Predicting Differences in Model Parameters with Individual Parameter Contribution Regression Using the R Package ipcr

Predicting Differences in Model Parameters with Individual Parameter Contribution Regression Using the R Package ipcr

Unmodeled differences between individuals or groups can bias parameter estimates and may lead to false-positive or false-negative findings. Such instances of heterogeneity can often be detected and predicted with additional covariates. However, predicting differences with covariates can be challengi...

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Bibliographic Details
Main Authors: Manuel Arnold, Andreas M. Brandmaier, Manuel C. Voelkle
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Psych
Subjects:
heterogeneity
individual differences
linear regression
R
structural equation modeling
latent variables
Online Access:https://www.mdpi.com/2624-8611/3/3/27

Internet

https://www.mdpi.com/2624-8611/3/3/27

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