Predictors of shopping online were compared for men and women using a sample of 365 college students. For the men, the only predictor of purchasing products online was the number of hours they spent online. For women, the predictors of making purchases online included anxiety about using computers and attitudes toward money, in addition to the number of hours spent online. The results were examined using OLS and MLE (logit and probit) regressions techniques, and the results from each technique compared and contrasted.
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Document Type: Research Article
Department of Economics and International Business, Drexel University, Philadelphia, PA 19104, USA
Psychology Program, The Richard Stockton College of New Jersey, Pomona, NJ 08240, USA
Publication date: 10 October 2005
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