메뉴 건너뛰기




Volumn 19, Issue 1, 2012, Pages 118-136

A second-order conditionally linear mixed effects model with observed and latent variable covariates

Author keywords

Conditionally linear models; Latent variables; Nonlinear mixed effects models; Second order latent growth models; Structured latent curve models

Indexed keywords

GROWTH CHARACTERISTIC; GROWTH MODELS; INDIVIDUAL DIFFERENCES; LATENT VARIABLE; LINEAR MIXED-EFFECTS MODEL; MODELING FRAMEWORKS; NONLINEAR CHANGES; NONLINEAR MIXED EFFECTS;

EID: 84865660057     PISSN: 10705511     EISSN: None     Source Type: Journal    
DOI: 10.1080/10705511.2012.634729     Document Type: Article
Times cited : (11)

References (38)
  • 2
    • 85145133837 scopus 로고    scopus 로고
    • A second-order structured latent curve model for longitudinal data
    • In K. van Montfort, H. Oud, & A. Satorra (Eds.), Mahwah, NJ: Lawrence Erlbaum Associates, Inc
    • Blozis, S. A. (2006). A second-order structured latent curve model for longitudinal data. In K. van Montfort, H. Oud, & A. Satorra (Eds.), Longitudinal models in the behavioral and related sciences (pp. 189-214). Mahwah, NJ: Lawrence Erlbaum Associates, Inc.
    • (2006) Longitudinal Models in the Behavioral and Related Sciences , pp. 189-214
    • Blozis, S.A.1
  • 3
    • 0033259166 scopus 로고    scopus 로고
    • Conditionally linear mixed-effects models with latent variable covariates
    • Blozis, S. A., & Cudeck, R. (1999). Conditionally linear mixed-effects models with latent variable covariates. Journal of Educational & Behavioral Statistics, 24, 245-270.
    • (1999) Journal of Educational & Behavioral Statistics , vol.24 , pp. 245-270
    • Blozis, S.A.1    Cudeck, R.2
  • 6
    • 0000484191 scopus 로고
    • Structured latent curve models
    • In C. M. Cuadras & C. R. Rao (Eds.), Amsterdam, The Netherlands: Elsevier Science
    • Browne, M. W. (1993). Structured latent curve models. In C. M. Cuadras & C. R. Rao (Eds.), Multivariate analysis: Future directions 2 (pp. 171-197). Amsterdam, The Netherlands: Elsevier Science.
    • (1993) Multivariate Analysis: Future Directions , vol.2 , pp. 171-197
    • Browne, M.W.1
  • 7
    • 0002643508 scopus 로고
    • Models for learning data
    • In L. M. Collins & J. L. Horn (Eds.), Washington, DC: American Psychological Association
    • Browne, M. W., & du Toit, S. H. C. (1991). Models for learning data. In L. M. Collins & J. L. Horn (Eds.), Best methods for the analysis of change (pp. 47-68). Washington, DC: American Psychological Association.
    • (1991) Best Methods for the Analysis of Change , pp. 47-68
    • Browne, M.W.1    du Toit, S.H.C.2
  • 8
    • 29144484375 scopus 로고    scopus 로고
    • Poor children's fourth-grade slump
    • Chall, J. S., & Jacobs, V. A. (2003). Poor children's fourth-grade slump. American Educator, 27, 14-15, 44.
    • (2003) American Educator , vol.27 , Issue.14-15 , pp. 44
    • Chall, J.S.1    Jacobs, V.A.2
  • 11
    • 0030305195 scopus 로고    scopus 로고
    • Mixed-effects models in the study of individual differences with repeated measures data
    • Cudeck, R. (1996). Mixed-effects models in the study of individual differences with repeated measures data. Multi-variate Behavioral Research, 31, 371-403.
    • (1996) Multi-variate Behavioral Research , vol.31 , pp. 371-403
    • Cudeck, R.1
  • 12
    • 33847026094 scopus 로고    scopus 로고
    • The analysis of nonlinear patterns of change with random coefficient models
    • Cudeck, R., & Harring, J. R. (2007). The analysis of nonlinear patterns of change with random coefficient models. Annual Review of Psychology, 58, 615-637.
    • (2007) Annual Review of Psychology , vol.58 , pp. 615-637
    • Cudeck, R.1    Harring, J.R.2
  • 13
    • 79957812767 scopus 로고    scopus 로고
    • Developing a random coefficient model for nonlinear repeated measures data
    • In S.-M. Chow, E. Ferrer, & F. Hsieh (Eds.), New York, NY: Routledge
    • Cudeck, R., & Harring, J. R. (2010). Developing a random coefficient model for nonlinear repeated measures data. In S.-M. Chow, E. Ferrer, & F. Hsieh (Eds.), Statistical methods for modeling human dynamics: An interdisciplinary dialogue. New York, NY: Routledge.
    • (2010) Statistical Methods for Modeling Human Dynamics: An Interdisciplinary Dialogue
    • Cudeck, R.1    Harring, J.R.2
  • 16
    • 61449225478 scopus 로고    scopus 로고
    • Estimation of the nonlinear random coefficient model when some random effects are separable
    • Du Toit, S. H. C., & Cudeck, R. (2009). Estimation of the nonlinear random coefficient model when some random effects are separable. Psychometrika, 74, 65-82.
    • (2009) Psychometrika , vol.74 , pp. 65-82
    • du Toit, S.H.C.1    Cudeck, R.2
  • 17
    • 69949083659 scopus 로고    scopus 로고
    • Factorial invariance and the specification of second-order latent growth models
    • Ferrer, E., Balluerka, N., & Widaman, K. F. (2008). Factorial invariance and the specification of second-order latent growth models. Methodology, 4, 22-36.
    • (2008) Methodology , vol.4 , pp. 22-36
    • Ferrer, E.1    Balluerka, N.2    Widaman, K.F.3
  • 19
    • 77954444096 scopus 로고    scopus 로고
    • Nonlinear growth models in Mplus and SAS
    • Grimm, K. J., & Ram, N. (2009). Nonlinear growth models in Mplus and SAS. Structural Equation Modeling, 16, 676-701.
    • (2009) Structural Equation Modeling , vol.16 , pp. 676-701
    • Grimm, K.J.1    Ram, N.2
  • 24
    • 0000136315 scopus 로고
    • When is invariance not invariant: A practical scientist's look at the ethereal concept of factor invariance?
    • Horn, J. L., McArdle, J. J., & Mason, R. (1983). When is invariance not invariant: A practical scientist's look at the ethereal concept of factor invariance? Southern Psychologist, 1, 179-188.
    • (1983) Southern Psychologist , vol.1 , pp. 179-188
    • Horn, J.L.1    McArdle, J.J.2    Mason, R.3
  • 25
    • 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 (pp. 561-614). New York, NY: Plenum.
    • (1988) Handbook of Multivariate Experimental Psychology , pp. 561-614
    • McArdle, J.J.1
  • 26
    • 34147110831 scopus 로고
    • Measurement invariance, factor analysis and factorial invariance
    • Meredith, W. (1993). Measurement invariance, factor analysis and factorial invariance. Psychometrika, 58, 525-543.
    • (1993) Psychometrika , vol.58 , pp. 525-543
    • Meredith, W.1
  • 27
    • 0003126745 scopus 로고    scopus 로고
    • The role of factorial invariance in modeling growth and change
    • In L. M. Collins & A. G. Sayer (Eds.), Washington, DC: American Psychological Association
    • Meredith, W., & Horn, J. L. (2001). The role of factorial invariance in modeling growth and change. In L. M. Collins & A. G. Sayer (Eds.), New methods for the analysis of change (pp. 203-240). Washington, DC: American Psychological Association.
    • (2001) New Methods for the Analysis of Change , pp. 203-240
    • Meredith, W.1    Horn, J.L.2
  • 29
    • 0003637433 scopus 로고
    • New York, NY: Oxford University Press
    • Perfetti, C. A. (1985). Reading ability. New York, NY: Oxford University Press.
    • (1985) Reading Ability
    • Perfetti, C.A.1
  • 31
    • 1642602840 scopus 로고    scopus 로고
    • Creating fluent readers
    • Rasinski, T. (2004). Creating fluent readers. Educational Leadership, 61, 46-51.
    • (2004) Educational Leadership , vol.61 , pp. 46-51
    • Rasinski, T.1
  • 33
    • 0041354188 scopus 로고    scopus 로고
    • Reading fluency: Its development and assessment
    • In A. Farstrup & S. J. Samuels (Eds.), (3rd ed.). Newark, DE: International Reading Association
    • Samuels, S. J. (2002). Reading fluency: Its development and assessment. In A. Farstrup & S. J. Samuels (Eds.), What research has to say about reading instruction (3rd ed.). Newark, DE: International Reading Association.
    • (2002) What Research Has to Say About Reading Instruction
    • Samuels, S.J.1
  • 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
  • 38
    • 0003095355 scopus 로고    scopus 로고
    • Exploring the measurement invariance of psychological instruments: Applications in the substance abuse domain
    • In K. J. Bryant, M. Windle, & S. G. West (Eds.), Washington, DC: American Psychological Association
    • Widaman, K. F., & Reise, S. (1997). Exploring the measurement invariance of psychological instruments: Applications in the substance abuse domain. In K. J. Bryant, M. Windle, & S. G. West (Eds.), The science of prevention: Methodological advances from alcohol and substance abuse (pp. 281-324). Washington, DC: American Psychological Association.
    • (1997) The Science of Prevention: Methodological Advances From Alcohol and Substance Abuse , pp. 281-324
    • Widaman, K.F.1    Reise, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.