The synthetic control method (SCM) is a popular approach for estimating the impact of a treatment on a single unit with panel data. Two challenges arise with higher frequency data (e.g., monthly versus yearly): (1) achieving excellent pre-treatment fit is typically more challenging; and (2) overfitting to noise is more likely. Aggregating data…

In multisite trials, learning about treatment effect variation across sites is critical for understanding where and for whom a program works. Unadjusted comparisons, however, capture "compositional" differences in the distributions of unit-level features as well as "contextual" differences in site-level features, including…

School and district leaders make annual decisions about investing their budgets in a multitude of educational programs. Policy directives set expectations for investing in programs that show evidence of improving student outcomes. However, evaluating many simultaneously-implemented programs under typical school operating conditions is challenging.…

Given the widespread use of non-experimental (NE) methods for assessing program impacts, there is a strong need to know whether NE approaches yield causally valid results in field settings. In within-study comparison (WSC) designs, the researcher compares treatment effects from an NE with those obtained from a randomized experiment that shares the…

Sperry, Sperry, and Miller (2018) aim to debunk what is called the 30-million-word gap by claiming that children from lower income households hear more speech than Hart and Risley (1995) reported. We address why the 30-million-word gap should not be abandoned, and the importance of retaining focus on the vital ingredient to language…

Large-scale assessments are supported by a large item pool. An important task in test development is to assign items into scales that measure different characteristics of individuals, and a popular approach is cluster analysis of items. Classical methods in cluster analysis, such as the hierarchical clustering, K-means method, and latent-class…

Mathematical discussions in which students compare alternative solutions to a problem can be powerful modes for students to engage and refine their misconceptions into conceptual understanding, as well as to develop understanding of the mathematics underlying common algorithms. At the same time, these discussions are challenging to lead…

In the present chapter, we review the evidence for several principles that are especially promising for improving mathematics instruction. Using the classification scheme proposed by Koedinger et al. (2013), we begin with principles that focus on improving memory and fluency: scaffolding, distributed practice, and feedback. We then move to worked…

The purpose of this study was to examine the impact of the Florida Master Teacher Initiative (FMTI)--an i3-funded early learning program aimed at improving the quality of teaching and student outcomes in grades PreK through third grade in high need schools. The FMTI schools participated in four program components: (1) a job-embedded graduate…

The article describes an application of the Organizational Climate Descriptive Questionnaire (OCDQ) in the author's dissertation. He explored the possible relationships among [Fred] Fiedler's assessment of psychological distance of the leader (the principal) and the organizational climate of schools as assessed by the then recently developed OCDQ…

The comparison of the Russian and American experience regarding media violence, standards for rating Russian media programs, and a course of study on media violence for students will have a significant impact upon Russian society, will raise Russian societal and governmental attention to the infringement of the Rights of the Child on the Russian…