Variable identification is a crucial step in data analysis and modeling, where the researcher determines which variables are relevant for the study and how they should be categorized. This process involves understanding the role each variable plays, whether as an independent, dependent, or confounding variable, and ensuring they align with the study's objectives and hypotheses.