This chapter covers classical measurement theory, which underpins both descriptive and inferential statistics. It emphasises the importance of stable and valid measurements, acknowledging the inevitability of random errors, but also highlighting the dangers of systematic errors. The chapter also discusses different types of sampling errors, distinguishing between nonprobability and probability sampling methods, and nonsampling errors that may occur during data collection, including response and non-response errors.