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| Format: | Recurso educativo Open Access |
| Language: | en |
| Published: |
1981
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| Online Access: | https://eric.ed.gov/?id=ED220092 |
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| _version_ | 1867181332092682240 |
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| author | Khosh-khui, Abolghasem |
| author_facet | Khosh-khui, Abolghasem Khosh-khui, Abolghasem |
| collection | Education Resources Information Center |
| contents | Statistical Analysis of the Association Between Subject Headings and Their Corresponding Class Notations in Science and Technology Monographs. Khosh-khui, Abolghasem Classification Correlation Dewey Decimal Classification Indexing Library of Congress Classification Library Research Regression (Statistics) Subject Index Terms Tables (Data) This study investigates the degree of relationship between scientific and technical subject headings and their corresponding class notations in the Dewey Decimal (DDC) and Library of Congress Classification (LCC) systems. The degree of association between a subject heading and its corresponding class of notation or notations is measured by counting the frequency of occurrence of that subject heading and comparing this score with the most frequent identical class notation for the same subject heading. The correlation between these scores, i.e., the probability of co-occurrence of a subject heading and a class notation, and the number of subject headings are the two measures of association used in the study. The study considered 3,280 subject headings and class notations in 1,893 bibliographic records. The results show that as the number of subject headings per bibliographic record increases, the degree of association between subject headings and their corresponding class notation decreases. Except for subject headings with the order of one, LC and DDC were not significantly different. There are 20 references. (Author/RAA) |
| format | Recurso educativo Open Access |
| id | eric_ED220092 |
| institution | ERIC Institute of Education Sciences |
| language | en |
| publishDate | 1981 |
| record_format | eric |
| spellingShingle | Statistical Analysis of the Association Between Subject Headings and Their Corresponding Class Notations in Science and Technology Monographs. Khosh-khui, Abolghasem Classification Correlation Dewey Decimal Classification Indexing Library of Congress Classification Library Research Regression (Statistics) Subject Index Terms Tables (Data) Statistical Analysis of the Association Between Subject Headings and Their Corresponding Class Notations in Science and Technology Monographs. Khosh-khui, Abolghasem Classification Correlation Dewey Decimal Classification Indexing Library of Congress Classification Library Research Regression (Statistics) Subject Index Terms Tables (Data) This study investigates the degree of relationship between scientific and technical subject headings and their corresponding class notations in the Dewey Decimal (DDC) and Library of Congress Classification (LCC) systems. The degree of association between a subject heading and its corresponding class of notation or notations is measured by counting the frequency of occurrence of that subject heading and comparing this score with the most frequent identical class notation for the same subject heading. The correlation between these scores, i.e., the probability of co-occurrence of a subject heading and a class notation, and the number of subject headings are the two measures of association used in the study. The study considered 3,280 subject headings and class notations in 1,893 bibliographic records. The results show that as the number of subject headings per bibliographic record increases, the degree of association between subject headings and their corresponding class notation decreases. Except for subject headings with the order of one, LC and DDC were not significantly different. There are 20 references. (Author/RAA) |
| title | Statistical Analysis of the Association Between Subject Headings and Their Corresponding Class Notations in Science and Technology Monographs. |
| topic | Classification Correlation Dewey Decimal Classification Indexing Library of Congress Classification Library Research Regression (Statistics) Subject Index Terms Tables (Data) |
| url | https://eric.ed.gov/?id=ED220092 |