Displaying results 1 - 9 of 9 (Go to Advanced Search)
Project
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.
Project
Description: This project is a research study which had a goal of discovering the correlation between internet addiction, introversion, and loneliness. A survey exercise was carried out targeting vocational college students in Chongqing City where questionnaires were randomly administered to 150 students, male and female aged 18 and above.
Project
Description: Mentoring for clinical faculty in academic health centers offers numerous benefits; however, structured virtual mentoring remains understudied in this context.
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.
Dataset
Part of Project: Internet Addiction, Introversion and Loneliness: A Study of Chinese Vocational College Students
Description: This data is vocational college students, male and female, located in Chongqing City, China, and has internet addiction, Introversion and loneliness variables
Dataset
Part of Project: Mentorship Matters
Description: Data gathered from both mentors and mentees prior to program launch
Dataset
Part of Project: Mentorship Matters
Description: Survey data gathered from Mentorship Matters mentors and mentees who were participating at the program's mid-point.
Dataset
Part of Project: Mentorship Matters
Description: Survey data gathered from mentors and mentees after the conclusion of the Mentorship Matters program.
Document
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.
Document Type: Codebook
