메뉴 건너뛰기




Volumn 18, Issue 3, 2011, Pages 430-448

The effects of autocorrelation on the curve-of-factors growth model

Author keywords

Autoregression; Autoregressive latent trajectory model; Curve of factors model; Latent growth curve model; Structural equation modeling

Indexed keywords


EID: 79960671848     PISSN: 10705511     EISSN: None     Source Type: Journal    
DOI: 10.1080/10705511.2011.582399     Document Type: Article
Times cited : (15)

References (42)
  • 1
    • 0031509948 scopus 로고    scopus 로고
    • Matthew effects in reading: A comparison of latent growth curve models with structured means
    • Bast, J., & Reitsma, P. (1997). Matthew effects in reading: A comparison of latent growth curve models with structured means. Multivariate Behavioral Research, 32(2), 135-167.
    • (1997) Multivariate Behavioral Research , vol.32 , Issue.2 , pp. 135-167
    • Bast, J.1    Reitsma, P.2
  • 4
    • 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(3), 336-383.
    • (2004) Sociological Methods & Research , vol.32 , Issue.3 , pp. 336-383
    • Bollen, K.A.1    Curran, P.J.2
  • 5
    • 0001342316 scopus 로고
    • Nonconvergence, improper solutions, and starting values in Lisrel maximum likelihood estimation
    • Boomsma, A. (1985). Nonconvergence, improper solutions, and starting values in Lisrel maximum likelihood estimation. Psychometrika, 50(2), 229-242.
    • (1985) Psychometrika , vol.50 , Issue.2 , pp. 229-242
    • Boomsma, A.1
  • 10
    • 0001886394 scopus 로고    scopus 로고
    • A latent curve framework for studying developmental trajectories of adolescent substance abuse
    • In J. Rose, L. Chassin, C. Presson, & J. Sherman (Eds.), Hillsdale, NJ: Lawrence Erlbaum Associates
    • Curran, P. J. (2000). A latent curve framework for studying developmental trajectories of adolescent substance abuse. In J. Rose, L. Chassin, C. Presson, & J. Sherman (Eds.), Multivariate applications in substance use research (pp. 1-42). Hillsdale, NJ: Lawrence Erlbaum Associates.
    • (2000) Multivariate applications in substance use research , pp. 1-42
    • Curran, P.J.1
  • 11
    • 0004361563 scopus 로고    scopus 로고
    • The best of both worlds: Combining autoregressive and latent curve models
    • In L. M. Collins & A. G. Sayer (Eds.), Washington, DC: American Psychological Association
    • Curran, P. J., & Bollen, K. A. (2001). The best of both worlds: Combining autoregressive and latent curve models. In L. M. Collins & A. G. Sayer (Eds.), New methods for the analysis of change (pp. 107-135). Washington, DC: American Psychological Association.
    • (2001) New methods for the analysis of change , pp. 107-135
    • Curran, P.J.1    Bollen, K.A.2
  • 13
    • 0036402738 scopus 로고    scopus 로고
    • Effects of misspecifying the first-level error structure in two-level models of change
    • Ferron, J., Dailey, R., & Yi, Q. (2002). Effects of misspecifying the first-level error structure in two-level models of change. Multivariate Behavioral Research, 37, 379-403.
    • (2002) Multivariate Behavioral Research , vol.37 , pp. 379-403
    • Ferron, J.1    Dailey, R.2    Yi, Q.3
  • 14
    • 0001956548 scopus 로고
    • A new approach to factor analysis: The radix
    • In P. F. Lazarfeld (Ed.), New York, NY: Columbia University Press
    • Guttman, L. (1954). A new approach to factor analysis: The radix. In P. F. Lazarfeld (Ed.), Mathematical thinking in the social sciences (pp. 258-348). New York, NY: Columbia University Press.
    • (1954) Mathematical thinking in the social sciences , pp. 258-348
    • Guttman, L.1
  • 15
    • 13444267778 scopus 로고    scopus 로고
    • Conditions for the equivalence of the autoregressive latent trajectory model and a latent growth model with autoregressive disturbances
    • Hamaker, E. (2005). Conditions for the equivalence of the autoregressive latent trajectory model and a latent growth model with autoregressive disturbances. Sociological Methods & Research, 33, 404-416.
    • (2005) Sociological Methods & Research , vol.33 , pp. 404-416
    • Hamaker, E.1
  • 17
    • 0345100019 scopus 로고    scopus 로고
    • An illustration of second-order latent growth models
    • Hancock, G. R., Kuo, W., & Lawrence, F. R. (2001). An illustration of second-order latent growth models. Structural Equation Modeling, 8(3), 470-489.
    • (2001) Structural Equation Modeling , vol.8 , Issue.3 , pp. 470-489
    • Hancock, G.R.1    Kuo, W.2    Lawrence, F.R.3
  • 18
    • 84954900801 scopus 로고
    • A survey regarding the reporting of simulation studies
    • Hauck, W. W., & Anderson, S. (1984). A survey regarding the reporting of simulation studies. American Statistician, 38, 214-216.
    • (1984) American Statistician , vol.38 , pp. 214-216
    • Hauck, W.W.1    Anderson, S.2
  • 19
    • 0032330969 scopus 로고    scopus 로고
    • Robustness studies in covariance structure modeling
    • Hoogland, J. J., & Boomsma, A. (1998). Robustness studies in covariance structure modeling. Sociological Methods and Research, 26(3), 329-367.
    • (1998) Sociological Methods and Research , vol.26 , Issue.3 , pp. 329-367
    • Hoogland, J.J.1    Boomsma, A.2
  • 20
    • 67650706330 scopus 로고    scopus 로고
    • Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives
    • Hu, L.-T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1-55.
    • (1999) Structural Equation Modeling , vol.6 , pp. 1-55
    • Hu, L.-T.1    Bentler, P.M.2
  • 21
    • 0024674291 scopus 로고
    • On the measurement of stability in over-time data
    • Kenny, D. A., & Campbell, D. T. (1989). On the measurement of stability in over-time data. Journal of Personality, 57, 445-481.
    • (1989) Journal of Personality , vol.57 , pp. 445-481
    • Kenny, D.A.1    Campbell, D.T.2
  • 22
    • 0033175008 scopus 로고    scopus 로고
    • Multilevel mediation modeling in group-based intervention studies
    • Krull, J. L., & MacKinnon, D. P. (1999). Multilevel mediation modeling in group-based intervention studies. Evaluation Review, 23, 418-444.
    • (1999) Evaluation Review , vol.23 , pp. 418-444
    • Krull, J.L.1    McKinnon, D.P.2
  • 23
    • 36048985795 scopus 로고    scopus 로고
    • The impact of misspecifying the within-subject covariance structure in multiwave longitudinal multilevel models: A Monte Carlo study
    • Kwok, O.-M., West, S. G., & Green, S. B. (2007). The impact of misspecifying the within-subject covariance structure in multiwave longitudinal multilevel models: A Monte Carlo study. Multivariate Behavioral Research, 42, 557-592.
    • (2007) Multivariate Behavioral Research , vol.42 , pp. 557-592
    • Kwok, O.-M.1    West, S.G.2    Green, S.B.3
  • 24
    • 38049161661 scopus 로고    scopus 로고
    • A comparison of latent growth models for constructs measured by multiple items
    • Leite, W. L. (2007). A comparison of latent growth models for constructs measured by multiple items. Structural Equation Modeling, 14, 581-610.
    • (2007) Structural Equation Modeling , vol.14 , pp. 581-610
    • Leite, W.L.1
  • 25
    • 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
  • 26
    • 0001568978 scopus 로고
    • Dynamic but structural equation modeling of repeated measures data
    • In J. R. Nesselroade & R. B. Cattell (Eds.), New York, NY: Plenum
    • McArdle, J. J. (1988). Dynamic but structural equation modeling of repeated measures data. In J. R. Nesselroade & R. B. Cattell (Eds.), Handbook of multivariate experimental psychology (Vol. 2, pp. 561-614). New York, NY: Plenum.
    • (1988) Handbook of multivariate experimental psychology , vol.2 , pp. 561-614
    • McArdle, J.J.1
  • 27
    • 0001631719 scopus 로고
    • Patterns of change within latent variable structural equation models
    • In A. von Eye (Ed.), Boston, MA: Academic Press
    • McArdle, J. J., & Aber, M. S. (1990). Patterns of change within latent variable structural equation models. In A. von Eye (Ed.), Statistical methods in longitudinal research (Vol. I, pp. 151-224). Boston, MA: Academic Press.
    • (1990) Statistical methods in longitudinal research , vol.1 , pp. 151-224
    • McArdle, J.J.1    Aber, M.S.2
  • 28
    • 34249962132 scopus 로고
    • Latent curve analysis
    • Meredith, W., & Tisak, J. (1990). Latent curve analysis. Psychometrika, 55, 107-122.
    • (1990) Psychometrika , vol.55 , pp. 107-122
    • Meredith, W.1    Tisak, J.2
  • 29
    • 67649615956 scopus 로고    scopus 로고
    • The performance of multilevel growth curve models under an autoregressive moving average process
    • Murphy, D. L., & Pituch, K. A. (2009). The performance of multilevel growth curve models under an autoregressive moving average process. The Journal of Experimental Education, 77, 255-282.
    • (2009) The Journal of Experimental Education , vol.77 , pp. 255-282
    • Murphy, D.L.1    Pituch, K.A.2
  • 30
    • 0000983524 scopus 로고    scopus 로고
    • Measures of effect size for comparative studies: Applications, interpretations, and limitations
    • Olejnik, S., & Algina, J. (2000). Measures of effect size for comparative studies: Applications, interpretations, and limitations. Contemporary Educational Psychology, 25, 241-286.
    • (2000) Contemporary Educational Psychology , vol.25 , pp. 241-286
    • Olejnik, S.1    Algina, J.2
  • 31
    • 0002855772 scopus 로고
    • Satisfying simplex structure is simpler than it should be
    • Rogosa, D., & Willett, J. B. (1985). Satisfying simplex structure is simpler than it should be. Journal of Educational Statistics, 10, 99-107.
    • (1985) Journal of Educational Statistics , vol.10 , pp. 99-107
    • Rogosa, D.1    Willett, J.B.2
  • 32
    • 25444466928 scopus 로고    scopus 로고
    • Relating factor models for longitudinal data to quasi-simplex and NARMA models
    • Rovine, M. J., & Molenaar, P. C. M. (2005). Relating factor models for longitudinal data to quasi-simplex and NARMA models. Multivariate Behavioral Research, 40(1), 83-114.
    • (2005) Multivariate Behavioral Research , vol.40 , Issue.1 , pp. 83-114
    • Rovine, M.J.1    Molenaar, P.C.M.2
  • 34
    • 0037796957 scopus 로고    scopus 로고
    • Second-order latent growth models
    • In L. M. Collins & A. G. Sayer (Eds.), Washington, DC: American Psychological Association
    • Sayer, A. G., & Cumsille, P. E. (2001). Second-order latent growth models. In L. M. Collins & A. G. Sayer (Eds.), New methods for the analysis of change (pp. 179-200). Washington, DC: American Psychological Association.
    • (2001) New methods for the analysis of change , pp. 179-200
    • Sayer, A.G.1    Cumsille, P.E.2
  • 36
    • 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(4), 599-612.
    • (2001) Structural Equation Modeling , vol.8 , Issue.4 , pp. 599-612
    • Sivo, S.A.1
  • 37
    • 18444404054 scopus 로고    scopus 로고
    • The biasing effects of unmodeled ARMA time series processes on latent growth curve model estimates
    • Sivo, S. A., Fan, X., & Witta, L. (2005). The biasing effects of unmodeled ARMA time series processes on latent growth curve model estimates. Structural Equation Modeling, 12(2), 215-231.
    • (2005) Structural Equation Modeling , vol.12 , Issue.2 , pp. 215-231
    • Sivo, S.A.1    Fan, X.2    Witta, L.3
  • 38
    • 0038811450 scopus 로고    scopus 로고
    • Modeling causal error structures in longitudinal panel data: A Monte Carlo study
    • Sivo, S. A., & Willson, V. L. (2000). Modeling 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
  • 39
    • 0000350775 scopus 로고
    • Using latent growth curve models to study developmental processes
    • In J. M. Gottman (Ed.), Mahwah, NJ: Lawrence Erlbaum Associates
    • Stoolmiller, M. (1995). Using latent growth curve models to study developmental processes. In J. M. Gottman (Ed.), The analysis of change (pp. 103-138). Mahwah, NJ: Lawrence Erlbaum Associates.
    • (1995) The analysis of change , pp. 103-138
    • Stoolmiller, M.1
  • 40
    • 0000182580 scopus 로고
    • Descriptive and associative developmental models
    • In A. von Eye (Ed.), San Diego, CA: Academic Press
    • Tisak, J., & Meredith, W. (1990). Descriptive and associative developmental models. In A. von Eye (Ed.), Statistical methods in longitudinal research (Vol. 2, pp. 387-406). San Diego, CA: Academic Press.
    • (1990) Statistical methods in longitudinal research , vol.2 , pp. 387-406
    • Tisak, J.1    Meredith, W.2
  • 41
    • 0031531947 scopus 로고    scopus 로고
    • Fitting ARMA time series by structural equation models
    • van Buuren, S. (1997). Fitting ARMA time series by structural equation models. Psychometrika, 62, 215-236.
    • (1997) Psychometrika , vol.62 , pp. 215-236
    • van Buuren, S.1
  • 42
    • 0001980169 scopus 로고
    • Nonpositive definite matrices in structural equation modeling
    • In K. A. Bollen & J. S. Long (Eds.), Newbury Park, CA: Sage
    • Wothke, W. (1993). Nonpositive definite matrices in structural equation modeling. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 256-293). Newbury Park, CA: Sage.
    • (1993) Testing structural equation models , pp. 256-293
    • Wothke, W.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.