Citations (26)
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Bang Quan Zheng & Peter M. Bentler. (2023) RGLS and RLS in Covariance Structure Analysis. Structural Equation Modeling: A Multidisciplinary Journal 30:2, pages 234-244.
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H. Du & P. M. Bentler. (2022) 40-Year Old Unbiased Distribution Free Estimator Reliably Improves SEM Statistics for Nonnormal Data. Structural Equation Modeling: A Multidisciplinary Journal 29:6, pages 872-887.
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Hadi Alizadeh Noughabi & Jalil Jarrahiferiz. (2020) Tests of fit for the Gumbel distribution: EDF-based tests against entropy-based tests. Journal of Applied Statistics 47:10, pages 1885-1900.
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Yubin Tian & Ke-Hai Yuan. (2019) Mean and Variance Corrected Test Statistics for Structural Equation Modeling with Many Variables. Structural Equation Modeling: A Multidisciplinary Journal 26:6, pages 827-846.
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Silvia A. Tafoya, Vania Aldrete–Cortez, Silvia Ortiz, Claudia Fouilloux, Felipe Flores & Ana M. Monterrosas. (2019) Resilience, sleep quality and morningness as mediators of vulnerability to depression in medical students with sleep pattern alterations. Chronobiology International 36:3, pages 381-391.
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Siavash Jalal & Peter M. Bentler. (2018) Using Monte Carlo Normal Distributions to Evaluate Structural Models With Nonnormal Data. Structural Equation Modeling: A Multidisciplinary Journal 25:4, pages 541-557.
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Ke-Hai Yuan, Ge Jiang & Miao Yang. (2018) Mean and Mean-and-Variance Corrections With Big Data. Structural Equation Modeling: A Multidisciplinary Journal 25:2, pages 214-229.
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Ke-Hai Yuan, Miao Yang & Ge Jiang. (2017) Empirically Corrected Rescaled Statistics for SEM with Small and Large . Multivariate Behavioral Research 52:6, pages 673-698.
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Ge Jiang & Ke-Hai Yuan. (2017) Four New Corrected Statistics for SEM With Small Samples and Nonnormally Distributed Data. Structural Equation Modeling: A Multidisciplinary Journal 24:4, pages 479-494.
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Hao Wu & Johnny Lin. (2016) A Scaled F Distribution as an Approximation to the Distribution of Test Statistics in Covariance Structure Analysis. Structural Equation Modeling: A Multidisciplinary Journal 23:3, pages 409-421.
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Njål Foldnes & Ulf Henning Olsson. (2015) Correcting Too Much or Too Little? The Performance of Three Chi-Square Corrections. Multivariate Behavioral Research 50:5, pages 533-543.
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Articles from other publishers (15)
Andrei D. Viziteu, Luís Costa da Silva, Julian Edbrooke-Childs, Saul Hillman, Miriam Silver, Meryl Westlake & Jasmine Harju-Seppänen. (2023) Testing the Structure of the BERRI using Exploratory and Confirmatory Factor Analysis. Children and Youth Services Review, pages 107353.
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W. Holmes Finch. (2023) A Comparison of Methods for Determining the Number of Factors to Retain with Exploratory Factor Analysis of Dichotomous Data. Psych 5:3, pages 1004-1018.
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Egle Meistaite, Regina Pauli & Mick Cooper. (2023) Development and Validation of Responses to Personal Mortality Measure. Journal of Humanistic Psychology, pages 002216782311731.
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César Merino-Soto, Anthony Copez-Lonzoy, Filiberto Toledano-Toledano, Laura A. Nabors, Jorge Homero Rodrígez-Castro, Gregorio Hernández-Salinas & Miguel Ángel Núñez-Benítez. (2022) Effects of Anonymity versus Examinee Name on a Measure of Depressive Symptoms in Adolescents. Children 9:7, pages 972.
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Aleksandra Luksyte, Talya N. Bauer, Maike E. Debus, Berrin Erdogan & Chia-Huei Wu. (2020) Perceived Overqualification and Collectivism Orientation: Implications for Work and Nonwork Outcomes. Journal of Management 48:2, pages 319-349.
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Lisa J. Jobst, Max Auerswald & Morten Moshagen. (2022) The effect of latent and error non-normality on corrections to the test statistic in structural equation modeling. Behavior Research Methods 54:5, pages 2351-2363.
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Sandra Abegglen, Andrea Krieg, Helen Eigenmann & Robert Greif. (2020) Objective Structured Assessment of Debriefing (OSAD) in simulation-based medical education: Translation and validation of the German version. PLOS ONE 15:12, pages e0244816.
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Feifei Gao, Yuan Yao, Chengwen Yao, Yan Xiong, Honglin Ma & Hongbo Liu. (2020) Moderating Effect of Family Support on the Mediated Relation Between Negative Life Events and Antisocial Behavior Tendencies via Self-Esteem Among Chinese Adolescents. Frontiers in Psychology 11.
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W. Holmes Finch. (2019) Using Fit Statistic Differences to Determine the Optimal Number of Factors to Retain in an Exploratory Factor Analysis. Educational and Psychological Measurement 80:2, pages 217-241.
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Feifei Gao, Yuan Yao, Chengwen Yao, Yan Xiong, Honglin Ma & Hongbo Liu. (2019) The Status of Pro-social Tendency of Left-Behind Adolescents in China: How Family Function and Self-Esteem Affect Pro-social Tendencies. Frontiers in Psychology 10.
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Hao Wu. (2018) Approximations to the distribution of a test statistic in covariance structure analysis: A comprehensive study. British Journal of Mathematical and Statistical Psychology 71:2, pages 334-362.
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Steffen Grønneberg & Njål Foldnes. (2017) Covariance Model Simulation Using Regular Vines. Psychometrika 82:4, pages 1035-1051.
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Njål Foldnes & Steffen Grønneberg. (2014) How General is the Vale–Maurelli Simulation Approach?. Psychometrika 80:4, pages 1066-1083.
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Oscar L. Olvera Astivia & Bruno D. Zumbo. (2014) A Cautionary Note on the Use of the Vale and Maurelli Method to Generate Multivariate, Nonnormal Data for Simulation Purposes. Educational and Psychological Measurement 75:4, pages 541-567.
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Kazuhiko Hayakawa. (2017) Corrected Goodness-of-Fit Test in Covariance Structure Analysis. SSRN Electronic Journal.
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