Data of the Project "Strengthening REsilience in Communities and sOciety through citizeN sciEnce and CiTizenship", May - July 2024 (unified data set) (hdl:21.12137/JFZ22C)

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Data of the Project "Strengthening REsilience in Communities and sOciety through citizeN sciEnce and CiTizenship", May - July 2024 (unified data set)

hdl:21.12137/JFZ22C

Lithuanian Data Archive for SSH (LiDA)

2025-08-13

1

Butkevičienė, Eglė; Bryer, Thomas; Jurkevičienė, Jurgita; Morkevičius, Vaidas; Valentinavičius, Vytautas, 2026, "Data of the Project "Strengthening REsilience in Communities and sOciety through citizeN sciEnce and CiTizenship", May - July 2024 (unified data set)", https://hdl.handle.net/21.12137/JFZ22C, Lithuanian Data Archive for SSH (LiDA), V1, UNF:6:ktjcjZV1FpWMLZWT24c8hg== [fileUNF]

Data of the Project "Strengthening REsilience in Communities and sOciety through citizeN sciEnce and CiTizenship", May - July 2024 (unified data set)

hdl:21.12137/JFZ22C

LiDA_SurveyData_0569

Butkevičienė, Eglė (Research Group – Civil Society and Sustainability, Faculty of Social Sciences, Arts and Humanities, Kaunas University of Technology, Lithuania [Project Leader])

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

Jurkevičienė, Jurgita (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])

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

Žvaliauskas, Giedrius (Center for Data Analysis and Archiving (DAtA), Faculty of Social Sciences, Arts and Humanities, Kaunas University of Technology, Lithuania [ORCID: 0000-0001-8970-0756])

2024-07-27

SPSS

S-VIS-23-14

Lithuanian Data Archive for SSH (LiDA)

Lithuanian Data Archive for Social Sciences and Humanities

Center for Data Analysis and Archiving (DAtA)

Butkevičienė, Eglė (Research Group – Civil Society and Sustainability, Faculty of Social Sciences, Arts and Humanities, Kaunas University of Technology, Lithuania [ORCID: 0000-0002-5631-360X])

2024-08-16

2025-08-13

https://hdl.handle.net/21.12137/JFZ22C

Social Sciences, gender role, families, family roles, women, men, women's role, family life, national identity, nationality, nationalism, patriotism, immigrants, citizenship, democracy, pilietinės ir politinės teisės, political awareness, science, citizen participation, citizenship skills, political behaviour, risk, risk perception, resilience, social problems, political, social and economic issues, government policy

Family life and marriage, Gender and gender roles, Migration, Political behaviour and attitudes, Cultural and national identity, Science and technology, Government, political systems and organisations, Other

Dataset contains all survey data collected in the research project "<b>Strengthening REsilience in Communities and sOciety through citizeN sciEnce and CiTizenship</b>", which was conducted by a team of researchers from the Kaunas University of Technology. This research was funded by the Research Council of Lithuania (RCL) as part of the competitive program "Strengthening Societal Resilience and Crisis Management in the Context of Contemporary Geopolitical Situation" (S-VIS-23-14). Project leader – prof. dr. Eglė Butkevičienė. <br><br> The aim of the project – to analyse and make recommendations to local and national public sector institutions on how citizenship and citizen science can strengthen the resilience of Lithuanian society and communities to socio-political threats. <br><br> <b><i> Temporary accessibility restrictions apply for this dataset. Data will be made available without restrictions from 2026-07-01.</i></b>

2024-05-22-2024-07-27

2024-05-22-2024-07-27

Lithuania

Alytus County, Kaunas County, Klaipėda County, Marijampolė County, Panevėžys County, Šiauliai County, Tauragė County, Telšiai County, Utena County, Vilnius County

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

The population of the survey is 2 794 207 people aged 18 and over, of which 1 886 148 live in urban and 908 059 - in rural areas. The population of the survey included all residents of Lithuanian households aged 18 years and over, regardless of their nationality, citizenship, language or legal status in the country. The population did not include homeless persons, persons who do not live in Lithuania or have been hospitalised for more than 6 months, and persons living in institutions (old people's homes, boarding houses, shelters, etc.).

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)

UAB "Eurotela"

<a href="https://vocabularies.cessda.eu/vocabulary/TypeOfFrequency?code=Other" target="_blank">Other</a> (DDI Alliance CV for Type of Frequency)

<p> <a href="https://vocabularies.cessda.eu/vocabulary/SamplingProcedure?code=MixedProbabilityNonprobability" target="_blank">Mixed probability and non-probability</a> (DDI Alliance CV for Sampling Procedure) </p> <p> <b>Description of Sampling Procedure</b> </p> <p> <b>- Sampling type</b>: complex mixed sampling from two domains. </p> <p> <b>- Domains</b>: <ul> <li>The domains were territorially based: 1) the 5 largest cities (Vilnius, Kaunas, Klaipeda, Siauliai and Panevezys), 2) other settlements. The 5 largest cities cover about 43% of the population and the other settlements cover about 57% of the population.</li> </ul> </p> <p> <b>- Selection procedures</b> in domains: <ul> <li>Selection procedure <b><i>in the first domain</i></b>:</li> <ul> <li><b><i>Sampling frame</i></b>: the Address Register of the Republic of Lithuania (<a href="https://www.registrucentras.lt/adr/" target="_blank">www.registrucentras.lt/adr</a>), only in the 5 largest cities.</li> <li><b><i>Sampling method</b></i>: stratified clustered two-stage sampling: systematic random sampling of addresses and random sampling of respondents:</li> <ul> <li>In the first stage, the territory of Lithuania was divided into 25 strata according to counties and settlement type (cities/towns and rural areas), separating the 5 largest cities as additional strata. The first domain only included strata of the 5 largest cities. Within each stratum addresses (1476 in total) were selected in proportion to its population. Addresses were selected using systematic random sampling (i.e. arranging all addresses in the stratum according to the ascending order of address name and number) from the database of the Address Register of the Republic of Lithuania.</li> <li>In the second stage, in each selected address (household) one respondent was selected using the last birthday method.</li> </ul> </ul> </ul> <ul> <li>Selection procedure <b><i>in the second domain</i></b>:</li> <ul> <li><b><i>Sampling frame</i></b>: the Address Register of the Republic of Lithuania (<a href="https://www.registrucentras.lt/adr/" target="_blank">www.registrucentras.lt/adr</a>), in other settlements than the 5 largest cities.</li> <li><b><i>Sampling method</b></i>: stratified clustered three-stage sampling: systematic random sampling of the primary sampling units - addresses (70 in total), random route sampling of households and random sampling of respondents:</li> <ul> <li>In the first stage, the territory of Lithuania was divided into 25 strata according to counties and settlement type (cities/towns and rural areas), separating the 5 largest cities as additional strata. The second domain only included other settlements than the 5 largest cities. Within each stratum primary sampling units - addresses (70 in total) - were selected in proportion to its population. Addresses were selected using systematic random sampling (i.e. arranging all addresses in the stratum according to the ascending order of address name and number) from the database of the Address Register of the Republic of Lithuania.</li> <li>In the second stage, starting from each selected primary sampling unit (address), 10 households (on average) were selected using random route sampling. A total of 3379 addresses were visited.</li> <li>In the third stage, in each selected address (household) one respondent was selected using the last birthday method.</li> </ul> </ul> </ul>

<a href="https://vocabularies.cessda.eu/vocabulary/ModeOfCollection?code=InterviewFaceToFaceCAPIorCAMI" target="_blank">Face-to-face interview: Computer- assisted (CAPI/CAMI)</a> (DDI Alliance CV for ModeOfCollection)

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

The information provided by interviewers in the contact forms of address-based probability sampling and the protocols of random route sampling were verified. Also, at least 10 percent of respondents were re-contacted. It was verified whether interviewers visited the respondents, whether they followed the rules of respondent selection, whether they asked all the necessary questions etc.

Automatic measures were employed to verify the duration of interviews and the consistency and accuracy of filling out questionnaires.

Research Group – Civil Society and Sustainability, Faculty of Social Sciences, Arts and Humanities, Kaunas University of Technology, Lithuania = Mokslo grupė – Pilietinė visuomenė ir darnus vystymasis, Socialinių, humanitarinių mokslų ir menų fakultetas, Kauno technologijos universitetas, Lietuva

<p> <b><i>Data file = Duomenų failas</b> <p> Data file (1, SPSS SAV format) = Duomenų failas (1, SPSS SAV formatu). </p> <p> <b><i>Archive files *.tar.gz = Archyvinių failų *.tar.gz</i></b> <ul> <li> Data file (1, SPSS SAV format) = Duomenų failas (1, SPSS SAV formatu).</li> <li> Syntax files (1, SPSS SPS format) = Sintaksės failai (1, SPSS SPS formatu). </li> <li>Readme file (1, plain text format) = Readme failas (1, grynojo teksto formatu).</li> </ul> </p> <p> <b><i>Internal files *.tar.gz = Vidinių failų *.tar.gz</i></b> <ul> <li> Other files related to the dataset (5, different formats) = Kiti su duomenų rinkiniu susiję failai (5, įvairūs formatai).</li> <li>Readme file (1, plain text format) = Readme failas (1, grynojo teksto formatu).</li> </ul> </p> <p> <b><i>Questionnaires files *.tar.gz = Klausimynų failų *.tar.gz</i></b> <ul> <li> Questionnaire (1, PDF format) = Klausimynas (1, PDF formatu).</li> <li> Showcards (1, PDF format) = Kortelės (1, PDF formatu).</li> <li>Readme file (1, plain text format) = Readme failas (1, grynojo teksto formatu).</li> </ul> </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: 1257

• No. of variables per record: 280

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

UNF:6:ktjcjZV1FpWMLZWT24c8hg==

Survey

Label:

LiDA_SurveyData_0569_Archive_v1.0.tar.gz

Text:

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

application/x-gzip

Label:

LiDA_SurveyData_0569_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_0569_Questionnaires_v1.0.tar.gz

Text:

Questionnaires and showcards. = Klausimynai ir kortelės.

application/x-gzip