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Volumn 12, Issue 2, 2005, Pages 215-231

The biasing effects of unmodeled ARMA time series processes on latent growth curve model estimates

Author keywords

[No Author keywords available]

Indexed keywords

BIASING EFFECTS; LATENT GROWTH CURVE; MOVING AVERAGE (MA); TIME SERIES PROCESSES;

EID: 18444404054     PISSN: 10705511     EISSN: None     Source Type: Journal    
DOI: 10.1207/s15328007sem1202_2     Document Type: Article
Times cited : (42)

References (30)
  • 1
    • 10644251507 scopus 로고    scopus 로고
    • Cigarette use and drug use progression: Growth trajectory and lagged effect hypotheses
    • D. Kandel (Ed.). New York: Cambridge University Press
    • Bentler, P., Newcomb, M., & Zimmerman, M. (2002). Cigarette use and drug use progression: Growth trajectory and lagged effect hypotheses. In D. Kandel (Ed.), Stages and pathways of drug involvement: Examining the gateway hypothesis (pp. 223-252). New York: Cambridge University Press.
    • (2002) Stages and Pathways of Drug Involvement: Examining the Gateway Hypothesis , pp. 223-252
    • Bentler, P.1    Newcomb, M.2    Zimmerman, M.3
  • 2
    • 1042263961 scopus 로고    scopus 로고
    • Autoregressive latent trajectory (ALT) models: A synthesis of two traditions
    • Bollen, K. A., & Curran, P. J. (2004). Autoregressive latent trajectory (ALT) models: A synthesis of two traditions. Sociological Methods & Research, 32, 336-383.
    • (2004) Sociological Methods & Research , vol.32 , pp. 336-383
    • Bollen, K.A.1    Curran, P.J.2
  • 4
    • 0001886394 scopus 로고    scopus 로고
    • A latent curve framework for the study of developmental trajectories in adolescent substance use
    • J. S. Rose, L. Chassin, C. C. Presson, & S. J. Sherman (Eds.). Mahwah, NJ: Lawrence Erlbaum Associates, Inc.
    • Curran, P. J. (2000). A latent curve framework for the study of developmental trajectories in adolescent substance use. In J. S. Rose, L. Chassin, C. C. Presson, & S. J. Sherman (Eds.), Multivariate applications in substance use research: New methods for new questions (pp. 1-42). Mahwah, NJ: Lawrence Erlbaum Associates, Inc.
    • (2000) Multivariate Applications in Substance Use Research: New Methods for New Questions , pp. 1-42
    • Curran, P.J.1
  • 5
    • 0004361563 scopus 로고    scopus 로고
    • The best of both worlds: Combining autoregressive and latent curve models
    • L. Collins & A. Sayer (Eds.). Washington, DC: American Psychological Association
    • Curran, P., & Bollen, K. (2001). The best of both worlds: Combining autoregressive and latent curve models. In L. Collins & A. Sayer (Eds.), New methods for the analysis of change: Decade of behavior (pp. 107-135). Washington, DC: American Psychological Association.
    • (2001) New Methods for the Analysis of Change: Decade of Behavior , pp. 107-135
    • Curran, P.1    Bollen, K.2
  • 7
    • 18444408338 scopus 로고    scopus 로고
    • Power of latent growth modeling for detecting group differences in linear growth trajectory parameters
    • Fan, X. (2003). Power of latent growth modeling for detecting group differences in linear growth trajectory parameters. Structural Equation Modeling, 10, 380-400.
    • (2003) Structural Equation Modeling , vol.10 , pp. 380-400
    • Fan, X.1
  • 10
    • 0002903027 scopus 로고
    • Statistical estimation of structural models in longitudinal-developmental investigations
    • J. R. Nesselroade & P. B. Baltes (Eds.). New York: Academic
    • Jöreskog, K. G. (1979). Statistical estimation of structural models in longitudinal-developmental investigations. In J. R. Nesselroade & P. B. Baltes (Eds.), Longitudinal research in the study of behavior and development (pp. 303-352). New York: Academic.
    • (1979) Longitudinal Research in the Study of Behavior and Development , pp. 303-352
    • Jöreskog, K.G.1
  • 11
    • 0039073155 scopus 로고
    • Statistical models for longitudinal studies
    • F. Schulsinger, S. A. Mednick, & J. Knop (Eds.). Hingham, MA: Nijhoff
    • Jöreskog, K. G. (1981). Statistical models for longitudinal studies. In F. Schulsinger, S. A. Mednick, & J. Knop (Eds.), Longitudinal research: Methods and uses in behavioral science (pp. 118-124). Hingham, MA: Nijhoff.
    • (1981) Longitudinal Research: Methods and Uses in Behavioral Science , pp. 118-124
    • Jöreskog, K.G.1
  • 12
    • 0003228293 scopus 로고
    • Statistical models and methods for analysis of longitudinal data
    • D. J. Aigner & A. S. Goldberger (Eds.). New York: North-Holland
    • Jöreskog, K. G., & Sörbom, D. (1977). Statistical models and methods for analysis of longitudinal data. In D. J. Aigner & A. S. Goldberger (Eds.), Latent variables in socio-economic variables (pp. 187-204). New York: North-Holland.
    • (1977) Latent Variables in Socio-economic Variables , pp. 187-204
    • Jöreskog, K.G.1    Sörbom, D.2
  • 14
    • 0347488003 scopus 로고    scopus 로고
    • Specification searches in structural equation modeling with a genetic algorithm
    • G. A. Marcoulides & R. E. Schumacker(Eds.). Mahwah, NJ: Lawrence Erlbaum Associates, Inc.
    • Marcoulides, G. A., & Drezner, Z. (2001). Specification searches in structural equation modeling with a genetic algorithm. In G. A. Marcoulides & R. E. Schumacker(Eds.), New developments and techniques in structural equation modeling (pp. 247-268). Mahwah, NJ: Lawrence Erlbaum Associates, Inc.
    • (2001) New Developments and Techniques in Structural Equation Modeling , pp. 247-268
    • Marcoulides, G.A.1    Drezner, Z.2
  • 16
    • 0000739285 scopus 로고
    • Stability of individual differences in multiwave panel studies: Comparison of simplex models and one factor models
    • Marsh, H. W. (1993). Stability of individual differences in multiwave panel studies: Comparison of simplex models and one factor models. Journal of Educational Measurement, 30, 157-183.
    • (1993) Journal of Educational Measurement , vol.30 , pp. 157-183
    • Marsh, H.W.1
  • 17
    • 0000155226 scopus 로고
    • Longitudinal confirmatory factor analysis: Common, time-specific, item-specific, and residual-error components of variance
    • Marsh, H. W., & Grayson D. (1994a). Longitudinal confirmatory factor analysis: Common, time-specific, item-specific, and residual-error components of variance. Structural Equation Modeling, 1, 116-145.
    • (1994) Structural Equation Modeling , vol.1 , pp. 116-145
    • Marsh, H.W.1    Grayson, D.2
  • 18
    • 0000184318 scopus 로고
    • Longitudinal stability of latent means and individual differences: A unified approach
    • Marsh, H. W., & Grayson D. (1994b). Longitudinal stability of latent means and individual differences: A unified approach. Structural Equation Modeling, 1, 317-359.
    • (1994) Structural Equation Modeling , vol.1 , pp. 317-359
    • Marsh, H.W.1    Grayson, D.2
  • 19
    • 0002681375 scopus 로고    scopus 로고
    • An introduction to latent growth models for developmental data analysis
    • T. D. Little, K. U. Schnabel, & J. Baumert (Eds.). Mahwah, NJ: Lawrence Erlbaum Associates, Inc.
    • McArdle, J. J., & Bell, R. Q. (2000). An introduction to latent growth models for developmental data analysis. In T. D. Little, K. U. Schnabel, & J. Baumert (Eds.), Modeling longitudinal and multilevel data (pp. 69-108). Mahwah, NJ: Lawrence Erlbaum Associates, Inc.
    • (2000) Modeling Longitudinal and Multilevel Data , pp. 69-108
    • McArdle, J.J.1    Bell, R.Q.2
  • 20
    • 0001994604 scopus 로고
    • Causal models in longitudinal research: Rationale, formulation, and interpretation
    • J. R. Nesselroade & P. B. Baltes (Eds.). New York: Academic
    • Rogosa, D. (1979). Causal models in longitudinal research: Rationale, formulation, and interpretation. In J. R. Nesselroade & P. B. Baltes (Eds.), Longitudinal research in the study of behavior and development (pp. 263-302). New York: Academic.
    • (1979) Longitudinal Research in the Study of Behavior and Development , pp. 263-302
    • Rogosa, D.1
  • 21
    • 0002256046 scopus 로고    scopus 로고
    • The covariance between level and shape in the latent growth curve model: An explanation based on a simplified LISREL model
    • Rovine, M. J., & Molenaar, P. C. M. (1998a). The covariance between level and shape in the latent growth curve model: An explanation based on a simplified LISREL model. Methods of Psychological Research, 3, 95-107.
    • (1998) Methods of Psychological Research , vol.3 , pp. 95-107
    • Rovine, M.J.1    Molenaar, P.C.M.2
  • 22
    • 0004419453 scopus 로고    scopus 로고
    • A LISREL model for the analysis of repeated measures with a patterned covariance matrix
    • Rovine, M. J., & Molenaar, P. C. M. (1998b). A LISREL model for the analysis of repeated measures with a patterned covariance matrix. Structural Equation Modeling, 5, 318-343.
    • (1998) Structural Equation Modeling , vol.5 , pp. 318-343
    • Rovine, M.J.1    Molenaar, P.C.M.2
  • 23
    • 0003597577 scopus 로고    scopus 로고
    • Cary, NC: Author
    • SAS Institute. (1998) SAS/STAT user's guide. Cary, NC: Author.
    • (1998) SAS/STAT User's Guide
  • 24
    • 0039073160 scopus 로고    scopus 로고
    • Modelling causal error structures in longitudinal data
    • (University Microfilms No. AAG9729271)
    • Sivo, S. A. (1997). Modelling causal error structures in longitudinal data. Dissertation Abstracts International, 58, 04B. (University Microfilms No. AAG9729271)
    • (1997) Dissertation Abstracts International , vol.58
    • Sivo, S.A.1
  • 25
    • 18444363865 scopus 로고    scopus 로고
    • Multiple indicator stationary time series models
    • Sivo, S. A. (2001). Multiple indicator stationary time series models. Structural Equation Modeling, 8, 599-612.
    • (2001) Structural Equation Modeling , vol.8 , pp. 599-612
    • Sivo, S.A.1
  • 26
    • 18444392350 scopus 로고    scopus 로고
    • Temporal cross-lagged effects between subjective norms and students' attitudes regarding the use of technology
    • Sivo, S. A., Pan, C. C., & Brophy, J. (2004). Temporal cross-lagged effects between subjective norms and students' attitudes regarding the use of technology. Journal of Educational Media and Library Sciences, 42, 63-74.
    • (2004) Journal of Educational Media and Library Sciences , vol.42 , pp. 63-74
    • Sivo, S.A.1    Pan, C.C.2    Brophy, J.3
  • 27
    • 0032382872 scopus 로고    scopus 로고
    • Is parsimony always desirable? Identifying the correct model for a longitudinal panel data set
    • Sivo, S. A., & Willson, V. L. (1998). Is parsimony always desirable? Identifying the correct model for a longitudinal panel data set. Journal of Experimental Education, 66, 249-255.
    • (1998) Journal of Experimental Education , vol.66 , pp. 249-255
    • Sivo, S.A.1    Willson, V.L.2
  • 28
    • 0038811450 scopus 로고    scopus 로고
    • Modelling causal error structures in longitudinal panel data: A Monte Carlo study
    • Sivo, S. A., & Willson, V. L. (2000). Modelling causal error structures in longitudinal panel data: A Monte Carlo study. Structural Equation Modeling, 7, 174-205.
    • (2000) Structural Equation Modeling , vol.7 , pp. 174-205
    • Sivo, S.A.1    Willson, V.L.2
  • 29
    • 0344237786 scopus 로고    scopus 로고
    • Time dependence of growth parameters in latent growth curve models with time invariant covariates
    • Stoel, R. D., & van den Wittenboer, G. (2003). Time dependence of growth parameters in latent growth curve models with time invariant covariates. Methods of Psychological Research, 8, 21-41.
    • (2003) Methods of Psychological Research , vol.8 , pp. 21-41
    • Stoel, R.D.1    Van Den Wittenboer, G.2
  • 30
    • 9144273200 scopus 로고    scopus 로고
    • Assessing the effect of model misspecification on parameter estimates in structural equation models
    • R. M. Stolzenberg (Ed.). Maiden, MA: Blackwell
    • Yuan, K., Marshall, L. L., & Bentler, P. M. (2003). Assessing the effect of model misspecification on parameter estimates in structural equation models. In R. M. Stolzenberg (Ed.), Sociological methodology (Vol. 33, pp. 241-265). Maiden, MA: Blackwell.
    • (2003) Sociological Methodology , vol.33 , pp. 241-265
    • Yuan, K.1    Marshall, L.L.2    Bentler, P.M.3


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