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Sarfaraz Serang. (2021) A Monte Carlo Test for Longitudinal Structural Equation Models in Small Samples. Structural Equation Modeling: A Multidisciplinary Journal 28:2, pages 165-181.
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Jennifer Koran. (2020) Indicators per Factor in Confirmatory Factor Analysis: More is not Always Better. Structural Equation Modeling: A Multidisciplinary Journal 27:5, pages 765-772.
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Sonya K. Sterba. (2019) Problems with Rationales for Parceling that Fail to Consider Parcel-Allocation Variability. Multivariate Behavioral Research 54:2, pages 264-287.
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Shaun McQuitty. (2018) Reflections on “Statistical Power and Structural Equation Models in Business Research”. Journal of Global Scholars of Marketing Science 28:3, pages 272-277.
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Articles from other publishers (4)
O. V. Klymenyuk, O. M. Ocheredko, V. P. Klymenyuk & A. A. Rudenko. (2023) Analysis of the dependence of the balance sheet values of costs, quality and comfort of medical services on the individualized elasticity of patient demand. Reports of Vinnytsia National Medical University 27:2, pages 293-300.
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Mikyung Sim, Youngsuk Suh & Su-Young Kim. (2022) Comparison of methods for testing mediation effects under structural equation modeling framework: Percentile bootstrap and bias-corrected bootstrap. The Korean Journal of Psychology: General 41:2, pages 103-131.
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Ke‐Hai Yuan & Brenna Gomer. (2021) An overview of applied robust methods. British Journal of Mathematical and Statistical Psychology 74:S1, pages 199-246.
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Wen Qu, Haiyan Liu & Zhiyong Zhang. (2019) A method of generating multivariate non-normal random numbers with desired multivariate skewness and kurtosis. Behavior Research Methods 52:3, pages 939-946.
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