Project KIDS aimed to rigorously combine data from several independent RCTs to explore individual differences in response to intervention, focused on cognitive, behavioral, contextual, and family history correlates of intervention response. The complete project includes data on academic achievement, cognitive development, behavior, context, and family history. 4,035 individual students contributed data to Phase 1, and parents of 442 of these students filled out a parent questionnaire in Phase 2.
Project: Project KIDS
DOI
https://doi.org/10.33009/ldbase.1619716971.79ee
Project Active From
April 2013
to
March 2015
Educational Environment
Project Method(s)
Developmental Design
Funding Agency
/ Grant Number
National Institutes of Health [NIH]
/ R21HD072286
Most Recent Datasets in Project
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Dataset: Project KIDS Item level Data
Last update: August 15, 2023
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 asses... -
Dataset: Project KIDS Total Scores Data
Last update: April 25, 2023
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 partici... -
Dataset: Project KIDS Survey Data
Last update: November 11, 2021
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 lin...
Most Recent Documents in Project
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Document: Mplus Output MNLFA models PV
Last update: January 31, 2025
Description: This file contains all Mplus output for the 23 Mplus models to generate scaled factor scores for PV using MNLFA. -
Document: Mplus output MNLFA models LWID
Last update: January 31, 2025
Description: This file contains all Mplus output for the 47 Mplus models to generate scaled factor scores for LWID using MNLFA. -
Document: Generated factor scores for LWID
Last update: January 31, 2025
Description: These are the generated factor scores through MNLFA for LWID. -
Document: Wave 3 LWID data
Last update: January 31, 2025
Description: This is the data sample needed to run the CFA for LWID wave 3. -
Document: Wave 1 LWID data
Last update: January 31, 2025
Description: This is the data sample needed to run the CFA for LWID wave 1. -
Document: Full data sample to generate factor scores from MNLFA models LWID
Last update: January 31, 2025
Description: This is the data sample needed to generate factor scores for the LWID MNLFA models -
Document: Calibration sample for MNLFA models LWID
Last update: January 31, 2025
Description: This is the calibration data sample to run the measurement invariance models for LWID using MNLFA in Mplus. -
Document: Wave 3 PV data
Last update: January 31, 2025
Description: This is the data sample needed to run the CFA for PV wave 3. -
Document: Wave 1 PV data
Last update: January 31, 2025
Description: This is the data sample needed to run the CFA for PV wave 1. -
Document: Generated Factor Scores
Last update: January 31, 2025
Description: These are the generated factor scores through MNLFA for PV. -
Document: Full data sample to generate factor scores from MNLFA models PV
Last update: January 31, 2025
Description: This is the data sample needed to generate factor scores for the PV MNLFA models -
Document: Calibration sample for MNLFA models PV
Last update: January 31, 2025
Description: This is the calibration data sample to run the measurement invariance models for PV using MNLFA in Mplus. -
Document: Stage 1 Registered Report - Quantile Regression on ISI effectiveness
Last update: January 31, 2025
Description: This is the accepted Stage 1 registered report version of the paper "Examining differential intervention effects: Do Individualized Student Intervention effects vary by student abilities and character... -
Document: Helpful figure laying out participant flow and timing of Project KIDS
Last update: November 11, 2021
Description: This is a useful figure for new users of Project KIDS to see how the project worked. It lists the original projects, dates, and sample sizes of each component of Project KIDS. -
Codebook: Project KIDS Family Survey Data Codebook Companion
Last update: November 11, 2021
Description: This is the companion to the codebook for the Project KIDS Survey Data dataset. The companion contains information on original publications, recoded variables, and total and sum score variables. -
Codebook: Project KIDS Survey Data Codebook
Last update: November 11, 2021
Description: This is the codebook accompanying the data from Project KIDS Survey Data. Uploaded as a dependent is the codebook companion containing information on recoded variables. -
Codebook: Codebook for Full Data Project KIDS
Last update: November 11, 2021
Description: This codebook accompanies the Project KIDS Total Scores Dataset. This codebook contains information on all standardized assessments, including total scores, scaled scores, sum scores on subscales. Add... -
Codebook: Codebook for Item level data from Project KIDS
Last update: November 11, 2021
Description: This is the codebook accompanying the item level dataset from Project KIDS. For each of the assessments, it provides information on subtests, waves, and grades, when applicable.
Most Recent Code in Project
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Code: Internal consistency for PV and LWID
Last update: January 31, 2025
Description: This code calculates internal consistency for 6 ISI projects. Including alpha for the total sample, and by project. This code accompanies "Examining differential intervention effects: Do Individualize... -
Code: Quantile Regression Models for 6 projects ISI
Last update: January 31, 2025
Description: This code generates descriptive statistics, Mplus input files for MNLFA models, multiple imputation, and multi-level quantile regression models that accompany the paper "Examining differential interve... -
Code: All Mplus code to run the MNLFA models on WJ- PV
Last update: January 31, 2025
Description: This code takes 4 different datasets generated through the R code (EC_IDA_QR) and runs the MNLFA procedures in Mplus. All aspects of MNLFA are included, CFA, initial measurement variance, calibration,... -
Code: All Mplus code to run the MNLFA models on WJ- LWID
Last update: January 31, 2025
Description: This code takes 4 different datasets generated through the R code (EC_IDA_QR) and runs the MNLFA procedures in Mplus. All aspects of MNLFA are included, CFA, initial measurement variance, calibration,... -
Code: Code for teacher behavior ratings moderating treatment effectiveness
Last update: October 10, 2022
Description: This code accompanies the preprint Do Student Behavior Ratings Predict Response to Tier 1 Reading Interventions? (10.35542/osf.io/jfxz5). Code is for R version 4.2.1 (2022-06-23) )macOS Montery 12.5