Robustna alternativa standarnemu postopku testa veljavnosti (CROSBI ID 249644)
Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Bosnar, Ksenija ; Prot, Franjo
engleski
Robustna alternativa standarnemu postopku testa veljavnosti
The usual approach to criterion-related validity is developed under the canonical correlation model and is based on the maximization of the correlation of test results and the chosen criteria. The standard measures of validity are canonical correlation in the case of several test results and criteria, multiple correlation in the case of several test results and one criterion, and bivariate correlation in the case of one test and one criterion. In kinesiology, as well as some other disciplines, standard measures of validity are not always appropriate, being sensitive of the value of degrees of freedom. Therefore, the measures of validity based on the maximization of covariance of test results and chosen criteria proposed by Momirović et al. (1983), including robust canonical correlation analysis, robust regression analysis, robust discriminant analysis and redundancy analysis, may be more appropriate. The example in favor of this method of validation is presented.
veljavnost ; robustne metode ; kvazi kanonična analiza
Pristop določanja kriterijske veljavnosti v modelu kanonične korelacijske analize temelji na maksimizaciji korelacije rezultatov testa in zbranih meril. Standardna mera veljavnosti v primeru več testov z več kriteriji je kanonična korelacija, v primeru enega kriterija je mera veljavnosti multipla korelacija, bivariatna korelacija pa je mera veljavnosti v primeru enega prediktorja in enega kriterija. Kot v drugih vedah, tudi v kineziologiji standardna mera veljavnosti zaradi občutljivosti števila stopenj prostosti ni vedno primerna. Zato so mere veljavnosti, zasnovane na maksimizaciji kovarianc med rezultati testa in kriteriji, ki jih je predlagal Momirović s sodelavci (1983) in vključujejo robustne kvazikanonične analize kovariance, robustno regresijsko analizo, robustno deskriminantno analizo in analizo prepokrivanja mogoče primernejše. Predstavljen je primer v potrditev opisane metodologije.
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano