SCIENTISTS AND INFORMATION I. USING CLUSTER ANALYSIS TO IDENTIFY INFORMATION STYLE
Identifieur interne : 001A03 ( Main/Exploration ); précédent : 001A02; suivant : 001A04SCIENTISTS AND INFORMATION I. USING CLUSTER ANALYSIS TO IDENTIFY INFORMATION STYLE
Auteurs : Judith PalmerSource :
- Journal of Documentation [ 0022-0418 ] ; 1991-02-01.
Abstract
Semistructured, indepth interviews were used to explore the influence of personality, discipline and organisational structure on the information behaviour of biochemists, entomologists and statisticians working at an agricultural research station n 67. Cluster analysis was used to reveal groupings in the data. Library and documentbased activities did not differentiate individuals. Computer use, both for scientific work and information handling, and the degree of enthusiasm displayed for actively seeking information divided the population. Discipline, work role and time spent in the subject field and organisation were the most important determinants of information behaviour. There were some indications of malefemale differences in information behaviour. A comparison of the groups obtained from the cluster analysis with a subjective classification showed the former to be more robust in later analysis.
Url:
- https://api.istex.fr/document/366B6EBCA462F75955C03F3DEFDF53D52D451E0E/fulltext/pdf
- https://api.istex.fr/document/B49CBF79338C8B5A7091978EE9308F81192C4A40/fulltext/pdf
DOI: 10.1108/eb026873
Affiliations:
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Le document en format XML
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<front><div type="abstract" xml:lang="en">Semistructured, indepth interviews were used to explore the influence of personality, discipline and organisational structure on the information behaviour of biochemists, entomologists and statisticians working at an agricultural research station n 67. Cluster analysis was used to reveal groupings in the data. Library and documentbased activities did not differentiate individuals. Computer use, both for scientific work and information handling, and the degree of enthusiasm displayed for actively seeking information divided the population. Discipline, work role and time spent in the subject field and organisation were the most important determinants of information behaviour. There were some indications of malefemale differences in information behaviour. A comparison of the groups obtained from the cluster analysis with a subjective classification showed the former to be more robust in later analysis.</div>
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