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NO-GAP: Prototype of Educational Analytics Tool NO-GAP = NO-GAP: Mokinių pasiekimų analitikos įrankio NO-GAP prototipas logo
Sep 21, 2023The Project Disparities in School Achievement from a Person and Variable-Oriented Perspective (2020-2023) = Projektas Akademinių pasiekimų netolygumai į asmenį ir į kintamąjį orientuotu požiūriu (2020-2023 m.)
Dataverse collection "NO-GAP: Prototype of Educational Analytics Tool NO-GAP" contains open access code for the prototype of an analytical tool dedicated to monitoring and analyzing disparities in students‘ academic achievement at a school, municipal and national level. The code...
NO-GAP: Population-Level Educational Data = NO-GAP: Populiaciniai švietimo duomenys(Kaunas University of Technology = Kauno technologijos universitetas)
NO-GAP: Population-Level Educational Data = NO-GAP: Populiaciniai švietimo duomenys logo
Sep 20, 2023The Project Disparities in School Achievement from a Person and Variable-Oriented Perspective (2020-2023) = Projektas Akademinių pasiekimų netolygumai į asmenį ir į kintamąjį orientuotu požiūriu (2020-2023 m.)
Dataverse collection "NO-GAP: Population-Level Educational Data" contains anonymised data on two cohorts of students enrolled in the eighth grade during the school year 2020-2021 and 2021-2022, including the historical data for these student cohorts starting from the fourth grade...
NO-GAP: Survey Data with Derivative Variables = NO-GAP: Apklausų duomenys su išvestiniais kintamaisiais(Kaunas University of Technology = Kauno technologijos universitetas)
NO-GAP: Survey Data with Derivative Variables = NO-GAP: Apklausų duomenys su išvestiniais kintamaisiais logo
Sep 6, 2023The Project Disparities in School Achievement from a Person and Variable-Oriented Perspective (2020-2023) = Projektas Akademinių pasiekimų netolygumai į asmenį ir į kintamąjį orientuotu požiūriu (2020-2023 m.)
Dataverse collection "NO-GAP: Survey Data with Derivative Variables" contains datasets, which expand the analytical possibilities of the National Surveys of Student Achievement (NSSA) data, by providing a set of derivative variables for the analyses of student achievement in the...
Gzip Archive - 32.1 KB - MD5: fe44ed24e1d5536ad9162e685bc66c4e
Original dataPre-processing syntax
Duomenų depozitoriaus pateikti originalūs duomenys, ankstesnės duomenų versijos ir pirminio apdorojimo SPSS sintaksės failai. Jei norite gauti depozitoriaus perduotą tyrimo duomenų failą, ankstesnes duomenų failų versijas SPSS formatu arba pirminio apdorojimo SPSS komandų sintaks...
Tabular Data - 114.5 KB - 352 Variables, 144 Observations - UNF:6:ow1360mHs8+YEOCYc5beHQ==
DataSurvey
Gzip Archive - 4.4 MB - MD5: 5217d5f610e65c77632bb10da75abe75
Supplementary documentation
LiDA vidiniai dokumentai, susiję su publikuotu duomenų rinkiniu, prie kurių prieiga nesuteikiama = LiDA internal documents related to the published dataset, to which access is not provided.
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