Estimating and testing mediation effects with censored data

Structural Equation Modeling

Volumn 18, Issue 1, 2011, Pages 18-34

  Wang, Lijuan ^a   Zhang, Zhiyong ^a  

^a UNIVERSITY OF NOTRE DAME   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 78651303174     PISSN: 10705511     EISSN: None     Source Type: Journal    
DOI: 10.1080/10705511.2011.534324     Document Type: Article

References (34)

1. Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51, 1173-1182.
2. Bollen, K. A., & Stine, R. A. (1990). Direct and indirect effects: Classical and bootstrap estimates of variability. Sciological Methodology, 20, 115-140.
3. Brandt, J. (1991). The Hopkins Verbal Learning Test: Development of a new memory test with six equivalent forms. Clinical Neuropsychologist, 5(2), 125-142.
4. Brown, R. L. (1992). Estimation problems with Type I censored response distributions in structural equation modeling. Educational and Psychological Measurement, 52, 325-336.
5. Chib, S. (1992). Bayes inference in the Tobit censored regression model. Journal of Econometrics, 51, 79-99.
6. Delis, D., Kramer, J., Kaplan, E., & Ober, B. (1987). California Verbal Learning Test: Adult version. San Antonio, TX: Psychological Corporation.
7. Efron, B. (1979). Bootstrap methods: Another look at the jackknife. The Annals of Statistics, 7(1), 1-26.
8. Efron, B. (1987). Better bootstrap confidence intervals. Journal of the American Statistical Association, 82(397), 171-185.
9. Geman, S., & Geman, D. (1984). Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images. IEEE Transactions on Pattern Analysis and Machine Intelligence, 6, 721-741.
10. Geweke, J. (1992). Evaluating the accuracy of sampling-based approaches to the calculation of posterior moments. In. O. B. J. M. Bernado, A. P. Dawid, & A. F. M. Smith (Eds.), Bayesian statistics 4 (pp. 169-193). Oxford, UK: Clarendon.
11. Judd, C. M., & Kenny, D. A. (1981a). Estimating the effects of social interventions. New York: Cambridge University Press.
12. Judd, C. M., & Kenny, D. A. (1981b). Process analysis: Estimating mediation in evaluation research. Evaluation Research, 5, 602-619.
13. Klein, J. P., & Moeschberger, M. L. (2003). Survival analysis: Techniques for censored and truncated data (2nd ed.). New York: Springer.
14. MacKinnon, D. P. (2008). Introduction to statistical mediation analysis. Mahwah, NJ: Lawrence Erlbaum Associates.
15. MacKinnon, D. P., Fairchild, A. J., & Fritz, M. S. (2007). Mediation analysis. Annual Review of Psychology, 58, 593-614.
16. MacKinnon, D. P., Lockwood, C. M., Hoffman, J. M., West, S. G., & Sheets, V. (2002). A comparison of methods to test mediation and other intervening variable effects. Psychological Methods, 7, 83-104.
17. MacKinnon, D. P., Lockwood, C. M., & Williams, J. (2004). Confidence limits for the indirect effect: Distribution of the product and resampling methods. Multivariate Behavioral Research, 39(1), 99-128.
18. Muthén, B. O. (1989). Tobit factor analysis. British Journal of Mathematical and Statistical Psychology, 42, 241-250.
19. Muthén, B. O. (1990). Moments of the censored and truncated normal distribution. British Journal of Mathematical and Statistical Psychology, 43, 131-143.
20. Plummer, M., Best, N., Cowles, K., & Vines, K. (2006). CODA: Convergence diagnosis and output analysis for MCMC. R News, 6(1), 7-11. Retrieved October 2007, from http://CRAN.R-project.org/doc/Rnews/
21. Preacher, K. J., & Hayes, A. F. (2004). SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behavior Research Methods, Instruments, & Computers, 36, 717-731.
22. Rey, A. (1964). L'examen clinique en psychologie. Paris: Presses Universitaires de France.
23. Shrout, P. E., & Bolger, N. (2002). Mediation in experimental and nonexperimental studies: New procedures and recommendations. Psychological Methods, 7, 422-445.
24. Sobel, M. E. (1982). Asymptotic confidence intervals for indirect effects in structural equation models. In S. Leinhardt (Ed.), Sociological methodology (pp. 290-312). San Francisco, CA: Jossey-Bass.
25. Tobin, J. (1958). Estimation of relationships for limited dependent variables. Econometria, 26(1), 24-36.
26. Uttl, B. (2005). Measurement of individual differences: Lessons from memory assessment in research and clinical practice. Psychological Science, 16, 460-467.
27. Wang, L., Zhang, Z., McArdle, J. J., & Salthouse, T. A. (2008). Investigating ceiling effects in longitudinal data analysis. Multivariate Behavioral Research, 43, 476-496.
28. Wechsler, D. (1945). A standardized memory scale for clinical use. Journal of Psychology, 19, 87-95.
29. Wechsler, D. (1987). Wechsler Memory Scale-revised. San Antonio, TX: Psychological Corporation.
30. Wechsler, D. (1997). Wechsler Memory Scale-III. San Antonio, TX: Psychological Corporation.
31. Willis, S. L., Tennstedt, S. L., Marsiske, M., Ball, K., Elias, J., Koepke, K. M., et al. (2006). Long-term effects of cognitive training on everyday functional outcomes in older adults. JAMA, 296, 2805-2814.
32. Wilson, B., Cockburn, J., & Baddeley, A. (1985). The Rivermead Behavioral Memory Test. Reading, UK/Gaylord, MI: Thames Valley Test Co./National Rehabilitation Services.
33. Zhang, Z., McArdle, J. J., Wang, L., & Hamagami, F. (2008). A SAS interface for Bayesian analysis with WinBUGS. Structural Equation Modeling, 15, 705-728.
34. Zhang, Z., & Wang, L. (2008). Methods for evaluating mediation effects: Rationale and comparison. In K. Shigemasu,. Okada, T. Imaizumi, & T. Hoshino (Eds.), New trends in psychometrics (pp. 595-604). Tokyo: Universal Academy Press.