Mplus Users Guide v6.. - Muthén & Muthén

Jennrich, R.I. (1974). Simplified formulae for standard errors in maximum-likelihood factoranalysis. The British Journal of Mathematical and Statistical Psychology, 27, 122-131.Jennrich, R.I. (2007). Rotation methods, algorithms, and standard errors. In R. Cudeck & R.C.MacCallum (eds.). Factor analysis at 100. Historical developments and future directions (pp.315-335). Mahwah, New Jersey: Lawrence Erlbaum Associates, Inc.Jennrich, R.I. & Sampson, P.F. (1966). Rotation for simple loadings. Psychometrika, 31, 313-323.Johnston, J. (1984). Econometric methods. Third edition. New York: McGraw-Hill.Joreskog, K.G. & Sorbom, D. (1979). Advances in factor analysis and structural equationmodels. Cambridge, MA: Abt Books.Kaplan, D. (2008). An overview of Markov chain methods for the study of stage-sequentialdevelopmental processes. Developmental Psychology, 44, 457-467.Kenward, M.G. & Molenberghs, G. (1998). Likelihood based frequentist inference when data aremissing at random. Statistical Science, 13, 236-247.Klein, A. & Moosbrugger, H. (2000). Maximum likelihood estimation of latent interactioneffects with the LMS method. Psychometrika, 65, 457-474.Klein J.P. & Moeschberger, M.L. (1997). Survival analysis: Techniques for censored andtruncated data. New York: Springer.Korn, E.L. & Graubard, B.I. (1999). Analysis of health surveys. New York: John Wiley & Sons.Kreuter, F. & Muthen, B. (2008). Analyzing criminal trajectory profiles: Bridging multilevel andgroup-based approaches using growth mixture modeling. Journal of Quantitative Criminology,24, 1-31.Langeheine, R. & van de Pol, F. (2002). Latent Markov chains. In J.A. Hagenaars & A.L.McCutcheon (eds.), Applied latent class analysis (pp. 304-341). Cambridge, UK: CambridgeUniversity Press.Larsen, K. (2004). Joint analysis of time-to-event and multiple binary indicators of latent classes.Biometrics 60, 85-92.731