ScholarGate
Asistents

Salīdzināt metodes

Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.

Ordinālā atbildes vienības teorija×Apstiprinošā faktoru analīze (AFA)×
NozarePsihometrijaPsihometrija
SaimeLatent structureLatent structure
Izcelsmes gads19691969
AutorsFumiko Samejima (Graded Response Model, 1969); Gerhard Fischer & Georg Rasch lineage for partial creditKarl Gustav Jöreskog
TipsProbabilistic latent trait model for ordered polytomous responsesHypothesis-testing latent variable model
PirmavotsSamejima, F. (1969). Estimation of latent ability using a response pattern of graded scores. Psychometrika Monograph Supplement, 34(4, Pt. 2), 1–97. link ↗Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗
Citi nosaukumipolytomous IRT, ordinal IRT models, graded response models, ordinal latent trait modelsCFA, confirmatory FA, measurement model, restricted factor analysis
Saistītās64
KopsavilkumsOrdinal item response theory (ordinal IRT) comprises a family of probabilistic models — most notably the Graded Response Model and the Partial Credit Model — that relate a respondent's standing on a latent trait to the probability of choosing each ordered response category on a polytomous item. It extends classical IRT beyond dichotomous items to the Likert-type and rating-scale items that dominate psychometric measurement.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.
ScholarGateDatu kopa
  1. v1
  2. 2 Avoti
  3. PUBLISHED
  1. v1
  2. 2 Avoti
  3. PUBLISHED

Doties uz meklēšanu Lejupielādēt slaidus

ScholarGateSalīdzināt metodes: Ordinal IRT · Confirmatory factor analysis. Izgūts 2026-06-19 no https://scholargate.app/lv/compare