Naslov
Advantages and limitations of Linear Canonical Correlation Analysis (LCCA)

Autori
Opić, Siniša

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, ostalo

Izvornik
ICERI2019 Proceedings / Gómez Chova, L ; Lopez Martínez, A ; Candel Torres. I. - : IATEDDA, 2019, 6332-6338

ISBN
978-84-09-14755-7

Skup
12th annual International Conference of Education, Research and Innovation (ICERI2019)

Mjesto i datum
Sevilla, Španjolska, 11.11.2019. - 13.11.2019

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Linear canonical correlation analysis, canonical loads and standardized canonical coefficient

Sažetak
Linear canonical correlation analysis (LCCA) is a multivariate parametric test that determines the relationship between two sets of variables. In educational sciences LCCA is very useful because it enables the determination of latent new variables (canonical variates), i.e., models through canonical correlations functions. The paper deals with limitations in using LCCA, such as: sample size, linearity and normal distribution. A model of two sets of manifest variables that is determined with two canonical functions is presented through a research example carried out in the field of Educational Sciences, area of Social Sciences. The values of canonical loads and standardized canonical coefficients are interpreted with respect to certain variations in the model and certain raw data restrictions in correlation, i.e., linear models. The values in the linear algebra, such as eigenvalues, are also elaborated. Problem of non-interpretability of canonical function, i.e. latent canonical factors (variates) from 2 sets of variables is also discussed.

Izvorni jezik
Engleski

Znanstvena područja
Pedagogija, Obrazovne znanosti (psihologija odgoja i obrazovanja, sociologija obrazovanja, politologija obrazovanja, ekonomika obrazovanja, antropologija obrazovanja, neuroznanost i rano učenje, pedagoške discipline)

Napomena
Elsevier Biliographic Databases (SCOPUS),

POVEZANOST RADA