Longitudinal data analysis in education is the study growth over time. A longitudinal study is one in which repeated observations of the same variables are recorded for the same individuals over a period of time. This type of research is known by many names (e.g., time series analysis or repeated measures design), each of which can imply subtle…

Purpose: This paper aims to investigate the relationship between psychological empowerment, job satisfaction, and burnout among vice-principals (VPs) in primary schools. Design/methodology/approach: A total of 103 VPs at 103 different primary schools in Germany were surveyed with a questionnaire that assessed the four dimensions of psychological…

This book provides a uniquely accessible introduction to multilevel modeling, a powerful tool for analyzing relationships between an individual level dependent variable, such as student reading achievement, and individual-level and contextual explanatory factors, such as gender and neighborhood quality. Helping readers build on the statistical…

Background: Accountability demands are increasingly pushing school leaders to explore more data and do more sophisticated analyses. Data-driven decision making (DDDM) has become an emerging field of practice for school leadership and a central focus of education policy and practice. Purpose: This study examined principals' DDDM practices and…

A study at the University of Tennessee Knoxville used mixed-effect structural equation models incorporating latent variables as an alternative to conventional methods of analyzing college students' (n=722) first-year-to-senior academic gains. Results indicate, contrary to previous analysis, that coursework and student characteristics interact to…

A study integrated the major propositions of 2 theories of college persistence (Tinto's and Bean's) and used the resulting framework to survey a population of 466 first-year college students at 1 university. Findings supported most of the hypothesized links between the models and revealed a complex role for environmental factors in retention.…

A study (n=139 students) used hierarchical structural equation modeling to examine the relationship between intellectual development and identity from the beginning of the freshman year through the end of the sophomore year. Results suggest that the college freshman's sense of identity is important in later intellectual development. Intervention…