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Structural Equation Modeling: A Multidisciplinary Journal Volume 23, 2016 - Issue 4
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Articles

Inference Based on the Best-Fitting Model Can Contribute to the Replication Crisis: Assessing Model Selection Uncertainty Using a Bootstrap Approach

Gitta H. LubkeUniversity of Notre Dame and VU AmsterdamCorrespondence[email protected]
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Ian CampbellUniversity of Notre DameView further author information
Pages 479-490 | Published online: 07 Apr 2016

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Tiffany A. Whittaker & J. E. Miller. (2021) Exploring the Enumeration Accuracy of Cross-Validation Indices in Latent Class Analysis. Structural Equation Modeling: A Multidisciplinary Journal 28:3, pages 376-390.
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Po-Hsien Huang. (2020) Postselection Inference in Structural Equation Modeling. Multivariate Behavioral Research 55:3, pages 344-360.
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Huiping Wu, Shu Fai Cheung & Shing On Leung. (2020) Simple use of BIC to Assess Model Selection Uncertainty: An Illustration using Mediation and Moderation Models. Multivariate Behavioral Research 55:1, pages 1-16.
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Fabienne Ennigkeit & Frank Hänsel. (2018) Factorial and convergent validity of the Exercise Identity Scale in a German adult sample. Measurement in Physical Education and Exercise Science 22:4, pages 343-355.
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Gitta H. Lubke, Ian Campbell, Dan McArtor, Patrick Miller, Justin Luningham & Stéphanie M. van den Berg. (2017) Assessing Model Selection Uncertainty Using a Bootstrap Approach: An Update. Structural Equation Modeling: A Multidisciplinary Journal 24:2, pages 230-245.
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Kevin J. Grimm, Gina L. Mazza & Pega Davoudzadeh. (2017) Model Selection in Finite Mixture Models: A k-Fold Cross-Validation Approach. Structural Equation Modeling: A Multidisciplinary Journal 24:2, pages 246-256.
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Linfeng Lyu, Yiming Ding & Yuan Wan. (2023) Model Selection Based on Residual Dependence Measure. IEEE Access 11, pages 56428-56436.
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Markus Kreer, Ayse Kizilersu & Anthony W. Thomas. (2022) Censored expectation maximization algorithm for mixtures: Application to intertrade waiting times. Physica A: Statistical Mechanics and its Applications 587, pages 126456.
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Taehun Lee. (2021) Principles and methods for model assessment in psychological research in the era of big-data and machine learning. The Korean Journal of Psychology: General 40:4, pages 389-413.
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K. Naomi Pak, Jillian Nelson, Leah M. Adams & Sarah Fischer. (2021) Mixture Modeling of Nonsuicidal Self-Injury and Binge Eating: Behaviors and Motives. Behavior Therapy 52:5, pages 1265-1276.
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Xiaohui Liu, Yuanyuan Li & Jiming Jiang. (2020) Simple measures of uncertainty for model selection. TEST 30:3, pages 673-692.
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Jacob C. Douma & Bill Shipley. (2021) A multigroup extension to piecewise path analysis. Ecosphere 12:5.
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Kevin J. Grimm, Russell Houpt & Danielle Rodgers. (2021) Model Fit and Comparison in Finite Mixture Models: A Review and a Novel Approach. Frontiers in Education 6.
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Sara K. Johnson. (2021) Latent profile transition analyses and growth mixture models: A very non‐technical guide for researchers in child and adolescent development. New Directions for Child and Adolescent Development 2021:175, pages 111-139.
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John Quiggin. (2019) The Replication Crisis as Market Failure. Econometrics 7:4, pages 44.
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Ian Campbell, Sebastian Lundstrom, Hendrik Larsson, Paul Lichtenstein & Gitta Lubke. (2018) The relation between the age at diagnosis of problem behaviors related to aggression and distal outcomes in Swedish children. European Child & Adolescent Psychiatry 28:7, pages 899-911.
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Jason D. Rights, Sonya K. Sterba, Sun-Joo Cho & Kristopher J. Preacher. (2018) Addressing model uncertainty in item response theory person scores through model averaging. Behaviormetrika 45:2, pages 495-503.
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Gitta H. Lubke & Justin Luningham. (2017) Fitting latent variable mixture models. Behaviour Research and Therapy 98, pages 91-102.
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