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  • Dr. Amy R. Napoli
  • Tamika L. McElveen
  • Likai Chen

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The Home Math Environment and Children's Math Achievment: A Meta-Analysis
Description: Mathematical thinking is in high demand in the global market, but approximately six percent of school-age children across the globe experience math difficulties (Shalev, et al., 2000).
Investigators: Mia C. Daucourt, Dr. Amy R. Napoli, Dr. Jamie M. Quinn, Dr. Sarah G. Wood, Sara A. Hart
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Early Home Learning Environment
Description: In an attempt to bridge the opportunity gap that exists prior to schooling, understanding the specific activities, resources, and interactions that take place in the home that encourage higher academic achievement has become a primary concern in the field.
Investigators: Alexa Ellis, Yemimah A. King, Lauren Westerberg, Connor D. O'Rear, Caroline Byrd Hornburg, Tamika L. McElveen, Erica L. Zippert, Jimena Cosso, Susana Beltrán-Grimm, Patrick C. Ehrman, David J. Purpura
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Meta-Analysis Codebook of Final Articles with Effect Sizes, Sample Sizes, and Moderators
Part of Project: The Home Math Environment and Children's Math Achievment: A Meta-Analysis
Description: The data are in long form, with some studies having multiple lines and includes a sample of children ranging from 3.54 to 13.75 years old. The main effect size is the r, correlation coefficient, and the accompanying sample size is also included.
Investigators: Dr. Amy R. Napoli, Dr. Jamie M. Quinn, Dr. Sarah G. Wood, Mia C. Daucourt, Sara A. Hart
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Early Home Learning Environment Dataset
Part of Project: Early Home Learning Environment
Description: These data are parent reports of survey questions about their beliefs and their children's home learning environments. Data are cross-sectional and include responses from parents with children ranging from 0 - 13 years of age.
Investigators: Alexa Ellis, Yemimah A. King, Lauren Westerberg, Connor D. O'Rear, Caroline Byrd Hornburg, Tamika L. McElveen, Erica L. Zippert, Jimena Cosso, Susana Beltrán-Grimm, Patrick C. Ehrman, David J. Purpura
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TikTok #depo #depoprovera evaluation of video and content creator
Part of Project: #DepoProvera, An analysis of the most popular TikTok videos about Medroxyprogesterone Acetate
Description: Final categorization of each TikTok video used in the study. Categorical options are shown in the drop down of each cell.
Investigators: Carter Wolf, Likai Chen, Britta Black, Dawn Kopp
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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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EHLE Dataset Codebook
Part of Project: Early Home Learning Environment
Description: This is the codebook accompanying the full EHLE data set. It includes descriptions of variables and data collection processes.
Investigators: Alexa Ellis, Yemimah A. King, Lauren Westerberg, Connor D. O'Rear, Caroline Byrd Hornburg, Tamika L. McElveen, Erica L. Zippert, Jimena Cosso, Susana Beltrán-Grimm, Patrick C. Ehrman, David J. Purpura
Document Type: Codebook
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Content Type

  • Dataset (3)
  • Project (2)
  • Code (1)
  • Document (1)

Constructs

  • Communalism (1)
  • Home Executive Function Environment (1)
  • Home Experiences (1)
  • Home Literacy Environment (1)
  • Home Numeracy Environment (1)
  • Home Science Environment (1)
  • Math (1)
  • Math Anxiety (1)

Assessments

  • Discern (1)

Participant Type

  • Children (1)
  • Parents (1)

Special Populations

Educational Environments

  • Home Learning Environment (2)
  • Early Experience (1)

Project Methods

  • Meta-analysis (1)
  • Psychometrics (1)
  • Quantitative (1)
  • Survey (1)

Developmental Designs

  • Cross-Sectional (2)
  • Individual Differences (1)
  • Longitudinal (1)

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  • [x] Dr. Amy R. Napoli (3)
  • [x] Tamika L. McElveen (3)
  • [x] Likai Chen (1)
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Organizations

  • Florida Center for Reading Research (2)
  • Florida State University (2)
  • Purdue University (2)
  • University of Nebraska Department of Child Youth and Family Studies (1)
  • Washington State University Elson S Floyd College of Medicine (1)

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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