Draft
Using Machine Learning Techniques to Improving Average Treatment Effect Estimates in Small-Scale Randomized Controlled Trials
Develops a sufficient condition which ensures that the inclusion of covariates does not induce small-sample bias in the effect estimates when analyzing results of randomized controlled trials.
Nov 3, 2020
Report
Illustrating the Promise of Community Schools: An Assessment of the Impact of the New York City Community Schools Initiative
This report presents the impact of the New York Community Schools Initiative (NYC-CS) through the 2017--2018 school year by assessing the effects along seven outcome domains based on student- and school-level characteristics.
Jan 28, 2020
Research Brief
What Is the Impact of the New York City Community Schools Initiative?
In this brief, authors present the impact of the New York Community Schools Initiative (NYC-CS) through the 2017–2018 school year by assessing the effects along seven outcome domains based on student- and school-level characteristics.
Jan 28, 2020
Report
Teachers' Broad Impact: Understanding How Teachers Influence Students They Do Not Teach
The author discusses the potential ways that teachers can affect students whom they do not teach and how research suggests that a teacher's indirect reach could account for a large proportion of his or her overall contribution to student learning.
Dec 4, 2019
Report
Teachers Matter: Understanding Teachers' Impact on Student Achievement
The author articulates how research suggests that teachers are important to student achievement and how statistical methods can provide valuable but imprecise estimates of teacher effectiveness.
Dec 4, 2019
Report
Value-Added Modeling 101: Using Student Test Scores to Help Measure Teaching Effectiveness
The author discusses the use of value-added models (VAMs) to estimate teacher contribution to student progress, account for students' prior characteristics, and enable relative judgments, as well as the limitations of VAMs.
Dec 4, 2019
Research Brief
How Teacher Effectiveness Spills Over into Other Classrooms
RAND study has shown that, by increasing the ability of their own students, effective teachers also increase the ability of their students' future peers -- a significant effect that current "value added" teacher ratings system do not account for.
May 28, 2019
Draft
Assessing the Short-term Impact of the New York City Renewal Schools Program
Estimates short-term impacts of the New York City Renewal Schools Program based on the first two full years of program implementation.
Apr 5, 2019
Journal Article
Does Helping John Help Sue? Evidence of Spillovers in Education
This paper studies the indirect effect of teachers on their students' future peers and shows that these spillover effects are a large fraction of teachers total value.
Apr 3, 2019
Report
Preparing School Leaders for Success: Evaluation of New Leaders' Aspiring Principals Program, 2012–2017
This report analyzes whether schools and students led by graduates of New Leaders‘ Aspiring Principals program outperformed comparison schools and students in the same district.
Feb 25, 2019
Research Brief
Considerations for Implementing the TNTP Core Rubric
RAND researchers assessed whether the TNTP Core Teaching Rubric produces scores that are representative of teachers' overall instructional practices and whether raters' content expertise influences scores on TNTP Core.
Nov 7, 2018
Report
Validation Study of the TNTP Core Teaching Rubric
RAND researchers assess whether the TNTP Core Teaching Rubric produces scores that are representative of teachers' overall instructional practices and whether raters' content expertise influences scores on TNTP Core.
Nov 7, 2018