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Sherwin G. Toribio & Abdulaziz Elfessi. (2023) A Bayesian look at classical estimation: The shape of the pareto distribution and its functions. Research in Mathematics 10:1.
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Daniel McNeish. (2020) Relaxing the Proportionality Assumption in Latent Basis Models for Nonlinear Growth. Structural Equation Modeling: A Multidisciplinary Journal 27:5, pages 817-824.
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Lucy Barnard-Brak, Laci Watkins & David Richman. (2020) Estimating effect size with respect to variance in baseline to treatment phases of single-case experimental designs: A Bayesian simulation study. Evidence-Based Communication Assessment and Intervention 14:1-2, pages 69-81.
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Sanne C. Smid, Sarah Depaoli & Rens Van De Schoot. (2020) Predicting a Distal Outcome Variable From a Latent Growth Model: ML versus Bayesian Estimation. Structural Equation Modeling: A Multidisciplinary Journal 27:2, pages 169-191.
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Daniel McNeish. (2019) Two-Level Dynamic Structural Equation Models with Small Samples. Structural Equation Modeling: A Multidisciplinary Journal 26:6, pages 948-966.
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Sierra A. Bainter & Daniel E. Forster. (2019) The Impact of Moderate Priors For Bayesian Estimation and Testing of Item Factor Analysis Models When Maximum Likelihood is Unsuitable. Structural Equation Modeling: A Multidisciplinary Journal 26:1, pages 80-93.
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Jieru Chen & Audrey J. Leroux. (2018) Residual Normality Assumption and the Estimation of Multiple Membership Random Effects Models. Multivariate Behavioral Research 53:6, pages 898-913.
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Qian Zhang & Beth Phillips. (2018) Three-Level Longitudinal Mediation with Nested Units: How does an Upper-Level Predictor Influence a Lower-Level Outcome via an Upper-Level Mediator Over Time?. Multivariate Behavioral Research 53:5, pages 655-675.
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Steffen Zitzmann. (2018) A Computationally More Efficient and More Accurate Stepwise Approach for Correcting for Sampling Error and Measurement Error. Multivariate Behavioral Research 53:5, pages 612-632.
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Ross Jacobucci & Kevin J. Grimm. (2018) Comparison of Frequentist and Bayesian Regularization in Structural Equation Modeling. Structural Equation Modeling: A Multidisciplinary Journal 25:4, pages 639-649.
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Katerina M. Marcoulides. (2018) Careful with Those Priors: A Note on Bayesian Estimation in Two-Parameter Logistic Item Response Theory Models. Measurement: Interdisciplinary Research and Perspectives 16:2, pages 92-99.
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Daniel McNeish. (2018) Applying Kaplan-Meier to Item Response Data. The Journal of Experimental Education 86:2, pages 308-324.
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Ling Ning & Wen Luo. (2018) Class Identification Efficacy in Piecewise GMM with Unknown Turning Points. The Journal of Experimental Education 86:2, pages 282-307.
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Audrey J. Leroux & S. Natasha Beretvas. (2018) Estimation of a Latent Variable Regression Growth Curve Model for Individuals Cross-Classified by Clusters. Multivariate Behavioral Research 53:2, pages 231-246.
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Milica Miočević, David P. MacKinnon & Roy Levy. (2017) Power in Bayesian Mediation Analysis for Small Sample Research. Structural Equation Modeling: A Multidisciplinary Journal 24:5, pages 666-683.
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Daniel McNeish. (2017) Small Sample Methods for Multilevel Modeling: A Colloquial Elucidation of REML and the Kenward-Roger Correction. Multivariate Behavioral Research 52:5, pages 661-670.
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Daniel McNeish. (2017) Multilevel Mediation With Small Samples: A Cautionary Note on the Multilevel Structural Equation Modeling Framework. Structural Equation Modeling: A Multidisciplinary Journal 24:4, pages 609-625.
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Emma Beard & Robert West. (2017) Using Bayesian statistics in health psychology: a comment on Depaoli et al. (2017). Health Psychology Review 11:3, pages 298-301.
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