Most Important Problems in Lithuania, March 2022 (hdl:21.12137/PEBAHL)

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Most Important Problems in Lithuania, March 2022

hdl:21.12137/PEBAHL

Lithuanian Data Archive for SSH (LiDA)

2022-06-16

7

Morkevičius, Vaidas; Valentinavičius, Vytautas; Žvaliauskas, Giedrius, 2023, "Most Important Problems in Lithuania, March 2022", https://hdl.handle.net/21.12137/PEBAHL, Lithuanian Data Archive for SSH (LiDA), V7

Most Important Problems in Lithuania, March 2022

hdl:21.12137/PEBAHL

LiDA_SurveyData_0487

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

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

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

2022-03-19

SPSS

P-MIP-20-373

Lithuanian Data Archive for SSH (LiDA)

Lithuanian Data Archive for Social Sciences and Humanities

Center for Data Analysis and Archiving (DAtA)

Valentinavičius, Vytautas (Research Group – Civil Society and Sustainability, Faculty of Social Sciences, Arts and Humanities, Kaunas University of Technology, Lithuania [ORCID: 0000-0003-2110-3917])

2022-04-19

2022-06-16

Monitoring Social Problems

<p>Dataverse collection “Monitoring of Social Problems” contains surveys studying public opinion about social policy and social issues. </p>

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

Social Sciences, government policy, social issues, political, social and economic issues

Government, political systems and organisations

<p> <b><i>The purpose of the study</i></b>: to investigate Lithuanian public agenda and to measure Lithuanian public opinion on the most important socio-political problems in Lithuania. <br/> <b><i>Major investigated questions</i></b>: respondents were asked to think about the problems Lithuania is currently facing and to indicate which of them (up to three problems) the Government should pay most attention to this year (open-ended question). It was also asked how much effort the current Government of I. Šimonytė is putting into solving the problems indicated by respondents. In addition, respondents were asked to indicate, based on what they remember about the work of the previous Government (2016-2020), which problems (up to three problems) the S. Skvernelis Government put the most effort into solving (open-ended question). <br/> <b><i>Additional questions</i></b>: party for which respondents would vote in the Parliamentary (Seimas) elections if they were held next Sunday, trust in Lithuanian institutions (data includes 4 institutions: parties, the President’s Office, the Parliament (Seimas), the Government). <br/> <b><i>Socio-demographic characteristics</i></b>: sex, age, nationality, education, occupation, marital status, household size (including respondent), having children, net income per family member per month, household net income per month, place of residence, municipality, region of residence (county). </p> <p> Respondents' answers to open-ended questions about the most important problems were coded by the staff of the Lithuanian Data Archive for SSH (LiDA) using the international <a href=" https://www.comparativeagendas.net/pages/master-codebook" target="_blank">coding scheme of the Comparative Agendas Project</a>, which has 21 major topics and more than 200 subtopics. In addition, these responses were also coded according to whether the problems identified were directly related to Ukraine. </p>

2022-03-10-2022-03-19

2022-03-10-2022-03-19

Lithuania

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

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

All persons aged 18 and over resident within private households in Lithuania.

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=LongitudinalTrendRepeatedCrossSection&lang=en" target="_blank">Longitudinal: Trend/Repeated cross-section</a> (DDI Alliance CV for Time Method)

UAB "Vilmorus"

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

<p> <a href="https://vocabularies.cessda.eu/vocabulary/SamplingProcedure?code=MixedProbabilityNonprobability&lang=en" 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 three domains. </p> <p> <b>- Domains</b>: <ul> <li>The first two domains were territorially based: 1) county capitals and other cities/towns, 2) rural areas. County capitals and other cities/towns cover 68% of the population, while rural areas cover 32% of the population. In addition, the first two domains accounted for up to 70% of the surveyed sample units.</li> <li>The third domain accounted for up to 30% of the surveyed sample units, which were selected by randomized quota telephone sampling. The telephone survey was conducted to complement the sample due to the reluctance of potential respondents to participate face-to-face because of the COVID-19 pandemic.</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>: streets in the Address Register of the Republic of Lithuania (<a href="https://www.registrucentras.lt/adr/p/" target="_blank">www.registrucentras.lt/adr/p</a>), only in county capitals and other cities/towns, excluding rural areas.</li> <li><b><i>Sampling method</b></i>: stratified clustered three-stage sampling: systematic random sampling of the primary sampling units - streets (68 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 strata according to counties and settlement size (county capitals, other cities/towns and rural areas). The first domain only included county capitals and other cities/towns. Within each stratum primary sampling units were selected in proportion to its population. Primary sampling units in the strata of county capitals and cities/towns were streets (equivalent, not further divided). From the list of streets required amount of primary sampling units were selected using systematic random sampling.</li> <li>In the second stage, in each selected primary sampling unit in the strata of county capitals and other cities/towns 7 households were selected. The first household was selected from the table of random numbers. Subsequent households were selected via random route sampling: every 6th household (route was continued until the quota of 7 households was reached).</li> <li>In the third stage, in each selected household one respondent was selected using the nearest 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>: villages and streets in the Address Register of the Republic of Lithuania (<a href="https://www.registrucentras.lt/adr/p/" target="_blank">www.registrucentras.lt/adr/p</a>), only in rural areas.</li> <li><b><i>Sampling method</b></i>: stratified clustered four-stage sampling: systematic random sampling of the primary sampling units - villages (32 in total), random sampling of the secondary sampling units - streets, random route sampling of households and random sampling of respondents:</li> <ul> <li>In the first stage, the territory of Lithuania was divided into strata according to counties and settlement size (county capitals, other cities/towns and rural areas). The second domain only included rural areas. Within each stratum primary sampling units were selected in proportion to its population. Primary sampling units in the strata of rural areas were villages. From the list of villages required amount of primary sampling units were selected using systematic random sampling.</li> <li>In the second stage, in each selected primary sampling unit (village) 1 secondary sampling unit - street - was randomly selected form the list of streets within primary sampling units.</li> <li>In the third stage, in each selected secondary sampling unit (village streets) 7 households were selected. The first household was selected from the table of random numbers. Subsequent households were selected via random route sampling: every 2nd household (route was continued until the quota of 7 households was reached).</li> <li>In the fourth stage, in each selected household one respondent was selected using the nearest birthday method.</li> </ul> </ul> </ul> <ul> <li>Selection procedure <b><i>in the third domain</i></b>:</li> <ul> <li><b><i>Sampling frame</i></b>: telephone numbers of the Republic of Lithuania.</li> <li><b><i>Sampling method</b></i>: one-stage quota sampling using random generation of telephone numbers:</li> <ul> <li>In this domain, random digit dialing of phone numbers of the Republic of Lithuania was employed. Age, sex and place of residence quotas were used to select the respondents who were invited to participate in the survey. The survey in this domain was conducted until the required quota of up to 30% of the surveyed sample units (respondents) was reached.</li> </ul> </ul> </ul>

Villages with no streets were excluded from the sample.

<a href="https://vocabularies.cessda.eu/vocabulary/ModeOfCollection?code=InterviewFaceToFacePAPI&lang=en" target="_blank">Face-to-face interview: Paper-and-pencil (PAPI)</a> (DDI Alliance CV for Mode Of Collection)

<a href="https://vocabularies.cessda.eu/vocabulary/ModeOfCollection?code=InterviewTelephoneCATI&lang=en" target="_blank">Telephone interview: Computer-assisted (CATI)</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)

In order to check the quality of interviewer's work the data collector contacted by phone 10 percent of respondents. Procedure of sampling and compliance with questionnaire instructions were verified. Logic and accuracy of filling out questionnaires were checked by the data collector's department of interviewers.

10 percent of the data were checked for questionnaire keying in quality by the data input department. Possible mistakes of coding and congruence of answers to questions in the questionnaire were additionally checked.

<ul><li>Coding of open-ended questions was performed by one LiDA staff member. Coding of unclear or ambiguous answers was discussed with colleague staff member at the LiDA until consensus was reached.</li></ul>

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

<b>Pagrindiniai failai </b> = <b>Major files </b> <p>Duomenų failai (2, SPSS SAV formatu) = Data files (2, SPSS SAV format). </p> <p>Klausimynai (2, PDF formatu) = Questionnaires (2, PDF format). </p> <b>Kiti failai </b> = <b> Other files</b> <p>Sintaksės failai (1, TXT formatu) = Syntax files (1, TXT format). </p> <p>Kiti su duomenų rinkiniu susijęs failai (18, įvairūs formatai) = Other files related to the dataset (18, different formats). </p>

<p>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. </p> <hr> <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.</p>

Vartotojai įsipareigoja neperduoti LiDA saugomų duomenų, prie kurių jiems suteikiama prieiga, trečiosioms šalims. <hr> Users undertake not to transfer data curated by the LiDA and to which they have been granted access to any third parties.

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. <hr> 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.

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>). <hr> 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>).

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. <hr> 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.

<p>Jei norite gauti depozitoriaus perduotą tyrimo duomenų failą, ankstesnes duomenų failų versijas SPSS formatu arba pirminio apdorojimo SPSS komandų sintaksę, rašykite data@ktu.lt. </p> <p>Prieiga prie LiDA vidinių dokumentų, susijusių su publikuotu duomenų rinkiniu, nesuteikiama. </p> <hr> <p>If you would like to get the original data file submitted by the depositor, earlier versions of the data files in SPSS format or pre-processing syntaxes in SPSS format, write to data@ktu.lt.</p> <p>Access to the LiDA internal documents related to the published dataset is not provided. </p>

<p><a href="https://hdl.handle.net/21.12137/7MIKLW" target="_blank"> Most Important Problems in Lithuania, May 2023 </a></p> <p><a href="https://hdl.handle.net/21.12137/YZJGPY" target="_blank"> Most Important Problems in Lithuania, May - July 2024</a></p>

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LiDA_SurveyData_0487_Archive_v6.tar.gz

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Duomenų depozitoriaus pateikti originalūs duomenys, ankstesnės duomenų versijos ir pirminio apdorojimo SPSS sintaksės failai. Jei norite gauti depozitoriaus perduotą tyrimo duomenų failą, ankstesnes duomenų failų versijas SPSS formatu arba pirminio apdorojimo SPSS komandų sintaksę, rašykite data@ktu.lt = Original data deposited by the depositor, previous versions of the data and pre-processing syntax files in SPSS format. If you would like to get the original data file submitted by the depositor, earlier versions of the data files in SPSS format or pre-processing syntaxes in SPSS format, write to data@ktu.lt.

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LiDA_SurveyData_0487_Data_v2.tar.gz

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LiDA sutvarkyti duomenys: sukurti kintamųjų vardai, pavadinimai ir kintamųjų žymės; pakeisti kintamųjų pavadinimai; sutvarkytas trūkstamų reikšmių žymėjimas; sukurti išvestiniai ir organizaciniai kintamieji. LiDA duomenų apdorojimas atliktas naudojant SPSS komandų sintaksę. Jei norite gauti ankstesnes duomenų failų versijas SPSS formatu, rašykite data@ktu.lt = Data processed by the LiDA: Variable names, labels and variable labels created; Variable labels changed; Missing value information corrected; Derivative and administrative variables created. Data processing performed by the LiDA using SPSS command syntax. If you would like to get earlier versions of the data files in SPSS format, write to data@ktu.lt.

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LiDA_SurveyData_0487_Internal_documents_v2.tar.gz

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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.

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LiDA_SurveyData_0487_Questionnaires_v1.tar.gz

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Klausimynai ir kortelės = Questionnaires and showcards

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