References in zbMATH (referenced in 126 articles )

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  1. Dudgeon, Paul: Some improvements in confidence intervals for standardized regression coefficients (2017)
  2. García-Santillán, Arturo: Measuring set latent variables that explain attitude toward statistic through exploratory factor analysis with principal components extraction and confirmatory analysis (2017)
  3. Grønneberg, Steffen; Foldnes, Njål: Covariance model simulation using regular vines (2017)
  4. Maydeu-Olivares, Alberto: Assessing the size of model misfit in structural equation models (2017)
  5. Nora Umbach and Katharina Naumann and Holger Brandt and Augustin Kelava: Fitting Nonlinear Structural Equation Models in R with Package nlsem (2017)
  6. Yemao, Xia; Maolin, Pan: Bayesian analysis for confirmatory factor model with finite-dimensional Dirichlet prior mixing (2017)
  7. Yuan, Ke-Hai; Bentler, Peter M.: Improving the convergence rate and speed of Fisher-scoring algorithm: ridge and anti-ridge methods in structural equation modeling (2017)
  8. Bentler, Peter M.: Covariate-free and covariate-dependent reliability (2016)
  9. Deng, Lifang; Yuan, Ke-Hai: Comparing latent means without mean structure models: a projection-based approach (2016)
  10. Jennrich, Robert; Satorra, Albert: The infinitesimal jackknife and moment structure analysis using higher order moments (2016)
  11. Katsikatsou, Myrsini; Moustaki, Irini: Pairwise likelihood ratio tests and model selection criteria for structural equation models with ordinal variables (2016)
  12. Lin, Shu-Hui; Huang, Yun-Chen: Development and application of a Chinese version of the short attitudes toward mathematics inventory (2016) MathEduc
  13. Rhemtulla, Mijke; Savalei, Victoria; Little, Todd D.: On the asymptotic relative efficiency of planned missingness designs (2016)
  14. Xia, Yemao; Gou, Jianwei: Bayesian semiparametric analysis for latent variable models with mixed continuous and ordinal outcomes (2016)
  15. Foldnes, Njål; Grønneberg, Steffen: How general is the Vale-Maurelli simulation approach? (2015)
  16. Pek, Jolynn; Wu, Hao: Profile likelihood-based confidence intervals and regions for structural equation models (2015)
  17. Viterbori, Paola; Usai, M. Carmen; Traverso, Laura; De Franchis, Valentina: How preschool executive functioning predicts several aspects of math achievement in grades 1 and 3: A longitudinal study (2015) MathEduc
  18. Xu, Jianzhong: Investigating factors that influence conventional distraction and tech-related distraction in math homework (2015) MathEduc
  19. Yuan, Ke-Hai; Tian, Yubin; Yanagihara, Hirokazu: Empirical correction to the likelihood ratio statistic for structural equation modeling with many variables (2015)
  20. Daniel Oberski: lavaan.survey: An R Package for Complex Survey Analysis of Structural Equation Models (2014)

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