear models, which control for commonalities among teachers within the same school district. We find that a…

Moving school is a major event for students, with potential impacts on both student and school performance. Students can experience a diversity of move types, including variation in timing, origin and destination, though this complexity is not always acknowledged in studies or educational policies, which tend towards binary distinctions of movers…

A correlational student was conducted to explore the relationships between student affairs professional self-efficacy, participation in professional development, and career commitment. For the quantitative portion, the researcher ran Pearson r correlations for self-efficacy scores, career commitment scores, and the number of professional…

Effective teaching contributes to student growth. Quality teaching requires experienced teachers. Yet teachers continue to leave the profession at an increasing rate. This study presents moderate to large differences in 22 reasons for attrition among five levels of teacher experience. Data from the 2011-12 School and Staffing Survey and the…

The COVID-19 pandemic has sparked a public health crisis impacting every aspect of the world. Within education, this crisis caused leaders to navigate through unknown territory. Researchers were overwhelmed seeking to identify effective school leadership before the COVID-19 pandemic. The health crisis has unleashed a host of challenges for…

This present work uses artificial neural networks (ANNs) to examine the association between various dimensions of coaching leadership and turnover Intention. The coaching leadership data were collected from 194 employees across multiple schools in Korea. The ANN models are capable of higher predictive accuracy than conventional linear regression…

Districts across the country are experiencing churn and uncertainty related to school staffing. In 2021, sixteen percent of teachers left their schools (National Center for Education Statistics 2022), and districts have struggled to fill the vacancies. In North Carolina, a survey of school districts identified over 11,000 vacancies that were…

Using publicly available data, the researchers examined variables that may predict English learner graduation rates (ELGR) at the school and school-system levels to determine whether the school average per pupil expenditure (PPE), the school mobility rate (MOB), the percentage of teachers out of field (TOF), and the percentage of inexperienced…

Purpose: The purpose of this study was to examine the antecedents and consequences of burnout among the Ethiopian Civil Service University and Kotebe Metropolitan University instructors in Ethiopia. Design/methodology/approach: The study employed purely quantitative research and then used a cross-sectional survey design. Therefore, questionnaires…