Classical Measurement Theory

Thomas Cleff ()
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Thomas Cleff: Pforzheim University of Applied Sciences

Chapter Chapter 5 in Applied Statistics and Multivariate Data Analysis for Business and Economics, 2025, pp 147-154 from Springer

Abstract: Abstract 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.

Keywords: Classical measurement theory; Sampling errors; Nonsampling errors; Systematic errors; Random errors; Validity; Reliability; Probability sampling; Nonprobability sampling (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sptchp:978-3-031-78070-7_5

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DOI: 10.1007/978-3-031-78070-7_5

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