Scientometrics
Volume/Issue:
Volume 42: Issue 3
Interdisciplinary question generation: Synthesis and validity analysis of the 1993–1997 bovine mastitis-related literature
Authors:
A. Rivas Cornell University College of Veterinary Medicine 14850 Ithaca NY (USA)

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J. Deshler Cornell University College of Agriculature and Life Sciences 14850 Ithaca NY (USA)

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F. Quimby Cornell University College of Veterinary Medicine 14850 Ithaca NY (USA)

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H. Mohammed Cornell University College of Veterinary Medicine 14850 Ithaca NY (USA)

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D. Wilson Cornell University College of Veterinary Medicine 14850 Ithaca NY (USA)

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R. Gonzalez Cornell University College of Veterinary Medicine 14850 Ithaca NY (USA)

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D. Lein Cornell University College of Veterinary Medicine 14850 Ithaca NY (USA)

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P. Bruso Cornell University College of Veterinary Medicine 14850 Ithaca NY (USA)

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Pages:
377–403
Online Publication Date:
26 Jul 2006
Publication Date:
01 Oct 1998
Article Category:
Research Article
DOI:
https://doi.org/10.1007/bf02458378
Restricted access

Abstract  

Interdisciplinary synthesis and validity analysis (ISVA), a structured learning approach which integrates learning and communication theories, meta-analytic evaluation methods, and literature management-related technologies was applied in the context of the 1993–1997 bovine mastitis research literature. This study investigated whether ISVA could: 1) facilitate the analysis and synthesis of interdisciplinary knowledge claims, and 2) generate projects or research questions. The bovine mastitis-related literature was conceptualized as composed of microbiological, immunological, and epidemiological dimensions. Keywords involving these dimensions were searched in theMedline andAgricola databases. A final list of 148 articles were retrieved, analyzed, synthesized into fifteen information sub-sets, and evaluated for construct, internal, external and statistical validity through an interdisciplinary iterative dialogical process. Validity threats were re-phrased as new research or educational projects.

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Cover Scientometrics
Scientometrics
Print ISSN:
0138-9130
Online ISSN:
1588-2861

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Manuscript submission: http://www.editorialmanager.com/scim/

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Scientometrics
Language English
Size B5
Year of
Foundation		 1978
Volumes
per Year		 1
Issues
per Year		 12
Founder Akadémiai Kiadó
Founder's
Address		 H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Publisher Akadémiai Kiadó
Springer Nature Switzerland AG
Publisher's
Address		 H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
CH-6330 Cham, Switzerland Gewerbestrasse 11.
Responsible
Publisher		 Chief Executive Officer, Akadémiai Kiadó
ISSN 0138-9130 (Print)
ISSN 1588-2861 (Online)

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