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How to measure quality of delivery: Focus on teaching practices that help students to develop proximal outcomes

Diego Catalán Molina, Tenelle Porter, Catherine Oberle, Misha Haghighat, Afiya Fredericks, Kristen Budd, Sylvia Roberts, Lisa Blackwell, and Kali H. Trzesniewski

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How much students benefit from a school intervention depends on how well the intervention is delivered

When a new curriculum is introduced at a school, the quality of its implementation will vary across teachers. Does this matter? In this study, teachers varied widely in how well they implemented a 20-lesson social and emotional blended-learning curriculum. Teachers who delivered the program at higher quality, for example, encouraged student reflection and participation and provided feedback to students on how to improve skills. Teachers who delivered the program at higher quality had students with higher levels of motivation (growth mindset, effort beliefs, and learning goals) at the end of the program compared to teachers who delivered at lower quality.

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The Meta-Analytic Rain Cloud (MARC) Plot: A New Approach to Visualizing Clearinghouse Data

Kaitlyn G. Fitzgerald & Elizabeth Tipton

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What type of data do clearinghouses communicate?

As the body of scientific evidence about what works in education grows, so does the need to effectively communicate that evidence to policy-makers and practitioners. Clearinghouses, such as the What Works Clearinghouse (WWC), have emerged to facilitate the evidence-based decision-making process and have taken on the non-trivial task of distilling often complex research findings to non-researchers. Among other things, this involves reporting effect sizes, statistical uncertainty, and meta-analytic summaries. This information is often reported visually. However, existing visualizations often do not follow data visualization best practices or take the statistical cognition of the audience into consideration.

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Experimental Impacts of a Preschool Intervention in Chile on Children's Language Outcomes: Moderation by Student Absenteeism

Summary by: Hang (Heather) Do

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What was this study about?

Chronic absenteeism (missing more than 10% of school days or more in one year) negatively impacts children’s school achievement and development. Yet, little is known about how absenteeism influences the effectiveness of interventions. In this study, the authors examined whether absenteeism affected the impacts of an intensive two-year professional development (PD) intervention aiming to improve the quality of Chilean public preschool and kindergarten and enhance the language and literacy outcomes of participating children (UBC (Un Buen Comienzo/A Good Start)).

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Partially Identified Treatment Effects for Generalizability

Wendy Chan

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Will this intervention work for me?

This is one of the questions that make up the core of generalization research. Generalizations focus on the extent to which the findings of a study apply to people in a different context, in a different time period, or in a different study altogether. In education, one common type of generalization involves examining whether the results of an experiment (e.g., the estimated effect of an intervention) apply to a larger group of people, or a population.

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Using Multisite Experiments to Study Cross-Site Variation in Treatment Effects

Howard Bloom, Steve Raudenbush, Michael Weiss, & Kristin Porter

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Multisite randomized trials are experiments where individuals are randomly assigned to alternative experimental arms within each of a collection of sites (e.g., schools).  They are used to estimate impacts of educational interventions. However, little attention has been paid to using them to quantify and report cross-site impact variation. The present paper, which received the 2017 JREE Outstanding Article Award, provides a methodology that can help to fill this gap.

Why and how is knowledge about cross-site impact variation important?

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