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Multivariate Behavioral Research|August 11, 2021
A Latent Auto-Regressive Approach for Bayesian Structural Equation Modeling of Spatially or Socially Dependent DataZachary J Roman, Holger BrandtMultivariate Behavioral Research|September 10, 2019
A More Efficient Causal Mediator Model Without the No-Unmeasured-Confounder AssumptionHolger BrandtPsychological Methods|September 23, 2024
Causal definitions versus casual estimation: Reply to Valente et al. (2022)Holger BrandtFrontiers in Psychology|August 8, 2014
A general non-linear multilevel structural equation mixture modelAugustin Kelava, Holger BrandtMultivariate Behavioral Research|November 27, 2015
A Heterogeneous Growth Curve Model for Nonnormal DataHolger Brandt, Andreas G KleinFrontiers in Psychology|December 10, 2015
The Standardization of Linear and Nonlinear Effects in Direct and Indirect Applications of Structural Equation Mixture Models for Normal and Nonnormal DataHolger Brandt, Nora Umbach, Augustin KelavaJournal of Counseling Psychology|July 1, 2021
The evolution of patients' concept of the alliance and its relation to outcome: A dynamic latent-class structural equation modeling approachChristoph Flückiger, Adam O Horvath, Holger BrandtFrontiers in Psychology|May 16, 2022
Automated Bot Detection Using Bayesian Latent Class Models in Online SurveysZachary Joseph Roman, Holger Brandt, Jason Michael MillerPsychological Methods|June 8, 2023
Bayesian penalty methods for evaluating measurement invariance in moderated nonlinear factor analysisHolger Brandt, Siyuan Marco Chen, Daniel J BauerBehavior Research Methods|June 5, 2020
Addressing missing data in specification search in measurement invariance testing with Likert-type scale variables: A comparison of two approachesPo-Yi Chen, Wei Wu, Holger Brandt, et al.Pageof 2