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Book review of: K. J. Grimm et al., Growth modeling. Structural equation and multilevel modeling approaches. (English) Zbl 1433.00016

Review of [Zbl 1419.62002].

MSC:

00A17 External book reviews
62-01 Introductory exposition (textbooks, tutorial papers, etc.) pertaining to statistics
62-04 Software, source code, etc. for problems pertaining to statistics
62Jxx Linear inference, regression
62P25 Applications of statistics to social sciences

Citations:

Zbl 1419.62002

Software:

brms; WinBUGS; lavaan
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Full Text: DOI

References:

[1] Baltes, PB; Nesselroade, JR; Nesselroade, JR (ed.); Baltes, PB (ed.), History and rationale of longitudinal research, 1-39 (1979), New York, NY
[2] Bürkner, P.-C. (2017). brms: An R package for Bayesian multilevel models using Stan. Journal of Statistical Software, 80(1), 1-28.
[3] Enders, C. K. (2010). Applied missing data analysis. New York, NY: Guilford Press.
[4] Grimm, K. J., Ram, N., & Estabrook, R. (2017). Growth modeling: Structural equation and multilevel modeling approaches. New York: Guilford Press. · Zbl 1419.62002
[5] Kievit, R. A., Brandmaier, A. M., Ziegler, G., van Harmelen, A.-L., de Mooij, S. M., Moutoussis, M., et al. (2017). Developmental cognitive neuroscience using latent change score models: A tutorial and applications. Developmental Cognitive Neuroscience. https://doi.org/10.1016/j.dcn.2017.11.007
[6] Little, T. D. (2013). Longitudinal structural equation modeling. New York, NY: Guilford Press.
[7] McArdle, JJ; Hamagami, F.; Collins, LM (ed.); Sayer, AG (ed.), Latent difference score structural models for linear dynamic analyses with incomplete longitudinal data, 139-175 (2001), Washington, DC
[8] Molenaar, P. C. (2004). A manifesto on psychology as idiographic science: Bringing the person back into scientific psychology, this time forever. Measurement, 2, 201-218.
[9] Rosseel, Y. (2012). lavaan: An R package for structural equation modeling. Journal of Statistical Software, 48(2), 1-36.
[10] Singer, J. D., & Willett, J. B. (2003). Applied longitudinal data analysis: Modeling change and event occurrence. New York, NY: Oxford University Press.
[11] Skrondal, A., & Rabe-Hesketh, S. (2004). Generalized latent variable modeling: Multilevel, longitudinal, and structural equation models. Boca Raton, FL: Chapman & Hall/CRC. · Zbl 1097.62001
[12] Thissen, D., & Steinberg, L. (1986). A taxonomy of item response models. Psychometrika, 51(4), 567-577. · Zbl 0646.62098
[13] Lunn, D. J., Thomas, A., Best, N., & Spiegelhalter, D. (2000). WinBUGS - a Bayesian modelling framework: Concepts, structure, and extensibility. Statistics and Computing, 10, 325-337.
[14] Zhang, Z., Hamagami, F., Wang, L., Nesselroade, J. R., & Grimm, K. J. (2007). Bayesian analysis of longitudinal data using growth curve models. International Journal of Behavioral Development, 31(4), 374-383.
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.