Using subgroup discovery and latent growth curve modeling to identify unusual developmental trajectories
Mayer A, Kiefer C, Langenberg B, Lemmerich F (2021)
In: Handbook of Computational Social Science, Volume 2. Data Science, Statistical Modelling, and Machine Learning Methods. Engel U, Quan-Haase A, Liu SX, Lyberg L (Eds); London: Routledge: 244-268.
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| Veröffentlicht | Englisch
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Autor*in
Herausgeber*in
Engel, Uwe;
Quan-Haase, Anabel;
Liu, Sunny Xun;
Lyberg, Lars
Erscheinungsjahr
2021
Buchtitel
Handbook of Computational Social Science, Volume 2. Data Science, Statistical Modelling, and Machine Learning Methods
Seite(n)
244-268
eISBN
978-1-003-02524-5
Page URI
https://pub.uni-bielefeld.de/record/2966364
Zitieren
Mayer A, Kiefer C, Langenberg B, Lemmerich F. Using subgroup discovery and latent growth curve modeling to identify unusual developmental trajectories. In: Engel U, Quan-Haase A, Liu SX, Lyberg L, eds. Handbook of Computational Social Science, Volume 2. Data Science, Statistical Modelling, and Machine Learning Methods. London: Routledge; 2021: 244-268.
Mayer, A., Kiefer, C., Langenberg, B., & Lemmerich, F. (2021). Using subgroup discovery and latent growth curve modeling to identify unusual developmental trajectories. In U. Engel, A. Quan-Haase, S. X. Liu, & L. Lyberg (Eds.), Handbook of Computational Social Science, Volume 2. Data Science, Statistical Modelling, and Machine Learning Methods (pp. 244-268). London: Routledge. https://doi.org/10.4324/9781003025245-18
Mayer, Axel, Kiefer, Christoph, Langenberg, Benedikt, and Lemmerich, Florian. 2021. “Using subgroup discovery and latent growth curve modeling to identify unusual developmental trajectories”. In Handbook of Computational Social Science, Volume 2. Data Science, Statistical Modelling, and Machine Learning Methods, ed. Uwe Engel, Anabel Quan-Haase, Sunny Xun Liu, and Lars Lyberg, 244-268. London: Routledge.
Mayer, A., Kiefer, C., Langenberg, B., and Lemmerich, F. (2021). “Using subgroup discovery and latent growth curve modeling to identify unusual developmental trajectories” in Handbook of Computational Social Science, Volume 2. Data Science, Statistical Modelling, and Machine Learning Methods, Engel, U., Quan-Haase, A., Liu, S. X., and Lyberg, L. eds. (London: Routledge), 244-268.
Mayer, A., et al., 2021. Using subgroup discovery and latent growth curve modeling to identify unusual developmental trajectories. In U. Engel, et al., eds. Handbook of Computational Social Science, Volume 2. Data Science, Statistical Modelling, and Machine Learning Methods. London: Routledge, pp. 244-268.
A. Mayer, et al., “Using subgroup discovery and latent growth curve modeling to identify unusual developmental trajectories”, Handbook of Computational Social Science, Volume 2. Data Science, Statistical Modelling, and Machine Learning Methods, U. Engel, et al., eds., London: Routledge, 2021, pp.244-268.
Mayer, A., Kiefer, C., Langenberg, B., Lemmerich, F.: Using subgroup discovery and latent growth curve modeling to identify unusual developmental trajectories. In: Engel, U., Quan-Haase, A., Liu, S.X., and Lyberg, L. (eds.) Handbook of Computational Social Science, Volume 2. Data Science, Statistical Modelling, and Machine Learning Methods. p. 244-268. Routledge, London (2021).
Mayer, Axel, Kiefer, Christoph, Langenberg, Benedikt, and Lemmerich, Florian. “Using subgroup discovery and latent growth curve modeling to identify unusual developmental trajectories”. Handbook of Computational Social Science, Volume 2. Data Science, Statistical Modelling, and Machine Learning Methods. Ed. Uwe Engel, Anabel Quan-Haase, Sunny Xun Liu, and Lars Lyberg. London: Routledge, 2021. 244-268.
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