Manfred Kuechler, Hunter College (CUNY)
Version: April 2000

The Web as a Research Tool
in the Social Sciences
-- Outline --


Scope of the presentation

The four major benefits

Textual data

Such documents are important primary sources for a wide range of research topics, especially topics in the area of  social and political change, public policy, institutional and organizational analysis, etc.

Sample projects

A. INTERNATIONAL INTERDISCIPLINARY STUDY OF NATION BUILDING FOR KOREAN UNIFICATION B. GERMAN ELECTIONS 1998 The next two items are examples for quantitative data discussed in the next section:

Sources for Quantitative Data

These include census data and other official statistics as well as public opinion (survey) data. They may be available as full data sets (in various formats) or as tables; they may be embedded in a narrative or as just a set of numbers. The ultimate site for keeping track of Web sources supplying quantitative data is maintained at the University of California at San Diego.

Sample sites for (mostly) tabular data:

Sample sites for data sets/question banks:

Remote statistics

This is a logical extension of traditional data archives on the one hand and data in pre-arranged tables (whether in old-fashioned printed volumes or delivered via the Web) on the other. The user conveys his/her need for a specific statistical analysis (be it a cross-tabulation or a bar chart) via convenient Web forms to a remote server. There, this request is (automatically) translated into the language of a statistical analysis program (like SAS or SPSS) and the job is run. The results (output) are send to the requester via the Web.

This allows for great flexibility as to exactly what statistical analysis is needed and it frees the user from having access to or even knowing how to run statistical software. In addition, there are several sites that provide statistical maps on demands.

Literature searches

This have been made much easier, much faster, and much more efficient through the use of the Web in at least four ways:

Usage Problems

Technical prerequisites

While it is possible to run Win3.x and a web browser like Netscape on an old 386 machine with as little as 8 MB memory (it is even possible to browse the Web on a 286 under DOS using a browser like lynx), any serious use of the Web for research requires a bit more in hardware and some effort in installing efficient browsing software. The following describes an efficient setup -- though not everything is absolutely necessary and, of course, it is possible to use a Mac instead of a system running under  MS Windows. Possible additions:

Conclusion

I see three major general effects of using the Web for research: And as a consequence, we may experience a shift in emphasis on specific tools.  In particular, methods to manage and analyze large quantities of qualitative (textual) data -- computer-aided content analysis -- may see a revival and/or a renewed push for further development. A comprehensive guide to software and publications related to content analysis is maintained at Georgia State University. There is also a specific e-mail list for the discussion of topics related to content analysis called CONTENT (subscribe).
There are similar sites in Great Britain and Germany: Computer Assisted Qualitative Data Analysis Software (CAQDAS) and a page maintained by Harald Klein including a very useful software overview, now even in an English version.


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