Nonequivalent groups with anchor test (NEAT) design is typically preferred in test score equating, but there are tests which do not administer an anchor test. If the groups are nonequivalent, an equivalent groups (EG) design cannot be recommended. Instead, one can use a nonequivalent groups with covariates (NEC) design. The overall aim of this work was to propose the use of item response theory (IRT) with a NEC design by incorporating the mixed-measurement IRT with covariates model within IRT observed-score equating in order to model both test scores and covariates. Both simulations and a real test example are used to examine the proposed test equating method in comparison with traditional IRT observed-score equating methods with an EG design and a NEAT design. The results show that the proposed method can be used in practice, and the simulations show that the standard errors of the equating are lower with the proposed method as compared with traditional methods.

IRT Observed-Score Equating with the Nonequivalent Groups with Covariates Design

SANSIVIERI, VALENTINA;
2017

Abstract

Nonequivalent groups with anchor test (NEAT) design is typically preferred in test score equating, but there are tests which do not administer an anchor test. If the groups are nonequivalent, an equivalent groups (EG) design cannot be recommended. Instead, one can use a nonequivalent groups with covariates (NEC) design. The overall aim of this work was to propose the use of item response theory (IRT) with a NEC design by incorporating the mixed-measurement IRT with covariates model within IRT observed-score equating in order to model both test scores and covariates. Both simulations and a real test example are used to examine the proposed test equating method in comparison with traditional IRT observed-score equating methods with an EG design and a NEAT design. The results show that the proposed method can be used in practice, and the simulations show that the standard errors of the equating are lower with the proposed method as compared with traditional methods.
Quantitative Psychology. The 81st Annual Meeting of the Psychometric Society, Asheville, North Carolina, 2016
275
285
Sansivieri, V.; Wiberg, M.
File in questo prodotto:
Eventuali allegati, non sono esposti

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11585/600355
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 4
  • ???jsp.display-item.citation.isi??? ND
social impact