MDRC Series

collection: series

About this Collection

MDRC is committed to finding solutions to some of the most difficult problems facing the nation — from reducing poverty and bolstering economic self-sufficiency to improving public education and college graduation rates. We design promising new interventions, evaluate existing programs using the highest research standards, and provide technical assistance to build better programs and deliver effective interventions at scale. We work as an intermediary, bringing together public and private funders to test new policy-relevant ideas, and communicate what we learn to policymakers and practitioners — all with the goal of improving the lives of low-income individuals, families, and children.

Included in this series are datasets from MDRC studies spanning multiple areas of policy work, including low-wage workers, criminal justice, families and children, postsecondary education, and K-12 education. These datasets stem from a range of projects, including analyses of academic programs for middle school students, parole-based interventions, and welfare-to-work strategies. Select a dataset below to learn more.

Studies

41 results
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Higher Achievement Evaluation, United States, 2014-2019

The Higher Achievement evaluation is a longitudinal, randomized controlled trial study of Higher Achievement, an intensive summer and after-school program that offers participants more than 500 hours of academic enrichment activities a year to help them meet the high academic standards expected of college-bound students.

Higher Achievement students ("scholars") enter the program during the summer before either fifth or sixth grade and commit to attending through eighth grade. This study collected school records data from the 2014-2015 school year through the 2018-2019 school year on three cohorts of scholars, starting with the scholars' year before entering the program (baseline) and two years of follow-up post program entry.

These student records included course grades, standardized test scores, attendance information, and demographic variables. In addition, surveys were conducted among center directors of Higher Achievement centers, mentor volunteers, and parents of scholars to collect information on program implementation and service contrast between program-attending and control students.

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MDRC's The Higher Education Randomized Controlled Trials Restricted Access File (THE-RCT RAF), United States, 2003-2024

The Higher Education Randomized Controlled Trial (THE-RCT) study aims to capitalize on existing data from postsecondary education RCTs to foster substantive and methodological scholarship and encourage teaching and learning opportunities. The cornerstone of THE-RCT is a restricted access file (RAF). The initial version contains individual-participant data from more than 25 of MDRC's higher education RCTs covering 50 institutions and over 50,000 students. The data were originally collected as part of different randomized controlled trial evaluations of a variety of higher education interventions. The data were collected for different student samples, at different times, and in different locations for each study.

The data were collected from four data sources: 1. Baseline: Baseline student demographic data (e.g., gender, race/ethnicity, age, etc.) were gathered, either via a survey administered to students upon joining the study (but prior to random assignment) or from study colleges' administrative records; 2. College Transcript: Student transcript data (e.g., enrollment, credits attempted, credits earned, GPA) were provided by the study colleges or state higher education agencies; 3. College Credential Attainment: Student credential attainment data were provided by the study colleges or state higher education agencies; 4. National Student Clearinghouse: Student enrollment and credential attainment data were provided by the National Student Clearinghouse via their StudentTracker database. This includes enrollment and credential attainment data at colleges beyond the colleges where the study took place.

The RAF contains student-level data, including baseline demographics (e.g., gender, race/ethnicity), outcomes (e.g., enrollment, credits earned, credentials), an indicator of experimental group (e.g., program or control group), and study variables (e.g., a variable that allows users to link to the RCT-level database).

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The Expanding Children's Early Learning (ExCEL) Quality Study: Improving Preschool and Early Care and Education (ECE) Instruction through Curricula, Coaching, and Training, United States, 2019-2021

The Expanding Children's Early Learning (ExCEL) Quality Study: Improving Preschool and Early Care and Education (ECE) Instruction through Curricula, Coaching, and Training was funded by Arnold Ventures and conducted by MDRC and its subcontractors, MEF Associates and RTI International. The study consisted of two phases: ExCEL Quality (EQ; 2019-2020) and ExCEL Quality Continuation (EQC; 2020-2021). This collection contains analysis datasets with calculated measures at the child (DS2) and classroom (DS3) levels, a samples dataset for each phase (EQ = DS1, EQC = DS20), and raw data organized by study phase and data source.

ExCEL Quality

In the EQ study, the research team conducted an experimental study testing two interventions that consisted of curricular and professional development support and that targeted different dimensions of classroom quality, namely:

  • A whole-child intervention that targets structural and interactional aspects of classroom quality, using The Creative Curriculum for Preschool, 6th Edition
  • A domain-specific intervention with a specific scope and sequence that targets instructional aspects of classroom quality, using Connect4Learning, 1st Edition

ECE centers were selected across four U.S. localities in Head Start and community-based child care settings and were randomly assigned to one of three research conditions (Creative Curriculum, Connect4Learning, or preschool-as-usual). The project was originally designed to assess the impacts of each of the interventions on the content of instruction, teacher practices, classroom quality, and child outcomes, as well as to collect program implementation data. However, because of the COVID-19 pandemic that began in March of the 2019-2020 school year, adjustments were made to the guiding questions and research aims, data sources, and analysis.

ExCEL Quality Continuation

The EQC Study was a non-experimental study, aiming to understand ECE teachers' and administrators' experiences during the COVID-19 pandemic (2020-2021 school year). The sample was a subset of the centers that participated in EQ in the 2019-2020 school year (n=26), plus five newly recruited centers. EQC provided stress management workshops and curricular support (Creative Curriculum or Connect4Learning) to participating centers regardless of their original research condition in EQ.

Variables

44,991 results

FGIQ_NUM_CHILDREN : # of Children

Study: The Expanding Children's Early Learning (ExCEL) Quality Study: Improving Preschool and Early Care and Education (ECE) Instruction through Curricula, Coaching, and Training, United States, 2019-2021

GIQ_NUM_CHILD : # of Children:

Study: The Expanding Children's Early Learning (ExCEL) Quality Study: Improving Preschool and Early Care and Education (ECE) Instruction through Curricula, Coaching, and Training, United States, 2019-2021

FGIQ_NUM_OTHERSTAFF : # of Other Staff

Study: The Expanding Children's Early Learning (ExCEL) Quality Study: Improving Preschool and Early Care and Education (ECE) Instruction through Curricula, Coaching, and Training, United States, 2019-2021