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Original Articles

A Note on the Use of Missing Auxiliary Variables in Full Information Maximum Likelihood-Based Structural Equation Models

Pages 434-448 | Published online: 18 Jul 2008

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G. Anne Bogat, Kristyn Wong, Maria Muzik, Joseph S. Lonstein, Amy K. Nuttall, Alytia A. Levendosky, Cara F. Colao, Alanah Hall, Kara Cochran, Kathryn R. Forche, Allison Koneczny, Amanda Gareffa, Olivia Oates, Stephanie Robinson, Alexandra Ballinger & Sara F. Stein. (2023) Conducting virtual assessments in developmental research: COVID-19 restrictions as a case example. Applied Developmental Science 27:1, pages 1-17.
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Iris Eekhout, Craig K. Enders, Jos W. R. Twisk, Michiel R. de Boer, Henrica C. W. de Vet & Martijn W. Heymans. (2015) Analyzing Incomplete Item Scores in Longitudinal Data by Including Item Score Information as Auxiliary Variables. Structural Equation Modeling: A Multidisciplinary Journal 22:4, pages 588-602.
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Waylon J. Howard, Mijke Rhemtulla & Todd D. Little. (2015) Using Principal Components as Auxiliary Variables in Missing Data Estimation. Multivariate Behavioral Research 50:3, pages 285-299.
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GeorgeE. Higgins, EmmaLeighE. Kirchner, MelissaL. Ricketts & CatherineD. Marcum. (2011) Developing self‐control: the role of parental stress. Criminal Justice Studies 24:2, pages 183-198.
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