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Data Sharing Beliefs and Attitudes Code
Part of Project: Education Researchers’ Beliefs and Barriers towards Data Sharing
Description: This is the code for analyses run for our study. This includes frequencies and descriptive statistics, chi-square tests, and ANOVAs.
Investigators: Ally Hayward, Lexi Swanz
Code Type: Analysis
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Home Math Environment and Children's Math Achievement Meta-Analysis R code using the Metafor package
Part of Project: The Home Math Environment and Children's Math Achievment: A Meta-Analysis
Description: This code was written in R version 3.5.3 using the metafor package (Viechtbauer, 2010). First the dataset is called in, then the variables are converted to the correct formats for analysis, then the escalc() function is used to calculate an overall Fisher's Z effect size, which is then converted to an R correlation coefficient.
Investigators: Dr. Amy R. Napoli, Dr. Jamie M. Quinn, Dr. Sarah G. Wood, Mia C. Daucourt, Sara A. Hart
Code Type: Analysis
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Analysis Code for Sentence Context Effects Data
Part of Project: Sentence Context Effects on Word Processing Among School-Aged Children in Honduras
Description: This SPSS code takes the raw data posted as "SCE_Data".
Investigators: Author 1, Author 2
Code Type: Analysis
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MERF_soc_cog_syntax1.R
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.
Investigators: Emma R. Hart, Tyler W. Watts, Drew H. Bailey
Code Type: Analysis
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MERF_soc_cog_syntax2.do
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 (unpublished)
Investigators: Emma R. Hart, Tyler W. Watts, Drew H. Bailey
Code Type: Analysis
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Reading anxiety meta-analysis - R code
Part of Project: Reading Anxiety and Reading Achievement: A Meta-Analysis
Description: This is the code from the analysis ran for the reading anxiety meta-analysis.
Investigators: Rachelle Johnson
Code Type: Analysis
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Project 1 - Full meta-analysis, publication bias, and descriptive data analysis code
Part of Project: Speech and language skills in children with nonsyndromic cleft palate with or without cleft lip
Description: This code analyzes the "Project 1 - Speech and Language Skills in Young Children with Nonsyndromic Cleft Palate with or without Cleft Lip" data for descriptive counts, main effect sizes, impact of potential moderators, and publication bias. This code also visualizations this dataset with corresponding funnel plots.
Investigators: Hope Sparks Lancaster
Code Type: Analysis, Visualization
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Meta-analysis code for Project 3 Speech-Language Correlation
Part of Project: Speech and language skills in children with nonsyndromic cleft palate with or without cleft lip
Description: This code is the R code for determining the average correlation between (1) consonant inventory and expressive vocabulary and (2) consonant inventory and mean length of utterance. This code includes the meta-analyses and publication bias tests.
Investigators: Hope Sparks Lancaster
Code Type: Analysis
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Functional Specificity Paper Instructional Supervisors
Part of Project: Support networks for instructional supervisors and special education teachers
Description: This code includes everything necessary to replicate analyses in the Instructional Supervisor Functional Specificity Hypothesis paper (see preprint).
Investigators: Willa van Dijk
Code Type: Analysis
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All Mplus code to run the MNLFA models on WJ- LWID
Part of Project: Project KIDS
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, and scoring. Each section should be run separately in Mplus. There are 47 individual Mplus files included.
Investigators: Willa van Dijk
Code Type: Analysis
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All Mplus code to run the MNLFA models on WJ- PV
Part of Project: Project KIDS
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, and scoring. Each section should be run separately in Mplus. There are 24 individual Mplus files included.
Investigators: Willa van Dijk
Code Type: Analysis
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Quantile Regression Models for 6 projects ISI
Part of Project: Project KIDS
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 intervention effects: Do Individualized Student Intervention effects vary by student abilities and characteristics?"
Investigators: Willa van Dijk
Code Type: Analysis
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Internal consistency for PV and LWID
Part of Project: Project KIDS
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 Individualized Student Intervention effects vary by student abilities and characteristics?"
Investigators: Willa van Dijk
Code Type: Analysis
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Code to clean raw data into final public release dataset
Part of Project: Home Math Environment Study
Description: This code cleans up the raw data, re-names variables, recodes values, and codes subscales. The code was originally written in SAS.
Investigators: Sara A. Hart
Code Type: Data Management
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Code for teacher behavior ratings moderating treatment effectiveness
Part of Project: Project KIDS
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
Investigators: Willa van Dijk
Code Type: Analysis
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  • Document (127)
  • Organization (124)
  • Project (76)

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Special Populations

Educational Environments

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Persons

  • Willa van Dijk (6)
  • Drew H. Bailey (2)
  • Emma R. Hart (2)
  • Hope Sparks Lancaster (2)
  • Sara A. Hart (2)
  • Tyler W. Watts (2)
  • Ally Hayward (1)
  • Author 1 (1)
  • Author 2 (1)
  • Dr. Amy R. Napoli (1)
  • Dr. Jamie M. Quinn (1)
  • Dr. Sarah G. Wood (1)
  • Lexi Swanz (1)
  • Mia C. Daucourt (1)
  • Rachelle Johnson (1)

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This repository is a collaboration between the FSU Department of Psychology, the Florida Center for Reading Research, and the FSU Libraries. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

On March 25, 2025, the NIH requested that we post this text: "This repository is under review for potential modification in compliance with Administration directives."

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