Use and Interpretation of Factor Analysis in The Journal of Educational Research: 1992-2002

Journal of Educational Research

Volumn 98, Issue 1, 2004, Pages 14-23

  Pohlmann, John T ^a  

^a SOUTHERN ILLINOIS UNIVERSITY   (United States)

Author keywords

Confirmatory factor analysis; Exploratory factor analysis; Factor analysis

Indexed keywords

EID: 25844467901     PISSN: 00220671     EISSN: 19400675     Source Type: Journal    
DOI: 10.3200/JOER.98.1.14-23     Document Type: Article

References (63)

1. Bainer, D. L., & Didham, C. (1994). Mentoring and other support behaviors in elementary schools. The Journal of Educational Research, 87, 240-247.
2. Bentler, P. M., & Bonnet, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88, 588-606.
3. Bickell, R., & Lange, L. (1995). Opportunities, costs and high school completion in West Virginia, a replication of Florida research. The Journal of Educational Research, 88, 363-370.
4. Bollen, K. A. (1989). Structural equations with latent variables. New York: Wiley.
5. Carroll, J. B. (1953). An analytical solution for approximating simple structure in factor analysis. Psychometrika, 18, 23.
6. Cattell, R. B. (1958). Extracting the correct number of factors in factor analysis. Educational Researcher, 18, 791-838.
7. Cattell, R. B. (1966). The scree test for the number of factors. Multivariate Behavioral Research, 1, 245-276.
8. Cattell, R. B., & Vogelman, S. (1977). A comprehensive trial of the scree and KG criteria for determining the number of factors. Multivariate Behavioral Research, 12, 289-325.
9. Cheng, D., Hattie, J., & Davis, N. (2001). Reexamining the stages of concern questionnaire: A test of alternative models. The Journal of Educational Research, 94, 226-236.
10. Comrey, A. L., & Lee, H. B. (1992). A first course in factor analysis (2nd ed.). Hillsdale, NJ: Erlbaum.
11. Deemer, S. A., & Minke, K. M. (1999). An investigation of the factor structure of the teacher efficacy scale. The Journal of Educational Research, 93, 3-10.
12. Diamond, K. E., Reagan, A. J., & Bandyk, J. E. (2000). Parents’ conceptions of kindergarten readiness: Relationships with race, ethnicity and development. The Journal of Educational Research, 94, 93-100.
13. Feuerstein, A. (2000). School characteristics and parent involvement in participation in children’s schools. The Journal of Educational Research, 94, 29-40.
14. Gibson, S., & Dembo, M. H. (1984). Teacher efficacy: A construct validation. Journal of Educational Psychology, 76, 569-582.
15. Gorsuch, R. L. (1983). Factor analysis (2nd ed.). Hillsdale, NJ: Erlbaum.
16. Gualdagnoli, E., & Velicer, W F. (1988). Relation of sample size to the stability of components patterns. Psychological Bulletin, 103, 568-580.
17. Guttman, L. (1954). Some necessary conditions for common factor analysis. Psychometrika, 19, 149-161.
18. Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W C. (1998). Multivariate data analysis (5th ed.). Upper Saddle River, NJ: Prentice-Hall.
19. Harman, H. H. (1976). Modern factor analysis (3rd ed. rev.). Chicago: University of Chicago Press.
20. Horn, J. L. (1965). A rationale and test for the number of factors in factor analysis. Psychometrika, 30, 179-185.
21. Johnson, V. G. (1994). Student teachers’ perceptions of classroom control. The Journal of Educational Research, 88, 109-117.
22. Jöreskog, K. G. (1963). Statistical estimation in factor analysis. Stockholm, Sweden: Almqvist & Wicksell.
23. Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34, 183-202.
24. Jöreskog, K. G., & Sörbom, D. (1979). Advances in factor analysis and structural equation models. Cambridge, MA: Abt Books.
25. Kaiser, H. F. (1958). The varimax criterion for analytic rotation in factor analysis. Psychometrika, 23, 187-200.
26. Kaiser, H. F. (1960). The application of electronic computers to factor analysis. Educational and Psychological Measurement, 20, 141-151.
27. Kaiser, H. F. (1961). A note on Guttman's lower bound for the number of common factors. British Journal of Statistical Psychology, 14, 1.
28. Lin, H., & Taylor, J. (2002). Influence of culture and education on U.S. and Taiwan preservice teacher’s efficacy beliefs. The Journal of Educational Research, 96, 37-46.
29. Loadman, W E., Freeman, D. J., & Brookhart, S. M. (1999). Development of a national survey of teacher education program graduates. The Journal of Educational Research, 93, 76-89.
30. Loehlin, J. C. (1987). Latent variable models: An introduction to factor, path, and structural analysis. Hillsdale, NJ: Erlbaum.
31. Marshall, P. L. (1996). Multicultural teaching concerns: New dimensions in the area of teacher concerns research? The Journal of Educational Research, 89, 371-379.
32. McDonald, M. (2002). Perceived role of diploma examinations in Alberta, Canada. The Journal of Educational Research, 96, 21-36.
33. McMillan, J. H., Myran, S., & Workman, D. (2002). Elementary teachers’ classroom and grading practices. The Journal of Educational Research, 95, 203-213.
34. Meijer, P. C. (2001). Similarities and differences in teachers’ practical knowledge about teaching reading comprehension. The Journal of Educational Research, 94, 171-184.
35. Mulaik, S. (1976). Comments on the measurement of factorial indeterminacy. Psychometrika, 32, 381-401.
36. Mullen, F. (1939). Factors in the growth of girls seven to seventeen years of age. Unpublished doctoral dissertation, University of Chicago.
37. O'Connor, B. P. (2000). SPSS, SAS, and MATLAB programs for determining the number of components using parallel analysis and Velicer's MAP test. Behavior Research Methods, Instruments, & Computers, 32, 396-402.
38. O'Connor, B. P. (n.d.). SPSS, SAS, and MATLAB programs for determining the number of components using parallel analysis and Velicer's MAP test. Retrieved April 16, 2003, from http://flash.lakeheadu.ca/~boconno2/ nfactors.html
39. O’Neil, H. F., & Abedi, J. (1996). Reliability and validity of a state metacognitive inventory: Potential for alternate assessment. The Journal of Educational Research, 89, 234-245.
40. Pearson, C. P., & Carey, L. M. (1995). The academic motivation profile for undergraduate student use in evaluating college courses. The Journal of Educational Research, 88, 220-227.
41. Pearson, L. C., & Hall, B. W. (1993). Initial construct validation of the teaching autonomy scale. The Journal of Educational Research, 86, 172-178.
42. Podell, D., & Soodak, L. (1993). Teacher efficacy and bias in special education referrals. The Journal of Educational Research, 86, 247-253.
43. Preacher, K. J., & MacCallum, R. C. (2003). Repairing Tom Swift’s electric factor analysis machine. Understanding Statistics, 2(1), 13-43.
44. Roberts, G., & Samuels, M. (1993). Handwriting remediation: A comparison of computer based and traditional approaches. The Journal of Educational Research, 87, 118-125.
45. Rush, S., & Vitale, P. (1994). Analysis for determining factors that place elementary students at risk. The Journal of Educational Research, 87, 325-333.
46. Schommer-Aikins, M., Mau, W., & Brookhart, S. (2000). Understanding middle students’ beliefs about knowledge and learning using a multidimensional scale. The Journal of Educational Research, 94, 120-127.
47. Schraw, G., & Aplin, B. (1998). Teacher preferences for mastery-oriented students. The Journal of Educational Research, 91, 215-221.
48. Smith, K. E. (1993). Development of the primary teacher questionnaire. The Journal of Educational Research, 81, 23-29.
49. Spearman, C. (1904). General intelligence objectively determined and measured. American Journal of Psychology, 15, 201-293.
50. Spearman, C. (1927). Abilities of man. New York: McMillan.
51. Spearman, C. (1933). The uniqueness of g. Journal of Educational Psychology, 24, 106-108.
52. Steiger, J. (1990). Some additional thoughts on components, factors and factor indeterminacy. Multivariate Behavioral Research, 25(1), 41-45.
53. Steiger, J., & Shöenemann, P. (1978). A history of factor indeterminacy. In S. Shye (Ed.), Theory construction and data analysis in the social sciences. San Francisco: Jossey-Bass.
54. Stevens, J. (1996). Applied multivariate statistics for the social sciences, (3rd ed.). Mahwah, NJ: Erlbaum.
55. Tatar, M. (1998). Extent and source of parents’ school-related information. The Journal of Educational Research, 92, 101-106.
56. Tatar, M., & Emmanuel, G. (2001). Teachers’ perceptions of their students’ gender roles. The Journal of Educational Research, 94, 215-224.
57. Thompson, B., & Daniel, L. G. (1996). Factor analytic evidence for the construct validity of scores: A historical overview and some guidelines. Journal of Educational and Psychological Measurement, 56(2), 197-208.
58. Thurstone, L. L. (1935). Vectors of the mind. Chicago: University of Chicago Press.
59. Thurstone, L. L. (1947). Multiple factor analysis. Chicago: University of Chicago Press.
60. Torrence, E. P. (1962). Guiding creative talent. Englewood Cliffs, NJ: Prentice-Hall.
61. Tyree, A. K. (1996). Conceptualizing and measuring commitment to high school teaching. The Journal of Educational Research, 89, 295-304.
62. Velicer, W. F., & Jackson, D. N. (1990). Component analysis versus common factor analysis: Some issues in selecting an appropriate procedure. Multivariate Behavioral Research, 25, 1-28.
63. Zwick, W. R., & Velicer, W. F. (1986). Comparison of five rules for determining the number of components to retain. Psychological Bulletin, 99, 432-442.