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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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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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Gee, Kevin A. – American Journal of Evaluation, 2014
The growth in the availability of longitudinal data--data collected over time on the same individuals--as part of program evaluations has opened up exciting possibilities for evaluators to ask more nuanced questions about how individuals' outcomes change over time. However, in order to leverage longitudinal data to glean these important insights,…
Descriptors: Longitudinal Studies, Data Analysis, Statistical Studies, Program Evaluation
Nandeshwar, Ashutosh R. – ProQuest LLC, 2010
In the modern world, higher education is transitioning from enrollment mode to recruitment mode. This shift paved the way for institutional research and policy making from historical data perspective. More and more universities in the U.S. are implementing and using enterprise resource planning (ERP) systems, which collect vast amounts of data.…
Descriptors: Higher Education, Institutional Research, Graduation Rate, Program Effectiveness
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
Ingels, Steven J.; And Others – 1990
This manual is designed to familiarize data users with the procedures followed for data collection and processing of the base-year school component of the National Education Longitudinal Study of 1988 (NELS:88). A corollary objective is to provide the necessary documentation for use of the data files. The manual provides a wide range of…
Descriptors: Data Analysis, Data Collection, Data Processing, Databases
Ingels, Steven J.; And Others – 1994
Technical aspects of the first followup survey for the National Education Longitudinal Study of 1988 (NELS:88) are documented and summarized. Some information overlaps materials in the users' manuals for this followup, such as the overview and general descriptions of data collection, sampling, weighting, variance estimation, nonresponse patterns,…
Descriptors: Data Analysis, Data Collection, Data Processing, Eligibility
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
Ingels, Steven J.; And Others – 1990
This manual will familiarize data users with the procedures followed for data collection and processing of the base-year teacher component of the National Education Longitudinal Study of 1988. A corollary objective is to provide the necessary documentation for use of the data files. The manual provides a wide range of information on topics related…
Descriptors: Data Analysis, Data Collection, Data Processing, Databases
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
Dunteman, George H.; Bailey, John P. – 1974
The National Longitudinal Study of the High School Class of 1972 was initiated in the spring of 1972. A national probability sample of l8,000 students from 1,070 schools completed a Student Questionnaire dealing with factors related to personal and family background, educational and work experiences, plans, aspirations, attitudes, and opinions.…
Descriptors: Academic Ability, Career Development, Data Analysis, Data Collection