Introductory And Intermediate Growth Models - Mplus

More documents

Recommendations

Info

References (Continued)Ferrer, E. & McArdle, J.J. (2004). Alternative structural models formultivariate longitudinal data analysis. Structural Equation Modeling, 10,493-524.Fitzmaurice, G., Davidian, M., Verbeke, G. & Molenberghs, G.(2008). Longitudinal Data Analysis. Chapman & Hall/CRC Press.Klein, A. & Moosbrugger, H. (2000). Maximum likelihood estimation oflatent interaction effects with the LMS method. Psychometrika, 65, 457-474.Khoo, S.T. & Muthén, B. (2000). Longitudinal data on families: Growthmodeling alternatives. In Multivariate applications in substance useresearch, J. Rose, L. Chassin, C. Presson & J. Sherman (eds), Hillsdale,N.J.: Erlbaum, pp. 43-78.Miyazaki, Y. & Raudenbush, S.W. (2000). A test for linkage of multiplecohorts from an accelerated longitudinal design. Psychological Methods, 5,44-63.Moerbeek, M., Breukelen, G.J.P. & Berger, M.P.F. (2000). Design issues forexperiments in multilevel populations. Journal of Educational andBehavioral Statistics, 25, 271-284.215References (Continued)Muthén, B. (1996). Growth modeling with binary responses. In A.V. Eye & C.Clogg (eds), Categorical variables in developmental research: methods ofanalysis (pp. 37-54). San Diego, CA: Academic Press.Muthén, B. (1997). Latent variable modeling with longitudinal and multileveldata. In A. Raftery (ed), Sociological Methodology (pp. 453-380). Boston:Blackwell Publishers.Muthén, B. (2004). Latent variable analysis: Growth mixture modeling andrelated techniques for longitudinal data. In D. Kaplan (ed.), Handbook ofquantitative methodology for the social sciences (pp. 345-368). NewburyPark, CA: Sage Publications.Muthén, B. & Curran, P. (1997). General longitudinal modeling of individualdifferences in experimental designs: A latent variable framework foranalysis and power estimation. Psychological Methods, 2, 371-402.Muthén, B. & Muthén, L. (2000). The development of heavy drinking andalcohol-related problems from ages 18 to 37 in a U.S. national sample.Journal of Studies on Alcohol, 61, 290-300.216108
References (Continued)Muthén, L.K. and Muthén, B. O. (2002). How to use a Monte Carlo study todecide on sample size and determine power. Structural Equation Modeling,4, 599-620.Olsen, M.K. & Schafer, J.L. (2001). A two-part random effects model forsemicontinuous longitudinal data. Journal of the American StatisticalAssociation, 96, 730-745.Raudenbush, S.W. (1997). Statistical analysis and optimal design for clusterrandomized trials. Psychological Methods, 2, 173-185.Raudenbush, S.W. & Liu, X. (2000). Statistical power and optimal design formultisite randomized trials. Psychological Methods, 5, 199-213.Roeder, K., Lynch, K.G., & Nagin, D.S. (1999). Modeling uncertainty in latentclass membership: A case study in criminology. Journal of the AmericanStatistical Association, 94, 766-776.Satorra, A. & Saris, W. (1985). Power of the likelihood ratio test in covariancestructure analysis. Psychometrika, 51, 83-90.217109
Page 1 and 2:
Mplus Short CoursesTopic 3Growth Mo
Page 3 and 4:
Statistical Analysis With Latent Va
Page 5 and 6:
General Latent Variable Modeling Fr
Page 7 and 8:
Overview Of Mplus Courses (Continue
Page 9 and 10:
Mean CurveMath Achievement40 50 60
Page 11 and 12:
Loneliness In TwinsAge range: 13-85
Page 13 and 14:
Individual Development Over Time(1)
Page 15 and 16:
Comparison Summary Of Multilevel,Mi
Page 17 and 18:
Random Effects: SEM AndMultilevel M
Page 19 and 20:
Multilevel Modeling In ALatent Vari
Page 21 and 22:
Individual Development Over Timeyi
Page 23 and 24:
Interpretation Of The Linear Growth
Page 25 and 26:
Latent Growth Model ParametersFor F
Page 27 and 28:
Growth Model Covariancesy ti= η 0i
Page 29 and 30:
CFA Modeling Estimation And Testing
Page 31 and 32:
Alternative Growth Model Parameteri
Page 33 and 34:
LSAY Math AchievementMean CurveMath
Page 35 and 36:
TITLE:DATA:VARIABLE:MODEL:Input For
Page 37 and 38:
Output Excerpts LSAY Linear GrowthM
Page 39 and 40:
Output Excerpts LSAY Linear Growth
Page 41 and 42:
Output Excerpts LSAY:Adding Correla
Page 43 and 44:
Time-Invariant AndTime-Varying Cova
Page 45 and 46:
Output Excerpts LSAY Growth ModelWi
Page 47 and 48:
Output Excerpts LSAY Growth ModelWi
Page 50 and 51:
Centering• Centering determines t
Page 52 and 53:
Further Readings On Introductory Gr
Page 54 and 55:
Growth Model With Free Time Scores1
Page 56 and 57:
Input Excerpts For LSAYLinear Growt
Page 58 and 59: Quadratic growth modelSpecifying Ti
Page 60 and 61: Piecewise Growth Modeling• Can be
Page 62 and 63: Output Excerpts LSAY Piecewise Grow
Page 64 and 65: Growth Modeling In Multilevel Terms
Page 66 and 67: Output Excerpts For Growth Model Wi
Page 68 and 69: Maximum-Likelihood AlternativesNote
Page 70 and 71: Output Excerpts Model M1TESTS OF MO
Page 72 and 73: 72143Output Excerpts Model M1 (Cont
Page 74 and 75: Output Excerpts Model M1 (Continued
Page 76 and 77: Input Excerpt Model M3ANALYSIS:TYPE
Page 78 and 79: Time-Varying CovariatesRepresenting
Page 80 and 81: Regressions Among Random Effects159
Page 82 and 83: Output Excerpts Growth Model With A
Page 84 and 85: Interpreting The Effect Of The Inte
Page 86 and 87: Multiple Processes• Parallel proc
Page 88 and 89: math7 math8 math9math10imsmmothedia
Page 90 and 91: Output Excerpts LSAY ParallelProces
Page 92 and 93: Categorical Outcomes: Logit And Pro
Page 94 and 95: Logistic Regression And Log Odds (C
Page 96 and 97: Growth Models With Categorical Outc
Page 98 and 99: Input For Schizophrenia Data Growth
Page 100 and 101: Output Excerpts Schizophrenia Data
Page 106 and 107: References (Continued)Jennrich, R.I
show all

Introductory And Intermediate Growth Models - Mplus

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?