Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 0 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Coding | 2 |
| Data Collection | 2 |
| Data Processing | 2 |
| Sampling | 2 |
| Academic Records | 1 |
| Computation | 1 |
| Data Analysis | 1 |
| Followup Studies | 1 |
| Grade 12 | 1 |
| High School Graduates | 1 |
| High Schools | 1 |
| More ▼ | |
Author
| Hicks, L. | 1 |
| Hoover, K. | 1 |
| Ingels, Steven J. | 1 |
| Jones, M. | 1 |
| Lin, A. | 1 |
| Lyons, M. | 1 |
| Nord, C. | 1 |
| Perkins, R. | 1 |
| Roey, S. | 1 |
| Rust, K. | 1 |
| Sickles, D. | 1 |
| More ▼ | |
Publication Type
| Guides - Non-Classroom | 2 |
| Numerical/Quantitative Data | 2 |
| Tests/Questionnaires | 1 |
Education Level
| Elementary Secondary Education | 1 |
| Grade 12 | 1 |
| High Schools | 1 |
| Secondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
| National Assessment of… | 1 |
What Works Clearinghouse Rating
Peer reviewed
Download full textNord, C.; Hicks, L.; Hoover, K.; Jones, M.; Lin, A.; Lyons, M.; Perkins, R.; Roey, S.; Rust, K.; Sickles, D. – National Center for Education Statistics, 2011
This user's guide documents the procedures used to collect, process, and summarize data from the 2009 High School Transcript Study (HSTS 2009). Chapters detail the sampling of schools and graduates (chapters 2 and 3), data collection procedures (chapter 4), data processing procedures (chapter 5), and weighting procedures (chapter 6). Chapter 7…
Descriptors: High School Graduates, Academic Records, National Competency Tests, Questionnaires
PDF pending restorationIngels, Steven J.; And Others – 1995
This manual familiarizes data users with the procedures followed for data collection and processing of the high school transcript component of the National Education Longitudinal Study of 1988 (NELS:88). A second objective is to provide the necessary documentation for using the data files. Chapter 6 and appendix F, in particular, contain…
Descriptors: Coding, Data Analysis, Data Collection, Data Processing
