NO-GAP: School-Level Data: Cohort of 8th-Grade Students of the School Year 2021-2022

Version 1.1
NO-GAP: School-Level Data: Cohort of 8th-Grade Students of the School Year 2021-2022
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]
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Description
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 for Education (NAE) from the Education Information Management System (EMIS) database. This database contains the data that is needed by education stakeholders to analyse and assess the state of education in various aspects, forecast educational change, make data-driven decisions, and manage education for quality.

The primary data provided by the NAE was cleaned, additionally coded to prevent reidentification, and merged into a single data file by the NO-GAP research team. In addition, the team prepared the codebook "NO-GAP Codebook. School and Student Level Variables: 2021-2022 Cohort of 8th-Grade Students".

Dataset "NO-GAP: School-Level Data: Cohort of 8th Graders of the School Year 2021-2022" metadata and data were prepared implementing project "Disparities in School Achievement from a Person and Variable-Oriented Perspective: A Prototype of a Learning Analytics Tool NO-GAP" from 2020 to 2023. Project leader is chief research fellow Rasa Erentaitė. Project is funded by the European Regional Development Fund according to the 2014–2020 Operational Programme for the European Union Funds’ Investments, under measure’s No. 01.2.2-LMT-K-718 activity “Research Projects Implemented by World-class Researcher Groups to develop R&D activities relevant to economic sectors, which could later be commercialized” under a grant agreement with the Lithuanian Research Council (LMTLT).

These data are not open for external use based on the agreement with NAE.

Subject Social Sciences
Keyword educational assessment, quality of education, educational measurements, schoolchildren, teachers, schools
Notes The main language of the data is Lithuanian (lit).
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Kodavimo knyga = Codebook
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603 Variables, 772 Observations UNF:6:8gVLBXXAtyKWvKAbBoRApQ==
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Duomenys yra prieinami LiDA Dataverse talpyklos vartotojams pagal „Creative Commons“ 4.0 priskyrimo ir analogiško platinimo tarptautinės viešosios licencijos (CC BY-SA 4.0) sąlygas, jei nenumatyta kitaip. Jei norima naudoti kitaip licencijuojamus duomenis, reikia kreiptis dėl galimybės naudotis konkrečiais duomenimis (raštu ar el. paštu: data@ktu.lt). Nepriklausomai nuo prieigos prie duomenų apribojimų, visi norintieji gali peržiūrėti ir naudoti visų LiDA Dataverse talpykloje saugomų duomenų aprašus (metaduomenis, įskaitant lauko darbų vykdymo medžiagą, tyrimo instrumentus bei kitą su duomenų surinkimu susijusią informaciją) ir kitą informaciją pagal „Creative Commons“ 4.0 priskyrimo ir analogiško platinimo tarptautinę viešąją licenciją (CC BY-SA 4.0).

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Vartotojai įsipareigoja neperduoti LiDA saugomų duomenų, prie kurių jiems suteikiama prieiga, trečiosioms šalims.
Publications based on the data or other resources curated by the LiDA should acknowledge this by a reference to LiDA. To ensure that such attributions are captured by social science bibliographic utilities, citations must appear in the footnotes or in the reference section of publications.
Publikacijose, parengtose LiDA saugomų duomenų išteklių pagrindu, turi būti nuoroda į LiDA išnašose ar literatūros sąraše į naudojamus išteklius. Šiuo reikalavimu siekiama, kad nuoroda į LiDA patektų į socialinių mokslų citavimo indeksus.
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Lietuvos humanitarinių ir socialinių mokslų duomenų archyvas (LiDA) neatsako už trečiųjų asmenų (institucijų) išvadas ir interpretacijas gautas naudojant LiDA saugomus duomenis. LiDA neatsako už netiesioginę, atsitiktinę, ar kitokią žalą, ar nuostolius, atsiradusius naudojant LiDA saugomus duomenis, arba negalint jų pasiekti, arba dėl nesankcionuoto jų panaudojimo įsilaužus į sistemą.
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