Pregled bibliografske jedinice broj: 1091255
A simulation study of parcelling in confirmatory factor analysis
A simulation study of parcelling in confirmatory factor analysis // Book of Abstracts of the ISCCRO - International Statistical Conference in Croatia / Žmuk, Berislav ; Čeh Časni, Anita (ur.).
Zagreb: Hrvatsko statističko društvo, 2020. str. 14-14 (predavanje, domaća recenzija, sažetak, znanstveni)
CROSBI ID: 1091255 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
A simulation study of parcelling in confirmatory
factor analysis
Autori
Gusić, Jelena ; Šimić, Diana
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
Book of Abstracts of the ISCCRO - International Statistical Conference in Croatia
/ Žmuk, Berislav ; Čeh Časni, Anita - Zagreb : Hrvatsko statističko društvo, 2020, 14-14
Skup
3rd International Statistical Conference in Croatia (ISCCRO'20)
Mjesto i datum
Zagreb, Hrvatska, 15.10.2020. - 16.10.2020
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Domaća recenzija
Ključne riječi
CFA, parcelling, simulation, SATS36
(CFA, parcelling, simulation, SATS36.)
Sažetak
Parcelling was recommended as a remedy for problems of asymmetric distributions and small sample size in confirmatory factor analysis (CFA). It was also criticized for arbitrary allocation of items to parcels, and lack of interpretability of new items. Research goal was to assess sensitivity of CFA model fit to item- parcel allocation. Two simulation studies were performed. The first one was based on empirical data from the Survey of Attitudes Towards Statistics (SATS36) administered to two generations of students. Data for the second one were simulated using a model of SATS36 structure with parameter estimates taken from literature. Variances of model fit indicators (CFI, TLI, rmsea) were similar in both studies. For empirical data, sizable proportions of simulations did not achieve acceptable fit (CFI, TLI>0.9 for 70% and 42% simulations respectively, 0.05<rmsea<0.09). For simulated data, fit criteria were always met (CFI, TLI>0.90, rmsea<0.055). CFA model fit is sensitive to item allocation.
Izvorni jezik
Engleski
Znanstvena područja
Matematika, Informacijske i komunikacijske znanosti, Obrazovne znanosti (psihologija odgoja i obrazovanja, sociologija obrazovanja, politologija obrazovanja, ekonomika obrazovanja, antropologija obrazovanja, neuroznanost i rano učenje, pedagoške discipline)
POVEZANOST RADA
Ustanove:
Fakultet organizacije i informatike, Varaždin