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Rajagopal, Prabha; Ravana, Sri Devi – Information Research: An International Electronic Journal, 2017
Introduction: The use of averaged topic-level scores can result in the loss of valuable data and can cause misinterpretation of the effectiveness of system performance. This study aims to use the scores of each document to evaluate document retrieval systems in a pairwise system evaluation. Method: The chosen evaluation metrics are document-level…
Descriptors: Information Retrieval, Documentation, Scores, Information Systems
Lin, Xia – Proceedings of the ASIS Annual Meeting, 1995
Describes an experiment that was designed to compare three different map displays used as a visual display for information retrieval by either a self-organizing algorithm or human subjects. Results indicate that the organization and visual appearance of map displays had a significant effect on subjects' searching and browsing on the map displays.…
Descriptors: Algorithms, Analysis of Variance, Comparative Analysis, Hypothesis Testing
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Bonett, Douglas G. – Applied Psychological Measurement, 2006
Comparing variability of test scores across alternate forms, test conditions, or subpopulations is a fundamental problem in psychometrics. A confidence interval for a ratio of standard deviations is proposed that performs as well as the classic method with normal distributions and performs dramatically better with nonnormal distributions. A simple…
Descriptors: Intervals, Mathematical Concepts, Comparative Analysis, Psychometrics
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Diodato, Virgil – Library and Information Science Research, An International Journal, 1984
This study of 4,506 journal articles reveals that 4.4% of psychology article titles and 33.4% of mathematics article titles contained at least one eponym each (expression consisting of individuals's name plus word denoting idea associated with person). Twenty-two references, sample eponyms and citations, statistical tests, and source journals are…
Descriptors: Citations (References), Comparative Analysis, Hypothesis Testing, Information Retrieval
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Meadow, Charles T.; And Others – Journal of the American Society for Information Science, 1995
Reports on a study that compared the behavior of two types of users (search specialists and subject matter specialists with no search experience) with two types of online information retrieval interfaces, including DIALOG. Highlights include data recording via transaction logs, structured interviews, and focus group discussions; and hypothesis…
Descriptors: Comparative Analysis, Computer Attitudes, Focus Groups, Hypothesis Testing
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Large, Andrew; And Others – Journal of the American Society for Information Science, 1994
Describes a study of 120 grade-6 students in Montreal that compared "Compton's Multimedia Encyclopedia" on CD-ROM with its print version to determine students' ability to recall information and to draw inferences from it. Presentation conditions, retrieval conditions, text characteristics, and future research plans are discussed.…
Descriptors: Comparative Analysis, Encyclopedias, Foreign Countries, Grade 6
Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection