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master's thesis
Strukturalno modeliranje
Zagreb: University of Zagreb, Faculty of Science, 2018. urn:nbn:hr:217:254232
Krstičević, Marin
University of Zagreb
Faculty of Science
Department of Mathematics

Institutional repository: Repository of the Faculty of Science

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Krstičević, M. (2018). Strukturalno modeliranje (Master's thesis). Zagreb: University of Zagreb, Faculty of Science. Retrieved from https://urn.nsk.hr/urn:nbn:hr:217:254232

Krstičević, Marin. "Strukturalno modeliranje." Master's thesis, University of Zagreb, Faculty of Science, 2018. https://urn.nsk.hr/urn:nbn:hr:217:254232

Krstičević, Marin. "Strukturalno modeliranje." Master's thesis, University of Zagreb, Faculty of Science, 2018. https://urn.nsk.hr/urn:nbn:hr:217:254232

Krstičević, M. (2018). 'Strukturalno modeliranje', Master's thesis, University of Zagreb, Faculty of Science, accessed 03 November 2024, https://urn.nsk.hr/urn:nbn:hr:217:254232

Krstičević M. Strukturalno modeliranje [Master's thesis]. Zagreb: University of Zagreb, Faculty of Science; 2018 [cited 2024 November 03] Available at: https://urn.nsk.hr/urn:nbn:hr:217:254232

M. Krstičević, "Strukturalno modeliranje", Master's thesis, University of Zagreb, Faculty of Science, Zagreb, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:217:254232

Metadata
TitleStrukturalno modeliranje
AuthorMarin Krstičević
MentorAnamarija Jazbec (mentor)
Committee memberAnamarija Jazbec (predsjednik povjerenstva)
Committee memberBojan Basrak (član povjerenstva)
Committee memberNikola Sandrić (član povjerenstva)
Committee memberBoris Širola (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Science
(Department of Mathematics)
Zagreb
Defense date and country2018-09-26, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Mathematics
Abstract
Strukturalno modeliranje (eng. Structural equation modeling) je multivarijatna metoda statističke analize koja se koristi za analizu strukturiranih odnosa generiranih između izmjerenih varijabli i latentnih konstrukata. Pozadinu strukturalnog modeliranja čine faktorska i višestruka regresijska analiza te analiza putanje. U ovom radu je opisana navedena metoda i obrađen primjer strukturalnog modeliranja. Za evaluaciju korištenih modela koristimo rezultate PISA istraživanja provedenog 2009. godine na učenicima iz Hrvatske. U sklopu obrađenog primjera strukturalnog modeliranja analiziramo veze između latentnih konstrukata samokontrole tijekom čitanja, korištenja tehnologije za čitanje i stava prema čitanju te ispitujemo njihov utjecaj na rezultate testova čitanja. Evaluacijom adekvatnosti triju modela definiran je najpogodniji model za obradu navedenih podataka. Samokontrola tijekom čitanja ima neizravan utjecaj na ostvarene rezultate u čitanju kroz korištenje tehnologije za čitanje i stav prema čitanju. Preostali evaluirani latentni konstrukti utječu izravno na ostvarene rezultate testova čitanja. Rezultati analize pokazuju da postoji korelacija između samokontrole tijekom čitanja i korištenja tehnologije za čitanje kao i korelacija između samokontrole tijekom čitanja i stava prema čitanju.
Abstract (english)
Structural equation modeling is a multivariate statistical analysis method used to analyze structured relationships generated between measured variables and latent constructs. The basis of structural equation modeling is consisted of factor analysis, multiple regression and path analysis. This thesis outlines the method and evaluates a structural equation modeling example. The results of the PISA 2009 survey conducted on Croatian students are used for the evaluation of models. Within the evaluated example, we analyze the relationships between latent constructs of self-control during reading, using technology for reading and reading attitude, in addition to examining their impact on reading test results. The best-fit model for processing the mentioned data is defined through the model-fit evaluation of three models. Self-control during reading has an indirect impact on reading results by using technology for reading and reading attitude. The remaining evaluated latent constructs directly affect reading test results. The results of the analysis reveal a correlation between self-control during reading and using technology for reading as well as a correlation between self-control during reading and reading attitude.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:217:254232
Study programmeTitle: Mathematical Statistics
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra matematike (magistar/magistra matematike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2019-05-30 10:42:18