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Project
Description: Purpose: The special needs of young children (birth to 36 months) are not unidimensional. Early interventionists are challenged in developing interventions that fully address the needs of young children with developmental delays in multiple domains.
Project
Description: The Meta-analysis of Educational RCTs with Follow-up (MERF) dataset was created to investigate critical questions about educational intervention fadeout and persistence. The sample is comprised of interventions targeting a diverse array of child outcomes across development (e.g.
Project
Description: Project Goals:
The first goal will fill a CUREs gap by creating self-supporting and sustainable protein-centric
CUREs. The second goal will use this protein-centric CUREs community to examine two critical
aspects of a CURE: 1) the impact of the length of CUREs (course long CUREs (cCUREs) or shorter, modular
Project
Description: By leveraging technology, new knowledge will be gained on the linkage between teacher stress, teacher talk, teacher-student relationships, and pre-academic and social-emotional outcomes in Black and Latine students, paving the way for more efficacious interventions to reduce teacher stress.
Dataset
Part of Project: Malate Dehydrogenase CURE Community
Description: Data are from ~1,500 undergraduate students participating in a protein-centric CURE across 19 institutions. This is the data from Lopatto's CURE survey.
Dataset
Part of Project: Meta-analysis of Educational RCTs with Follow-up
Description: See README file(s) and MERF protocol for more details about this supplemental dataset.
Dataset
Part of Project: Meta-analysis of Educational RCTs with Follow-up
Description: See README file(s) and MERF protocol for more details about this supplemental dataset.
Dataset
Part of Project: Meta-analysis of Educational RCTs with Follow-up
Description: See README file(s) and MERF protocol for more details about this supplemental dataset.
Dataset
Part of Project: Meta-analysis of Educational RCTs with Follow-up
Description: See README file(s) and MERF protocol for more details about this dataset.
Dataset
Part of Project: Meta-analysis of Educational RCTs with Follow-up
Description: See README file(s) and MERF protocol for more details about this dataset.
Dataset
Part of Project: Malate Dehydrogenase CURE Community
Description: This is the pre and post test TOSLS data for the undergraduate students in this project.
Dataset
Part of Project: Malate Dehydrogenase CURE Community
Description: This contains institutional data gathered from some of the participating institutions including GPA, retention, and graduation data.
Dataset
Part of Project: Malate Dehydrogenase CURE Community
Description: This includes the variables from the STEM Career Interest Scale.
Dataset
Part of Project: Malate Dehydrogenase CURE Community
Description: This is the student data from the LCAS taken at the end of the semester.
Dataset
Part of Project: Malate Dehydrogenase CURE Community
Description: The faculty reported the CURE elements that were incorporated into their course after the semester was finished.
Dataset
Part of Project: Malate Dehydrogenase CURE Community
Description: This is the results of the faculty CURE survey given after the faculty taught the course.
Dataset
Part of Project: Malate Dehydrogenase CURE Community
Description: EDAT data from undergraduate students participating in a protein-centric CURE.
Code
Part of Project: Meta-analysis of Educational RCTs with Follow-up
Description: R code for analyses in Hart et al. (2024). See README for Hart et al. (2024) to orient to the organization of data and code.
Code Type: Analysis
Code
Part of Project: Meta-analysis of Educational RCTs with Follow-up
Description: See README for Hart et al. (2024) to orient to the organization of data and code. (unpublished)
Code Type: Analysis
Document
Part of Project: Meta-analysis of Educational RCTs with Follow-up
Description: This document details the creation of the MERF dataset. The first portion of the document includes high-level details about the steps involved in creating the dataset. The second portion of the document includes the guidelines used by the team when conducting the inclusion/exclusion process and coding itself.
Document Type: Other