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Modelling non-linear psychological processes:Reviewing and evaluating non-parametric approaches and their applicability to intensive longitudinal data

• Authors : Failenschmid, Jan I.; Vogelsmeier, Leonie V. D. E.; Mulder, Joris

Subjects: Gaussian process; Generalized additive model; Intensive longitudinal data

• Source: Failenschmid, J I, Vogelsmeier, L V D E, Mulder, J & Jongerling, J 2025, 'Modelling non-linear psychological processes : Reviewing and evaluating non-parametric approaches and their applicability to

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How to explore within‑person and between‑person measurement model differences in intensive longitudinal data with the R package lmfa

• Authors : Vogelsmeier, Leonie V.D.E.; Vermunt, Jeroen K.; De Roover, Kim

Subjects: CHULL; CONTINUOUS-TIME; EMOTION DIFFERENTIATION

• Source: Vogelsmeier, L V D E, Vermunt, J K & De Roover, K 2023, 'How to explore within‑person and between‑person measurement model differences in intensive longitudinal

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A comparison of methods for clustering longitudinal data with slowly changing trends

• Authors : Den Teuling, N. G. P.; Pauws, S. C.; van den Heuvel, E. R.

Subjects: Group-based trajectory modeling; Growth mixture modeling; Intensive longitudinal data

• Source: Den Teuling, N G P, Pauws, S C & van den Heuvel, E R 2023, 'A comparison of methods for clustering longitudinal data with slowly changing

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How to explore within‑person and between‑person measurement model differences in intensive longitudinal data with the R package lmfa

• Authors : Vogelsmeier, Leonie V.D.E.; Vermunt, Jeroen K.; De Roover, Kim

Subjects: CHULL; CONTINUOUS-TIME; EMOTION DIFFERENTIATION

• Source: Vogelsmeier , L V D E , Vermunt , J K & De Roover , K 2023 , ' How to explore within‑person and between‑person measurement model differences in intensive

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A comparison of methods for clustering longitudinal data with slowly changing trends

• Authors : Den Teuling, N. G. P.; Pauws, S. C.; van den Heuvel, E. R.

Subjects: Group-based trajectory modeling; Growth mixture modeling; Intensive longitudinal data

• Source: Den Teuling , N G P , Pauws , S C & van den Heuvel , E R 2023 , ' A comparison of methods for clustering longitudinal data with slowly

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Investigating dynamics in attentive and inattentive responding together with their contextual correlates using a novel mixture IRT model for intensive longitudinal data

• Authors : Vogelsmeier, L.V.D.E.; Uglanova, I.; Rein, M.T.

• Source: Vogelsmeier, L V D E, Uglanova, I, Rein, M T & Ulitzsch, E 2024, 'Investigating dynamics in attentive and inattentive responding together with their contextual correlates using a novel mixture IRT

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Investigating dynamics in attentive and inattentive responding together with their contextual correlates using a novel mixture IRT model for intensive longitudinal data

• Authors : Vogelsmeier, L.V.D.E.; Uglanova, I.; Rein, M.T.

• Source: Vogelsmeier , L V D E , Uglanova , I , Rein , M T & Ulitzsch , E 2024 , ' Investigating dynamics in attentive and inattentive responding together with their contextual correlates using a novel mixture

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An illustration of local structural equation modeling for longitudinal data:Examining differences in competence development in secondary schools

• Authors : Olaru, Gabriel; Robitzsch, Alexander; Hildebrandt, Andrea ...

Subjects: Local structural equation modeling; Longitudinal models; Math competence

• Source: Olaru , G , Robitzsch , A , Hildebrandt , A & Schroeders , U 2023 , An illustration of local structural equation modeling for longitudinal

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Latent Markov factor analysis:A mixture modeling approach for evaluating within- and between-person measurement model differences in intensive longitudinal data

• Authors : Vogelsmeier, L.V.D.E.

• Source: Vogelsmeier , L V D E 2022 , ' Latent Markov factor analysis : A mixture modeling approach for evaluating within- and between-person measurement model differences in intensive

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Latent Markov latent trait analysis for exploring measurement model changes in intensive longitudinal data

• Authors : Vogelsmeier, Leonie V.D.E.; Vermunt, Jeroen K.; Keijsers, L.

Subjects: CONTEXT; CONTINUOUS-TIME; DYNAMICS

• Source: Vogelsmeier, L V D E, Vermunt, J K, Keijsers, L & De Roover, K 2021, 'Latent Markov latent trait analysis for exploring measurement model changes in intensive

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