Research Report: The Role of Behavioral Modeling in Computer Skills Acquisition: Toward Refinement of the Model

References

  • Arbuckle J. L., Wothke W.AMOS 4.0 User's Guide (1999) (Smallwaters Corporation, Chicago, IL) Google Scholar
  • Bandura A., Bandura. Psychological Modeling: Conflicting Theories (1971) (Aldine/Atherton, Chicago, IL) 112–127Influence of model's reinforcement contingencies on the acquisition of imitative responsesGoogle Scholar
  • Bandura A. Self-efficacy: Toward a unifying theory of behavioral change. Psych. Rev. (1977a) 84(2):191–215CrossrefGoogle Scholar
  • Bandura A.Social Learning Theory (1977b) (Prentice-Hall, Englewood Cliffs NJ) Google Scholar
  • Bandura A. Reflections on self-efficacy. Adv. Behavioral Res. Therapy (1978) 1:237–269CrossrefGoogle Scholar
  • Bandura A.Self-Efficacy Social Foundations of Thought and Action: A Social Cognitive Theory (1986) (Prentice-Hall, Englewood Cliffs, NJ) Google Scholar
  • Bandura A.Self-Efficacy: The Exercise of Control (1997) (W. H. Freeman, New York) Google Scholar
  • Bandura A., Schunk D. H. Cultivating competence, self-efficacy, and intrinsic motivation through proximal self-motivation. J. Personality and Social Psych. (1981) 41(3):586–598CrossrefGoogle Scholar
  • Bentler P. M.EQS: Structural Equations Manual (1990) (BMDP Statistical Software Inc., Los Angeles, CA) Google Scholar
  • Bentler P. M., Weeks D. G. Linear structural equations with latent variables. Psychometrika (1980) 45:289–308CrossrefGoogle Scholar
  • Bostrom R. P., Olfman L., Sein M. K. The importance of learning style in end-user training. MIS Quart. (1990) 14(1):101–117CrossrefGoogle Scholar
  • Compeau D. R. (1992) (The University of Western Ontario, Ontario, Canada) . Individual reactions to computing technology. Unpublished doctoral dissertationGoogle Scholar
  • Compeau D. R., Higgins C. A. Application of social cognitive theory to training for computer skills. Inform. Systems Res. (1995) 6(2):118–143LinkGoogle Scholar
  • Davis F. D. Perceived usefulness perceived ease of use, and user acceptance of information technology. MIS Quart. (1989) 13(3):319–339CrossrefGoogle Scholar
  • Gist M. E., Schwoerer C., Rosen B. Effects of alternative training methods on self-efficacy and performance in computer software training. J. Appl. Psycho. (1989) 74(6):884–891CrossrefGoogle Scholar
  • Glass C. G., Knight L. A. Cognitive factors in computer anxiety. Cognitive Therapy Res. (1988) 12:351–366CrossrefGoogle Scholar
  • Harrison A. W., Rainer J. R. K. An examination of the factor structures and concurrent validities for the computer attitude scale, the computer anxiety rating scale, and the computer self-efficacy scale. Ed. Psycho. Measurement (1992) 52:735–745CrossrefGoogle Scholar
  • Heinssen R. K., Glass C. R., Knight L. A. Assessing computer anxiety: Development and validation of the computer anxiety rating scale. Comput. Human Behavior (1987) 3:49–59CrossrefGoogle Scholar
  • Keren G. Calibration of probability judgments: conceptual and methodological issues. Acta Psycho. (1991) 77:217–273CrossrefGoogle Scholar
  • Latham G. P., Saari L. M. Application of social-learning theory to training supervisors through behavioral modeling. J. Appl. Psych. (1979) 64(3):239–246CrossrefGoogle Scholar
  • Lazarus R. S., Folkman S. (1984) (Springer Publishing Company, New York) . Stress, Appraisal & CopingGoogle Scholar
  • Lee C., Locke E. A., Phan S. H. Explaining the assigned goal-incentive interaction: The role of self-efficacy and personal goals. J. Management (1997) 23(4):541–559Google Scholar
  • Lichtenstein S., Fischhoff B., Phillisp L. D., Kahneman. Judgment Under uncertainty: Heursitics & Biases (1982) (New York University Press, New York) . Calibration of probabilities: The state of the art to 1980Google Scholar
  • Locke E. A., Frederick E., Lee C. L., Bobko P. Effect of self-efficacy, goals, and task strategies on task performance. J. Appl. Psycho. (1984) 59(2):241–251CrossrefGoogle Scholar
  • Manz C. C., Sims H. P. Vicarious learning: The influence of modeling on organizational behavior. Acad. Management Rev. (1981) 6(1):105–113CrossrefGoogle Scholar
  • Marakas G. M., Johnson R. D., Yi M. Y. (1999) (Working paper, Indiana University, Bloomington, IN) . The importance of divergent validity in measurement development: Development of a measure of computer self-efficacy at the general and task specific levelGoogle Scholar
  • Marakas M. Y. Yi, Johnson R. D. The multilevel and multifaceted character of computer self-efficacy: Toward clarification of the construct and an integrative framework for research. Inform. Systems Res. (1998) 9(2):126–163LinkGoogle Scholar
  • Meier S. T. Computer aversion. Comput. Human Behavior (1988) 1:171–179CrossrefGoogle Scholar
  • Murphy A. H., Winkler R. L. Reliability of subjective probability forecasts of precipitation and temperature. Appl. Statis. (1977) 26:41–47CrossrefGoogle Scholar
  • Pfeifer P. E. Are we overconfident in the belief that probability forecasters are overconfident? Organ. Behavior Human Decision Processes (1994) 58:203–213CrossrefGoogle Scholar
  • Rosen L., Sears D. C., Weil M. Computerphobia. Behavior Res. Methods, Instruments, Comput. (1987) 19(2):167–179CrossrefGoogle Scholar
  • Schunk D. H. Modeling and attributional effects on children's achievement: A self-efficacy analysis. J. Edu. Psych. (1981) 73(1):93–105CrossrefGoogle Scholar
  • Spence M. T. Problem solver characteristics affecting the calibration of judgments. Organ. Behavior and Human Decision Processes (1996) 67(3):271–279CrossrefGoogle Scholar
  • Thompson R. L., Higgins C. A., Howell J. M. Personal computing: Toward a conceptual model of utilization. MIS Quart. (1991) 15(1):125–142CrossrefGoogle Scholar
  • Tomassini L. A., Solomon I., Romney M. B., Krogstad J. L. Calibration of auditors' probabilistic judgments: Some empirical evidence. Organ. Behavior Human Decision Processes (1982) 57:290–302Google Scholar
  • Triandis H. C. (1980) (Lincoln, NB). Values attitudes, and interpersonal behavior. Paper presented at the Nebraska symposium on motivation 1979 Beliefs, Attitudes, and ValuesGoogle Scholar
  • Vroom V. H.Work and Motivation (1964) (Wiley, New York) Google Scholar
  • Wood R., Bandura A. Social cognitive theory of organizational management. Acad. Management Rev. (1989) 14(3):361–384CrossrefGoogle Scholar
  • Yi M. Y. (1998) (University of Maryland, College Park, MD) . Developing and validating an observational learning model of computer software training. Unpublished doctoral dissertationGoogle Scholar
INFORMS site uses cookies to store information on your computer. Some are essential to make our site work; Others help us improve the user experience. By using this site, you consent to the placement of these cookies. Please read our Privacy Statement to learn more.