Recent methods have sought to improve precision in randomized controlled trials (RCTs) by utilizing data from large observational datasets for covariate adjustment. For example, consider an RCT aimed at evaluating a new algebra curriculum, in which a few dozen schools are randomly assigned to treatment (new curriculum) or control (standard…

Data gathered from 325 middle school students in four U.S. states indicate that both male (p < 0.0005, RSQ = 0.33) and female (p < 0.0005, RSQ = 0.36) career aspirations for "being a scientist" are predictable based on knowledge of dispositions toward mathematics, science and engineering, plus self-reported creative tendencies. For…

Educators nationwide confront a troubling phenomenon: Increasingly, students leave high school unready for college, as evidenced by high rates of placement into remedial courses and low rates of college completion. Many students also lack either the attitudes or skills essential to succeed in a postsecondary setting, or knowledge of how to apply…

Spurred by the "No Child Left Behind Act" of 2001, virtually every educational reform program now includes an accountability component that requires sound data collection and reporting (NCLB, 2002, section 101). Drawing from empirically based and theoretical literature in the field, this dissertation examines Adequate Yearly Progress…