Assessing general and specific attitudes in human learning behavior: An activity perspective and a multilevel modeling approach

Educational and Psychological Measurement

Volumn 68, Issue 2, 2008, Pages 245-261

  Sun, Jun ^a   Willson, Victor L ^b  

^a UNIVERSITY OF TEXAS PAN AMERICAN   (United States)

^b TEXAS A AND M UNIVERSITY   (United States)

Author keywords

Activity theory; Expansive learning; Facet analysis; General attitude; Measurement validity; Multilevel structural equation modeling; Specific attitude

Indexed keywords

EID: 40849096082     PISSN: 00131644     EISSN: 15523888     Source Type: Journal    
DOI: 10.1177/0013164407308510     Document Type: Article

References (44)

1. Ajzen, I., & Fishbein, M. (1977). Attitude-behavior relation: A theoretical analysis and review of empirical research. Psychological Bulletin, 84, 888-918.
2. Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Englewood Cliffs, NJ: Prentice Hall.
3. Breckler, S.J. (1984). Empirical validation of affect, behavior, and cognition as distinct components of attitude. Journal of Personality and Social Psychology, 47, 1191-1205.
4. Brown, S.A., & Vician, M. (1997). Understanding computer anxiety and communication apprehension as antecedents to student experiences with technology-supported learning environments. Bloomington: Indiana University.
5. Campbell, D.T., & Fiske, D.W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56, 81-105.
6. Crites, S.L.J., Fabrigar, L.R., & Petty, R.E. (1994). Measuring the affective and cognitive properties of attitudes: Conceptual and methodological issues. Psychological and Social Psychology Bulletin, 20 (6). 619-634.
7. Dancer, L.S. (1990). Introduction to facet theory and its applications. Applied Psychology: An International Review, 39, 365-377.
8. De Houwer, J., Thomas, S., & Baeyens, F. (2001). Associative learning of likes and dislikes: A review of 25 years of research on human evaluative conditioning. Psychological Bulletin, 127, 853-869.
9. Eagly, A.H., & Chaiken, S. (1993). The psychology of attitudes. Fort Worth, TX: Harcourt Brace Jovanovich.
10. Eagly, A.H., & Chaiken, S. (1998). Attitude structure and function. In D. Gilbert, S. Fiske, & G. Lindzey (Eds.), The handbook of social psychology (4 th ed., Vol. 1, pp. 269-322). New York: McGraw-Hill.
11. Engestrom, Y. (2001). Expansive learning at work: Toward an activity theoretical reconceptualization. Journal of Education and Work, 14, 133-156.
12. Gardner, R.C. (1985). Social psychology and second language learning: The role of attitudes and motivation. London, UK: Edward Arnold Publishers.
13. Goldstein, H., & McDonald, R. (1988). A general model for the analysis of multilevel data. Psychometrika, 53, 455-467.
14. Guttman, L. (1954). A new approach to factor analysis: The Radix. In P. F. Lazarsfeld (Ed.), Mathematical thinking in the social sciences (pp. 258-348). New York: Free Press.
15. Guttman, L. (1957). Introduction to facet design and analysis. In Proceedings of the Fifteenth International Congress of Psychology, Brussels. Amsterdam: North Holland Publishing.
16. Heinssen, R.K.J., Glass, C.R., & Knight, L.A. (1987). Assessing computer anxiety: Development and validation of the computer anxiety rating scale. Computers in Human Behavior, 3, 49-59.
17. Hox, J.J. (1998). Multilevel modeling: When and why. In I. Balderjahn, R. Mathar, & M. Schader (Eds.), Classification, data analysis, and data highways (pp. 147-154). New York: Springer-Verlag.
18. Hox, J.J. (1999). SPLIT2 (Version 2) [computer software]. Utrecht, The Netherlands: Author.
19. Hox, J.J. (2002). Multilevel analysis: Techniques and applications. Mahwah, NJ: Lawrence Erlbaum.
20. Hwang, M.I. (1994). Decision making under time pressure: A model for information systems research. Information and Management, 27, 197-203.
21. Katz, R.L. (1988). The information society: An international perspective. Westport, CT: Praeger.
22. Kenny, D.A. (1976). An empirical application of confirmatory factor analysis to the multitrait-multimethod matrix. Journal of Experimental Social Psychology, 12, 247-252.
23. Kozulin, A. (1998). Psychological tools: A sociocultural approach to education. Cambridge, MA: Harvard University Press.
24. Leontev, A.N. (1978). Activity, consciousness and personality. Englewood Cliffs, NJ: Prentice Hall.
25. Loevinger, J. (1957). Objective tests as instruments of psychological theory. Psychological Reports, 3, 635-694.
26. Marsh, H.W., & Bailey, M. (1991). Confirmatory factor analyses of multitrait-multimethod data: Comparison of the behavior of alternative models. Applied Psychological Measurement, 15, 47-70.
27. McAuley, E., Duncan, T., & Tammen, V.V. (1989). Psychometric properties of the Intrinsic Motivation Inventory in a competitive sport setting: A confirmatory factor analysis. Research Quarterly for Exercise and Sport, 60, 48-58.
28. Messick, S. (1989). Validity. In R. L. Linn (Ed.), Educational measurement (3 rd ed., pp. 13-103). New York: American Council on Education and Macmillan Publishing Company.
29. Muthn, B. (1989). Latent variable modeling in heterogeneous populations. Psychometrika, 54, 557-585.
30. Muthn, B. (1990). Means and covariance structure analysis of hierarchical data. Los Angeles: UCLA Statistics Series 62.
31. Muthn, B. (1994). Multilevel covariance structure analysis. Sociological Methods & Research, 22, 376-398.
32. Nunnally, J.C., & Bernstein, I.H. (1994). Psychometric theory (3 rd ed.). New York: McGraw-Hill.
33. Plant, R.W., & Ryan, R.M. (1985). Intrinsic motivation and the effects of self-consciousness, self-awareness, and ego-involvement: An investigation of internally-controlling styles. Journal of Personality, 53, 435-449.
34. Simonson, M.R., Maurer, M., Montag-Torardi, M., & Whitaker, M. (1987). Development of a standardized test of computer literacy and a computer anxiety index. Journal of Educational Computing Research, 3, 231-247.
35. Streitfeld, B., & Wilson, M. (1986). The ABCs of categorical perception. Cognitive Psychology, 18, 432-451.
36. Sun, J. (2005). Assessing goodness of fit in confirmatory factor analysis. Measurement and Evaluation in Counseling and Development, 37, 240-256.
37. Sun, J. (2007). Information systems interaction readiness (ISIR) scales. In N. J. Salkind (ed.) Encyclopedia of Measurement & Statistics (Vol. II, pp. 464-465). Thousand Oaks, CA: SAGE Publications.
38. Taylor, S., & Todd, P. (1995). Assessing IT usage: The role of prior experience. MIS Quarterly, 19, 561-570.
39. Thurstone, L.L. (1928). Attitudes can be measured. American Journal of Sociology, 33, 539-554.
40. Vallerand, R.J. (1997). Toward a hierarchical model of intrinsic and extrinsic motivation. In M. Zanna (Ed.), Advances in experimental social psychology: Vol. 29 (pp. 271-360). New York: Academic Press.
41. Voss, K.E., Spangenberg, E.R., & Grohmann, B. (2003). Measuring the hedonic and utilitarian dimensions of consumer attitude. Journal of Marketing Research, 40, 310-320.
42. Vygotsky, L.S. (1978). Mind in society: The development of higher psychological processes. Cambridge, MA: Harvard University Press.
43. Vygotsky, L.S. (1981). The instrumental method in psychology. In J. V. Wertsch (Ed.), The concept of activity in Soviet psychology (pp. 134-143). Armonk, NY: Sharpe.
44. Zimprich, D., Perren, S., & Hornung, R. (2005). A two-level confirmatory factor analysis of a modified Rosenberg self-esteem scale. Educational and Psychological Measurement, 65, 465-481.