The development, validation, and analysis of measurement invariance of the technology acceptance measure for preservice teachers (tampst)

Educational and Psychological Measurement

Volumn 70, Issue 6, 2010, Pages 990-1006

  Teo, Timothy ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

development; measure; preservice teachers; structural equation modeling; technology acceptance

Indexed keywords

EID: 78650424062     PISSN: 00131644     EISSN: 15523888     Source Type: Journal    
DOI: 10.1177/0013164410378087     Document Type: Article

References (53)

1. Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179-211.
2. Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Englewood Cliffs, NJ: Prentice Hall.
3. Ajzen, I., & Fishbein, M. (2005). The influence of attitudes on behavior. In D. Albarracín, B. T. Johnson, & M. P. Zanna (Eds.), The handbook of attitudes (pp. 173-221). Mahwah, NJ: Lawrence Erlbaum.
4. Arbuckle, J.L. (2006). AMOS (version 7.0). Chicago, IL: SPPS.
5. Baek, Y., Jung, J., & Kim, B. (2008). What makes teachers use technology in the classroom? Computers & Education, 50, 224-234.
6. Bear, G.G., Richards, H.C., & Lancaster, P. (1987). Attitudes towards computers: Validation of a computer attitudes scale. Journal of Computing Research, 32, 207-219.
7. Becker, R., & Anderson, H. (1998). Teacher's survey: Combined versions 1-4. Teaching, learning, and computing. University of California, Irvine, CA.
8. Brown, T.A. (2006). Confirmatory factor analysis for applied research. New York, NY: Guild-ford Press.
9. Burkhardt, M.E. (1994). Social interaction effects following a technological change: A longitudinal investigation. Academy of Management Journal, 37, 869-898.
10. Carmines, E.G., & McIver, J.P. (1981). Analyzing models with unobserved variables: Analysis of covariance structures. In George W. Bohrnstedt & Edgar F. Borgatta (Eds.), Social measurement: Current issues (pp. 65-115). Beverly Hills, CA: Sage.
11. Cattell, R.B. (1966). The scree test for the number of factors. Multivariate Behavioral Research, 1, 245-276.
12. Chanlin, L.J., Hong, J.C., Horng, J.S., Chang, S.H., & Chu, H.C. (2007). Factors influencing technology integration in teaching: A Taiwanese perspective. Innovations in Education and Teaching International, 43, 57-68.
13. Cheung, G.W., & Rensvold, R.B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling, 9, 233-255.
14. Davis, F.D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13, 319-340.
15. Fishbein, M., & Ajzen, L. (1975). Belief, attitude intention and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.
16. Flowers, C.P., & Algozzine, R.F. (2000). Development and validation of scores on the basic technology competencies for educators inventory. Educational and Psychological Measurement, 60, 411-418.
17. Gong, M., Xu, Y., & Yu, Y. (2004). An enhanced technology acceptance model for web-based learning. Journal of Information Systems Education, 15, 365-374.
18. Hair, J.F., Jr., Black, W.C., Babin, B.J., Anderson, R.E., & Tatham, R.L. (2006). Multivariate data analysis (6th ed.). Upper Saddle River, NJ: Prentice Hall.
19. Hayton, J.C., Allen, D.G., & Scarpello, V. (2004). Factor retention decisions in exploratory factor analysis: A tutorial on parallel analysis. Organizational Research Methods, 7, 191-205.
20. Horn, J.L. (1965). A rationale and test for the number of factors in factor analysis. Psychometrika, 32, 179-185.
21. Henson, R.K. (2001). Understanding internal consistency reliability estimates: A conceptual primer on coefficient alpha. Measurement and Evaluation in Counseling and Development, 34, 177-189.
22. Henson, R.K., & Roberts, J.K. (2006). Use of exploratory factor analysis in published research: Common errors and some comment on improved practice. Educational and Psychological Measurement, 66, 393-416.
23. Hogarty, K.Y., Lang, T.P., & Kromrey, J.D. (2003). Another look at technology use in classrooms: The development and validation of an instrument to measure teachers' perceptions. Educational and Psychological Measurement, 63, 139-162.
24. Hu, L.T., & Bentler, P.M. (1995). Evaluating model fit. In R. H. Hoyle (Ed.), Structural equation modeling. Concepts, issues, and applications (pp. 76-99). London, England: Sage.
25. Hu, L.T., & Bentler, P.M. (1998). Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification. Psychological Methods, 3, 424-453.
26. Hu, P.J., Clark, T.H.K., & Ma, W.W. (2003). Examining technology acceptance by school teachers: A longitudinal study. Information & Management, 41, 227-241.
27. Kaiser, H.F. (1960). The application of electronic computers to factor analysis. Educational and Psychological Measurement, 20, 141-151.
28. Kline, R.B. (2005). Principles and practice of structural equation modelling (2nd ed.). New York, NY: Guilford.
29. LaLomia, M.J., & Sidowski, J.B. (1990). Measurements of computer satisfaction, literacy, and aptitudes: A review. International Journal of Human-Computer Interaction, 2, 231-253.
30. Levine, T., & Donitsa-Schmidt, S. (1998). Computer use, confidence, attitudes, and knowledge: A causal analysis. Computers in Human Behavior, 14, 125-146.
31. Lim, C.P., & Khine, M.S. (2006). Managing teachers' barriers to ICT integration in Singapore schools. Journal of Technology and Teacher Education, 1, 97-125.
32. Loyd, H., & Gressard, C. (1984). Reliability and factorial validity of computer attitude scales. Educational and Psychological Measurement, 44, 501-505.
33. Loyd, H., & Loyd, D.E. (1985). The reliability and validity of an instrument for the assessment of computer attitudes. Educational and Psychological Measurement, 45, 903-908.
34. Monsakul, J., Espinoza, S., & Un, K.S. (2007). Pre-service teachers' ICT competency in Thailand. Academic Exchange Quarterly, 11, 46-50.
35. Ngai, E.W.T., Poon, J.K.L., & Chan, Y.H.C. (2007). Empirical examination of the adoption of WebCT using TAM. Computers & Education, 48, 250-267.
36. Nickell, G.S., & Pinto, J.N. (1986). The computer attitude scale. Computers in Human Behavior, 2, 301-306.
37. Nunnally, J.C. (1978). Introduction to psychological measurement. New York, NY: McGraw-Hill.
38. O'Conner, B.P. (2000). SPSS and SAS programs for determining the number of components using parallel analysis and Velicer's MAP test. Behavior Research Methods, Instruments, and Computers, 32, 396-402.
39. Rainer, R.K., Jr., & Miller, M.D. (1996). An assessment of the psychometric properties of the computer attitude scale. Computers in Human Behavior, 12, 93-105.
40. Raykov, T., & Marcoulides, G.A. (2008). An introduction to applied multivariate analysis. New York, NY: Routledge.
41. Robertson, I. (2007). Factors influencing vocational teachers' use of online functionalities in Australia. Australasian Journal of Educational Technology, 23, 371-389.
42. Schmitt, N., & Kuljanin, G. (2008). Measurement invariance: Review of practice and implications. Human Resource Management Review, 18, 210-222.
43. Selwyn, N. (1997). Students' attitudes toward computers: Validation of a computer attitude scale for 16-19 education. Computers & Education, 28, 35-41.
44. Smarkola, C. (2007). Technology acceptance predictors among student teachers and experienced classroom teachers. Journal of Educational Computing Research, 31, 65-82.
45. Teo, T. (2009). Modelling technology acceptance in education: A study of pre-service teachers. Computers & Education, 52, 302-312.
46. Teo, T., Lee, C.B., & Chai, C.S. (2008). Understanding pre-service teachers' computer attitudes: Applying and extending the technology acceptance model (TAM). Journal of Computer Assisted Learning, 24, 128-143.
47. Teo, T., & Noyes, J. (2008). Development and validation of a computer attitude measure for young students (CAMYS). Computers in Human Behavior, 24, 2659-2667.
48. Teo, T., Wong, S.L., & Chai, C.S. (2008). A cross-cultural examination of the intention to use technology between Singaporean and Malaysian pre-service teachers: An application of the technology acceptance model (TAM). Journal of Educational Technology and Society, 11, 265-280.
49. Venkatesh, V., & Davis, F.D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46, 186-204.
50. Venkatesh, V., Morris, M.G., Davis, G.B., & Davis, F.D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27, 425-478.
51. Zhao, Y., & Cziko, G.A. (2001). Teacher adoption of technology: A perceptual control theory perspective. Journal of Technology and Teacher Education, 9, 5-30.
52. Zhao, Y., Tan, S.H., & Mishra, T.P. (2000). Teaching and learning: Whose computer is it? Journal of Adolescent & Adult Literacy, 44, 212-219.
53. Zwick, W.R., & Velicer, W.F. (1986). Factors influencing five rules for determining the number of components to retain. Psychological Bulletin, 99, 432-442.