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Project
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Description: Data sharing is increasingly becoming a highly encouraged or required practice for any federally funded research projects. However, the uptake of these practices in the field of education science has been minimal.
Investigators: Jessica Logan, Ally Hanson, Lexi Swanz, A. Busra Ceviren
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Project
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Description: By leveraging technology, new knowledge will be gained on the linkage between teacher stress, teacher talk, teacher-student relationships, and pre-academic and social-emotional outcomes in Black and Latine students, paving the way for more efficacious interventions to reduce teacher stress.
Investigators: Dr. Dwight Irvin, Dr. Ximena Franco-Jenkins, Dr. Brian Boyd, Dr. Nelson Brunsting, Dr. Christopher Redding, Dr. Laura Kuhn, Dr. John Hansen
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Dataset
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Part of Project: Headsprout Data Analytics
Description: Data from the Headsprout data analytics project. This dataset includes student progress monitoring data (DIBELS, TOWRE, CELF), data analytics from their engagement in Headsprout, and information about their home literacy environment (UFLI Home Literacy survey.
Investigators: Willa van Dijk, Valentina Contesse, Rachel Kaplan, Nicollete Grasley-Boy, Danielle L. Pico
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Code
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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 Hanson, Lexi Swanz
Code Type: Analysis
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