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Structural Equation Models of Latent Interactions: An Appropriate Standardized Solution and Its Scale-Free Properties
16 references·12 citing·44 second hop
Structural Equation Models of Latent Interactions: An Appropriate Standardized Solution and Its Scale-Free Properties (2010)Structural Equation Models of Latent Inte…Interaction and Nonlinear Effects in Structural Equation Modeling (2017)Interaction and Nonlinear Eff…Structural Equation Modeling: A Second Course (2007)Structural Equation Modeling:…Quasi-Maximum Likelihood Estimation of Structural Equation Models With Multiple Interaction and Quadratic Effects (2007)Quasi-Maximum Likelihood Esti…On the Merits of Orthogonalizing Powered and Product Terms: Implications for Modeling Interactions Among Latent Variables (2006)On the Merits of Orthogonaliz…The use of item parcels in structural equation modelling: Non‐normal data and small sample sizes (2004)The use of item parcels in st…Structural Equation Models of Latent Interactions: Evaluation of Alternative Estimation Strategies and Indicator Construction. 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(1995)Measurement error in the anal…Analysis of correlation matrices using covariance structure models. (1989)Analysis of correlation matri…Estimating the nonlinear and interactive effects of latent variables. 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References

  • 2002Principles and practice in reporting structural equation analyses.4,724 cited
  • 2007Structural Equation Modeling: A Second Course2,840 cited
  • 1998Advanced Structural Equation Modeling: Issues and Techniques1,631 cited
  • 2000Maximum Likelihood Estimation of Latent Interaction Effects with the LMS Method1,419 cited
  • 2004Structural Equation Models of Latent Interactions: Evaluation of Alternative Estimation Strategies and Indicator Construction.1,197 cited
  • 1984Estimating the nonlinear and interactive effects of latent variables.938 cited
  • 2006On the Merits of Orthogonalizing Powered and Product Terms: Implications for Modeling Interactions Among Latent Variables766 cited
  • 1989Analysis of correlation matrices using covariance structure models.567 cited
  • 2017Interaction and Nonlinear Effects in Structural Equation Modeling512 cited
  • 2004The use of item parcels in structural equation modelling: Non‐normal data and small sample sizes467 cited
  • 1982COVARIANCE STRUCTURES465 cited
  • 1995Measurement error in the analysis of interaction effects between continuous predictors using multiple regression: Multiple indicator and structural equation approaches.444 cited
  • 1996Nonlinear structural equation models: The Kenny-Judd model with Interaction effects395 cited
  • 1996Latent variable interaction and quadratic effect estimation: A two-step technique using structural equation analysis.

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310 cited
  • 2007Quasi-Maximum Likelihood Estimation of Structural Equation Models With Multiple Interaction and Quadratic Effects253 cited
  • 1998A Bayesian Approach to Nonlinear Latent Variable Models using the Gibbs Sampler and the Metropolis-Hastings Algorithm229 cited
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    • 2023Urban administrative hierarchy and urban land use efficiency: Evidence from Chinese cities97 cited
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    • 2016Does avoidance‐attachment style attenuate the benefits of being listened to?63 cited
    • 2013A Comparison of Strategies for Forming Product Indicators for Unequal Numbers of Items in Structural Equation Models of Latent Interactions38 cited
    • 2014The choice of product indicators in latent variable interaction models: Post hoc analyses.37 cited
    • 2023Does Accountability Audit of Natural resources promote green innovation in heavily polluting enterprises? Evidence from China20 cited
    • 2025How Institutional Pressures Influence the Blame Avoidance Behavior of Civil Servants in China13 cited
    • 2025The effects of face consciousness on young travelers’ intention to adopt mobility as a service (MaaS): A case study in Shanghai, China6 cited
    • 2024Unequal gender‐based attraction toward public sector employment in China: The role of perceived discrimination and public service motivation4 cited