248 related articles for article (PubMed ID: 31855015)
1. A primer on two-level dynamic structural equation models for intensive longitudinal data in Mplus.
McNeish D; Hamaker EL
Psychol Methods; 2020 Oct; 25(5):610-635. PubMed ID: 31855015
[TBL] [Abstract][Full Text] [Related]
2. At the Frontiers of Modeling Intensive Longitudinal Data: Dynamic Structural Equation Models for the Affective Measurements from the COGITO Study.
Hamaker EL; Asparouhov T; Brose A; Schmiedek F; Muthén B
Multivariate Behav Res; 2018; 53(6):820-841. PubMed ID: 29624092
[TBL] [Abstract][Full Text] [Related]
3. A structural equation modeling approach for modeling variability as a latent variable.
Feng Y; Hancock GR
Psychol Methods; 2024 Apr; 29(2):262-286. PubMed ID: 35404625
[TBL] [Abstract][Full Text] [Related]
4. The fixed versus random effects debate and how it relates to centering in multilevel modeling.
Hamaker EL; Muthén B
Psychol Methods; 2020 Jun; 25(3):365-379. PubMed ID: 31613118
[TBL] [Abstract][Full Text] [Related]
5. Investigating Moderation Effects at the Within-Person Level Using Intensive Longitudinal Data: A Two-Level Dynamic Structural Equation Modelling Approach in Mplus.
Speyer LG; Murray AL; Kievit R
Multivariate Behav Res; 2024; 59(3):620-637. PubMed ID: 38356288
[TBL] [Abstract][Full Text] [Related]
6. Time to criterion latent growth models.
Johnson TL; Hancock GR
Psychol Methods; 2019 Dec; 24(6):690-707. PubMed ID: 30998039
[TBL] [Abstract][Full Text] [Related]
7. Intensive longitudinal mediation in Mplus.
McNeish D; MacKinnon DP
Psychol Methods; 2022 Dec; ():. PubMed ID: 36548080
[TBL] [Abstract][Full Text] [Related]
8. A multiple imputation score test for model modification in structural equation models.
Mansolf M; Jorgensen TD; Enders CK
Psychol Methods; 2020 Aug; 25(4):393-411. PubMed ID: 31621350
[TBL] [Abstract][Full Text] [Related]
9. Quantifying explained variance in multilevel models: An integrative framework for defining R-squared measures.
Rights JD; Sterba SK
Psychol Methods; 2019 Jun; 24(3):309-338. PubMed ID: 29999378
[TBL] [Abstract][Full Text] [Related]
10. A unified framework of longitudinal models to examine reciprocal relations.
Usami S; Murayama K; Hamaker EL
Psychol Methods; 2019 Oct; 24(5):637-657. PubMed ID: 30998041
[TBL] [Abstract][Full Text] [Related]
11. Meta-analytic structural equation modeling with moderating effects on SEM parameters.
Jak S; Cheung MW
Psychol Methods; 2020 Aug; 25(4):430-455. PubMed ID: 31670537
[TBL] [Abstract][Full Text] [Related]
12. Measurement error and person-specific reliability in multilevel autoregressive modeling.
Schuurman NK; Hamaker EL
Psychol Methods; 2019 Feb; 24(1):70-91. PubMed ID: 30188157
[TBL] [Abstract][Full Text] [Related]
13. A tutorial on the meta-analytic structural equation modeling of reliability coefficients.
Scherer R; Teo T
Psychol Methods; 2020 Dec; 25(6):747-775. PubMed ID: 32134314
[TBL] [Abstract][Full Text] [Related]
14. Using structural equation modeling to study traits and states in intensive longitudinal data.
Castro-Alvarez S; Tendeiro JN; Meijer RR; Bringmann LF
Psychol Methods; 2022 Feb; 27(1):17-43. PubMed ID: 34014719
[TBL] [Abstract][Full Text] [Related]
15. A model-based imputation procedure for multilevel regression models with random coefficients, interaction effects, and nonlinear terms.
Enders CK; Du H; Keller BT
Psychol Methods; 2020 Feb; 25(1):88-112. PubMed ID: 31259566
[TBL] [Abstract][Full Text] [Related]
16. A general multilevel SEM framework for assessing multilevel mediation.
Preacher KJ; Zyphur MJ; Zhang Z
Psychol Methods; 2010 Sep; 15(3):209-33. PubMed ID: 20822249
[TBL] [Abstract][Full Text] [Related]
17. Causal effect analysis in nonrandomized data with latent variables and categorical indicators: The implementation and benefits of EffectLiteR.
Sengewald MA; Mayer A
Psychol Methods; 2024 Apr; 29(2):287-307. PubMed ID: 35549317
[TBL] [Abstract][Full Text] [Related]
18. The current status of temporal network analysis for clinical science: Considerations as the paradigm shifts?
Jordan DG; Winer ES; Salem T
J Clin Psychol; 2020 Sep; 76(9):1591-1612. PubMed ID: 32386334
[TBL] [Abstract][Full Text] [Related]
19. Using generalizability theory with continuous latent response variables.
Vispoel WP; Morris CA; Kilinc M
Psychol Methods; 2019 Apr; 24(2):153-178. PubMed ID: 30080056
[TBL] [Abstract][Full Text] [Related]
20. Analyzing discontinuities in longitudinal count data: A multilevel generalized linear mixed model.
Peugh JL; Beal SJ; McGrady ME; Toland MD; Mara C
Psychol Methods; 2021 Aug; 26(4):375-397. PubMed ID: 32852981
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
