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Modeling relative competence in PISA: a compositional multiple factor analysis approach

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Τίτλος: Modeling relative competence in PISA: a compositional multiple factor analysis approach
Συγγραφείς: Simonacci, ViolettaAff1, IDs1026002500815y_cor1, Cataldo, RosannaAff2, Grassia, Maria GabriellaAff2, Marino, MarinaAff2, Gallo, MicheleAff3
Πηγή: Statistical Methods & Applications: Journal of the Italian Statistical Society. :1-20
Βάση Δεδομένων: Springer Nature Journals
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  – Url: https://dx.doi.org/doi:10.1007/s10260-025-00815-y
    Name: EDS - Springer Nature Journals (s7799221)
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PubType: Academic Journal
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  Data: <i>Statistical Methods & Applications: Journal of the Italian Statistical Society</i>. :1-20
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        Value: 10.1007/s10260-025-00815-y
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      – Text: English
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        PageCount: 20
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      – TitleFull: Modeling relative competence in PISA: a compositional multiple factor analysis approach
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              Type: published
              Y: 2025
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