Measuring how people view biomedical research: Reliability and validity analysis of the Research Attitudes Questionnaire

Journal of Empirical Research on Human Research Ethics

Volumn 6, Issue 1, 2011, Pages 63-68

  Rubright, Jonathan D ^a   Cary, Mark S ^b   Karlawish, Jason H ^b   Kim, Scott Y H ^c  

^a UNIVERSITY OF DELAWARE   (United States)

^b UNIVERSITY OF PENNSYLVANIA   (United States)

^c UNIVERSITY OF MICHIGAN   (United States)

Author keywords

Confirmatory factor analysis; Exploratory factor analysis; Psychometrics; Research attitudes; Research ethics; Research participation

Indexed keywords

AGED; ARTICLE; ATTITUDE; FEMALE; HUMAN; MALE; MEDICAL RESEARCH; MIDDLE AGED; PSYCHOMETRY; QUESTIONNAIRE; REPRODUCIBILITY;

AGED; ATTITUDE; BIOMEDICAL RESEARCH; FEMALE; HUMANS; MALE; MIDDLE AGED; PSYCHOMETRICS; QUESTIONNAIRES; REPRODUCIBILITY OF RESULTS;

EID: 79954512388     PISSN: 15562646     EISSN: 15562654     Source Type: Journal    
DOI: 10.1525/jer.2011.6.1.63     Document Type: Article

References (30)

1. Allen, M. & Yen, W. (1979). Introduction to measurement theory. Monterey, CA: Brooks/Cole.
2. Bentler, P. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107, 238-246.
3. Briggs, N. & MacCallum, R. (2003). Recovery of weak common factors by maximum likelihood and ordinary least squares estimation. Multivariate Behavioral Research, 38(1), 25-56.
4. Browne, M. (2001). An overview of analytic rotation in exploratory factor analysis. Multivariate Behavioral Research, 36(1), 111-150.
5. Browne, M. & 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.
6. Cattell, R. (1966). The scree test for the number of factors. Multivariate Behavioral Research, 1(2), 245-276.
7. Cronbach, L. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297-334.
8. Cudeck, R. (2000). Exploratory factor analysis. In H. Tinsley & S. Brown (Eds.), Handbook of applied multivariate statistics and mathematical modeling (pp. 265-296). New York: Academic Press.
9. Fabrigar, L., Wegener, D., MacCallum, R., & Strahan, E. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4, 272-299.
10. Glorfeld, L. (1995). An improvement on Horn's parallel analysis methodology for selecting the correct number of factors to retain. Educational and Psychological Measurement, 55, 377-393.
11. Goldberg, L. & Velicer, W. (2006). Principles of exploratory factor analysis. In S. Strack (Ed.), Differentiating normal and abnormal personality (pp. 209-337). New York: Springer.
12. Gorsuch, R. (1983). Factor analysis (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum Associates.
13. Gorsuch, R. (2003). Factor analysis. In J. Shinka & F. Velicer (Eds.), Handbook of psychology: Vol. 2, Research methods in psychology (pp. 143-164). Hoboken, NJ: John Wiley.
14. Horn, J. (1965). A rationale and test for the number of factors in factor analysis. Psychometrika, 30, 179-185.
15. Joreskog, K. & Sorbom, D. (2009). LISREL (Version 8.80). Chicago, IL: Scientific Software International.
16. Kaiser, H. (1960). The application of electronic computers to factor analysis. Educational and Psychological Measurement, 20, 141-151.
17. Kaiser, H. (1974). An index of factorial simplicity. Psychometrika, 39, 31-36.
18. Karlawish, J., Cary, M., Rubright, J., & TenHave, T. (2008). How redesigning AD clinical trials might increase study partners' willingness to participate. Neurology, 71(23), 1883-1888.
19. Karlawish, J., Casarett, D., Klocinski, J., & Sankar, P. (2001). How do AD patients and their caregivers decide whether to enroll in a clinical trial? Neurology, 56(6), 789-792. (Pubitemid 32240104)
20. Karlawish, J., Rubright, J., Casarett, D., Cary, M., TenHave, T., & Sankar, P. (2009). Older adults' attitudes toward noncompetent subjects participating in Alzheimers research. American Journal of Psychiatry, 166(2), 182-188.
21. Kim, S., Kim, H., McCallum, C., & Tariot, P. (2005). What do people at risk for Alzheimer disease think about surrogate consent for research? Neurology, 65(9), 1395-1401. (Pubitemid 41552768)
22. Kline, P. (1994). An easy guide to factor analysis. New York: Routledge.
23. Muroff, J., Hoerauf, S., & Kim, S. (2006). Is psychiatric research stigmatized? An experimental survey of the public. Schizophrenia Bulletin, 32(1), 129-136. (Pubitemid 43063827)
24. SAS (Version 9.1). Cary, NC: SAS Institute, Inc.
25. Sugarman, J., Kass, N., Goodman, S., Perentesis, P., Fernandes, P., & Faden, R. (1998). What patients say about medical research. IRB: A Review of Human Subjects Research, 20(4), 1-7. (Pubitemid 128702851)
26. Tataryn, D., Wood, J., & Gorsuch, R. (1999). Setting the value of k in promax: A Monte Carlo study. Educational and Psychological Measurement, 59, 384-391.
27. Thorndike, R. (1982). Applied Psychometrics. Boston: Houghton Mifflin.
28. Velicer, W. (1976). Determining the number of components from the matrix of partial correlations. Psychometrika, 41, 321-327.
29. Velicer, W., Eaton, C., & Fava, J. (2000). Construct explication through factor or component analysis: A review and evaluation of alternative procedures for determining the number of factors or components. In R. Goffin & E. Helms (Eds.), Problems and solutions in human assessment: Honoring Douglas N. Jackson at seventy (pp. 41-71). New York: Guilford.
30. Zwick, W. & Velicer, W. (1986). Comparison of five rules for determining the number of components to retain. Psychological Bulletin, 99, 432-442.