Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 4 |
Since 2006 (last 20 years) | 9 |
Descriptor
Surveys | 19 |
Data Processing | 18 |
Higher Education | 10 |
Comparative Analysis | 6 |
Questionnaires | 6 |
Foreign Countries | 5 |
Computers | 4 |
Data Collection | 4 |
Research Methodology | 4 |
College Administration | 3 |
Data | 3 |
More ▼ |
Source
Author
Andrew Kerr | 1 |
Athanassiades, Elias | 1 |
Beth Chance | 1 |
Breazeale, Don | 1 |
Buchanan, Taylor L. | 1 |
Cheema, Jehanzeb R. | 1 |
Chizari, Mohammad | 1 |
Delen, Dursun | 1 |
Emurian, Henry H. | 1 |
Francis, J. Bruce | 1 |
Hashimoto, Kiyota | 1 |
More ▼ |
Publication Type
Journal Articles | 19 |
Reports - Research | 13 |
Reports - Evaluative | 3 |
Guides - Non-Classroom | 2 |
Information Analyses | 2 |
Reports - Descriptive | 2 |
Guides - General | 1 |
Reports - General | 1 |
Tests/Questionnaires | 1 |
Education Level
Higher Education | 5 |
Postsecondary Education | 2 |
Audience
Practitioners | 3 |
Administrators | 2 |
Researchers | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Beth Chance; Andrew Kerr; Jett Palmer – Journal of Statistics and Data Science Education, 2024
While many instructors are aware of the "Literary Digest" 1936 poll as an example of biased sampling methods, this article details potential further explorations for the "Digest's" 1924-1936 quadrennial U.S. presidential election polls. Potential activities range from lessons in data acquisition, cleaning, and validation, to…
Descriptors: Publications, Public Opinion, Surveys, Bias
Johri, Aditya; Yang, Seungwon; Vorvoreanu, Mihaela; Madhavan, Krishna – Advances in Engineering Education, 2016
As part of our NSF funded collaborative project on Data Sharing within Engineering Education Community, we conducted an empirical study to better understand the current climate of data sharing and participants' future expectations of the field. We present findings of this mixed method study and discuss implications. Overall, we found strong…
Descriptors: Engineering Education, Data, Knowledge Management, Educational Practices
Cheema, Jehanzeb R. – Review of Educational Research, 2014
Missing data are a common occurrence in survey-based research studies in education, and the way missing values are handled can significantly affect the results of analyses based on such data. Despite known problems with performance of some missing data handling methods, such as mean imputation, many researchers in education continue to use those…
Descriptors: Educational Research, Data, Data Collection, Data Processing
Buchanan, Taylor L.; Lohse, Keith R. – Measurement in Physical Education and Exercise Science, 2016
We surveyed researchers in the health and exercise sciences to explore different areas and magnitudes of bias in researchers' decision making. Participants were presented with scenarios (testing a central hypothesis with p = 0.06 or p = 0.04) in a random order and surveyed about what they would do in each scenario. Participants showed significant…
Descriptors: Researchers, Attitudes, Statistical Significance, Bias
Yin, Chengjiu; Hirokawa, Sachio; Yau, Jane Yin-Kim; Hashimoto, Kiyota; Tabata, Yoshiyuki; Nakatoh, Tetsuya – International Journal of Distance Education Technologies, 2013
To help researchers in building a knowledge foundation of their research fields which could be a time-consuming process, the authors have developed a Cross Tabulation Search Engine (CTSE). Its purpose is to assist researchers in 1) conducting research surveys, 2) efficiently and effectively retrieving information (such as important researchers,…
Descriptors: Search Engines, Online Searching, Surveys, Research
Valdés Aguirre, Benjamín; Ramírez Uresti, Jorge A.; du Boulay, Benedict – International Journal of Artificial Intelligence in Education, 2016
Sharing user information between systems is an area of interest for every field involving personalization. Recommender Systems are more advanced in this aspect than Intelligent Tutoring Systems (ITSs) and Intelligent Learning Environments (ILEs). A reason for this is that the user models of Intelligent Tutoring Systems and Intelligent Learning…
Descriptors: Intelligent Tutoring Systems, Models, Open Source Technology, Computers
Karamouzis, Polikarpos; Athanassiades, Elias – Religious Education, 2011
The correlation of student teachers' religiosity with their views on the religious education course that they are called on to teach in Greek public schools is the subject treated in the present survey. The five main features of religiosity, that is, (1) religious faith, (2) religious knowledge, (3) religious experience, (4) participation in a…
Descriptors: Student Teachers, Education Courses, Multivariate Analysis, Data Processing
Delen, Dursun – Journal of College Student Retention: Research, Theory & Practice, 2012
Affecting university rankings, school reputation, and financial well-being, student retention has become one of the most important measures of success for higher education institutions. From the institutional perspective, improving student retention starts with a thorough understanding of the causes behind the attrition. Such an understanding is…
Descriptors: Higher Education, Student Attrition, School Holding Power, Prediction
Movahedi, Reza; Chizari, Mohammad; Breazeale, Don – Journal of Agricultural Education and Extension, 2007
In order to improve the agricultural extension system of a country it is essential to link research units and extension activities. In this regard, one of the approaches, which are currently being carried out in Iran, is a joint research-extension plan (JREP). These plans were originally initiated in 1998 with the following objectives: 1) to…
Descriptors: Rural Extension, Extension Agents, Foreign Countries, Comparative Analysis

Levin, Martin L. – Computers and the Social Sciences, 1986
Briefly reviews history of social science data processing and argues that most social science computing has involved adapting technologies developed in other disciplines. Shows how changing computer technology shapes social science data collection and analysis techniques. Concludes that the nature of the microcomputer may again encourage…
Descriptors: Computers, Data Processing, Higher Education, Microcomputers
Steiner, Thomas A. – School Press Review, 1979
Offers tips to high school publication staff members on planning a survey, preparing the survey form, conducting the survey, tabulating the results, and preparing the survey as a readable, interesting feature. (GT)
Descriptors: Data Processing, High Schools, News Reporting, Research Methodology
Nestman, Chadwick H.; And Others – CAUSE/EFFECT, 1980
A study dealing with administrative computer centers in four-year institutions of higher education in the United States is described. Organizational impact on management of computers, descriptive findings about the institutions used in the study, factor analysis of dependent variables, and multiple regression analysis are reviewed. (MLW)
Descriptors: College Administration, Colleges, Computers, Data Processing
Francis, J. Bruce – New Directions for Institutional Advancement, 1979
The survey holds an increasingly important place in institutional advancement. As college and university decision makers turn more and more to their constituencies for support and assistance, a competent information-gathering and processing network becomes crucial. Heuristic v algorithmic designs, Attitude Information System, and the microcomputer…
Descriptors: Computer Science, Data Analysis, Data Collection, Data Processing
Plourde, Paul J. – CAUSE/EFFECT, 1981
The findings of a CAUSE survey of institutions of higher education that are either currently using or have used a database management system are presented. In addition to demographic information, other issues addressed are: management implications, systems concepts, systems development, personnel, operational considerations and prospects for the…
Descriptors: Computers, Data Processing, Databases, Higher Education
Thomas, Charles R. – CAUSE/EFFECT, 1997
Colleges and universities are initiating data warehouse projects to provide integrated information for planning and reporting purposes. A survey of 40 institutions with active data warehouse projects reveals the kinds of tools, contents, data cycles, and access currently used. Essential elements of an integrated information architecture are…
Descriptors: College Administration, Computer Uses in Education, Data Processing, Higher Education
Previous Page | Next Page »
Pages: 1 | 2