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On the Mathematical Relationship Between Latent Change Score and Autoregressive Cross-Lagged Factor Approaches: Cautions for Inferring Causal Relationship Between Variables
16 references·3 citing·46 second hop
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References

  • 1969Investigating Causal Relations by Econometric Models and Cross-spectral Methods22,971 cited
  • 2005Authentic leadership development: Getting to the root of positive forms of leadership5,469 cited
  • 1993Measurement Invariance, Factor Analysis and Factorial Invariance4,533 cited
  • 2008Latent Variable Modeling of Differences and Changes with Longitudinal Data1,945 cited
  • 2005Latent Curve Models1,759 cited
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  • 1995Causal Analysis with Panel Data1,372 cited
  • 1970A general method for analysis of covariance structures1,128 cited
  • 2004From Censure to Reinforcement: Developmental Changes in the Association Between Aggression and Social Status1,012 cited
  • 1987Latent Growth Curves within Developmental Structural Equation Models935 cited
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  • 1988Dynamic but Structural Equation Modeling of Repeated Measures Data654 cited
  • 1967A paradox in the interpretation of group comparisons.613 cited
  • 2001Testing reciprocal relationships between job characteristics and psychological well‐being: A cross‐lagged structural equation model381 cited
  • 1964

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Notes on Factorial Invariance
335 cited
  • 2001The best of both worlds: Combining autoregressive and latent curve models.331 cited
  • Cited by

    • 2019Analyzing the developmental relation of academic self-concept and achievement in elementary school children: Alternative models point to different results.64 cited
    • 2015Inferring Longitudinal Relationships Between Variables: Model Selection Between the Latent Change Score and Autoregressive Cross-Lagged Factor Models51 cited
    • 2021Dynamical Properties and Conceptual Interpretation of Latent Change Score Models38 cited