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Callanan, Gerard A.; Perri, David F.; Tomkowicz, Sandra M. – Journal of Education for Business, 2018
The authors present a pedagogical primer on the highly controversial business strategies of data mining and automated prediction. They provide a summary that allows business professors and students the opportunity to better understand the privacy and ethical issues that arise from high-tech, Internet-based organizations implementing programs to…
Descriptors: Automation, Prediction, Discussion (Teaching Technique), Privacy
James Irvine Foundation, 2015
The Exploring Engagement Fund provides risk capital for arts nonprofits to experiment with innovative ideas about how to engage diverse Californians. In order to understand the variety of Californians engaged in arts experiences, this guide is intended to support current and future Fund grantees in collecting participant information. Exploring…
Descriptors: Art Activities, Private Financial Support, Participant Characteristics, Low Income Groups
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Rodriguez, Sheila M.; Estacion, Angela – Regional Educational Laboratory Northeast & Islands, 2014
As the name indicates, the College Readiness Data Catalog Tool focuses on identifying data that can indicate a student's college readiness. While college readiness indicators may also signal career readiness, many states, districts, and other entities, including the U.S. Virgin Islands (USVI), do not systematically collect career readiness…
Descriptors: College Readiness, Data, Educational Indicators, Data Collection
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Burns, Shelley, Ed.; Wang, Xiaolei, Ed.; Henning, Alexandra, Ed. – National Center for Education Statistics, 2011
Since its inception, the National Center for Education Statistics (NCES) has been committed to the practice of documenting its statistical methods for its customers and of seeking to avoid misinterpretation of its published data. The reason for this policy is to assure customers that proper statistical standards and techniques have been observed,…
Descriptors: National Surveys, Data Processing, Statistical Data, Data Collection
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Nord, 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
Barrera-Gomez, Julianna; Erway, Ricky – OCLC Online Computer Library Center, Inc., 2013
This document is a companion to the report, "You've Got to Walk before You Can Run: First Steps for Managing Born-Digital Content Received on Physical Media." Like the "First Steps" report, the intended audience is those who are just starting to manage born-digital materials, from those wondering where to begin, to those who…
Descriptors: Archives, Electronic Publishing, Documentation, Computer Software
Shettle, Carolyn; Cubell, Michele; Hoover, Katylee; Kastberg, David; Legum, Stan; Lyons, Marsha; Perkins, Robert; Rizzo, Lou; Roey, Stephen; Sickles, Diane – US Department of Education, 2008
This technical report documents the procedures used to collect and summarize data from the 2005 High School Transcript Study (HSTS 2005). The transcript studies serve as a barometer for changes in high school graduates' course-taking patterns; these patterns provide information about the rigor of high school curricula followed across the nation.…
Descriptors: Check Lists, High Schools, School Activities, Course Selection (Students)
Lachat, Mary Ann – 2001
High schools are increasingly expected to use data for improvement and to provide evidence that programs and instructional practices are preparing all students to develop essential knowledge and skills. This publication describes how schools can develop the capacity to analyze and use data as a core component of improving secondary schools using…
Descriptors: Academic Achievement, Data Analysis, Data Collection, Data Interpretation
Jones, Calvin; And Others – 1983
This data file user's manual documents the procedures used to collect and process high school transcripts for a large sample of the younger cohort (1980 sophomores) in the High School and Beyond survey. The manual provides the user with the technical assistance needed to use the computer file and also discusses the following: (1) sample design for…
Descriptors: Academic Records, Data Analysis, Data Collection, Data Processing
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Bernhardt, Victoria L. – Educational Leadership, 2003
A primer for schools attempting to analyze the data they collect. Describes ways schools can get a better picture of how to improve learning by gathering, intersecting, and organizing four categories of data more efficiently: (1) demographic data; (2) student-learning data; (3) perceptions data; and (4) school-processes data. (WFA)
Descriptors: Data Analysis, Data Collection, Data Interpretation, Data Processing
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Fortune, Jim C.; McBee, Janice K. – New Directions for Program Evaluation, 1984
Twenty-nine steps necessary for data file preparation for secondary analysis are discussed. Data base characteristics and planned use vary the complexity of the preparation. Required techniques (file verification, sample verification, file merger, data aggregation, file modification, and variable controls) and seven associated pitfalls are defined…
Descriptors: Computer Storage Devices, Data Analysis, Data Collection, Data Processing
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Mead, James V. – Mid-Western Educational Researcher, 1994
Discusses important factors to consider before deciding on hardware or software to use in building qualitative databases. Examines using the computer to store and retrieve text, store and retrieve graphics, analyze text, analyze graphic materials, distribute data stored on one machine to others, allow researchers access to data from remote sites,…
Descriptors: Computer Software, Computer System Design, Data Analysis, Data Collection
Wise, Lauress L.; McLaughlin, Donald H. – 1980
This guidebook is designed for data analysts who are working with computer data files that contain records with incomplete data. It indicates choices the analyst must make and the criteria for making those choices in regard to the following questions: (1) What resources are available for performing the imputation? (2) How big is the data file? (3)…
Descriptors: Algorithms, Computer Software, Data Analysis, Data Collection
Jones, Calvin; And Others – 1983
The structure and documentation of High School and Beyond First Follow-Up data files represent a departure from Base Year practices. The Base Year student file contains data from both the senior and sophomore cohorts. Due to the more complex design of the First Follow-Up and resulting increase in the volume of available data, separate First…
Descriptors: Data Analysis, Data Collection, Data Processing, Databases
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
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