We contribute new cross-national evidence about the nature of measurement errors in employment earnings, fitting the …

). The biases and their mean square errors of the suggested estimators are derived. A comparative study is conducted using …

. Missing data is common in most real-world datasets due to measurement errors, non-responses, and human errors during the data … imputation technique is essential in minimizing the errors and biases introduced in the data during the imputation. The …

Quantitative research relies heavily on coding, and coding errors are relatively common even in published research. In …% more likely to detect coding errors when they lead to unexpected results. This asymmetry in error detection depending on … the results they generate suggests that coding errors may lead to biased findings in scientific research. …