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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: The analysis of narratives often accompanies comprehensive language assessments of students. While analyzing narratives can be time-consuming and labor-intensive, recent advances in large language models (LLMs) indicate that it may be possible to automate this process.
Dataset
Part of Project: Promoting Adolescents’ Comprehension of Text (PACT)
Description: Students were in Grades 11 enrolled in general education social studies or in Grades 7-12 and enrolled in general education English/language arts classes. Data were collected using measures of reading and other academic skills, attitudes, and student characteristics. All students participated for one school year only.
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: Automated Narrative Scoring Using Large Language Models
Description: Narrative language samples elicited using the ALPS Oral Narrative Retell and Oral Narrative Generation tasks from diverse K-3 students. The tworaters data set was drawn randomly from the larger corpus of narrative language samples. These samples were scored by two raters for reliability purposes.
Dataset
Part of Project: Automated Narrative Scoring Using Large Language Models
Description: Narrative language samples elicited using the ALPS Oral Narrative Retell and Oral Narrative Generation tasks from diverse K-3 students. The training data set was drawn randomly from the larger corpus of narrative language samples.
Dataset
Part of Project: Automated Narrative Scoring Using Large Language Models
Description: Narrative language samples elicited using the ALPS Oral Narrative Retell and Oral Narrative Generation tasks from diverse K-3 students. The test data set was drawn randomly from the larger corpus of narrative language samples.
Dataset
Part of Project: Promoting Adolescents’ Comprehension of Text (PACT)
Description: Students were in Grades 8 enrolled in general education social studies or in Grades 7-12 and enrolled in general education English/language arts classes. Data were collected using measures of reading and other academic skills, attitudes, and student characteristics. All students participated for one school year only.
Dataset
Part of Project: Promoting Adolescents’ Comprehension of Text (PACT)
Description: Students were in Grades 8 or 11 and enrolled in general education social studies or in Grades 7-12 and enrolled in general education English/language arts classes. Data were collected using measures of reading and other academic skills, attitudes, and student characteristics. All students participated for one school year only.
Dataset
Part of Project: Promoting Adolescents’ Comprehension of Text (PACT)
Description: The Vocabulary and Comprehension (VoCo) project was a small study involving 44 struggling readers in Grade 9. The treatment was a multicomponent reading intervention delivered over 80 sessions during one school year. Data on measures of reading comprehension and fluency were collected at pre-test and post-test.
Dataset
Part of Project: Promoting Adolescents’ Comprehension of Text (PACT)
Description: Students were in Grade 11 enrolled in general education social studies or in Grades 7-12 and enrolled in general education English/language arts classes. Data were collected using measures of reading and other academic skills, attitudes, and student characteristics. All students participated for one school year only.
Dataset
Part of Project: Promoting Adolescents’ Comprehension of Text (PACT)
Description: In the 2013-14 school year, two PACT social studies RCTs were conducted, both with Grade 8 students. One study focused on schools with a higher percentage of English learners. The second study focused on struggling readers and provided a more intensified version of the PACT program.
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: Promoting Adolescents’ Comprehension of Text (PACT)
Description: This document serves as a codebook for all related project datasets. Project years and subtests are separated as distinct worksheets within the document. This codebook spans 4 years and contains information on a large variety of tests and measures, and as a result is quite long.
Document Type: Codebook
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
