I need help solving this problem. Paraprase the following paragraph. Data cleaning will involve checking for duplicates, missing values, and impossible entries (e.g., negative ages or out-of-range scale scores). Minimal missing data will be addressed via listwise deletion, while more substantial or non-random missingness will be handled using multiple imputations. Scale scores will be computed according to the manuals, including reverse-scoring of items where applicable. Outliers and inconsistent responses will be identified using item-level patterns, z-scores (|z| > 3.29), and Mahalanobis distance for multivariate analyses. Each flagged case will be reviewed, and decisions to retain, transform, or remove outliers were documented. Distributions of variables will be examined, and skewed variables were considered for transformation or analyzed using robust methods. A finalized analysis dataset will be created, and a log of all data cleaning decisions, including rationale and timestamps, will be maintained