Comparar métodos

	Validez de constructo en pruebas adaptativas computarizadas (CAT)	Análisis Factorial Confirmatorio (AFC)
Campo	Psicometría	Psicometría
Familia	Latent structure	Latent structure
Año de origen	1989–2000s	1969
Autor original	Samuel Messick (unified validity framework); CAT application formalized by Wainer, van der Linden, and colleagues	Karl Gustav Jöreskog
Tipo	Validity evaluation / psychometric evidence gathering	Hypothesis-testing latent variable model
Fuente seminal	Messick, S. (1989). Validity. In R. L. Linn (Ed.), Educational Measurement (3rd ed., pp. 13–103). American Council on Education / Macmillan.	Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202.
Alias	CAT construct validity, adaptive test construct validation, CAT validity evidence, construct validity evidence in CAT	CFA, confirmatory FA, measurement model, restricted factor analysis
Relacionados	6	4
Resumen	Construct validity in computerized adaptive testing evaluates whether the latent trait estimates produced by a CAT instrument genuinely measure the intended psychological or educational construct. Because adaptive algorithms select items individually for each examinee, the validity evidence gathered must account for the variable item exposure and the IRT-based scoring that are unique to CAT administrations.	Confirmatory factor analysis tests a researcher-specified factor structure against observed data. Unlike exploratory approaches, the researcher decides in advance which indicators load on which latent factor, and the model is evaluated by how closely the implied covariance matrix reproduces the sample covariance matrix. CFA is central to scale validation, construct validity assessment, and measurement invariance testing.