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Classification Techniques in Quantitative Comparative Research: A Meta-Comparison

In: Spatial Economic Science

Author

Listed:
  • Peter Nijkamp

    (Free University)

  • Piet Rietveld

    (Free University)

  • Laura Spierdijk

    (Free University)

Abstract

In our information age there is often an abundance of fragmented data and an overwhelming presence of segmented methodological approaches. There is also an increasing demand for more integrated scientific insights and perspectives. And clearly, there is a need for more research synthesis in the empirical sciences. Empirical research is often based on controlled experimentation, as is witnessed in the research methodology in the natural sciences. In the social sciences however, it appears to be very difficult to apply this research methodology, as both contextual (environmental) conditions and behavioural factors are subject to change. As a consequence, we have witnessed in recent years the emergence of comparative case study research with a view to the identification of common knowledge patterns from distinct classes of information (Bergh et al. 1997; Nijkamp and Pepping 1998). There is an increasing recognition of the added value of empirical research synthesis in the social sciences.

Suggested Citation

  • Peter Nijkamp & Piet Rietveld & Laura Spierdijk, 2000. "Classification Techniques in Quantitative Comparative Research: A Meta-Comparison," Advances in Spatial Science, in: Aura Reggiani (ed.), Spatial Economic Science, chapter 7, pages 102-124, Springer.
    • Handle: RePEc:spr:adspcp:978-3-642-59787-9_7
    DOI: 10.1007/978-3-642-59787-9_7
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    Cited by:

    1. Emmanouil Tranos, 2011. "The Topology and the Emerging Urban Geographies of the Internet Backbone and Aviation Networks in Europe: A Comparative Study," Environment and Planning A, , vol. 43(2), pages 378-392, February.

    More about this item

    Keywords

    Neural Network; Membership Function; Discriminant Analysis; Probit Model; Social Science Research;
    All these keywords.

    JEL classification:

    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access

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