What is the focus of exploratory data analysis in assessment administration?

The focus of exploratory data analysis (EDA) in assessment administration predominantly lies in summarizing the main characteristics of data. EDA serves as a critical first step in data analysis that allows assessors to visually and quantitatively explore the datasets they work with.

By emphasizing the summary of data characteristics, EDA helps in identifying patterns, spotting anomalies, and uncovering insights that might not be immediately obvious. This process includes generating various statistical measures, creating graphical representations such as histograms, box plots, or scatter plots, and examining the relationships between different variables.

Understanding data distribution, central tendencies, and variability is crucial for effective assessment administration, as these insights inform better decision-making and support the accuracy and fairness of property valuations.