While regression discontinuity has usually been applied retrospectively to secondary data, it is even more attractive when applied prospectively. In a prospective design, data collection can be focused on cases near the discontinuity, thereby improving internal validity and substantially increasing precision. Furthermore, such prospective…

The Success By 6® (SB6) initiative is designed to support early care and education centers in improving and sustaining quality in Pennsylvania's Keystone STARS Quality Rating and Improvement System (QRIS). The SB6 evaluation report examines implementation and outcomes. The findings have implications for SB6 continous quality improvement process…

We present a new method for analyzing a student's learning over time for a specific skill: analysis of the graph of the student's moment-by-moment learning over time. Moment-by-moment learning is calculated using a data-mined model that assesses the probability that a student learned a skill or concept at a specific time during learning (Baker,…

This research examines the effect of undergraduate course letter grades on future course selection and major choice. Using a Regression-Discontinuity design, we exploit the fact that the probability of earning a particular letter grade jumps discontinuously around letter grade cutoffs. This variation in letter grades allows us to isolate the…

Objectives: The purpose of this study was to develop a realist evaluation paradigm in social work evidence-based practice. Method: Wraparound (at Gateway-Longview Inc., New York) used a reliable outcome measure and an electronic database to systematically collect and analyze data on the interventions, the client demographics and circumstances, and…

This article demonstrates the use of mixed-effects logistic regression (MLR) for conducting sequential analyses of binary observational data. MLR is a special case of the mixed-effects logit modeling framework, which may be applied to multicategorical observational data. The MLR approach is motivated in part by G. A. Dagne, G. W. Howe, C. H.…