Displaying results 1 - 5 of 5 (Go to Advanced Search)
Project
Description: This five-year (2018-2023), research-to-practice partnership between Yale University and local community stakeholders funded by the Tauck Family Foundation (https://tauckfamilyfoundation.org) was tasked with creating a community of practice by infusing SEL into the culture and infrastructure of the community and ensuring coordinated, equitable a
Dataset
Part of Project: Efficacy of the Core Knowledge Language Arts Read-Aloud Program in Kindergarten through First Grade Classrooms
Description: This data set is a wide file that merges all item level student data for both studies and all timepoints.
Dataset
Part of Project: Efficacy of the Core Knowledge Language Arts Read-Aloud Program in Kindergarten through First Grade Classrooms
Description: This data set is a wide file that merges all of the CKLA data sets at the kindergarten student level. It focuses on the variables most likely to be analyzed. Although this is a student-level file, we include student aggregates of teacher measures in this data set. This file includes one case for each student.
Dataset
Part of Project: Efficacy of the Core Knowledge Language Arts Read-Aloud Program in Kindergarten through First Grade Classrooms
Description: This data set is a wide file that merges all of the CKLA data sets at the G1 student level. It focuses on the variables most likely to be analyzed. Although this is a student-level file, we only include student aggregates of teacher measures in this data set due to COVID-19 preventing data collection on G1 students .
Dataset
Part of Project: Efficacy of the Core Knowledge Language Arts Read-Aloud Program in Kindergarten through First Grade Classrooms
Description: This data set is a wide file that merges all of the CKLA data sets at the teacher level. It focuses on the variables most likely to be analyzed. Although this is a teacher-level file, we include teacher aggregates of student measures in this data set. This file includes one case for each teacher.
