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Peer reviewedKlopfer, Leopold E. – Science Education, 1976
Employing the same strategy that served to encompass the cognitive domain within two dimensions, this paper presents a synoptic structure for the affective domain in relation to science education. Student affective behaviors and the phenomena that constitute the focus of these affective behaviors in science education are detailed. (BT)
Descriptors: Affective Behavior, Affective Objectives, Attitudes, Behavior
Peer reviewedBrown, Lester E.; Goodall, Robert C. – Illinois School Research and Development, 1976
Investigates the discrepancies between theory and practice in several aspects of education. Conclusions imply less than optimal application of theory to practice in Central Illinois classrooms. (Editor/RK)
Descriptors: Classification, Data Collection, Educational Practices, Educational Research
Peer reviewedCampbell, Robin; And Others – British Journal of Psychology, 1976
On three occasions over a one-year period 23 children aged 3-4 were asked to match target objects with other objects which were similar to the target in shape or in color but not in both. A sequence of matches to each target was asked for. The structure of these sequences is examined for evidence of classificatory abilities. (Editor)
Descriptors: Charts, Classification, Evaluation Criteria, Psychological Studies
Peer reviewedMiller, Gerald; And Others – Communication Monographs, 1977
Investigates the potential control strategies a persuader may use and the impact of situational differences on a persuader's strategic choice. (MH)
Descriptors: Behavioral Science Research, Classification, Interaction Process Analysis, Persuasive Discourse
Peer reviewedCochran, L. R. – Social Behavior and Personality, 1976
Adult subjects (N=10) were studied to determine whether inconsistent information about others produces more discrimination of people or leads to alternative ways of categorizing. Pretest-posttest indications indicated inconsistency produced more discrimination of others and alternative ways of categorizing others. (SBP)
Descriptors: Behavior Patterns, Classification, Cluster Analysis, Discriminant Analysis
Shoemer, James R.; Snapp, Michael K. – NASPA, 1977
The development of program classification structures is believed to have mortally wounded student personnel's effort to be recognized as a direct educational function. (Author)
Descriptors: Classification, Higher Education, Program Design, State of the Art Reviews
Peer reviewedKim, Yongbeom – Information Processing & Management, 1997
Discussion of software reusability focuses on classification and retrieval problems and proposes a method based on encoding semantic information to help solve those problems. Highlights include representation of semantic information; quiddity; the SRM (software resource model) and SRD (software resource diagram); and results of experiments with…
Descriptors: Classification, Computer Software, Diagrams, Higher Education
Peer reviewedLennertz, Lora L.; Conway, Cheryl L. – Information Technology and Libraries, 1997
Discusses the process of planning and implementing a barcode project for library serials based on experiences at the University of Arkansas Fayetteville library. Topics include dumb versus smart barcodes, cataloging, classification, application rate of barcode labels, and library staff participation. (Author/LRW)
Descriptors: Academic Libraries, Cataloging, Classification, Higher Education
Peer reviewedGreen, Rebecca – Information Technology and Libraries, 1996
Presents the conceptual design of a full-scale bibliographic database that includes bibliographic, authority, holdings, and classification data and is based on entity-relationship modeling. MARC format, AACR2 (Anglo-American Cataloging Rules) compatibility, and normalization and efficiency are discussed. (Author/LRW)
Descriptors: Authority Control (Information), Bibliographic Databases, Bibliographic Records, Classification
Peer reviewedScriven, Michael – Evaluation Practice, 1996
The formative-summative distinction in evaluation is defended as a reasonable way to classify evaluation activities. Context ultimately defines the formative or summative functions of evaluation. The characteristics of an evaluator are defined, and points of agreement with the other contributors to the forum are noted. (SLD)
Descriptors: Classification, Context Effect, Definitions, Evaluation Methods
Peer reviewedCollins, Judith M.; Schmidt, Frank L. – Educational and Psychological Measurement, 1997
The potential importance of suppressor variables in the personality domain was studied in classifying white-collar criminals with a validation sample of 435 prisoners and a cross-validation sample of 214. Results suggest that suppressor variables can increase prediction and may contribute to knowledge and theory development. (SLD)
Descriptors: Classification, Measurement Techniques, Personality Assessment, Personality Traits
Peer reviewedGoldsmith, Daena J.; Baxter, Leslie A. – Human Communication Research, 1996
Provides a taxonomy of dyadic speech events in everyday relating through a series of four studies. Identifies 29 speech events through a variety of multimethod procedures, including unstructured and structured diary records, judgment sorting tasks, and semantic-differential rating scales. Suggests that everyday relating is dominated by six kinds…
Descriptors: Classification, Communication Research, Discourse Analysis, Higher Education
Peer reviewedWiese, Richard – Journal of Linguistics, 1996
Addresses the relationship between phonology and morphology, using the vowel alternations of Standard German Umlaut and Ablaut as relevant examples. The article analyzes Umlaut as a completely unified process of vowel fronting, whereas it argues that Ablaut is synchronically a totally unpredictable vowel change found in the paradigms of strong…
Descriptors: Classification, Context Clues, Contrastive Linguistics, German
Peer reviewedMisiti, Frank L., Jr. – Science Scope, 1996
Presents a lesson that uses the learning cycle to introduce the concept of classification and the use of dichotomous keys to identify plants and animals. Encourages students to become better observers and helps them gain confidence and experience in using simple classification keys. (JRH)
Descriptors: Animals, Biology, Classification, Junior High Schools
Peer reviewedPanyr, Jiri – Review of Information Science, 1996
Discusses object-centered knowledge representation and information retrieval. Highlights include semantic networks; frames; predicative (declarative) and associative knowledge; cluster analysis; creation of subconcepts and superconcepts; automatic classification; hierarchies and pseudohierarchies; graph theory; term classification; clustering of…
Descriptors: Automation, Classification, Cluster Analysis, Concept Formation


