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Pregled bibliografske jedinice broj: 317590

Analysis of Hoge Religious Motivation Scale by Means of Combined HAC and PCA Methods


Štambuk, Ana; Štambuk, Nikola; Konjevoda, Paško
Analysis of Hoge Religious Motivation Scale by Means of Combined HAC and PCA Methods // Proceedings of the 29th International Conference on Information Technology Interfaces (ITI 2007) / Luzar Stiffler, Vesna ; Hljuz Dobrić, Vesna (ur.).
Zagreb: Sveučilišni računski centar Sveučilišta u Zagrebu (Srce), 2007. str. 197-201 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 317590 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Analysis of Hoge Religious Motivation Scale by Means of Combined HAC and PCA Methods

Autori
Štambuk, Ana ; Štambuk, Nikola ; Konjevoda, Paško

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

Izvornik
Proceedings of the 29th International Conference on Information Technology Interfaces (ITI 2007) / Luzar Stiffler, Vesna ; Hljuz Dobrić, Vesna - Zagreb : Sveučilišni računski centar Sveučilišta u Zagrebu (Srce), 2007, 197-201

ISBN
953-7138-10-0

Skup
International Conference on Information Technology Interfaces (29 ; 2007)

Mjesto i datum
Cavtat, Hrvatska, 25.06.2007. - 28.06.2007

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
clustering; agglomerative; hierarchical; component; extraction

Sažetak
We used a method of combined hierarchical agglomerative clustering (HAC) and principal components analysis (PCA) to validate Hoge intrinsic religious motivation scale and investigate if this consensus procedure provides an efficient technique for the component extraction. Our results confirm the validity of the procedure and suggest that it may be useful exploratory technique for the data analysis in social sciences.

Izvorni jezik
Engleski

Znanstvena područja
Temeljne medicinske znanosti, Informacijske i komunikacijske znanosti, Socijalne djelatnosti



POVEZANOST RADA


Projekti:
066-0661686-1433 - Funkcioniranje i osnaživanje obitelji u rizičnim uvjetima u Republici Hrvatskoj (Blažeka Kokorić, Slavica, MZOS ) ( CroRIS)
098-0982929-2524 - Modeliranje bioaktivnih molekula i ispitivanje njihovih svojstava i učinka (Štambuk, Nikola, MZOS ) ( CroRIS)

Ustanove:
Pravni fakultet, Zagreb,
Institut "Ruđer Bošković", Zagreb

Profili:

Avatar Url Paško Konjevoda (autor)

Avatar Url Nikola Štambuk (autor)

Avatar Url Ana Štambuk (autor)


Citiraj ovu publikaciju:

Štambuk, Ana; Štambuk, Nikola; Konjevoda, Paško
Analysis of Hoge Religious Motivation Scale by Means of Combined HAC and PCA Methods // Proceedings of the 29th International Conference on Information Technology Interfaces (ITI 2007) / Luzar Stiffler, Vesna ; Hljuz Dobrić, Vesna (ur.).
Zagreb: Sveučilišni računski centar Sveučilišta u Zagrebu (Srce), 2007. str. 197-201 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Štambuk, A., Štambuk, N. & Konjevoda, P. (2007) Analysis of Hoge Religious Motivation Scale by Means of Combined HAC and PCA Methods. U: Luzar Stiffler, V. & Hljuz Dobrić, V. (ur.)Proceedings of the 29th International Conference on Information Technology Interfaces (ITI 2007).
@article{article, author = {\v{S}tambuk, Ana and \v{S}tambuk, Nikola and Konjevoda, Pa\v{s}ko}, year = {2007}, pages = {197-201}, keywords = {clustering, agglomerative, hierarchical, component, extraction}, isbn = {953-7138-10-0}, title = {Analysis of Hoge Religious Motivation Scale by Means of Combined HAC and PCA Methods}, keyword = {clustering, agglomerative, hierarchical, component, extraction}, publisher = {Sveu\v{c}ili\v{s}ni ra\v{c}unski centar Sveu\v{c}ili\v{s}ta u Zagrebu (Srce)}, publisherplace = {Cavtat, Hrvatska} }
@article{article, author = {\v{S}tambuk, Ana and \v{S}tambuk, Nikola and Konjevoda, Pa\v{s}ko}, year = {2007}, pages = {197-201}, keywords = {clustering, agglomerative, hierarchical, component, extraction}, isbn = {953-7138-10-0}, title = {Analysis of Hoge Religious Motivation Scale by Means of Combined HAC and PCA Methods}, keyword = {clustering, agglomerative, hierarchical, component, extraction}, publisher = {Sveu\v{c}ili\v{s}ni ra\v{c}unski centar Sveu\v{c}ili\v{s}ta u Zagrebu (Srce)}, publisherplace = {Cavtat, Hrvatska} }




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