Relationships between computer self-efficacy, technology, attitudes and anxiety: Development of the computer technology use scale (CTUS)

Journal of Educational Computing Research

Volumn 39, Issue 1, 2008, Pages 51-73

  Conrad, Agatha ^a   Munro, Don ^a  

^a UNIVERSITY OF NEWCASTLE   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 70350341209     PISSN: 07356331     EISSN: None     Source Type: Journal    
DOI: 10.2190/EC.39.1.d     Document Type: Article

References (52)

1. Arbuckle, J. L. (2005). Amos user's guide version 6.0. Chicago, IL: Smallwaters Corporation.
2. Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191-215.
3. Bandura, A. (1986). Social foundation of thought and action: A social cognitive theory. New Jersey: Prentice-Hall.
4. Bandura, A. (1997). Self-efficacy: The exercise of control (Vol. ix). New York: W. H. Freeman/Times Books/Henry Holt & Co.
5. Bandura, A. (1998). Personal and collective efficacy in human adaptation and change. In D. J. G. E. B. Adair & K. L. Dion (Eds.), Advances in psychological science personal, and cultural aspects. Hove: Taylor & Francis.
6. Bandura, A. (1999a). Social cognitive theory: An agentic perspective. Asian Journal of Social Psychology, 2(1), 21-41.
7. Bandura, A. (2000). Exercise of human agency through collective efficacy. Current Directions in Psychological Science, 9(3), 75-78.
8. Bandura, A. (2000b). Self-efficacy: The foundation of agency. In A. W. J. E. G. Perrig (Ed.), Control of human behavior, mental processes and consciousness: Essays in honor of the 60th birthday of August Flammer (pp. 17-33). Mahwah, NJ: Lawrence Erlbaum Associates.
9. Bandura, A. (2001). Social cognitive theory of mass communication. Media Psychology, 3(3), 265-299. (Pubitemid 33689283)
10. Bandura, A., Caprara, G. V., Barbaranelli, C., Gerbino, M., & Pastorelli, C. (2003). Role of affective self-regulatory efficacy in diverse spheres of psychosocial functioning. Child Development, 74(3), 769-782.
11. Barki, H., & Hartwick, J. (1994). Measuring user participation, user involvement and user attitudes. MIS Quarterly, 18(1), 59.
12. Beas, M. I., & Salanova, M. (2006). Self-efficacy beliefs, computer training and psychological well-being among information and communication technology workers. Computers in Human Behavior, 22(6), 1043-1058.
13. Bentler, P. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238-246.
14. Bentler, P., & Bonnett, D. G. (1980. Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88(3), 588-606.
15. Brown, I., & Inoye, D. (1978). Learned helplessness through modelling: The role of perceived similarity in competence. Journal of Personality and Social Psychology, 36, 900-908.
16. Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 136-162). Newbury Park, CA: Sage.
17. Cassidy, S., & Eachus, P. (2002). Developing the Computer User Self-Efficacy (CUSE) Scale: Investigating the relationship between computer self-efficacy, gender and experience with computers. Journal of Educational Computing Research, 26(2), 133-153.
18. Chang, S. E. (2005). Computer anxiety and perception of task complexity in learning programming-related skills. Computers in Human Behavior, 21(5), 713-728.
19. Culpan, O. (1995). Attitudes of end-users towards information technology in manufacturing and service industries. Information and Management, 28(3), 167-176.
20. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003.
21. Eagly, A., & Chaiken, S. (1993). The psychology of attitudes. Sydney: Harcourt Brace Jovanovich.
22. Folkman, S., & Lazarus, R. S. (1980). An analysis of coping in a middle-aged community sample. Journal of Health and Social Behaviour, 21, 219-239.
23. Galagan, P. (1983). Treating computer anxiety with training. Training and Development Journal (July), 57-60.
24. Harris, R. J. (1985). A primer of multivariate statistics (2nd ed.). Orlando: Academic Press.
25. Hartwick, J., & Barki, H. (1994). Explaining the role of user participation in information system use. Management Science, 40(4), 440-465.
26. Heinssen, R. K., Glass, C. R., & Knight, L. A. (1987). Assessing computer anxiety: Development and validation of the Computer Anxiety Rating Scale. Computers in Human Behavior, 3(1), 49-59.
27. Hill, T. N., Smith, D., & Mann, F. A. (1987). Role of efficacy expectations in predicting the decision to use advanced technologies: The case of computers. Journal of Applied Psychology, 72(2), 307-313.
28. Jöreskog, K. G., & Sörbom, D. (1993). LISREL 8: Structural equation modeling with the SIMPLIS command language. Hillsdale, NJ: Lawrence Erlbaum Associates.
29. Kay, R. H. (1989). A practical and theoretical approach to assessing computer attitudes: The Computer Attitude Measure (CAM). Journal of Research on Computing in Education (Summer), 457-463.
30. Koslowsky, M., Hoffman, M., & Lazar, A. (1990). Predicting behavior on a computer from intentions, attitudes, and experience. Current Psychology: Research and Reviews, 9(1), 75-83.
31. LaLomia, M. J., & Sidowski, J. B. (1991). Measurements of computer attitudes: A review. International Journal of Human Computer Interaction, 3(2), 171-197.
32. LaLomia, M. J., & Sidowski, J. B. (1993). Measurement of computer anxiety: A review. International Journal of Human Computer Interaction, 5, 239-266.
33. Lee, R. (1970). Social attitudes and the computer revolution. Public Opinion Quarterly, 35, 53-59.
34. Locke, E. A., & Latham, G. P. (1990). Work motivation and satisfaction: Light at the end of the tunnel. Psychological Science, 1(4), 240-246.
35. Loyd, B., & Gressard, C. (1984). Reliability and factorial validity of computer attitudes scales. Educational and Psychological Measurement, 44, 501-505.
36. Marsh, H. W., Balla, J. R., & Hau, K. L. (1996). An evaluation of incremental fit indices: A classification of mathematical and empirical properties. In G. A. Marcoulides & R. E. Schumacker (Eds.), Advanced structural equation modeling, issues and techniques (pp. 315-353). Mahwah, NJ: Lawrence Erlbaum Associates.
37. Meier, S. T. (1988). Predicting individual differences in performance on computeradministered tests and tasks: Development of the Computer Aversion Scale. Computers in Human Behavior, 4(3), 175-187.
38. Reber, A. (1985). Dictionary of psychology. London: Penguin Books.
39. Rousseau, G. K., Jamieson, B. A., Rogers, W. A., Mead, S. E., & Sit, R. A. (1998). Assessing the usability of on-line library systems. Behaviour & Information Technology, 17(5), 274-281.
40. Salanova, M., Grau, R., Cifre, E., & Llorens, S. (2000). Computer training, frequency of usage and burnout: The moderating role of computer self-efficacy. Computers in Human Behavior, 16(6), 575-590.
41. Schumacker, R. E., & Lomax, R. G. (2004). A beginner's guide to structural education modeling (2nd ed.), New Jersey: Lawrence Erlbaum Associates.
42. Smith, B., Caputi, P., & Rawstorne, P. (2000). Differentiating computer experience and attitudes toward computers: An empirical investigation. Computers in Human Behavior, 16(1), 59-81.
43. Steiger, J. H. (1990). Structural model evaluation and modification: An interval estimation approach. Multivariate Behavioral Research, 25, 173-180.
44. Tabachnick, B. G., & Fidell, L. S. (1996). Using Multivariate Statistics (3rd ed.). New York: HarperCollins College Publishers.
45. Torkzadeh, G., & Angulo, I. E. (1992). The concept and correlates of computer anxiety. Behaviour & Information Technology, 11(2), 99-108.
46. Torkzadeh, G., Pfughoeft, K., & Hall, L. (1999). Computer self-efficacy, training effectiveness and user attitudes: An empirical study. Behaviour &Information Technology, 18(4), 299-309.
47. Tucker, L. R., & Lewis, C. (1973). A reliability coefficient for maximum likelihood factor analysis. Psychometrika, 38, 1-10.
48. Turkle, S. (1995). Identity in the age of the Internet. New York: Simon & Schuster.
49. Venkatesh, V., Morris, M., Davis, G., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.
50. Wallston, K. A. (1992). Hocus-pocus, the focus isn't strictly on locus: Rotter's social learning theory modified for health. Cognitive Therapy and Research, 16(2), 183-199.
51. Wilder, G., Mackie, D., & Cooper, J. (1985). Gender and computers: Two surveys of computer related attitudes. Sex Roles, 13, 215-228.
52. Yan, Z. (2006). Different experiences, different effects: A longitudinal study of learning a computer program in a network environment. Computers in Human Behavior, 22(3), 364-380.