Quantile Regression-Based Multiple Imputation of Missing Values — An Evaluation and Application to Corporal Punishment Data

Quantile Regression-Based Multiple Imputation of Missing Values — An Evaluation and Application to Corporal Punishment Data

Quantile regression (QR) is a valuable tool for data analysis and multiple imputation (MI) of missing values – especially when standard parametric modelling assumptions are violated. Yet, Monte Carlo simulations that systematically evaluate QR-based MI in a variety of different practically relevant...

Full description

Bibliographic Details
Main Authors: Kristian Kleinke, Markus Fritsch, Mark Stemmler, Jost Reinecke, Friedrich Lösel
Format: Article
Language:English
Published: PsychOpen GOLD/ Leibniz Institute for Psychology 2021-09-01
Series:Methodology
Subjects:
missing values
multiple imputation
quantile regression
random forest
corporal punishment
parenting behavior
Online Access:https://meth.psychopen.eu/index.php/meth/article/view/2317

Similar Items

Similar Items