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Meholick, Sarah; Honey, Rose; LaTurner, Jason – National Center for Education Statistics, 2023
Statewide longitudinal data systems (SLDSs) can enable researchers, policymakers, and practitioners to identify and understand important relationships and trends across the education-to-workforce continuum. A well-developed SLDS can increase state and territory governments' ability to establish more informed and equitable policies, enable agency…
Descriptors: Longitudinal Studies, State Programs, State Policy, Data Collection
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Cominole, Melissa; Ritchie, Nichole Smith; Cooney, Jennifer – National Center for Education Statistics, 2021
This publication describes the methods and procedures used for the 2008/18 Baccalaureate and Beyond Longitudinal Study (B&B:08/18). The B&B graduates, who completed the requirements for a bachelor's degree during the 2007-08 academic year, were first surveyed as part of the 2008 National Postsecondary Student Aid Study (NPSAS:08), and then…
Descriptors: Bachelors Degrees, College Graduates, Longitudinal Studies, Data Collection
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Duprey, Michael A.; Pratt, Daniel J.; Wilson, David H.; Jewell, Donna M.; Brown, Derick S.; Caves, Lesa R.; Kinney, Satkartar K.; Mattox, Tiffany L.; Ritchie, Nichole Smith; Rogers, James E.; Spagnardi, Colleen M.; Wescott, Jamie D. – National Center for Education Statistics, 2020
This data file documentation accompanies new data files for the High School Longitudinal Study of 2009 (HSLS:09) Postsecondary Education Transcript Study and Student Financial Aid Records Collection (PETS-SR). HSLS:09 follows a nationally representative sample of students who were ninth-graders in fall 2009 from high school into postsecondary…
Descriptors: Longitudinal Studies, High School Students, Sampling, Data Collection
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Liu, Ran; Stamper, John; Davenport, Jodi – Journal of Learning Analytics, 2018
Temporal analyses are critical to understanding learning processes, yet understudied in education research. Data from different sources are often collected at different grain sizes, which are difficult to integrate. Making sense of data at many levels of analysis, including the most detailed levels, is highly time-consuming. In this paper, we…
Descriptors: Intelligent Tutoring Systems, Learning, Data Analysis, Student Development
Liu, Ran; Stamper, John; Davenport, Jodi – Grantee Submission, 2018
Temporal analyses are critical to understanding learning processes, yet understudied in education research. Data from different sources are often collected at different grain sizes, which are difficult to integrate. Making sense of data at many levels of analysis, including the most detailed levels, is highly time-consuming. In this paper, we…
Descriptors: Intelligent Tutoring Systems, Learning, Data Analysis, Student Development
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Ingels, Steven J.; Pratt, Daniel J.; Jewell, Donna M.; Mattox, Tiffany; Dalton, Ben; Rosen, Jeffrey; Lauff, Erich; Hill, Jason – National Center for Education Statistics, 2012
This report describes the methodologies and results of the third follow-up Education Longitudinal Study of 2002 (ELS:2002/12) field test which was conducted in the summer of 2011. The field test report is divided into six chapters: (1) Introduction; (2) Field Test Survey Design and Preparation; (3) Data Collection Procedures and Results; (4) Field…
Descriptors: Longitudinal Studies, Field Tests, Followup Studies, Surveys
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Ingels, Steven J.; Pratt, Daniel J.; Wilson, David; Burns, Laura J.; Currivan, Douglas; Rogers, James E.; Hubbard-Bednasz, Sherry – National Center for Education Statistics, 2007
This manual has been produced to familiarize data users with the procedures followed for data collection and processing for the base year through second follow-up of the Education Longitudinal Study of 2002 (ELS:2002). It also provides the necessary documentation for use of the data files, as they appear on the ELS:2002 base-year to second…
Descriptors: Longitudinal Studies, High School Students, Research Design, Data Collection
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Ingels, Steven J.; Pratt, Daniel J.; Rogers, James E.; Siegel, Peter H.; Stutts, Ellen S. – National Center for Education Statistics, 2005
This report provides guidance and documentation for users of the public release for the combined base-year and first follow-up data of the Education Longitudinal Study of 2002 (ELS:2002). It provides extensive documentation of the content of the data files and how to access and manipulate them. Chapter 1 serves as an introduction to ELS:2002. It…
Descriptors: Guides, Data Processing, Data Collection, Longitudinal Studies
Everett, Bruce E. – 1975
This paper summarizes the data management techniques used in a large-scale longitudinal study of intensive, innovative programs. Emphasis is placed on the scope of data collection, the methods used in the study to keep track of students over several years, the techniques used to collect data about students in public schools, the quality control on…
Descriptors: Computer Programs, Data Collection, Data Processing, Educational Innovation
Mandeville, Garrett K. – 1988
This paper describes and evaluates a computerized system, MATCH, which is being used in South Carolina to match or link student records from year to year. The functioning of MATCH and its specific features are described, and its use in matching student test scores is detailed. The problem of mismatched records and the use of visual editing to…
Descriptors: Algorithms, Computer Oriented Programs, Computer Software, Data Analysis
Henderson, Louise B.; Allen, Danny R. – 1981
The data entry quality control procedures in discrete data entry tasks in the National Longitudinal Study (NLS) Fourth Follow-Up Survey are examined. Direct data entry terminals were used to key survey questionnaire item responses, telephone interview corrections, respondent background information and supplemental questionnaire responses into…
Descriptors: Data Analysis, Data Processing, High School Graduates, Information Storage
Research Triangle Inst., Durham, NC. Center for Educational Research and Evaluation. – 1974
This document supports the survey questionnaire to be administered to a sample of over 22,000 young adults in the second follow-up of the National Longitudinal Study of the High School Class of 1972. Data collection activities were scheduled to start in October 1974 and be completed by March 1975. The field test of the survey questionnaire,…
Descriptors: Biographical Inventories, Data Analysis, Data Collection, Data Processing
Levinsohn, Jay; And Others – 1978
This Users Manual is the supporting documentation for the Public Use Data File from the National Longitudinal Study of the High School Class of 1972 (NLS). The data file contains certain merged data from the base year (1972), and first, second, and third follow-up NLS surveys for 22,652 cases. This volume contains only appendices K through Q, as…
Descriptors: Data Analysis, Data Processing, Databases, Followup Studies
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Riccobono, John; Henderson, Louise B.; Burkheimer, Graham J.; Place, Carol; Levinsohn, Jay R. – National Center for Education Statistics, 1981
The National Longitudinal Study (NLS) of the High School Class of 1972 is a large-scale long-term survey effort supported by the National Center for Education Statistics (NCES), Office of the Assistant Secretary for Educational Research and Improvement in the U.S. Department of Education. NLS is designed to provide statistics on a national sample…
Descriptors: Longitudinal Studies, National Surveys, Followup Studies, High School Graduates
Smith, James E.; And Others – 1988
In the spring of 1980, the High School and Beyond (HSB) base year survey collected data from about 28,000 seniors and about 30,000 sophomores in more than 1,000 secondary schools. This supplement was designed to collect data concerning the methodology associated with the receipt of postsecondary financial aid within the first 4 years after high…
Descriptors: Cohort Analysis, College Students, Confidential Records, Data Collection
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