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Peer reviewedFernelius, W. C.; And Others – Journal of Chemical Education, 1976
Discusses the problems of devising chemical names that permit the construction of a structural representation from a substance name. (MLH)
Descriptors: Chemical Nomenclature, Chemistry, Classification, Instructional Materials
Peer reviewedYu, C. T. – Journal of the American Society for Information Science, 1976
A measure for the quantification of the changes in classification under small changes in data is proposed. (Author)
Descriptors: Classification, Cluster Analysis, Cluster Grouping, Information Retrieval
Rudner, Lawrence M. – 2001
This paper describes and evaluates the use of decision theory as a tool for classifying examinees based on their item response patterns. Decision theory, developed by A. Wald (1947) and now widely used in engineering, agriculture, and computing, provides a simple model for the analysis of categorical data. Measurement decision theory requires only…
Descriptors: Classification, Mathematical Models, Measurement Techniques, Responses
Fardanesh, Hashem – Online Submission, 2006
In a conceptual-analytical study using a deductive classificatory content analysis method ten constructivist instructional design models were selected, and learning/teaching approaches within each model were appraised. Using the original writings of the originators of each design model, the learning and teaching approaches employed or permitted to…
Descriptors: Teaching Methods, Content Analysis, Constructivism (Learning), Classification
Daniel, Larry G.; Onwuegbuzie, Anthony J. – 2000
This paper proposes a new typology for understanding common research errors that expands on the four types of error commonly discussed in the research literature. Examples are presented to illustrate Type I and Type II errors, errors related to the interpretation of statistically significant and nonsignificant results respectively, with attention…
Descriptors: Classification, Error Patterns, Research Methodology, Research Problems
Johnson, William L.; Johnson, Annabel M. – 2000
The article's thesis is that evolution's intellectual foundations have been steadily eroding, and that few new findings in embryology, taxonomy, fossil remains, and molecular biology are bringing us very near to a formal, logical disproof of Darwinian claims. The paper begins by discussing the evidence of a prehistoric world, then they discuss…
Descriptors: Biology, Classification, Embryology, Evolution
Marzano, Robert J. – 2001
This volume is an attempt to articulate a taxonomy of educational objectives that uses the best available research and theory accumulated since the publication of the taxonomy of educational objectives of B. Bloom and others in 1956. Like Bloom's taxonomy, this taxonomy defines six levels of mental processing: self-system thinking (Level 6);…
Descriptors: Classification, Cognitive Processes, Educational Objectives, Educational Research
Minnameier, Gerhard – 2001
This paper discusses a well-known problem of stage categorization within Kohlberg's theory of moral stages (L. Kohlberg, 1973), that of "Stage 4 1/2." Some subjects previously scored at stage 4 in Kohlberg's framework took on some characteristics of stage 2 reasoning, which suggested the possibility of regression. To reconcile this…
Descriptors: Adolescents, Classification, Individual Development, Models
McClafferty, Karen Ann – 2000
A study was conducted to explore the factors that have impact on the individual freedom and autonomy of academics in the changing university climate. Through the development of an ideal typology of educational researchers, based on the work of Max Weber, the study reveals the ways in which individuals within these changing institutions make…
Descriptors: Classification, College Faculty, Educational Research, Higher Education
Wolfe, Edward W.; Moulder, Bradley C.; Myford, Carol M. – 1999
This paper describes a class of rater effects that depict rater-by-time interactions. This class of rater effects is referred to as differential rater functioning over time (DRIFT). This article describes several types of DRIFT (primacy/recency, differential centrality/extremism, and practice/fatigue) and Rasch measurement procedures designed to…
Descriptors: Classification, Effect Size, Evaluators, Item Response Theory
Salmi, Jamil – 2000
How can the triumph of Western liberalism be reconciled with the pictures of chaos, war, crime, terror, and poverty which continue to appear in the daily news? Does violence coexist, in a significant fashion, with capitalism and democracy? What role does education play in this context? In addressing these questions, this paper presents a framework…
Descriptors: Civil Liberties, Classification, Comparative Analysis, Democracy
Sigmon, Robert L. – 1997
This paper explores the ways liberal arts colleges and universities can conceptualize and design next generation service and learning programs that give more considered attention to the service dimension. A Service and Learning typology suggests four variations found on many campuses in which service and learning have some relationship: (1)…
Descriptors: Classification, Higher Education, Liberal Arts, Program Development
Ferrer, Alvaro J. Arce; Wang, Lin – 1999
This study compared the classification performance among parametric discriminant analysis, nonparametric discriminant analysis, and logistic regression in a two-group classification application. Field data from an organizational survey were analyzed and bootstrapped for additional exploration. The data were observed to depart from multivariate…
Descriptors: Classification, Comparative Analysis, Discriminant Analysis, Nonparametric Statistics
Williamson, David M.; Bejar, Isaac I. – 2000
As the automated scoring of constructed responses reaches operational status, monitoring the scoring process becomes a primary concern, particularly if automated scoring is intended to operate completely unassisted by humans. Using actual candidate selections from the Architectural Registration Examination (n=326), this study uses Kohonen…
Descriptors: Classification, Constructed Response, Grading, Scoring
Peer reviewedMadaus, George F.; And Others – American Educational Research Journal, 1973
The causal model approach used in this study tested the cumulative hierarchical structure of the six major taxonomic levels of Bloom's Taxonomy by measuring the strengths of the linear relationships ( links'') between levels. (Editor)
Descriptors: Classification, Elementary School Students, Intelligence, Models


