Variable Measurement Level vs. Data Validation for Integrity

Data Integrity Approach in SPSS

The goal is to enforce data integrity on a specific variable within an SPSS dataset without generating excessive notification noise during data entry.

Constraints and Uncertainty

The specific behavior of alerts is version-dependent, and the core features are measurement level definition and data validation rules.

Should integrity be primarily managed by defining the variable's measurement level (nominal, ordinal, scale) or by applying explicit data validation rules to the variable?

Does setting the measurement level inherently prevent invalid data entry, or is this exclusively the function of validation rules?