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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 following contains the analytic code used to generate the findings reported in "Delay of Gratification and Adult Outcomes: The Marshmallow Test Does Not Reliably Predict Adult Functioning" in Child Development. We also report the means, standard deviations, and correlations among the key variables used in this analysis here.
Project
Description: This LDbase project page containes the open science materials for our meta-analysis on the reading anxiety and reading achievement.
Dataset
Part of Project: Project KIDS
Description: This data set includes all total scores, demographics, home literacy environment, etc. for Project KIDS. Data are in wide format, with separate variables for each wave of assessments. All 4038 participants are represented in the data.
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 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: Project KIDS
Description: These data include information on family demographics, home environment, health information, child diet and nutrition, BRIEF, SWAN, all at the item level. This is cross-sectional data. Data can be linked to other Project KIDS data through the PK_ID variable.
Dataset
Part of Project: Reading Anxiety and Reading Achievement: A Meta-Analysis
Description: This is a spreadsheet format of table 4 that is included in the manuscript. Table 4 reports the reading anxiety measure used in each of 44 studies included in the reading anxiety meta-analysis.
Dataset
Part of Project: Reading Anxiety and Reading Achievement: A Meta-Analysis
Description: This is a spreadsheet format of table 3 that is included in the manuscript. Table 3 reports the study quality of the studies included in the reading anxiety meta-analysis. 14 quality indicators were selected from a suggested list by Protogerou and Hagger (2020) and adapted slightly in some cases to fit our current meta-analysis topic.
Dataset
Part of Project: Project KIDS
Description: These data are for each item on all achievement and behavioral assessments completed during the original intervention projects. The dataset is wide, with separate variable names for each wave of assessment. All participants (n= 4,038) are included. These data can be linked to the "total level" data using the PK_ID variable.
Dataset
Part of Project: Reading Anxiety and Reading Achievement: A Meta-Analysis
Description: This is the data that was extracted from existing studies for use in this meta-analysis on reading anxiety and reading achievement. This includes 44 studies. Many of the studies had multiple effect sizes. Each row of data represents a effect size (long format).
Code
Part of Project: Meta-analysis of Educational RCTs with Follow-up
Description: See README for Whitaker et al. (2025) 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 Whitaker et al. (2025) to orient to the organization of data and code.
Code Type: Visualization
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
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
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
