Using subgroup discovery and latent growth curve modeling to identify unusual developmental trajectories

Axel Mayer^*, Christoph Kiefer, Benedikt Langenberg, Florian Lemmerich

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic

Original language	English
Title of host publication	Handbook of Computational Social Science, Volume 2: Data Science, Statistical Modelling, and Machine Learning Methods
Editors	U. Engel, A. Quan-Haase, S. X. Liu, L. Lyberg
Publisher	Routledge
Pages	244-266
Number of pages	23
Volume	2
DOIs	https://doi.org/10.4324/9781003025245
Publication status	Published - 2021
Externally published	Yes

Access to Document

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 (Vol. 2, pp. 244-266). Routledge. https://doi.org/10.4324/9781003025245

Mayer, Axel ; Kiefer, Christoph ; Langenberg, Benedikt 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. editor / U. Engel ; A. Quan-Haase ; S. X. Liu ; L. Lyberg. Vol. 2 Routledge, 2021. pp. 244-266

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title = "Using subgroup discovery and latent growth curve modeling to identify unusual developmental trajectories",

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year = "2021",

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pages = "244--266",

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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, SX Liu & L Lyberg (eds), Handbook of Computational Social Science, Volume 2: Data Science, Statistical Modelling, and Machine Learning Methods. vol. 2, Routledge, pp. 244-266. https://doi.org/10.4324/9781003025245

Using subgroup discovery and latent growth curve modeling to identify unusual developmental trajectories. / Mayer, Axel; Kiefer, Christoph; Langenberg, Benedikt et al.
Handbook of Computational Social Science, Volume 2: Data Science, Statistical Modelling, and Machine Learning Methods. ed. / U. Engel; A. Quan-Haase; S. X. Liu; L. Lyberg. Vol. 2 Routledge, 2021. p. 244-266.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic

TY - CHAP

T1 - Using subgroup discovery and latent growth curve modeling to identify unusual developmental trajectories

AU - Mayer, Axel

AU - Kiefer, Christoph

AU - Langenberg, Benedikt

AU - Lemmerich, Florian

PY - 2021

Y1 - 2021

U2 - 10.4324/9781003025245

DO - 10.4324/9781003025245

M3 - Chapter

VL - 2

SP - 244

EP - 266

BT - Handbook of Computational Social Science, Volume 2: Data Science, Statistical Modelling, and Machine Learning Methods

A2 - Engel, U.

A2 - Quan-Haase, A.

A2 - Liu, S. X.

A2 - Lyberg, L.

PB - Routledge

ER -

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, editors, Handbook of Computational Social Science, Volume 2: Data Science, Statistical Modelling, and Machine Learning Methods. Vol. 2. Routledge. 2021. p. 244-266 doi: 10.4324/9781003025245