Analysis of Student Achievement in School Activities: Experiences of School Leaders, November - December 2024 (hdl:21.12137/L8LPWI)

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Part 1: Document Description
Part 2: Study Description
Part 3: Data Files Description
Part 4: Variable Description
Part 5: Other Study-Related Materials
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Analysis of Student Achievement in School Activities: Experiences of School Leaders, November - December 2024

hdl:21.12137/L8LPWI

Lithuanian Data Archive for SSH (LiDA)

2025-06-25

1

Erentaitė, Rasa; Lašas, Ainius; Morkevičius, Vaidas; Simonaitienė, Berita; Vosylis, Rimantas; Žvaliauskas, Giedrius, 2025, "Analysis of Student Achievement in School Activities: Experiences of School Leaders, November - December 2024", https://hdl.handle.net/21.12137/L8LPWI, Lithuanian Data Archive for SSH (LiDA), V1, UNF:6:YZMVgrQPj09Gg8MsveYMUw== [fileUNF]

Analysis of Student Achievement in School Activities: Experiences of School Leaders, November - December 2024

hdl:21.12137/L8LPWI

LiDA_SurveyData_0565

Erentaitė, Rasa (Research Group – Educational Research, Faculty of Social Sciences, Arts and Humanities, Kaunas University of Technology, Lithuania [Project Leader])

Lašas, Ainius (Research Group – Civil Society and Sustainability, Faculty of Social Sciences, Arts and Humanities, Kaunas University of Technology, Lithuania [Project Member])

Morkevičius, Vaidas (Research Group – Civil Society and Sustainability, Faculty of Social Sciences, Arts and Humanities, Kaunas University of Technology, Lithuania [Project Member])

Simonaitienė, Berita (Research Group – Educational Research, Faculty of Social Sciences, Arts and Humanities, Kaunas University of Technology, Lithuania [Project Member])

Vosylis, Rimantas (Faculty of Social Sciences, Arts and Humanities, Kaunas University of Technology, Lithuania [Project Member; Data curation])

Žvaliauskas, Giedrius (Research Group – Civil Society and Sustainability, Faculty of Social Sciences, Arts and Humanities, Kaunas University of Technology, Lithuania [Project Member Member; Data curation])

2024-12-08

SPSS

02-019-K-0027

Lithuanian Data Archive for SSH (LiDA)

Lithuanian Data Archive for Social Sciences and Humanities

Center for Data Analysis and Archiving (DAtA)

Erentaitė, Rasa (Research Group – Educational Research, Faculty of Social Sciences, Arts and Humanities, Kaunas University of Technology, Lithuania [ORCID: 0000-0001-7006-637X])

2025-05-30

2025-06-25

Education, Science and Technology

Dataverse collection “Education, Science and Technology” contains survey data that allow to study Lithuanian public opinion about priorities, implementation and outputs of education, science and technology policy.

https://hdl.handle.net/21.12137/L8LPWI

Social Sciences, academic achievement, educational assessment, technological literacy, data analysis, educational administration

Higher and further education

<b><i>The purpose of the study</i></b>: to investigate the opinions of school leaders (principals or vice-principals) in Lithuanian general education schools regarding the analysis of student achievement and its significance in school work. <br> <b><i>Major investigated questions</i></b>: first, respondents were asked how often there is a need to analyse aggregated data on students’ achievements and who in the school is responsible for aggregating and analysing such data. They were asked about the purposes for which the school management analyses and aggregates student achievement data and which data are used to analyse student achievement. It was further asked to indicate which databases or systems and data analysis tools are used to analyse students’ achievement and what types of data analysis would be relevant for the school. The first two blocks of questions assessed how leaders view their own competences (i.e. self-efficacy). In the first block, respondents assessed their own capacity by finding aggregated results of national assessments for their school and by using national achievement data systems (I know where and how to get the results of the national assessments for my school; I know what data and reports I need to get to understand the situation of my school's students achievements; total 7). The second is to understand students’ achievement reports and to use achievement data to make data-driven decisions (I can understand the student’s achievement reports produced or generated for my school; I can understand the level of achievement of my school's students from the scores given in the national assessments; 9 in total). The third block of questions assessed the favourability of school leaders' attitudes towards students’ achievement analytics (Students achievement analytics is very useful for school leaders; Students achievement analytics is very useful for teachers; 11 in total). <br> <b><i>Socio-demographic characteristics</i></b>: age, main position in the school, seniority in management, seniority in teaching, education, pedagogical qualifications, type of educational institution the school belongs to, general education curriculum provided by the school, subordination of the school, number of students, location of the school, number of socially disadvantaged students, achievement of students in the school in mathematics. <br><br> <b>Survey partners</b>:<br> <a href="https://www.lmva.eu" target="_blank">Lithuanian School Leaders Association</a><br> <a href="http://www.lga.vilnius.lm.lt" target="_blank">Lithuanian Association of Gymnasiums</a><br> <a href="https://www.progimnazijos.vilnius.lm.lt" target="_blank">Lithuanian Association of Progymnasiums</a><br> <a href="https://pagrindinesmokyklos.weebly.com" target="_blank">Lithuanian Association of Basic Schools</a>. <br><br> The survey was conducted as part of the joint project between <a href="https://www.sonaro.eu" target="_blank">Sonaro Ltd</a> and Kaunas University of Technology "Innovative system for students’ data analysis, progress evaluation and achievement forecasting" (No 02-019-K-0027).

2024-11-18-2024-12-08

2024-11-18-2024-12-08

Lithuania

<a href="https://vocabularies.cessda.eu/vocabulary/AnalysisUnit?code=Individual&lang=en" target="_blank">Individual</a> (DDI Alliance CV for Analysis Unit)

School leaders (principals or vice-principals) of Lithuanian gymnasiums, progymnasiums, and basic (lower secondary) schools

Survey data

<p> The main language of the study is Lithuanian (lit). </p> <p> Standardized questionnaire was provided for the respondents in Lithuanian (lit). </p>

<a href="https://vocabularies.cessda.eu/vocabulary/TimeMethod?code=CrossSection" target="_blank">Cross-section</a> (DDI Alliance CV for Time Method)

Survey data was collected on the SurveyMonkey platform

<a href="https://vocabularies.cessda.eu/vocabulary/TypeOfFrequency?code=NotApplicable" target="_blank">Not applicable</a> (DDI Alliance CV for Type of Frequency)

<p> <a href="https://vocabularies.cessda.eu/vocabulary/SamplingProcedure?code=Nonprobability.Purposive" target="_blank">Non-probability: Purposive</a> (DDI Alliance CV for Sampling Procedure) </p> <p>The survey was open to school leaders (principals or vice-principals) of Lithuanian gymnasiums, progymnasiums, and basic education schools. Invitations were distributed in two stages:</p><ul><li>In the first stage, the invitation was disseminated through school associations: the Lithuanian School Leaders Association, the Lithuanian Association of Gymnasiums, the Lithuanian Association of Pro-Gymnasiums and the Lithuanian Association of Primary Schools. This stage yielded 157 responses, accounting for 64% of the total sample.</li><li>In the second stage, the invitation was sent to all Lithuanian schools of the aforementioned types (based on the <a href="https://www.aikos.smm.lt/Registrai/Svietimo-ir-mokslo-institucijos/SitePages/Pagrindinis.aspx?ss=b074400c-17a9-4f26-bd16-d72ebdfd2a7c" target="_blank"> AIKOS Register of Educational and Scientific Institutions</a>), excluding those identified as members of the above-mentioned associations. The invitation was sent to the official school contact email address listed in AIKOS on December 2, 2024. This stage yielded 89 responses, accounting for 36% of the total sample.</li></ul>

<a href="https://vocabularies.cessda.eu/vocabulary/ModeOfCollection?code=SelfAdministeredQuestionnaireCAWI" target="_blank">Self- administered questionnaire: Web-based (CAWI)</a> (DDI Alliance CV for Mode of Collection)

<a href="https://vocabularies.cessda.eu/vocabulary/TypeOfInstrument?code=QuestionnaireStructured&lang=en" target="_blank">Structured questionnaire</a> (DDI Alliance CV for Type Of Instrument)

Faculty of Social Sciences, Arts and Humanities, Kaunas University of Technology, Lithuania = Socialinių, humanitarinių mokslų ir menų fakultetas, Kauno technologijos universitetas, Lietuva

<b>Major files </b> = <b>Pagrindiniai failai</b> <p>Data files (1, SPSS SAV format) = Duomenų failai (1, SPSS SAV formatu)</p> <p> Questionnaires (1, PDF format) = Klausimynai (1, PDF formatu)</p> <b>Other files</b> = <b>Kiti failai</b> <p>Syntax files (1, TXT format) = Sintaksės failai (1, TXT formatu)</p> <p>Other files related to the dataset (3, different formats) = Kiti su duomenų rinkiniu susijęs failai (3, įvairūs formatai)</p>

In order to ensure the confidentiality of the data stored in the LiDA Dataverse repository, users must agree to the confidentiality declaration before using the data. The declaration of confidentiality obliges LiDA Dataverse repository users to protect the confidentiality of any information to which they have been granted access, if this information directly or indirectly identifies specific individuals. Intentional or unintentional disregard for this obligation may incur liability under applicable data protection laws. <hr> Siekiant užtikrinti LiDA Dataverse talpykloje saugomų duomenų konfidencialumą, prieš pradėdami naudotis konkrečiais duomenimis, vartotojai privalo sutikti su konfidencialumo deklaracija. Konfidencialumo deklaracijoje LiDA Dataverse talpyklos duomenų vartotojai įpareigojami saugoti bet kokios informacijos, prie kurios jiems suteikiama prieiga, konfidencialumą, jei ši informacija leistų identifikuoti konkrečius asmenis. Įspėjama, kad sąmoningas ar nesąmoningas šio pasižadėjimo nepaisymas užtraukia atitinkamą atsakomybę pagal galiojančius duomenų apsaugos teisės aktus.

Users undertake not to transfer data curated by the LiDA and to which they have been granted access to any third parties. <hr> 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. <hr> 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.

The users are required to provide bibliographic information about all forms of publications referring to the data and other resources curated at the LiDA (in written form or by email: <a href="mailto:data@ktu.lt">data@ktu.lt</a>). <hr> Vartotojai įsipareigoja pateikti archyvui publikacijų, kuriose naudoti LiDA saugomi duomenys ar kita informacija, bibliografinius aprašus (raštu ar el. paštu: <a href="mailto:data@ktu.lt">data@ktu.lt</a>).

The Lithuanian Data Archive for Humanities and Social Sciences (LiDA) bears no responsibility for the uses of the data archived therein, or for interpretations or inferences based on these uses. The LiDA accepts no liability for indirect, consequential or incidental damages or losses arising from use of the data collection, or from the unavailability of, or break in access to the service for whatever reason. <hr> 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.

<p>Access to the LiDA internal documents related to the published dataset is not provided.</p> <hr> <p>Prieiga prie LiDA vidinių dokumentų, susijusių su publikuotu duomenų rinkiniu, nesuteikiama.</p>

• Number of cases: 246

• No. of variables per record: 102

• Type of File: text/tab-separated-values

UNF:6:YZMVgrQPj09Gg8MsveYMUw==

Survey

• id_lida - Study identification number (LiDA) = Tyrimo identifikacinis numeris (LiDA)
• pid_lida - PID (LiDA)
• version_lida - Version (LiDA) = Versija (LiDA)
• ID - Respondento identifikacinis numeris (LiDA)
• K2 - K2|Mokyklos tipas
• K3 - K3|Kaip dažnai iškyla poreikis analizuoti mokyklos mokinių pasiekimų duomenis
• K4_1 - K4.1|Atsakingas už pasiekimų duomenų analizę: mokyklos direktorius
• K4_2 - K4.2|Atsakingas už pasiekimų duomenų analizę: direktoriaus pavaduotojas
• K4_3 - K4.3|Atsakingas už pasiekimų duomenų analizę: mokytojas
• K4_4 - K4.4|Atsakingas už pasiekimų duomenų analizę: pagalbos mokiniui specialistas
• K4_5 - K4.5|Atsakingas už pasiekimų duomenų analizę: išoriniai paslaugų teikėjai
• K4_6 - K4.6|Atsakingas už pasiekimų duomenų analizę: kita
• K5_1 - K5.1|Vadovybė analizuoja duomenis: ataskaitiniais tikslais
• K5_2 - K5.2|Vadovybė analizuoja duomenis: mokyklos veiklos kokybės įsivertinimo tikslais
• K5_3 - K5.3|Vadovybė analizuoja duomenis: mokyklos veiklos viešinimo tikslais
• K5_4 - K5.4|Vadovybė analizuoja duomenis: pokyčių, intervencijų planavimo tikslais
• K5_5 - K5.5|Vadovybė analizuoja duomenis: ugdymo proceso tobulinimo tikslais
• K5_6 - K5.6|Vadovybė analizuoja duomenis: konkrečių dalykų didaktikos tobulinimo tikslais
• K5_7 - K5.7|Vadovybė analizuoja duomenis: kita
• K6_1 - K6.1|Pasiekimų analizei naudoja: pusmečio (trimestro)/metinius pažymių vidurkius
• K6_2 - K6.2|Pasiekimų analizei naudoja: einamojo pusmečio (trimestro) pažymius
• K6_3 - K6.3|Pasiekimų analizei naudoja: nacionalinių pasiekimų vertinimų rezultatus
• K6_4 - K6.4|Pasiekimų analizei naudoja: mokyklos naudojamų diagnostinių testų rezultatus
• K6_5 - K6.5|Pasiekimų analizei naudoja: išorinių pasiekimų tyrimų rezultatus
• K6_6 - K6.6|Pasiekimų analizei naudoja: kokybinius mokinių kompetencijų vertinimus
• K6_7 - K6.7|Pasiekimų analizei naudoja: kita
• K7_1 - K7.1|Pasiekimų analizei naudojasi: mokyklos vidinėmis duomenų talpyklomis
• K7_2 - K7.2|Pasiekimų analizei naudojasi: ŠVIS ištekliais
• K7_3 - K7.3|Pasiekimų analizei naudojasi: Nacionalinės švietimo agentūros duomenimis
• K7_4 - K7.4|Pasiekimų analizei naudojasi: Valstybės duomenų agentūros ištekliais
• K7_5 - K7.5|Pasiekimų analizei naudojasi: 'TAMO' kaupiamais duomenimis
• K7_6 - K7.6|Pasiekimų analizei naudojasi: 'Mano dienynas' kaupiamais duomenimis
• K7_7 - K7.7|Pasiekimų analizei naudojasi: Mokinio registru
• K7_8 - K7.8|Pasiekimų analizei naudojasi: savivaldybės duomenimis
• K7_9 - K7.9|Pasiekimų analizei naudojasi: jokiomis
• K7_10 - K7.10|Pasiekimų analizei naudojasi: kita
• K8_1 - K8.1|Pasiekimų analizei naudojasi: MS Excel ar analogais
• K8_2 - K8.2|Pasiekimų analizei naudojasi: Power BI, Tableau ar jų analogais
• K8_3 - K8.3|Pasiekimų analizei naudojasi: statistinės analizės programomis
• K8_4 - K8.4|Pasiekimų analizei naudojasi: ŠVIS pateikiama analitika
• K8_5 - K8.5|Pasiekimų analizei naudojasi: 'TAMO' pateikiama analitika
• K8_6 - K8.6|Pasiekimų analizei naudojasi: 'Mano dienynas' pateikiama analitika
• K8_7 - K8.7|Pasiekimų analizei naudojasi: įrankiu 'Mokinių pažanga'
• K8_8 - K8.8|Pasiekimų analizei naudojasi: 'Reflectus' internetine reflektavimo sistema
• K8_9 - K8.9|Pasiekimų analizei naudojasi: savivaldybės sukurtu duomenų analizės įrankiu
• K8_10 - K8.10|Pasiekimų analizei naudojasi: mokykloje sukurtu duomenų analizės įrankiu
• K8_11 - K8.11|Pasiekimų analizei naudojasi: jokiais
• K8_12 - K8.12|Pasiekimų analizei naudojasi: kita
• K9_1 - K9.1|Aktualūs analizės tipai: klasės/mokyklos lygiu pasiekimų rodiklių sukūrimas
• K9_2 - K9.2|Aktualūs analizės tipai: individualios mokinių pažangos vertinimas
• K9_3 - K9.3|Aktualūs analizės tipai: skirtingų mokinių pogrupių nustatymas
• K9_4 - K9.4|Aktualūs analizės tipai: nepalankių pasiekimų tendencijų identifikavimas
• K9_5 - K9.5|Aktualūs analizės tipai: didžiausią potencialą turinčių mokinių identifikavimas
• K9_6 - K9.6|Aktualūs analizės tipai: mokinių pasiekimų prognozavimas
• K9_7 - K9.7|Aktualūs analizės tipai: kita
• K10_1 - K10.1|Teiginys: žinau, kur ir kaip gauti mokinių nacionalinių vertinimų rezultatus
• K10_2 - K10.2|Teiginys: žinau, kokius duomenis turiu gauti – suprasti pasiekimų situaciją
• K10_3 - K10.3|Teiginys: žinau, kokių duomenų reikia – palyginti pasiekimus su šalimi
• K10_4 - K10.4|Teiginys: suprantu, kokių duomenų reikia – palyginti pogrupių pasiekimus
• K10_5 - K10.5|Teiginys: sugebu naudotis IS – sudaryti lenteles/grafikus apie pasiekimus
• K10_6 - K10.6|Teiginys: moku naudotis IS – atrinkti mokinius ir palyginti jų pasiekimus
• K10_7 - K10.7|Teiginys: sugebu naudotis IS – rasti mokyklai parengtas pasiekimų ataskaitas
• K11_1 - K11.1|Teiginys: sugebu suprasti mokyklai parengtas mokinių pasiekimų ataskaitas
• K11_2 - K11.2|Teiginys: sugebu suprasti pasiekimų lygį iš nacionalinių vertinimų balų
• K11_3 - K11.3|Teiginys: manau, kad moku interpretuoti nacionalinių patikrinimų balus
• K11_4 - K11.4|Teiginys: sugebu suprasti stiprybes/spragas iš nacionalinių vertinimų balų
• K11_5 - K11.5|Teiginys: moku naudotis duomenimis – identifikuoti sunkumų turinčius mokinius
• K11_6 - K11.6|Teiginys: moku naudotis duomenimis – nustatyti dalyko mokinių žinių spragas
• K11_7 - K11.7|Teiginys: sugebu naudotis duomenimis – suteikti grįžtamąjį ryšį mokiniams
• K11_8 - K11.8|Teiginys: moku naudotis duomenimis – rasti tobulintinas mokomojo dalyko sritis
• K11_9 - K11.9|Teiginys: sugebu naudotis duomenimis – suplanuoti priemones žinių spragoms
• K12_1 - K12.1|Teiginys: mokinių pasiekimų analizė – labai naudinga mokyklų vadovams
• K12_2 - K12.2|Teiginys: mokinių pasiekimų analizė – labai naudinga mokytojams
• K12_3 - K12.3|Teiginys: mokinių pasiekimų analizė – naudinga mokyklos veiklos tobulinimui
• K12_4 - K12.4|Teiginys: mokyklos turėtų investuoti daugiau laiko, lėšų į pasiekimų analizę
• K12_5 - K12.5|Teiginys: jei galėčiau, ateityje skirčiau daugiau dėmesio pasiekimų analizei
• K12_6 - K12.6|Teiginys: tikiu, kad pasiekimų analizė taps svarbia mokyklų praktikos dalimi
• K12_7 - K12.7|Teiginys: manau, kad pasiekimų analizės įrankiai turi didelį potencialą
• K12_8 - K12.8|Teiginys: manau, kad mūsų mokykla investuos į pasiekimų analizės įrankius
• K12_9 - K12.9|Teiginys: jei galėčiau, skatinčiau kolegas nagrinėti pasiekimų duomenis
• K12_10 - K12.10|Teiginys: jei būtų proga, rekomenduočiau kolegoms naudoti pasiekimų analizę
• K12_11 - K12.11|Teiginys: pagal galimybes skatinu mokytojus nagrinėti pasiekimų duomenis
• K13 - K13|Amžius
• K13r - K13r|Amžiaus grupės (LiDA)
• K14 - K14|Pagrindinės pareigos mokykloje
• K15 - K15|Vadovaujamo darbo stažas
• K15r - K15|Vadovaujamo darbo stažas (LiDA)
• K16 - K16|Pedagoginio darbo stažas
• K16r - K16|Pedagoginio darbo stažas (LiDA)
• K17 - K17|Aukščiausias išsilavinimas
• K18 - K18|Pedagoginė kvalifikacija
• K19 - K19|Kokiai paskirčių grupei priklauso mokykla
• K20_1 - K20.1|Mokykloje vykdomos bendrojo ugdymo programos: priešmokyklinio ugdymo
• K20_2 - K20.2|Mokykloje vykdomos bendrojo ugdymo programos: pradinio mokymo
• K20_3 - K20.3|Mokykloje vykdomos bendrojo ugdymo programos: pagrindinio mokymo
• K20_4 - K20.4|Mokykloje vykdomos bendrojo ugdymo programos: vidurinio mokymo
• K21 - K21|Mokyklos pavaldumas
• K22 - K22|Kiek mokinių (apytiksliai) mokosi mokykloje 2024-2025 m. m.
• K23 - K23|Mokyklos vietovė
• K23r - K23r|Mokyklos vietovė
• K24 - K24|Kokia dalis mokyklos mokinių yra socialiai remiami 2024 m. rudenį
• K25 - K25|Kokie yra pasiekimai pagal VBE/8-tos klasės NMPP rezultatus matematikos srityje

f3778 Location:

Variable Format: character

Notes: UNF:6:hJBayivBTpYOgOFL8HE/0A==

f3778 Location:

Variable Format: character

Notes: UNF:6:EqehRq7mAT1uVj2UPSXRoQ==

f3778 Location:

Variable Format: character

Notes: UNF:6:EFWvRsN1xsM/k7Z3zFIFkg==

f3778 Location:

Summary Statistics: StDev 71.1582742904857; Mean 123.5; Valid 246.0; Max. 246.0; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:hvFR+R8LQN0bQ1dVzDNDKw==

f3778 Location:

Summary Statistics: Mean 1.784552845528455; Valid 246.0; StDev 0.8750074071126916; Min. 1.0; Max. 3.0

Variable Format: numeric

Notes: UNF:6:oiCT0Bu3iSVBhWnGxo03LA==

f3778 Location:

Summary Statistics: Min. 1.0; StDev 0.6842342719480264; Mean 2.4430894308943087; Max. 4.0; Valid 246.0

Variable Format: numeric

Notes: UNF:6:+9kQp007U+nzprEqB4LcBw==

f3778 Location:

Summary Statistics: Mean 0.23983739837398374; Min. 0.0; Max. 1.0; Valid 246.0; StDev 0.4278546076525657

Variable Format: numeric

Notes: UNF:6:4oIlBYkMPt1R++GeWFulcg==

f3778 Location:

Summary Statistics: StDev 0.18812427185910582; Min. 0.0; Valid 246.0; Mean 0.9634146341463414; Max. 1.0;

Variable Format: numeric

Notes: UNF:6:6EIxMncoIXHP8CLwe6zMjw==

f3778 Location:

Summary Statistics: Max. 1.0; Mean 0.3048780487804879; StDev 0.4612943030721152; Valid 246.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:UuYnSY8EwdL/0VRi6SzsQQ==

f3778 Location:

Summary Statistics: StDev 0.38739471345379317; Valid 246.0; Max. 1.0; Mean 0.1829268292682927; Min. 0.0

Variable Format: numeric

Notes: UNF:6:oSsVYthCW/LMM2fv4/jikg==

f3778 Location:

Summary Statistics: Valid 246.0; Min. 0.0; Mean 0.016260162601626; Max. 1.0; StDev 0.12673223177143728

Variable Format: numeric

Notes: UNF:6:Gi2rdZwXBffvZMqGeWZIIw==

f3778 Location:

Summary Statistics: Max. 1.0; Min. 0.0; Valid 246.0; StDev 0.17773905888855093; Mean 0.03252032520325206

Variable Format: numeric

Notes: UNF:6:/0hFmxH1vgzEQr++h+gYDA==

f3778 Location:

Summary Statistics: StDev 0.36975411001758435; Min. 0.0; Valid 246.0; Max. 1.0; Mean 0.8373983739837398;

Variable Format: numeric

Notes: UNF:6:TdVe2ZecjUG58mdMrsWr5Q==

f3778 Location:

Summary Statistics: Max. 1.0; StDev 0.2738537054694286; Mean 0.9186991869918699; Valid 246.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:SZDJpWjpFnP07pAiXLDW3g==

f3778 Location:

Summary Statistics: Mean 0.3008130081300813; Max. 1.0; Valid 246.0; Min. 0.0; StDev 0.45954652625091347

Variable Format: numeric

Notes: UNF:6:CqsKJwGAqnLHo12lsJncDA==

f3778 Location:

Summary Statistics: Min. 0.0; Max. 1.0; Mean 0.6788617886178862; Valid 246.0; StDev 0.4678656762616014

Variable Format: numeric

Notes: UNF:6:IaPBPHSf+0cZE8zsBc9XnA==

f3778 Location:

Summary Statistics: Valid 246.0; Max. 1.0; Mean 0.9065040650406504; Min. 0.0; StDev 0.29171969699706757;

Variable Format: numeric

Notes: UNF:6:tgDrv2I1DveCvfNDnbgrgw==

f3778 Location:

Summary Statistics: StDev 0.4936631797010321; Valid 246.0; Mean 0.41463414634146345; Min. 0.0; Max. 1.0

Variable Format: numeric

Notes: UNF:6:QDh/kGreiX3zluLOIa9s1g==

f3778 Location:

Summary Statistics: StDev 0.10997986149878214; Min. 0.0; Mean 0.012195121951219504; Max. 1.0; Valid 246.0

Variable Format: numeric

Notes: UNF:6:MZoYZRrX6QcX9K2BWHkF6Q==

f3778 Location:

Summary Statistics: Mean 0.9634146341463414; StDev 0.1881242718591058; Valid 246.0; Min. 0.0; Max. 1.0

Variable Format: numeric

Notes: UNF:6:PV3siykTjRnWizq9ySC/Ag==

f3778 Location:

Summary Statistics: Mean 0.6178861788617885; Valid 246.0; StDev 0.4868947873315593; Max. 1.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:ZuatPrFQcbpoJOl90RUl3Q==

f3778 Location:

Summary Statistics: StDev 0.17773905888855107; Mean 0.967479674796748; Min. 0.0; Valid 246.0; Max. 1.0;

Variable Format: numeric

Notes: UNF:6:HIqmIQL2gg2ysZsF29GruQ==

f3778 Location:

Summary Statistics: StDev 0.5004229172087306; Valid 246.0; Mean 0.524390243902439; Min. 0.0; Max. 1.0;

Variable Format: numeric

Notes: UNF:6:Ku5n5ZYGMfspnNczk8fguw==

f3778 Location:

Summary Statistics: Mean 0.6178861788617885; Max. 1.0; Valid 246.0; StDev 0.48689478733155933; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:qJ/6o6PVjMQkyyHefJGrjA==

f3778 Location:

Summary Statistics: Max. 1.0; StDev 0.4694057895410829; Min. 0.0; Mean 0.3252032520325203; Valid 246.0

Variable Format: numeric

Notes: UNF:6:yOHST0VTurdPds6K+z2npA==

f3778 Location:

Summary Statistics: Mean 0.012195121951219506; Max. 1.0; Min. 0.0; StDev 0.10997986149878167; Valid 246.0

Variable Format: numeric

Notes: UNF:6:ZxFWnctAD5Pmk+sWCRcU1w==

f3778 Location:

Summary Statistics: Max. 1.0; Min. 0.0; Mean 0.6097560975609756; StDev 0.48879938443903076; Valid 246.0

Variable Format: numeric

Notes: UNF:6:3khAEr5/PgC8/U30rIkpiw==

f3778 Location:

Summary Statistics: Mean 0.7113821138211383; Min. 0.0; Max. 1.0; StDev 0.45404364656374224; Valid 246.0

Variable Format: numeric

Notes: UNF:6:Yse//8RR8+CPDel9FcIsxA==

f3778 Location:

Summary Statistics: StDev 0.4327132421806853; Min. 0.0; Mean 0.7520325203252033; Max. 1.0; Valid 246.0

Variable Format: numeric

Notes: UNF:6:BN2A0lJGj3Lqm8zX/exL3g==

f3778 Location:

Summary Statistics: Mean 0.03252032520325205; StDev 0.17773905888855127; Valid 246.0; Max. 1.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:BfGqxfGIPx7S4Fg1ijfp2w==

f3778 Location:

Summary Statistics: Max. 1.0; Min. 0.0; Valid 246.0; StDev 0.45212108190854783; Mean 0.7154471544715447

Variable Format: numeric

Notes: UNF:6:fOroilv/jveYhNIlIAf4lg==

f3778 Location:

Summary Statistics: Min. 0.0; Max. 1.0; Valid 246.0; StDev 0.43961761443575353; Mean 0.26016260162601623

Variable Format: numeric

Notes: UNF:6:4ZBTaSWy/imRGC/Q1f5qXA==

f3778 Location:

Summary Statistics: Mean 0.47154471544715443; Valid 246.0; Max. 1.0; Min. 0.0; StDev 0.5002073570362437

Variable Format: numeric

Notes: UNF:6:31uOMKdK7LWw6QtRh62e8Q==

f3778 Location:

Summary Statistics: Valid 246.0; Mean 0.4065040650406505; Min. 0.0; StDev 0.4921821195034606; Max. 1.0

Variable Format: numeric

Notes: UNF:6:4pEkDqruKrVZZ5qiqPqGRg==

f3778 Location:

Summary Statistics: Min. 0.0; Mean 0.0; StDev 0.0; Valid 246.0; Max. 0.0

Variable Format: numeric

Notes: UNF:6:ouFybZt56L7NfIdNx8abgw==

f3778 Location:

Summary Statistics: Mean 0.016260162601626015; Valid 246.0; StDev 0.12673223177143775; Max. 1.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:c/k3vwzTm5WzCgHH+vphUQ==

f3778 Location:

Summary Statistics: Min. 0.0; StDev 0.45954652625091347; Mean 0.6991869918699187; Valid 246.0; Max. 1.0;

Variable Format: numeric

Notes: UNF:6:oct0M2qpYNLCdP2irMLI7Q==

f3778 Location:

Summary Statistics: Valid 246.0; StDev 0.22418112329352904; Min. 0.0; Mean 0.052845528455284604; Max. 1.0

Variable Format: numeric

Notes: UNF:6:39zjG5RI8r/fDMtVIQ8LCw==

f3778 Location:

Summary Statistics: Max. 1.0; Valid 246.0; Mean 0.06910569105691058; Min. 0.0; StDev 0.25415087317344887

Variable Format: numeric

Notes: UNF:6:zbP86FN2tMjmB0SPTL5JNg==

f3778 Location:

Summary Statistics: Mean 0.6666666666666667; Max. 1.0; Valid 246.0; StDev 0.47236559114808596; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:HDewqQC/wY0006hTKLkEcA==

f3778 Location:

Summary Statistics: Max. 1.0; Mean 0.6747967479674797; StDev 0.46940578954108303; Valid 246.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:uBKJjhTFsNvy0Aw7fB/DSA==

f3778 Location:

Summary Statistics: Min. 0.0; Mean 0.2560975609756098; Valid 246.0; StDev 0.4373662065206595; Max. 1.0

Variable Format: numeric

Notes: UNF:6:lOFT5nkkc+SNxmqJj2FytQ==

f3778 Location:

Summary Statistics: Mean 0.0894308943089431; Valid 246.0; StDev 0.28594647940211165; Max. 1.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:1L+wsGhYNp6KnNgIs2kHXw==

f3778 Location:

Summary Statistics: Mean 0.06504065040650409; Min. 0.0; StDev 0.24710032328868176; Valid 246.0; Max. 1.0;

Variable Format: numeric

Notes: UNF:6:cEexhucgORY5wjvpKP3Q2g==

f3778 Location:

Summary Statistics: Max. 1.0; Valid 246.0; Min. 0.0; StDev 0.24710032328868176; Mean 0.06504065040650409

Variable Format: numeric

Notes: UNF:6:f4I1gIFIjqMa/NYEHEMa2Q==

f3778 Location:

Summary Statistics: Valid 246.0; Mean 0.3373983739837398; StDev 0.473786031786198; Min. 0.0; Max. 1.0

Variable Format: numeric

Notes: UNF:6:dvF9QcZLu8Pi83/w+JT+1Q==

f3778 Location:

Summary Statistics: StDev 0.10997986149878178; Mean 0.012195121951219506; Valid 246.0; Min. 0.0; Max. 1.0

Variable Format: numeric

Notes: UNF:6:NACTMXYnkEetvNdVe0cZQQ==

f3778 Location:

Summary Statistics: Valid 246.0; Min. 0.0; StDev 0.08998276110179966; Mean 0.008130081300812995; Max. 1.0;

Variable Format: numeric

Notes: UNF:6:iFtl7Xgt3Qh08+ihNczVpA==

f3778 Location:

Summary Statistics: StDev 0.43736620652065955; Valid 246.0; Mean 0.7439024390243902; Min. 0.0; Max. 1.0

Variable Format: numeric

Notes: UNF:6:WQKt1GhxwXMr1gXyBx/7+Q==

f3778 Location:

Summary Statistics: StDev 0.2738537054694285; Min. 0.0; Mean 0.9186991869918699; Valid 246.0; Max. 1.0;

Variable Format: numeric

Notes: UNF:6:DxEBpuk3sXHSQ0BrO4LQsA==

f3778 Location:

Summary Statistics: Valid 246.0; Mean 0.3943089430894308; Max. 1.0; StDev 0.4896980849142399; Min. 0.0

Variable Format: numeric

Notes: UNF:6:UoTM+5Swsfd3uqfL8NpMEQ==

f3778 Location:

Summary Statistics: Min. 0.0; Mean 0.6504065040650406; Max. 1.0; Valid 246.0; StDev 0.4778137257644997

Variable Format: numeric

Notes: UNF:6:PlZouWwmsPrGgGVyPcnTNw==

f3778 Location:

Summary Statistics: Valid 246.0; Mean 0.7154471544715447; Min. 0.0; Max. 1.0; StDev 0.45212108190854783

Variable Format: numeric

Notes: UNF:6:FGaLz6aiENwazzD64dTahg==

f3778 Location:

Summary Statistics: Valid 246.0; StDev 0.5004229172087306; Min. 0.0; Mean 0.524390243902439; Max. 1.0

Variable Format: numeric

Notes: UNF:6:IGD7cRuLPzhW2sO0NQBibg==

f3778 Location:

Summary Statistics: Max. 0.0; Mean 0.0; Valid 246.0; Min. 0.0; StDev 0.0;

Variable Format: numeric

Notes: UNF:6:ouFybZt56L7NfIdNx8abgw==

f3778 Location:

Summary Statistics: Valid 246.0; StDev 1.0929582897481738; Min. 1.0; Max. 9.0; Mean 4.666666666666666

Variable Format: numeric

Notes: UNF:6:vE15+C5ocn89aQYoU9qtkA==

f3778 Location:

Summary Statistics: Valid 246.0; Mean 4.528455284552845; Min. 1.0; StDev 1.0941417529476647; Max. 9.0;

Variable Format: numeric

Notes: UNF:6:jkqeZKW8xBjSWRTsD4Fh7w==

f3778 Location:

Summary Statistics: StDev 1.1980086901337468; Max. 9.0; Valid 246.0; Mean 4.345528455284553; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:CzHMsb1tfbThhw99psVXaw==

f3778 Location:

Summary Statistics: Min. 1.0; Max. 9.0; Valid 246.0; Mean 4.272357723577235; StDev 1.2433529922545197

Variable Format: numeric

Notes: UNF:6:EqMZJgarYYPiMTLsNTFjJQ==

f3778 Location:

Summary Statistics: Mean 4.451219512195122; StDev 1.1480500489451773; Max. 9.0; Min. 1.0; Valid 246.0

Variable Format: numeric

Notes: UNF:6:ePQ08YJNTX42+cDff7YceQ==

f3778 Location:

Summary Statistics: Min. 1.0; Max. 9.0; Mean 4.268292682926829; StDev 1.2059253080854282; Valid 246.0

Variable Format: numeric

Notes: UNF:6:EKB8BJm/z5jcXg3pw+mITQ==

f3778 Location:

Summary Statistics: Valid 246.0; Max. 9.0; Min. 1.0; Mean 4.504065040650406; StDev 1.1347856670041983;

Variable Format: numeric

Notes: UNF:6:DP4uIOjUJ0v2l2TKPSRKXA==

f3778 Location:

Summary Statistics: StDev 1.4432291007548443; Min. 1.0; Valid 246.0; Max. 9.0; Mean 4.6138211382113825;

Variable Format: numeric

Notes: UNF:6:L3tXfCesEEdoAYIgqsdTFQ==

f3778 Location:

Summary Statistics: Mean 4.491869918699187; Valid 246.0; StDev 1.4756302559915033; Max. 9.0; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:OPWSeJY9WMCKsxsoVta1nA==

f3778 Location:

Summary Statistics: Mean 4.463414634146341; Max. 9.0; Valid 246.0; Min. 1.0; StDev 1.4862234453195873;

Variable Format: numeric

Notes: UNF:6:n6GF5Zx8QBz6HDrLrHZNRg==

f3778 Location:

Summary Statistics: Min. 1.0; Mean 4.361788617886179; Max. 9.0; StDev 1.5502479235667377; Valid 246.0

Variable Format: numeric

Notes: UNF:6:shH9rW3xzqEYj6cMR2100g==

f3778 Location:

Summary Statistics: StDev 1.486536000763614; Min. 1.0; Mean 4.479674796747967; Max. 9.0; Valid 246.0;

Variable Format: numeric

Notes: UNF:6:FUp7z72390IlLxASq4urGg==

f3778 Location:

Summary Statistics: Min. 1.0; StDev 1.569283722602202; Mean 4.260162601626017; Max. 9.0; Valid 246.0

Variable Format: numeric

Notes: UNF:6:Nzz5hgbg6CgjDP89fjmlig==

f3778 Location:

Summary Statistics: Min. 1.0; Valid 246.0; Mean 4.528455284552846; StDev 1.4389633641265842; Max. 9.0

Variable Format: numeric

Notes: UNF:6:FBNRlI4QRPq9rf/I4eKEIQ==

f3778 Location:

Summary Statistics: StDev 1.5520021911691138; Min. 1.0; Mean 4.304878048780488; Max. 9.0; Valid 246.0

Variable Format: numeric

Notes: UNF:6:4CxLr8KZtWRWkiDFk+MNLg==

f3778 Location:

Summary Statistics: Valid 246.0; Max. 9.0; StDev 1.53812777965094; Mean 4.321138211382114; Min. 1.0

Variable Format: numeric

Notes: UNF:6:aThQEFTvzZHiLaKJT9vsIQ==

f3778 Location:

Summary Statistics: Valid 246.0; Mean 4.91869918699187; Min. 3.0; StDev 1.476860961965928; Max. 9.0

Variable Format: numeric

Notes: UNF:6:x6DQuBjgaxPWZmjqQgNT2A==

f3778 Location:

Summary Statistics: Mean 4.9471544715447155; Min. 3.0; Max. 9.0; Valid 246.0; StDev 1.4600992531682129;

Variable Format: numeric

Notes: UNF:6:S7/qYJxoqNjKk2pCcrGbOg==

f3778 Location:

Summary Statistics: Min. 3.0; Valid 246.0; StDev 1.4573011232398918; Mean 4.9471544715447155; Max. 9.0

Variable Format: numeric

Notes: UNF:6:FfAOG4vZcf4D98LXGn7U8Q==

f3778 Location:

Summary Statistics: Mean 4.560975609756097; Valid 246.0; StDev 1.6740338253399447; Min. 1.0; Max. 9.0

Variable Format: numeric

Notes: UNF:6:Ap6bCWooAt26x+LmQdf7bQ==

f3778 Location:

Summary Statistics: StDev 1.601683202903201; Mean 4.691056910569106; Max. 9.0; Valid 246.0; Min. 3.0;

Variable Format: numeric

Notes: UNF:6:PG+8wZwITwEE9psq9akjpQ==

f3778 Location:

Summary Statistics: Valid 246.0; Min. 3.0; Mean 4.776422764227642; StDev 1.5579987844596135; Max. 9.0

Variable Format: numeric

Notes: UNF:6:2EZqrwHxBt0WuQatcUyEQw==

f3778 Location:

Summary Statistics: Valid 246.0; StDev 1.5515531164516176; Min. 2.0; Max. 9.0; Mean 4.768292682926829

Variable Format: numeric

Notes: UNF:6:99hmLFqGhos0gGlBpFU58A==

f3778 Location:

Summary Statistics: Mean 4.333333333333334; Valid 246.0; Max. 9.0; StDev 1.7643483698147677; Min. 2.0

Variable Format: numeric

Notes: UNF:6:PvGuQ+DL0jZ1mYXLbycXFA==

f3778 Location:

Summary Statistics: Mean 4.691056910569106; Max. 9.0; Valid 246.0; Min. 3.0; StDev 1.5863194793689952

Variable Format: numeric

Notes: UNF:6:Q+QLGq8fmED+rrrhWMO0WA==

f3778 Location:

Summary Statistics: StDev 1.6157769108752627; Max. 9.0; Valid 246.0; Mean 4.654471544715447; Min. 2.0;

Variable Format: numeric

Notes: UNF:6:Lj921Z08shOvnKmhegIizg==

f3778 Location:

Summary Statistics: StDev 1.4908882036020072; Valid 246.0; Max. 9.0; Min. 2.0; Mean 4.865853658536585

Variable Format: numeric

Notes: UNF:6:8hqxaIxve7zFVvHHu2GH1Q==

f3778 Location:

Summary Statistics: Mean 59.63414634146342; Valid 246.0; StDev 14.973592151563151; Min. 32.0; Max. 99.0

Variable Format: numeric

Notes: UNF:6:MDXFPr8NabUK7ZpeSpp0qw==

f3778 Location:

Summary Statistics: Mean 12.341463414634154; Max. 99.0; Min. 1.0; Valid 246.0; StDev 29.859488429613958

Variable Format: numeric

Notes: UNF:6:tsx9pv2BnT4fgz0sUL3uNw==

f3778 Location:

Summary Statistics: Mean 2.0284552845528454; Valid 246.0; Max. 9.0; StDev 2.433441178960728; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:mVLCL0sp1na8hNIVRQPoxw==

f3778 Location:

Summary Statistics: Valid 246.0; Min. 1.0; Mean 25.94674796747968; Max. 99.0; StDev 26.89222726626231

Variable Format: numeric

Notes: UNF:6:TQhh5ukj5u1EeIQS2uqF2g==

f3778 Location:

Summary Statistics: StDev 1.2833246602117285; Min. 1.0; Max. 5.0; Valid 246.0; Mean 3.16260162601626

Variable Format: numeric

Notes: UNF:6:TBNsYETnRbgj7BubFqvDmQ==

f3778 Location:

Summary Statistics: Valid 246.0; StDev 22.498283399664988; Mean 37.56910569105692; Max. 99.0; Min. 6.0

Variable Format: numeric

Notes: UNF:6:x0FU3q9OkL22XdsLe0bsKQ==

f3778 Location:

Summary Statistics: Mean 2.5772357723577235; Valid 246.0; StDev 0.9302896637446932; Max. 4.0; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:Wj8woTOmfWw7cr5GuwRybQ==

f3778 Location:

Summary Statistics: Min. 1.0; StDev 1.9639694603399904; Valid 246.0; Max. 9.0; Mean 3.455284552845529

Variable Format: numeric

Notes: UNF:6:xf6jMeHgQoKmwuYs8CAcPQ==

f3778 Location:

Summary Statistics: Max. 9.0; StDev 2.1013360213202685; Min. 1.0; Mean 3.2642276422764227; Valid 246.0;

Variable Format: numeric

Notes: UNF:6:6KLsuKz3AhZgglZsPruVMA==

f3778 Location:

Summary Statistics: StDev 2.476288749948386; Max. 9.0; Valid 246.0; Mean 1.8780487804878054; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:toTmI8cN23JI+KvnjKM7rw==

f3778 Location:

Summary Statistics: Valid 246.0; Max. 9.0; StDev 2.8438716170068083; Mean 1.4878048780487807; Min. 0.0

Variable Format: numeric

Notes: UNF:6:wephMsbYMLjnLeOaIhtSAA==

f3778 Location:

Summary Statistics: StDev 2.7411198766559153; Valid 246.0; Max. 9.0; Min. 0.0; Mean 1.743902439024391

Variable Format: numeric

Notes: UNF:6:EPxuMAiRuQuQNccizReLrA==

f3778 Location:

Summary Statistics: Min. 0.0; Valid 246.0; Max. 9.0; StDev 2.647929651981906; Mean 1.9308943089430899

Variable Format: numeric

Notes: UNF:6:ZGgdcsZ5mYF5kPE4xoJwfQ==

f3778 Location:

Summary Statistics: Max. 9.0; Mean 1.5569105691056913; StDev 2.818816694876842; Valid 246.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:22TBqw95vPrOJ/gHvGiedg==

f3778 Location:

Summary Statistics: Valid 246.0; Max. 9.0; Mean 2.0406504065040654; Min. 1.0; StDev 2.6182978548815585

Variable Format: numeric

Notes: UNF:6:/FvQPTJNbxMgqiakLaHWjg==

f3778 Location:

Summary Statistics: Min. 16.0; Mean 1658.7886178861793; Max. 9999.0; StDev 3127.759804056239; Valid 246.0

Variable Format: numeric

Notes: UNF:6:K5QTGqJj963nYeXd40qDlw==

f3778 Location:

Summary Statistics: Max. 9.0; Min. 1.0; StDev 2.3387857317819845; Mean 4.845528455284554; Valid 246.0;

Variable Format: numeric

Notes: UNF:6:yyI7bcC8LiV5+bYBgBwLjg==

f3778 Location:

Summary Statistics: Mean 1.7276422764227648; StDev 2.7484704707626766; Valid 246.0; Min. 0.0; Max. 9.0

Variable Format: numeric

Notes: UNF:6:926q1RZIz7Vc+xaBBD4LtQ==

f3778 Location:

Summary Statistics: Valid 246.0; Max. 9.0; StDev 2.2711498817338054; Min. 1.0; Mean 3.6991869918699183;

Variable Format: numeric

Notes: UNF:6:i3DhCG10Nfe09yJMtSWrcQ==

f3778 Location:

Summary Statistics: Min. 1.0; Mean 2.979674796747967; StDev 2.3113723937935147; Valid 246.0; Max. 9.0;

Variable Format: numeric

Notes: UNF:6:3vpXtahZXr+6VMa7TXqTrQ==

Label:

LiDA_SurveyData_0565_Archive_v1.0.tar.gz

Text:

Files providing previous versions of the data and data processing syntax files. If you would like to get access to these files, write to data@ktu.lt. = Ankstesnių duomenų versijų ir duomenų apdorojimo sintaksės failai. Jei norite gauti prieigą prie šių failų, rašykite data@ktu.lt.

application/x-gzip

Label:

LiDA_SurveyData_0565_Internal_documents_v1.0.tar.gz

Text:

LiDA internal documents related to the published dataset, to which access is not provided. = LiDA vidiniai dokumentai, susiję su publikuotu duomenų rinkiniu, prie kurių prieiga nesuteikiama.

application/x-gzip

Label:

LiDA_SurveyData_0565_Questionnaire_v1.0.pdf

Text:

Questionnaire. = Klausimynas.

application/pdf