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Xinya Liang & Chunhua Cao. (2023) Small-Variance Priors in Bayesian Factor Analysis with Ordinal Data. The Journal of Experimental Education 91:4, pages 739-764.
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Benedikt Friemelt, Christian Bloszies, Maximilian S. Ernst, Aaron Peikert, Andreas M. Brandmaier & Tobias Koch. (2023) On the Performance of Different Regularization Methods in Bifactor-(S-1) Models with Explanatory Variables—Caveats, Recommendations, and Future Directions. Structural Equation Modeling: A Multidisciplinary Journal 30:4, pages 560-573.
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Steffen Nestler. (2023) A Mixed-Effects Model in Which the Parameters of the Autocorrelated Error Structure Can Differ between Individuals. Multivariate Behavioral Research 0:0, pages 1-12.
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Jannik H. Orzek, Manuel Arnold & Manuel C. Voelkle. (2023) Striving for Sparsity: On Exact and Approximate Solutions in Regularized Structural Equation Models. Structural Equation Modeling: A Multidisciplinary Journal 0:0, pages 1-18.
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Philipp Sterner & David Goretzko. (2023) Exploratory Factor Analysis Trees: Evaluating Measurement Invariance Between Multiple Covariates. Structural Equation Modeling: A Multidisciplinary Journal 0:0, pages 1-16.
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Steffen Nestler. (2022) Regularized 2SLS Estimation of Structural Equation Model Parameters. Structural Equation Modeling: A Multidisciplinary Journal 29:6, pages 920-932.
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Po-Hsien Huang. (2022) Penalized Least Squares for Structural Equation Modeling with Ordinal Responses. Multivariate Behavioral Research 57:2-3, pages 279-297.
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Florian Scharf, Jana Pförtner & Steffen Nestler. (2021) Can Ridge and Elastic Net Structural Equation Modeling be Used to Stabilize Parameter Estimates when Latent Factors are Correlated?. Structural Equation Modeling: A Multidisciplinary Journal 28:6, pages 928-940.
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Jinsong Chen. (2021) A Bayesian Regularized Approach to Exploratory Factor Analysis in One Step. Structural Equation Modeling: A Multidisciplinary Journal 28:4, pages 518-528.
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Timothy Hayes & Satoshi Usami. (2020) Factor Score Regression in Connected Measurement Models Containing Cross-Loadings. Structural Equation Modeling: A Multidisciplinary Journal 27:6, pages 942-951.
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Articles from other publishers (13)
Laixu Shang, Qian-Zhen Zheng, Ping-Feng Xu, Na Shan & Man-Lai Tang. (2023) A generalized expectation model selection algorithm for latent variable selection in multidimensional item response theory models. Statistics and Computing 34:1.
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Kei Hirose & Yoshikazu Terada. (2022) Sparse and Simple Structure Estimation via Prenet Penalization. Psychometrika 88:4, pages 1381-1406.
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Matt C. Howard. (2023) A systematic literature review of exploratory factor analyses in management. Journal of Business Research 164, pages 113969.
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Alexander Robitzsch. (2023) Model-Robust Estimation of Multiple-Group Structural Equation Models. Algorithms 16:4, pages 210.
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Laixu Shang, Ping-Feng Xu, Na Shan, Man-Lai Tang & George To-Sum Ho. (2023) Accelerating L1-penalized expectation maximization algorithm for latent variable selection in multidimensional two-parameter logistic models. PLOS ONE 18:1, pages e0279918.
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Alexander Robitzsch. (2022) Comparing the Robustness of the Structural after Measurement (SAM) Approach to Structural Equation Modeling (SEM) against Local Model Misspecifications with Alternative Estimation Approaches. Stats 5:3, pages 631-672.
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Steffen Nestler & Sarah Humberg. (2021) A Lasso and a Regression Tree Mixed-Effect Model with Random Effects for the Level, the Residual Variance, and the Autocorrelation. Psychometrika 87:2, pages 506-532.
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William Sulis. (2022) Quo vadis taxonomies of consistent behavioural patterns: time to change horses?. Current Opinion in Behavioral Sciences 44, pages 101103.
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Henrique Bolfarine, Carlos M. Carvalho, Hedibert F. Lopes & Jared S. Murray. (2022) Decoupling Shrinkage and Selection in Gaussian Linear Factor Analysis. Bayesian Analysis -1:-1.
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Xiaobei Li, Ross Jacobucci & Brooke A. Ammerman. (2021) Tutorial on the Use of the regsem Package in R. Psych 3:4, pages 579-592.
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Gabriela Lima de Melo Ghisi, Crystal Aultman, Renee Konidis, Evelyn Foster, Nicole Sandison, Mohammad Alavinia, Michael Sarin & Paul Oh. (2021) Development and Validation of the DiAbeTes Education Questionnaire (DATE-Q) to Measure Knowledge Among Diabetes and Prediabetes Patients Attending Cardiac Rehabilitation Programs. Journal of Cardiopulmonary Rehabilitation and Prevention 41:4, pages 224-229.
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Alexander Robitzsch. (2020) Regularized Latent Class Analysis for Polytomous Item Responses: An Application to SPM-LS Data. Journal of Intelligence 8:3, pages 30.
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Florian Scharf & Steffen Nestler. (2019) A Comparison of Simple Structure Rotation Criteria in Temporal Exploratory Factor Analysis for Event-Related Potential Data. Methodology 15:Supplement 1, pages 43-60.
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