Computers,anxiety, and gender: an analysis of reactions to the Y2K computer problem |
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| Affiliation: | 1. Department of Psychology, The Catholic University of America, Washington, DC 20064, USA;2. Department of Psychiatry and Human Behavior, Brown University Medical School, Box G-BH, Duncan Building, Providence, RI 02912 USA;1. Department of Obstetrics and Gynecology, The University of Texas Medical Branch at Galveston, Galveston, Texas;2. Department of Obstetrics and Gynecology, Johns Hopkins Medicine, Baltimore, Maryland;1. Blood Transfusion Service SRC Berne, Bern, Switzerland;2. Blood Transfusion Service SRC Zurich, Zurich, Switzerland;3. Blood Transfusion Service SRC Vaud, Epalinges, Switzerland;4. Blood Transfusion Service SRC Nordost Schweiz, St. Gallen, Switzerland;5. Blood Transfusion Service SRC Innerschweiz, Luzern, Switzerland;1. Graduate School of Architecture, Planning and Preservation, Columbia University, 400 Avery Hall, 1172 Amsterdam Avenue, New York, NY 10027, USA;2. Universitat Internacional de Catalunya (UIC), Barcelona, Spain;3. The Bartlett Development Planning Unit, University College London, UK;4. Comuna 8, Medellín, Colombia;1. Institute of Resource Biology and Biotechnology, Department of Biotechnology, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China;2. Key Laboratory of Molecular Biophysics Ministry of Education, Huazhong University of Science and Technology, Wuhan 430074, China;3. Wuhan Institute of Biotechnology, Wuhan 430075, China;4. Raffles Institution, Singapore 575954, Singapore |
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| Abstract: | The current study investigated computer attitudes, anxiety, behavior, and gender in the context of a computer-related uncertain event with potentially far-reaching implications, the Y2K computer problem. Internet-based data collection resulted in a sample of 1500 participants who completed questionnaires on a research website. Path analyses showed that Y2K anxiety and preparations were significantly predicted by a number of variables, including computer anxiety and negative attitudes toward computers, trait anxiety, and gender. Trait anxiety significantly predicted computer anxiety and negative attitudes toward computers. Gender significantly predicted Y2K anxiety, trait anxiety, and computer anxiety, but indirect effects of gender on Y2K anxiety as mediated by the other variables were not significant, suggesting that women's higher levels of trait and computer anxiety did not explain their greater Y2K anxiety. The path model with the best overall fit included computer anxiety predicting negative attitudes computers rather than vice versa. Implications for interventions aimed at reducing situation-specific computer anxiety are discussed, including the importance of targeting anxiety directly, not just negative thoughts about computers. |
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