Missing data is a common challenge to any researcher in almost any field of research. In particular, human participants in research do not always respond or return for assessments leaving the researcher to rely on missing data methods. The most common methods (i.e., Multiple Imputation and Full Information Maximum Likelihood) assume that the…

As the international large-scale assessments (ILSAs) become more popular, policy makers and education practitioners are interested in collecting as much student background information as possible to better understand the learning context of their students. To collect such abundant information, administrators need to develop a lot of questions.…

Numerous ways to meta-analyze single-case data have been proposed in the literature, however, consensus on the most appropriate method has not been reached. One method that has been proposed involves multilevel modeling. This study used Monte Carlo methods to examine the appropriateness of Van den Noortgate and Onghena's (2008) raw data multilevel…

This is a dissertation in three essays. The first essay traces changes over time in three factors that drive students' sensitivity to changes in tuition prices and presents an argument that these factors have changed differently for access to higher education and choice among alternative institutions. The essay explores the application of a…

The research problem addressed in this study was the lack of trust between faculty-principal, faculty-client, and faculty-colleague in U.S. secondary schools. The purpose of the study was to determine the relationship between communicator styles and perceptions of trust. Organizational trust theory served as the theoretical foundation. A…