Negative Binomial Models for Visual Fixation Counts on Test Items von Man, Kaiwen, Harring, Jeffrey R.

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Joint Modeling of Compensatory Multidimensional Item Responses and Response Times von Man, Kaiwen, Harring, Jeffrey R., Jiao, Hong, Zhan, Peida

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The Effect of Extreme Response and Non-extreme Response Styles on Testing Measurement Invariance von Liu, Min, Harbaugh, Allen G, Harring, Jeffrey R, Hancock, Gregory R

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Detecting Preknowledge Cheating via Innovative Measures: A Mixture Hierarchical Model for Jointly Modeling Item Responses, Response Times, and Visual Fixation Counts von Man, Kaiwen, Harring, Jeffrey R.

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Assessing Preknowledge Cheating via Innovative Measures: A Multiple-Group Analysis of Jointly Modeling Item Responses, Response Times, and Visual Fixation Counts von Man, Kaiwen, Harring, Jeffrey R.

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A Brief Parent-Focused Intervention to Improve Preschoolers' Conversational Skills and School Readiness von Leech, Kathryn, Wei, Ran, Harring, Jeffrey R, Rowe, Meredith L

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Nonconvergence, Covariance Constraints, and Class Enumeration in Growth Mixture Models von McNeish, Daniel, Harring, Jeffrey R., Bauer, Daniel J.

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Bridging Models of Biometric and Psychometric Assessment: A Three-Way Joint Modeling Approach of Item Responses, Response Times, and Gaze Fixation Counts von Man, Kaiwen, Harring, Jeffrey R., Zhan, Peida

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Improving convergence in growth mixture models without covariance structure constraints von McNeish, Daniel, Harring, Jeffrey R.

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Correcting Model Fit Criteria for Small Sample Latent Growth Models With Incomplete Data von McNeish, Daniel, Harring, Jeffrey R.

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Use of Data Mining Methods to Detect Test Fraud von Man, Kaiwen, Harring, Jeffrey R., Sinharay, Sandip

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Piecewise latent growth models: beyond modeling linear-linear processes von Harring, Jeffrey R., Strazzeri, Marian M., Blozis, Shelley A.

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A multilevel structured latent curve model for disaggregating student and school contributions to learning von McNeish, Daniel, Harring, Jeffrey R., Dumas, Denis

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Using Phantom Variables in Structural Equation Modeling to Assess Model Sensitivity to External Misspecification von Harring, Jeffrey R., McNeish, Daniel M., Hancock, Gregory R.

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Mixture Modeling: Applications in Educational Psychology von Harring, Jeffrey R., Hodis, Flaviu A.

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Investigating Approaches to Estimating Covariate Effects in Growth Mixture Modeling: A Simulation Study von Li, Ming, Harring, Jeffrey R.

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A Comparison of Label Switching Algorithms in the Context of Growth Mixture Models von Cassiday, Kristina R., Cho, Youngmi, Harring, Jeffrey R.

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Handling Missing Data in Growth Mixture Models von Lee, Daniel Y., Harring, Jeffrey R.

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Two-part mixed-effects location scale models von Blozis, Shelley A., McTernan, Melissa, Harring, Jeffrey R., Zheng, Qiwen

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Fitting Nonlinear Mixed-effects Models With Alternative Residual Covariance Structures von Blozis, Shelley A., Harring, Jeffrey R.

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