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Volumn 11, Issue 2, 2004, Pages 155-167

Including time-invariant covariates in the latent growth curve model

Author keywords

[No Author keywords available]

Indexed keywords

MATHEMATICAL MODELS; NUMERICAL METHODS; REGRESSION ANALYSIS;

EID: 2642583299     PISSN: 10705511     EISSN: None     Source Type: Journal    
DOI: 10.1207/s15328007sem1102_1     Document Type: Article
Times cited : (20)

References (16)
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    • McArdle, J.J.1
  • 10
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    • 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.
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    • July. Paper presented at the annual meeting of the Psychometric Society, Santa Barbara, CA
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    • (1984) "Tuckerizing" Curves
    • Meredith, W.M.1    Tisak, J.2
  • 12
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    • Meredith, W.M.1    Tisak, J.2
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    • Longitudinal studies of achievement growth using latent variable modeling
    • Muthén, B., & Khoo, S. (1998). Longitudinal studies of achievement growth using latent variable modeling. Learning and Individual Differences, 10(2), 73-102.
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    • Muthén, B.1    Khoo, S.2
  • 14
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    • A structural equations modeling approach to the general linear mixed model
    • L. Collins & A. Sayer (Eds.). Washington, DC: American Psychological Association
    • Rovine, M. J., & Molenaar, P. C. M. (2001). A structural equations modeling approach to the general linear mixed model. In L. Collins & A. Sayer (Eds.), New methods for the analysis of change (pp. 65-96). Washington, DC: American Psychological Association.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.