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Michael O. Martin, Editor; Julian Fraillon, Editor; Heiko Sibberns, Editor; Betina Borisova, Contributor; Ekaterina Buzkich, Contributor; David Ebbs, Contributor; Eugenio Gonzalez, Contributor; Seamus Hegarty, Contributor; Sabine Meinck, Contributor; Sebastian Meyer, Contributor; Irini Moustaki, Contributor; Lauren Musu, Contributor; Keith Rust, Contributor; Ulrich Sievers, Contributor; Matthias von Davier, Contributor; Kentaro Yamamoto, Contributor – International Association for the Evaluation of Educational Achievement, 2025
This publication presents "IEA's Technical Standards for International Large-Scale Assessment." The initial standards, published in 1999, aimed to consolidate the best practices and methodological rigor in IEA's approach to educational assessment, addressing the unique needs of international studies. The standards presented in this…
Descriptors: International Assessment, Standards, Test Construction, Data Collection
Jackson, Michael; Diliberti, Melissa; Kemp, Jana; Hummel, Steven; Cox, Christina; Gbondo-Tugbawa, Komba; Simon, Dillon – National Center for Education Statistics, 2018
The School Survey on Crime and Safety (SSOCS) is managed by the National Center for Education Statistics (NCES) within the Institute of Education Sciences of the U.S. Department of Education. SSOCS collects extensive crime and safety data from principals and administrators of public schools in the United States. Data from this collection can be…
Descriptors: School Surveys, Crime, School Safety, Public Schools
Ghergulescu, Ioana; Muntean, Cristina Hava – International Journal of Artificial Intelligence in Education, 2016
Engagement influences participation, progression and retention in game-based e-learning (GBeL). Therefore, GBeL systems should engage the players in order to support them to maximize their learning outcomes, and provide the players with adequate feedback to maintain their motivation. Innovative engagement monitoring solutions based on players'…
Descriptors: Case Studies, Questionnaires, Electronic Learning, Educational Games
Yukselturk, Erman; Ozekes, Serhat; Turel, Yalin Kilic – European Journal of Open, Distance and E-Learning, 2014
This study examined the prediction of dropouts through data mining approaches in an online program. The subject of the study was selected from a total of 189 students who registered to the online Information Technologies Certificate Program in 2007-2009. The data was collected through online questionnaires (Demographic Survey, Online Technologies…
Descriptors: Online Courses, Distance Education, Dropout Characteristics, Prediction
Strizek, Gregory A.; Tourkin, Steve; Erberber, Ebru – National Center for Education Statistics, 2014
This technical report is designed to provide researchers with an overview of the design and implementation of the Teaching and Learning International Survey (TALIS) 2013. This information is meant to supplement that presented in OECD publications by describing those aspects of TALIS 2013 that are unique to the United States. Chapter 2 provides…
Descriptors: Learning, Instruction, Research Design, Program Implementation
Jolivet, Remi – Linguistique, 1980
Describes the experimental methods used to verify two hypotheses concerning the variability of linguistic behavior at the social and individual levels, within a homogeneous community. Postulates correlations among data from the social/individual "external dimension" and the "internal dimension" which is based on structural properties such as…
Descriptors: Data Analysis, Data Processing, French, Hypothesis Testing
Shale, Douglas G.; Milinusic, Tomislav O. – 1985
This paper describes a computer support system that eliminated many of the problems associated with the usual methods of transcribing and analyzing questionnaire data. The system was created to support the course evaluation system at Athabasca University, a distance education university in Canada. The courses evaluated were all home study courses,…
Descriptors: Computer Oriented Programs, Course Evaluation, Data Analysis, Data Processing
Bower, Cathleen; Meyers, Ed. – 1976
The NCHEMS Information About Students (IAS) project has as one of its primary goals the development of procedures and materials to assist institutions of postsecondary education in conducting attrition studies. It was the intent of the IAS project to develop and pilot test a questionnaire and accompanying procedures that would help institutions…
Descriptors: Data Analysis, Data Processing, Dropout Characteristics, Dropout Research
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
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
National Education Longitudinal Study of 1988. Base Year: Teacher Component Data File User's Manual.
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
Palumbo, Thomas J.; Valdisera, Victor M. – 1978
To evaluate the accuracy of the 1970 census' occupational classification system, a comparison was made between that year's responses to census questions and the replies by the same population group to the 1972 Postcensal Manpower Survey (PMS). Each of these questionnaires relied on a different methodology; in the PMS the respondent classified…
Descriptors: Census Figures, Classification, Comparative Analysis, Data Analysis
PDF pending restorationMcLaughlin, Gerald W.; And Others – 1978
To estimate computer needs at a higher education institution, the major types of users and their future needs should be determined. In a large or complex university, three major groups of users are typically instructional, research, and administrative. After collecting information on the needs of these users, the needs can be translated into…
Descriptors: College Administration, Computer Assisted Instruction, Computer Oriented Programs, Computers
Hramiak, Alison – Journal of Interactive Online Learning, 2005
Much of what can be described as online learning research and analysis advocates the use of software not only to collect the data, for example via an application such as a virtual learning environment, but also to analyze it, using a package such as NUDIST© or NVivo©. The intention of this article is to provide an alternative method of data…
Descriptors: Educational Research, Data Analysis, Evaluation Methods, Computer Software
Smey, Barbara A. – 1981
This manual is designed to train local planning team members and school supervisors/administrators to conduct surveys of local opinions regarding career education. These materials, representing a one-day workshop, consist of eight activities. Topics covered in the activities are an overview of the workshop, an introduction to survey research,…
Descriptors: Behavioral Objectives, Career Education, Data Analysis, Data Collection
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