Search Results: (1-3 of 3 records)
|NCES 2023013||User’s Manual for the MGLS:2017 Data File, Restricted-Use Version
This manual provides guidance and documentation for users of the Middle Grades Longitudinal Study of 2017–18 (MGLS:2017) restricted-use school and student data files (NCES 2023-131). An overview of MGLS:2017 is followed by chapters on the study data collection instruments and methods; direct and indirect student assessment data; sample design and weights; response rates; data preparation; data file content, including the composite variables; and the structure of the data file. Appendices include a psychometric report, a guide to scales, field test reports, and school and student file variable listings.
|NCES 2023055||Overview of the Middle Grades Longitudinal Study of 2017–18 (MGLS:2017): Technical Report
This technical report provides general information about the study and the data files and technical documentation that are available. Information was collected from students, their parents or guardians, their teachers, and their school administrators. The data collection included direct and indirect assessments of middle grades students’ mathematics, reading, and executive function, as well as indirect assessments of socioemotional development in 2018 and again in 2020. MGLS:2017 field staff provided additional information about the school environment through an observational checklist.
|NFES 2021058||Forum Guide to Attendance, Participation, and Engagement Data in Virtual and Hybrid Learning Models
The Forum Guide to Attendance, Participation, and Engagement Data in Virtual and Hybrid Learning Models was developed as a companion publication to the 2018 Forum Guide to Collecting and Using Attendance Data, drawing upon the information included in that resource and incorporating lessons learned by state and local education agencies (SEAs and LEAs) during the coronavirus disease (COVID-19) pandemic. The information is intended to assist agencies in responding to the current need for these data, as well as future scenarios, such as courses with blended/hybrid learning models or natural disaster situations in which extended virtual education is required.
1 - 3