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Measurement, Statistics, and Research Design

Brief Research Report: Growth Models With Small Samples and Missing Data

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Valentin Roux, Guillaume Martinent & David Trouilloud. (2023) Temporal dynamics of the quality of the coach-athlete relationship over one season among adolescent handball players: a latent class analysis approach. International Journal of Sport and Exercise Psychology 21:6, pages 1107-1124.
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Sara Dhaene & Yves Rosseel. (2022) Resampling Based Bias Correction for Small Sample SEM. Structural Equation Modeling: A Multidisciplinary Journal 29:5, pages 755-771.
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Eric Nimako Aidoo, Simon K. Appiah & Alexander Boateng. (2021) Brief Research Report: A Monte Carlo Simulation Study of Small Sample Bias in Ordered Logit Model under Multicollinearity. The Journal of Experimental Education 89:4, pages 742-750.
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Daniel McNeish & Tyler H. Matta. (2020) Flexible Treatment of Time-Varying Covariates with Time Unstructured Data. Structural Equation Modeling: A Multidisciplinary Journal 27:2, pages 298-317.
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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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Tracy L. Simpson, Debra L. Kaysen, Charles B. Fleming, Isaac C. Rhew, Anna E. Jaffe, Sruti Desai, Denise A. Hien, Lucy Berliner, Dennis Donovan & Patricia A. Resick. (2022) Cognitive Processing Therapy or Relapse Prevention for comorbid Posttraumatic Stress Disorder and Alcohol Use Disorder: A randomized clinical trial. PLOS ONE 17:11, pages e0276111.
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Ioannis Zavrakidis, Katarzyna Jóźwiak & Michael Hauptmann. (2020) Statistical analysis of longitudinal data on tumour growth in mice experiments. Scientific Reports 10:1.
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