Displaying results 1 - 6 of 6 (Go to Advanced Search)
Project
Description: In this study, we wanted to explore the support networks of instructional supervisors of beginning special education teachers and those of rural special education teachers, and how these networks relate to intent-to-stay in the field as a coach or special education teachers. We collected data across two waves.
Project
Description: Telehealth was introduced into early intervention (EI) service delivery models during the COVID-19 pandemic raising questions about changes in service access for children from marginalized groups, service type and intensity, as well as cost-effectiveness.
Dataset
Part of Project: Support networks for instructional supervisors and special education teachers
Description: These data include demographic information on the participating coaches (n = 15) and their coaching context. These data are crosssectional and include specific ego-IDs that can be used to merge with Alter and Tie datasets.
Dataset
Part of Project: Support networks for instructional supervisors and special education teachers
Description: These data contain perceived demographic data on named alters (by Ego) and perceived support provision. These data can be combined with Ego level data to make a nested set using key ID variables.
Dataset
Part of Project: Support networks for instructional supervisors and special education teachers
Description: These data are ties between alters in the network. These data are needed to visualize the complete network using ego and alter data as well.
Person
Description: I am an Assistant Professor in Special Education at Utah State University focusing on preventing reading failure. I am interested in how individual differences in children and teachers influence the effectiveness of reading intervention.
