The data preparation process is the critical step of transforming raw, unanalyzed data into an organized format ready for statistical analysis. This complex process involves coding and combining multiple variables—such as demographics, independent and dependent variables, and manipulation checks—for each participant. It also requires identifying and handling any missing, incorrect, or suspicious responses.