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
- Tests & Testing
- Sensory & Motor Testing
- Developmental Scales & Schedules
- Personality Scales & Inventories
- Clinical Psychological Testing
- Neuropsychological Assessment
- Health Psychology Testing
- Educational Measurement
- Occupational & Employment Testing
- Consumer Opinion & Attitude Testing
- Statistics & Mathematics
- Research Methods & Experimental Design
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.