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Psychometrics & Statistics & Methodology

Psychometrics is the science of psychological measurement — the theory and methods for constructing, evaluating, and interpreting tests and scales.

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Scope

It covers test theory (classical and item-response), reliability and validity, factor analysis, and the statistical methodology of psychological research.

Sub-topics

Core questions

  • How can psychological attributes be measured?
  • How reliable and valid is a measure?
  • How should tests be constructed and scored?
  • How is measurement error modelled?

Key concepts

  • Reliability
  • Validity
  • Factor analysis
  • Item response theory
  • Measurement error
  • The g factor

Key theories

Factor analysis and intelligence
Spearman introduced factor analysis and the general-intelligence factor g.
Reliability
Cronbach's alpha became the standard index of internal-consistency reliability.
Construct validity
Cronbach and Meehl formalized construct validity, central to measurement theory.

History

From Galton and Spearman's origins, psychometrics developed classical test theory (reliability, validity), factor analysis, and later item-response theory, providing the measurement foundations of psychology.

Debates

How should validity be conceptualized?
Construct validity reframed validity as a unified, theory-laden judgment rather than a set of separate coefficients.

Key figures

  • Charles Spearman
  • Lee Cronbach
  • Paul Meehl

Related topics

Seminal works

  • spearman-1904
  • cronbach-1951
  • cronbach-meehl-1955

Frequently asked questions

What is reliability versus validity?
Reliability is the consistency of a measure; validity is whether it measures what it claims to. A test can be reliable without being valid.

Methods for this concept

Related concepts