Hierarchical linear modeling (HLM) has become an increasingly popular multilevel method of analyzing data among nested datasets, in particular, the effect of specialized academic programming within schools. The purpose of this methodological study is to demonstrate the use of HLM to determine the effectiveness of STEM programming in an Ohio middle…

Using data from Grades 5 to 7 of the longitudinal 4-H Study of Positive Youth Development (PYD), this research assessed the structure and development of PYD. Building on Grade 5 findings, that "Five Cs" (Competence, Confidence, Connection, Character, and Caring) could be empirically defined as latent constructs converging on a second-order…

Based on survey data and interview data collected over four academic years, this longitudinal study examined how a ubiquitous computing project evolved along with the changes in teachers, students, the human infrastructure, and technology infrastructure in the school. This study also investigated what conditions were necessary for successful…