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Social Science Computer Review
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Digital Piracy

A Latent Class Analysis

George E. Higgins

University of Louisville, Kentucky, gehigg01{at}gwise.louisville.edu

Scott E. Wolfe

University of Louisville, Kentucky

Melissa L. Ricketts

Shippensburg University, Pennsylvania

The rates of digital piracy appear to be increasing, suggesting that additional research that uses new approaches is necessary to evaluate the problem. Using data from undergraduate students (n = 353), the present study explores actual digital piracy and the intention to perform piracy using latent class analysis, develops profiles of these individuals, and provides an analysis of the differences between intentions and actual digital piracy for the groups. The results indicate three separate classes for each form of digital piracy and different profiles for each form of piracy. Actual piracy shows more demographic and social learning theory differences among individuals, whereas scenario-based digital piracy shows more self-control and social learning theory differences among individuals. A cross-tab analysis shows that there are differences between individuals who actually perform digital piracy and those who have the intention to pirate. Research and policy implications are discussed from these findings.

Key Words: digital piracy • latent class analysis • computer crime

This version was published on February 1, 2009

Social Science Computer Review, Vol. 27, No. 1, 24-40 (2009)
DOI: 10.1177/0894439308321350
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