• Corpus ID: 88521610

A Latent Trait Model for Multivariate Longitudinal Data With Two Sources of Measurement Error

@article{Nussbaum2017ALT,
  title={A Latent Trait Model for Multivariate Longitudinal Data With Two Sources of Measurement Error},
  author={Amy Nussbaum and Cornelis J. Potgieter and Michael S Chmielewski},
  journal={arXiv: Applications},
  year={2017}
}
Personality traits are latent variables, and as such, are impossible to measure without the use of an assessment. Responses on the assessments can be influenced by both transient (state-related) error and measurement error, obscuring the true trait levels. Typically, these assessments utilize Likert scales, which yield only discrete data. The loss of information due to the discrete nature of the data represents an additional challenge in assessing the ability of these instruments to measure the… 

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