Comparar métodos

	Ômega de McDonald para Teste Adaptativo Computadorizado	Teste Adaptativo Computadorizado baseado na Teoria de Resposta ao Item (CAT-IRT)
Área	Psicometria	Psicometria
Família	Latent structure	Latent structure
Ano de origem	1999 (omega); CAT application 2000s–2010s	1970s–1980s
Autor original	Roderick P. McDonald (omega); CAT-omega application extended by IRT and psychometric reliability researchers	Lord, F. M.; further developed by Wainer, van der Linden, and others
Tipo	Reliability coefficient for adaptive tests	Adaptive measurement / sequential testing
Fonte seminal	McDonald, R. P. (1999). Test Theory: A Unified Treatment. Lawrence Erlbaum Associates. ISBN: 978-0805830408	Wainer, H. (Ed.). (2000). Computerized Adaptive Testing: A Primer (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805835113
Outros nomes	CAT omega reliability, omega in adaptive testing, hierarchical omega for CAT, CAT composite reliability	CAT-IRT, adaptive testing, IRT-based CAT, computerized adaptive testing
Relacionados	5	4
Resumo	McDonald's omega adapted for computerized adaptive testing (CAT) quantifies the reliability of ability or trait estimates when different examinees answer different subsets of items. Unlike Cronbach's alpha, omega is grounded in a factor model, making it suitable for the heterogeneous item pools and variable test lengths that characterize adaptive administrations.	Computerized adaptive testing based on item response theory is a sequential measurement procedure in which a computer algorithm selects successive test items tailored to each examinee's estimated ability level. Drawing on IRT to model item characteristics and ability estimation, CAT delivers precise scores with far fewer items than fixed-length tests, making it efficient for high-stakes assessments, clinical screening, and large-scale surveys.