This LiDA Dataverse catalogue contains humanities and social sciences (HSS) data from research projects of Lithuanian science and higher education institutions. Each institution may also be given access to publish their other HSS data. About the possibility to publish data in this catalogue contact us by e-mail data@ktu.lt.


Šiame LiDA Dataverse kataloge publikuojami Lietuvos aukštojo mokslo ir studijų institucijų humanitarinių ir socialinių mokslų (HSM) srities tyrimų projektų duomenys. Kiekvienai institucijai taip pat gali būti suteikta vieta publikuoti ir kitus HSM duomenis. Dėl galimybės publikuoti duomenis šiame kataloge kreipkitės el. paštu data@ktu.lt.

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271 to 280 of 1,369 Results
Adobe PDF - 1.8 MB - MD5: 86bb6f179a0aa09a76f77e749fc9e2d2
Documentation
Kodavimo knyga = Codebook
Gzip Archive - 5.6 MB - MD5: d27fcfa1dd1907e70fdb6090a6348b9a
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.
Gzip Archive - 164.5 KB - MD5: df3eaf7fb1e3f59031e865d5bdb2499e
Code
Software = Programinė įranga
Gzip Archive - 69.7 KB - MD5: a565829f1473b2988c890fcc9e779dde
Supplementary documentation
LiDA internal documents related to the published software, to which access is not provided = LiDA vidiniai dokumentai, susiję su publikuota programine įranga, prie kurių prieiga nesuteikiama.
Plain Text - 3.7 KB - MD5: 501106b2e5098306c6b022705a4be111
Documentation
Description of the software and instruction how to use it = Programinės įrangos aprašas ir naudojimo instrukcija
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...
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