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New developments and techniques in structural equation modeling, pages — A general method for analysis of covariance structures. Biometrika, 57 2 — Lee, S. Structural equation modeling: A Bayesian approach, volume Model comparison of nonlinear structural equation models with fixed covariates. Psychometrika, 68 1 — Evaluation of the bayesian and maximum likelihood approaches in analyzing structural equation models with small sample sizes.

Multi- variate Behavioral Research, 39 4 — Lunn, D. Winbugs-a bayesian modelling framework: concepts, structure, and extensibility. Statistics and computing, 10 4 — Nitzl, C. The use of partial least squares structural equation modelling pls- sem in management accounting research: Directions for future theory development. Journal of Accounting Literature, — Papalia, R. Gme estimation of spatial structural equations models.

Journal of classification, 28 1 — Reinartz, W. An empirical comparison of the efficacy of covariance-based and variance-based sem. International Journal of research in Marketing, 26 4 — Sarstedt, M. Partial least squares structural equation modeling pls-sem : A useful tool for family business researchers.

Journal of Family Business Strategy, 5 1 — Song, X. A tutorial on the bayesian approach for analyzing structural equation models.

SEM Episode 1: Introduction to Structural Equation Models

Journal of Mathematical Psychology, 56 3 — Tenenhaus, M. A global goodness-of-fit index for pls structural equation modelling. Pls path modeling. Vinzi, V. Pls path modeling: from foundations to recent developments and open issues for model assessment and improvement.

Structural equation modeling

In Handbook of partial least squares, pages 47— Wetzels, M. Using pls path model- ing for assessing hierarchical construct models: Guidelines and empirical illustration. MIS quarterly, pages — Wold, H.

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Soft modelling: the basic design and some extensions. Systems under indirect observation, Part II, pages 36— Yang, M. Bayesian semiparametric structural equation models with latent variables.


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Psychometrika, 75 4 — Yanuar, F. The estimation process in bayesian structural equation modeling approach.

In Journal of Physics: Conference Series, volume , page IOP Publishing. Journal of Applied Statistics, 42 1 — Simultaneous equation model based on the generalized maximum entropy for studying the effect of management factors on enter- prise performance. Journal of applied statistics, 36 7 — Simulation study for pls path modelling with high- order construct: A job satisfaction model evidence.

Dunson, D. Bayesian latent variable models for clustered mixed outcomes. Fornell, C. Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, pages 39— Hair, J. The use of partial least squares structural equation modeling in strategic management research: a review of past practices and recommendations for future applications. Long range planning, 45 — Jedidi, K. Bayesian structural equation models for multilevel data.

New developments and techniques in structural equation modeling, pages — A general method for analysis of covariance structures. Biometrika, 57 2 — Lee, S.

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Structural equation modeling: A Bayesian approach, volume Model comparison of nonlinear structural equation models with fixed covariates. Psychometrika, 68 1 — Evaluation of the bayesian and maximum likelihood approaches in analyzing structural equation models with small sample sizes. Multi- variate Behavioral Research, 39 4 — Lunn, D. Winbugs-a bayesian modelling framework: concepts, structure, and extensibility. Statistics and computing, 10 4 — Nitzl, C.

The use of partial least squares structural equation modelling pls- sem in management accounting research: Directions for future theory development. Journal of Accounting Literature, — Papalia, R. Gme estimation of spatial structural equations models.

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Journal of classification, 28 1 — Reinartz, W. An empirical comparison of the efficacy of covariance-based and variance-based sem. International Journal of research in Marketing, 26 4 — Sarstedt, M. Partial least squares structural equation modeling pls-sem : A useful tool for family business researchers. Journal of Family Business Strategy, 5 1 — Song, X.

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A tutorial on the bayesian approach for analyzing structural equation models. Journal of Mathematical Psychology, 56 3 — Tenenhaus, M. A global goodness-of-fit index for pls structural equation modelling. Pls path modeling. Vinzi, V. Pls path modeling: from foundations to recent developments and open issues for model assessment and improvement.