Pregled bibliografske jedinice broj: 575883
Comparison of Rasch Model and One Parameter Logistic Model on Croatian National Assessment Data
Comparison of Rasch Model and One Parameter Logistic Model on Croatian National Assessment Data // The 7th Conference of the International Test Commission "Challenges and Opportunities in Testing and Assessment in a Globalized Economy" : Programme Book ; Abstracts in: Testing International 23 (2010) p. 11-11 / Bogg, Jan (ur.).
Hong Kong, Kina: International Test Commission, 2010. str. 122-122 (poster, međunarodna recenzija, sažetak, znanstveni)
CROSBI ID: 575883 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Comparison of Rasch Model and One Parameter Logistic Model on Croatian National Assessment Data
Autori
Ćurković, Natalija ; Šabić, Josip ; Buljan Culej, Jasminka
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
The 7th Conference of the International Test Commission "Challenges and Opportunities in Testing and Assessment in a Globalized Economy" : Programme Book ; Abstracts in: Testing International 23 (2010) p. 11-11
/ Bogg, Jan - : International Test Commission, 2010, 122-122
Skup
Conference of the International Test Commission "Challenges and Opportunities in Testing and Assessment in a Globalized Economy" (7 ; 2010)
Mjesto i datum
Hong Kong, Kina, 19.07.2010. - 21.07.2010
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Rasch model; One Parameter Logistic model; comparison
Sažetak
In the international project “Development of Instruments in Croatian National Assessment” Croatian National Centre for External Evaluation of Education (NCEEE) cooperated with Institute for Educational Measurement, Netherlands (CITO). In analysis of Mathematics data One Parameter Logistic Model (OPLM) was applied. OPLM is a model where difficulty parameters are estimated and discrimination indices are imputed as known constants, which is an extension of the Rasch model. The aim of this paper is to compare two different IRT models: Rasch model and OPLM in the terms of fitting statistics and ability distributions. The goodness-of-fit of an item set with the OPLM is investigated with five goodness- of-fit statistics. Results of 1229 gymnasium students on three Mathematics domains were used for the purpose of this research. OPLM software were used in the analysis of results (Verhelst, Glas & Verstralen, 2005) was used. Estimation through Conditional Maximum Likelihood method showed superiority of OPLM in compare to Rasch model for the data that were used. When using OPLM, it is possible to find a model that will have better fitting statistics than Rasch model. OPLM combines attractive mathematical properties of the Rasch model with the flexibility of the two-parameter model.
Izvorni jezik
Engleski
Znanstvena područja
Psihologija, Pedagogija
POVEZANOST RADA
Ustanove:
Nacionalni centar
