In this chapter, you will learn how to:

3.1 Apply mathematical transformations to interval-level variables, understanding how such transformations affect the distribution of variable values.

3.2 Implement techniques to simplify variables while preserving their meaningfulness.

3.3 Utilize metadata effectively to contextualize and manage variables, understanding the importance of data documentation.

3.4 Construct additive indexes and measurement scales, recognizing the utility of combining multiple variables to measure complex concepts.

3.5 Identify advanced data transformation techniques, understanding how they enhance data quality and analysis.