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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371 to 380 of 1,719 Results
LiDA_AggregatedData_0542_Codebook_v1.pdf
LiDA_AggregatedData_0542_Codebook_v1.pdf
Aug 9, 2023 - NO-GAP: Student-Level Data: Cohort of 8th-Grade Students of the School Year 2021-2022
Adobe PDF - 495.0 KB - MD5: 94be6bab1c2a29d21bff81dd92c51aed
Documentation
Kodavimo knyga = Codebook
LiDA_AggregatedData_0542_Data_v1.tab
Aug 9, 2023 - NO-GAP: Student-Level Data: Cohort of 8th-Grade Students of the School Year 2021-2022
Tabular Data - 9.8 MB - 81 Variables, 27097 Observations - UNF:6:jnU5/Cqi39/deN/o0mOQbg==
DataEvent
Duomenys = Data
LiDA_AggregatedData_0542_Internal_documents_v1.tar.gz
Aug 9, 2023 - NO-GAP: Student-Level Data: Cohort of 8th-Grade Students of the School Year 2021-2022
Gzip Archive - 39.1 KB - MD5: 79786ae91933c8b5806424cf6c2b53ea
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.
NO-GAP: School-Level Data: Cohort of 8th-Grade Students of the School Year 2021-2022
NO-GAP: School-Level Data: Cohort of 8th-Grade Students of the School Year 2021-2022
Aug 9, 2023 - Educational Statistics Data = Švietimo statistikos duomenys
Erentaitė, Rasa; Sevalneva, Daiva; Vosylis, Rimantas; Melnikė, Eglė; Morkevičius, Vaidas; Simonaitienė, Berita; Žvaliauskas, Giedrius, 2023, "NO-GAP: School-Level Data: Cohort of 8th-Grade Students of the School Year 2021-2022", https://hdl.handle.net/21.12137/U2HQOP, Lithuanian Data Archive for SSH (LiDA), V1, UNF:6:8gVLBXXAtyKWvKAbBoRApQ== [fileUNF]
This dataset covers anonymised school-level population data on students enrolled in grade 8 during the school year 2021-2022, including historical data for this student cohort. The NO-GAP research team was provided with school-level primary population data by the National Agency...
LiDA_AggregatedData_0543_Archive_v1.tar.gz
Aug 9, 2023 - NO-GAP: School-Level Data: Cohort of 8th-Grade Students of the School Year 2021-2022
Gzip Archive - 810 B - MD5: 8a9fda4833fb0899417eb5185106a5fb
LiDA_AggregatedData_0543_Codebook_v1.pdf
LiDA_AggregatedData_0543_Codebook_v1.pdf
Aug 9, 2023 - NO-GAP: School-Level Data: Cohort of 8th-Grade Students of the School Year 2021-2022
Adobe PDF - 495.0 KB - MD5: 94be6bab1c2a29d21bff81dd92c51aed
Documentation
Kodavimo knyga = Codebook
LiDA_AggregatedData_0543_Data_v1.tab
Aug 9, 2023 - NO-GAP: School-Level Data: Cohort of 8th-Grade Students of the School Year 2021-2022
Tabular Data - 2.2 MB - 603 Variables, 772 Observations - UNF:6:8gVLBXXAtyKWvKAbBoRApQ==
DataEvent
Duomenys = Data
LiDA_AggregatedData_0543_Internal_documents_v1.tar.gz
Aug 9, 2023 - NO-GAP: School-Level Data: Cohort of 8th-Grade Students of the School Year 2021-2022
Gzip Archive - 39.1 KB - MD5: e6788d614f65b481e7a99b06a440b34e
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.
LiDA_SurveyData_0529_Archive_v1.tar.gz
Aug 1, 2023 - NSSA 2016: 6th Grade Students Study, 2016
Gzip Archive - 461.5 KB - MD5: c434eb7419bb57bdc85848b886bededc
Original dataPre-processing syntax
Duomenų depozitoriaus pateikti originalūs duomenys, pirminio apdorojimo SPSS sintaksės failai bei išvestinių kintamųjų sintaksės failai R ir Mplus formatu. Jei norite gauti depozitoriaus perduotą tyrimo duomenų failą, ankstesnes duomenų failų versijas SPSS formatu arba pirminio a...
LiDA_SurveyData_0529_Data_v1.tab
Aug 1, 2023 - NSSA 2016: 6th Grade Students Study, 2016
Tabular Data - 5.8 MB - 712 Variables, 2710 Observations - UNF:6:0QLSi5XORbSbjCrM6Bj/sw==
DataSurvey
LiDA sutvarkyti duomenys: pakeisti kintamųjų vardai; pakeisti kintamųjų pavadinimai; pakeisti kintamųjų žymų pavadinimai; sutvarkytas trūkstamų reikšmių žymėjimas; sukurti išvestiniai kintamieji; sukurti nauji organizaciniai kintamieji. LiDA duomenų apdorojimas atliktas naudojant...
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