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Typologies and taxonomies : an introduction to classification techniques

Author: Kenneth D Bailey
Publisher: Thousand Oaks, Calif. : Sage Publications, ©1994.
Series: Quantitative applications in the social sciences, no. 07-102.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
How do we group different subjects on a variety of variables? Kenneth Bailey addresses such questions and shows how classification methods can be used to improve research.
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Genre/Form: Electronic books
Classification
Additional Physical Format: Print version:
Bailey, Kenneth D.
Typologies and taxonomies.
Thousand Oaks, Calif. : Sage Publications, ©1994
(DLC) 94007960
(OCoLC)30078966
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Kenneth D Bailey
ISBN: 0585217203 9780585217208 9781412986397 1412986397 0803952597 9780803952591
OCLC Number: 44963048
Description: 1 online resource (vi, 90 pages) : illustrations.
Contents: 1. Typologies and taxonomies in social science --
The history of classification in social science --
Advantages and disadvantages of classification --
2. Classical typology construction (precomputer) --
Substruction --
Reduction --
Advantages and disadvantages of conceptual typologies --
3. Numerical taxonomy and cluster analysis --
Criteria for evaluating clustering methods --
A typology of clustering techniques --
Examples of clustering --
Divisive methods --
Evaluation of clusters --
The interpretation of clusters --
Advantages and disadvantages of clustering --
4. Relations among techniques --
Cluster analysis and factor analysis --
Cluster analysis and multidimensional scaling --
Cluster analysis and multiple discriminant analysis --
Classification and systems analysis --
5. Summary and conclusions --
Classification resources --
Classification applications --
Concluding remarks.
Series Title: Quantitative applications in the social sciences, no. 07-102.
Responsibility: Kenneth D. Bailey.
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Abstract:

How do we group different subjects on a variety of variables? Kenneth Bailey addresses such questions and shows how classification methods can be used to improve research.

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