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Research Methodology

Computer-Intensive Methods in the Social Sciences

University of Connecticut

Gustavo A. Gurrieri

University of Connecticut

With the availability of powerful, inexpensive computer hardware and software, computer-intensive statistical methods are becoming more commonly applied in the social sciences. These methods frequently offer a number of advantages over traditional parametric procedures. This article briefly reviews four computer-intensive methods (permutation/randomization tests, bootstrapping, the jack knife, and cross-validation), discusses some of the strengths and weaknesses of these approaches, provides example applications, and discusses five commercially available software packages that may be used to implement these methods.

Key Words: computer intensive • resampling • randomization tests • permutation tests • bootstrapping • jackknife • cross-validation • Monte Carlo simulation

Social Science Computer Review, Vol. 15, No. 1, 83-97 (1997)
DOI: 10.1177/089443939701500108


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