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Pregled bibliografske jedinice broj: 378846

Investigation of Preliminary Student Test Performance Data Using the ANOM Statistical Tool ans Mixed Model Analysis

Habus-Korbar, Anja; Lužar-Stiffler, Vesna; Bazdan, Vanda
Investigation of Preliminary Student Test Performance Data Using the ANOM Statistical Tool ans Mixed Model Analysis // CIT. Journal of computing and information technology, 16 (2008), 4; 287-294 doi:10.2498/cit.1001396 (podatak o recenziji nije dostupan, članak, znanstveni)

CROSBI ID: 378846 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Investigation of Preliminary Student Test Performance Data Using the ANOM Statistical Tool ans Mixed Model Analysis

Autori
Habus-Korbar, Anja ; Lužar-Stiffler, Vesna ; Bazdan, Vanda

Izvornik
CIT. Journal of computing and information technology (1330-1136) 16 (2008), 4; 287-294

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
national Assessment ; analysis of means ; ANOM ; mixed models ; Shewhart procedure ; mathematics scores

Sažetak
The goal of this paper is to demonstrate the analytical use of a statistical tool ANOM (more commonly used by quality control engineers), mixed model analysis and other statistical tools (used in social sciences) to investigate differences found in Croatian high school student performance in mathematics examinations, recently developed as part of the National Assessment project.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA

Projekti:
067-0362980-2484 - Sustavi za upravljanje informacijama, procesima i znanjem (Bosilj Vukšić, Vesna, MZOS ) ( CroRIS)

Ustanove:
Ekonomski institut, Zagreb

Profili:

Avatar Url Vanda Bazdan (autor)

Avatar Url Anja Oberiter Korbar (autor)

Avatar Url Vesna Lužar (autor)

Poveznice na cjeloviti tekst rada:

doi hrcak.srce.hr doi.org hrcak.srce.hr

Citiraj ovu publikaciju:

Habus-Korbar, Anja; Lužar-Stiffler, Vesna; Bazdan, Vanda
Investigation of Preliminary Student Test Performance Data Using the ANOM Statistical Tool ans Mixed Model Analysis // CIT. Journal of computing and information technology, 16 (2008), 4; 287-294 doi:10.2498/cit.1001396 (podatak o recenziji nije dostupan, članak, znanstveni)
Habus-Korbar, A., Lužar-Stiffler, V. & Bazdan, V. (2008) Investigation of Preliminary Student Test Performance Data Using the ANOM Statistical Tool ans Mixed Model Analysis. CIT. Journal of computing and information technology, 16 (4), 287-294 doi:10.2498/cit.1001396.
@article{article, author = {Habus-Korbar, Anja and Lu\v{z}ar-Stiffler, Vesna and Bazdan, Vanda}, year = {2008}, pages = {287-294}, DOI = {10.2498/cit.1001396}, keywords = {national Assessment, analysis of means, ANOM, mixed models, Shewhart procedure, mathematics scores}, journal = {CIT. Journal of computing and information technology}, doi = {10.2498/cit.1001396}, volume = {16}, number = {4}, issn = {1330-1136}, title = {Investigation of Preliminary Student Test Performance Data Using the ANOM Statistical Tool ans Mixed Model Analysis}, keyword = {national Assessment, analysis of means, ANOM, mixed models, Shewhart procedure, mathematics scores} }
@article{article, author = {Habus-Korbar, Anja and Lu\v{z}ar-Stiffler, Vesna and Bazdan, Vanda}, year = {2008}, pages = {287-294}, DOI = {10.2498/cit.1001396}, keywords = {national Assessment, analysis of means, ANOM, mixed models, Shewhart procedure, mathematics scores}, journal = {CIT. Journal of computing and information technology}, doi = {10.2498/cit.1001396}, volume = {16}, number = {4}, issn = {1330-1136}, title = {Investigation of Preliminary Student Test Performance Data Using the ANOM Statistical Tool ans Mixed Model Analysis}, keyword = {national Assessment, analysis of means, ANOM, mixed models, Shewhart procedure, mathematics scores} }

Časopis indeksira:


  • Scopus

Uključenost u ostale bibliografske baze podataka::


  • INSPEC
  • LISA: Library and Information Science Abstracts
  • Zentrallblatt für Mathematik/Mathematical Abstracts
  • CIS Current Index to Statistics
  • Compuscience Database on STN International and Internet
  • Computer Science Index
  • CrossRef
  • DOAJ
  • EBSCO
  • PILA

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