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Nokelainen, Petri; Silander, Tomi – Frontline Learning Research, 2014
This commentary to the recent article by Musso et al. (2013) discusses issues related to model fitting, comparison of classification accuracy of generative and discriminative models, and two (or more) cultures of data modeling. We start by questioning the extremely high classification accuracy with an empirical data from a complex domain. There is…
Descriptors: Models, Classification, Accuracy, Regression (Statistics)
Leighton, Jacqueline P. – Measurement: Interdisciplinary Research and Perspectives, 2008
In this commentary, the author asks the analogous question, "where's the psychology?" Not because the authors of the focus article "Unique Characteristics of Diagnostic Classification Models: A Comprehensive Review of the Current State-of-the-Art" have not provided a solid review of the technical aspects of Diagnostic…
Descriptors: Theory Practice Relationship, Classification, Psychology, Children

Schneider, Mary L.; And Others – Occupational Therapy in Health Care, 1987
Computer-assisted direct behavioral observation is proposed to aid sensory integration therapy. This allows the occupational therapist to quantify data, devise and answer research questions, and assess progress. Advice is given on establishing a behavior taxonomy. Computer-assisted direct behavioral observation is examined and found valuable for…
Descriptors: Behavior Change, Behavior Patterns, Classification, Computer Software

Bienenstock, Michael A.; Vernon, McCay – American Annals of the Deaf, 1994
This article documents the wide variation in terminology used by the U.S. Department of Education and the 50 states in gathering data on deaf and hard-of-hearing children and in determining eligibility for services. Recommendations for achieving uniformity in defining and applying the terms "deaf" and "hard of hearing" are…
Descriptors: Classification, Data Collection, Deafness, Definitions

Peters, H. P. F.; And Others – Journal of the American Society for Information Science, 1995
Describes an empirical study that measured word-profile similarities between citing and cited publications in the chemical engineering field. Highlights include cognitive resemblance and bibliographic coupling; data collection techniques; analysis of word-profile similarity; bibliographic coupled publications; mapping of cognitive resemblance; and…
Descriptors: Chemical Engineering, Citation Analysis, Classification, Cognitive Measurement

Orlans, Harold – Society, 1989
Discusses problems of classifying racial and ethnic groups when collecting statistical data. Argues that surveys must acknowledge the great diversity of the American population and give respondents the freedom to choose the group or groups to which they belong. (FMW)
Descriptors: Classification, Data Collection, Ethnic Groups, Identification
Creasey, J. C.; Wesley, C. – 1987
This report of a United Nations Educational, Scientific, and Cultural Organization (UNESCO) pilot project, which was carried out during 1982-84 in Khartoum (Sudan) to develop a vehicle for providing access to information on research in progress, describes: (1) the study that led to the conclusion that a national register of research projects was…
Descriptors: Classification, Data Collection, Developing Nations, Foreign Countries

Ortopan, LeRoy D.; And Others – Library Resources and Technical Services, 1985
Two articles describe National Shelflist Count project organized 13 years ago under auspices of American Library Association's Resources and Technical Services Division to collect and publish comparative data about strengths and growth of major North American research collections. History, limitations, usefulness, and recommendations of 1983 task…
Descriptors: Academic Libraries, Classification, Data Collection, Higher Education
Barker, Bruce – 1985
Information available on rural education remains startlingly inadequate--partly because of the great diversity of rural areas, because agencies responsible for data collection disagree on the definition of small/rural schools, and because large metropolitan schools have received far more than their share of attention, research, and financial…
Descriptors: Classification, Data Analysis, Data Collection, Databases