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Pregled bibliografske jedinice broj: 270139

Factor Analysis as the Instrument in Relaxing the Assumptions of the Classical Model


Arnerić, Josip; Jurun, Elza; Snježana, Pivac
Factor Analysis as the Instrument in Relaxing the Assumptions of the Classical Model // Proceedings of the 7th WSEAS International Conference on Mathematics & Computers in Business & Economics
Cavtat, Hrvatska, 2006. str. 7-12 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 270139 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Factor Analysis as the Instrument in Relaxing the Assumptions of the Classical Model

Autori
Arnerić, Josip ; Jurun, Elza ; Snježana, Pivac

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 7th WSEAS International Conference on Mathematics & Computers in Business & Economics / - , 2006, 7-12

Skup
WSEAS International Conference on Mathematics & Computers in Business & Economics (7 ; 2006)

Mjesto i datum
Cavtat, Hrvatska, 13.06.2006. - 15.06.2006

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
factor analysis; orthogonal rotation; principal component method; multiple regression analysis; stepwise selection; multicolinearity; direct and indirect effects on dependent variable

Sažetak
This work builds up a complete procedure of using factor analysis as the instrument in the case of relaxing the assumption of the classical model. Paper is focused on the situation when the multicolinearity appears as the dominant problem. This problem is solved by grouping of performance indicators, not only by technical principles, but also according to fundamental postulates of business economic theory. The whole procedure is illustrated by a practical example. The example originates from the real need to analyse and compare the performance of all manufacturing enterprises in the Split-Dalmatian County in 2004. The data set consists of a wide range of performance indicators for 1744 manufacturing enterprises, among which twelve are selected as representative ones. As the entire basic set is the issue of our interest, we find that the enterprises are markedly heterogeneous in terms of the chosen indicators. Therefore previous to comparison they have to be made homogeneous. After such homogenization, using principal components method four factors have been extracted, i.e. all selected variables (performance indicators) have been meaningfully grouped in to factors: activity, liquidity, leverage, economic efficiency. The essential part of analysis is establishing of direct, indirect and overall effects of each independent variable on return on equity as chosen dependent variable.

Izvorni jezik
Engleski

Znanstvena područja
Ekonomija



POVEZANOST RADA


Projekti:
0055011

Ustanove:
Ekonomski fakultet, Split

Profili:

Avatar Url Elza Jurun (autor)

Avatar Url Josip Arnerić (autor)


Citiraj ovu publikaciju:

Arnerić, Josip; Jurun, Elza; Snježana, Pivac
Factor Analysis as the Instrument in Relaxing the Assumptions of the Classical Model // Proceedings of the 7th WSEAS International Conference on Mathematics & Computers in Business & Economics
Cavtat, Hrvatska, 2006. str. 7-12 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Arnerić, J., Jurun, E. & Snježana, P. (2006) Factor Analysis as the Instrument in Relaxing the Assumptions of the Classical Model. U: Proceedings of the 7th WSEAS International Conference on Mathematics & Computers in Business & Economics.
@article{article, author = {Arneri\'{c}, Josip and Jurun, Elza and Snje\v{z}ana, Pivac}, year = {2006}, pages = {7-12}, keywords = {factor analysis, orthogonal rotation, principal component method, multiple regression analysis, stepwise selection, multicolinearity, direct and indirect effects on dependent variable}, title = {Factor Analysis as the Instrument in Relaxing the Assumptions of the Classical Model}, keyword = {factor analysis, orthogonal rotation, principal component method, multiple regression analysis, stepwise selection, multicolinearity, direct and indirect effects on dependent variable}, publisherplace = {Cavtat, Hrvatska} }
@article{article, author = {Arneri\'{c}, Josip and Jurun, Elza and Snje\v{z}ana, Pivac}, year = {2006}, pages = {7-12}, keywords = {factor analysis, orthogonal rotation, principal component method, multiple regression analysis, stepwise selection, multicolinearity, direct and indirect effects on dependent variable}, title = {Factor Analysis as the Instrument in Relaxing the Assumptions of the Classical Model}, keyword = {factor analysis, orthogonal rotation, principal component method, multiple regression analysis, stepwise selection, multicolinearity, direct and indirect effects on dependent variable}, publisherplace = {Cavtat, Hrvatska} }




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