Most Important Problems in Lithuania, May - July 2024 (hdl:21.12137/YZJGPY)

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Document Description

Citation

Title:

Most Important Problems in Lithuania, May - July 2024

Identification Number:

hdl:21.12137/YZJGPY

Distributor:

Lithuanian Data Archive for SSH (LiDA)

Date of Distribution:

2024-12-23

Version:

2

Bibliographic Citation:

Butkevičienė, Eglė; Bryer, Thomas; Jurkevičienė, Jurgita; Morkevičius, Vaidas; Valentinavičius, Vytautas, 2024, "Most Important Problems in Lithuania, May - July 2024", https://hdl.handle.net/21.12137/YZJGPY, Lithuanian Data Archive for SSH (LiDA), V2

Study Description

Citation

Title:

Most Important Problems in Lithuania, May - July 2024

Identification Number:

hdl:21.12137/YZJGPY

Identification Number:

LiDA_SurveyData_0550

Authoring Entity:

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; Data Curation])

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

Other identifications and acknowledgements:

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])

Date of Production:

2024-07-27

Software used in Production:

SPSS

Grant Number:

S-VIS-23-14

Distributor:

Lithuanian Data Archive for SSH (LiDA)

Distributor:

Lithuanian Data Archive for Social Sciences and Humanities

Access Authority:

Center for Data Analysis and Archiving (DAtA)

Depositor:

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])

Date of Deposit:

2024-08-16

Date of Distribution:

2024-12-23

Series Name:

Monitoring Social Problems

Series Information:

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

Holdings Information:

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

Study Scope

Keywords:

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

Topic Classification:

Government, political systems and organisations

Abstract:

<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. <br/> <b><i>Additional questions</i></b>: interest in politics, self-placement on left-right scale, use of the media for political news and information, assessment of the bias in the media coverage of politics in Lithuania, voting in the last (2020) Parliamentary (Seimas) elections, party voted for in the last (2020) Parliamentary (Seimas) elections. <br/> <b><i>Socio-demographic characteristics</i></b>: sex, age, year of birth, years of schooling or study, highest level of education, nationality, employment sector: public or private, self-assessment of social status, respondent's average net income per month, household’s average net income per month, subjective assessment of household’s financial situation, assessment of the change of household’s financial situation compared to 12 months ago, respondent's description of domicile, place of residence, 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>

Time Period:

2024-05-22-2024-07-27

Date of Collection:

2024-05-22-2024-07-27

Country:

Lithuania

Geographic Unit(s):

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

Unit of Analysis:

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

Universe:

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.).

Kind of Data:

Survey data

Notes:

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

Methodology and Processing

Time Method:

<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)

Data Collector:

UAB "Eurotela"

Frequency of Data Collection:

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

Sampling Procedure:

<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 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>

Mode of Data Collection:

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

Type of Research Instrument:

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

Sources Statement

Control Operations:

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.

Cleaning Operations:

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

Notes:

<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>

Data Access

Archive Where Study was Originally Stored:

Research Group – Civil Society and Sustainability, Institute of Public Policy and Administration, 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

Availability Status:

<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> <p>Showcards (2, PDF format) = Kortelės (2, PDF formatu)</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 (16, įvairūs formatai) = Other files related to the dataset (16, different formats). </p>

Confidentiality Declaration:

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.

Restrictions:

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.

Citation Requirement:

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.

Conditions:

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>).

Disclaimer:

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.

Notes:

<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>

Other Study Description Materials

Related Studies

<p><a href="https://hdl.handle.net/21.12137/PEBAHL" target="_blank"> Most Important Problems in Lithuania, March 2022 </a></p> <p><a href="https://hdl.handle.net/21.12137/7MIKLW" target="_blank"> Most Important Problems in Lithuania, May 2023 </a></p>

Other Study-Related Materials

Label:

LiDA_SurveyData_0550_Archive_v2.tar.gz

Text:

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.

Notes:

application/x-gzip

Other Study-Related Materials

Label:

LiDA_SurveyData_0550_Data_v2.tar.gz

Text:

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.

Notes:

application/x-gzip

Other Study-Related Materials

Label:

LiDA_SurveyData_0550_Internal_documents_v1.tar.gz

Text:

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.

Notes:

application/x-gzip

Other Study-Related Materials

Label:

LiDA_SurveyData_0550_Questionnaires_v1.tar.gz

Text:

Klausimynai ir kortelės = Questionnaires and showcards

Notes:

application/x-gzip