Barometer of the Public Opinion Research Center, June 1993 (hdl:21.12137/XFDVHG)

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Part 1: Document Description
Part 2: Study Description
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Part 4: Variable Description
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Document Description

Citation

Title:

Barometer of the Public Opinion Research Center, June 1993

Identification Number:

hdl:21.12137/XFDVHG

Distributor:

Lithuanian Data Archive for SSH (LiDA)

Date of Distribution:

2021-10-07

Version:

5

Bibliographic Citation:

Public Opinion Research Center at the Institute of Philosophy, Sociology and Law of the Lithuanian Academy of Sciences, 2021, "Barometer of the Public Opinion Research Center, June 1993", https://hdl.handle.net/21.12137/XFDVHG, Lithuanian Data Archive for SSH (LiDA), V5, UNF:6:uJVL/HeB842T0JG9XaSdBw== [fileUNF]

Study Description

Citation

Title:

Barometer of the Public Opinion Research Center, June 1993

Identification Number:

hdl:21.12137/XFDVHG

Identification Number:

LiDA_SurveyData_0278

Authoring Entity:

Public Opinion Research Center at the Institute of Philosophy, Sociology and Law of the Lithuanian Academy of Sciences

Other identifications and acknowledgements:

Žvaliauskas, Giedrius

Other identifications and acknowledgements:

Vilčinskas, Vidas

Date of Production:

1993-06-14

Software used in Production:

SPSS

Distributor:

Lithuanian Data Archive for SSH (LiDA)

Distributor:

Lithuanian Data Archive for Social Sciences and Humanities

Access Authority:

Žvaliauskas, Giedrius

Depositor:

Gaidys, Vladas (Lithuanian Social Research Centre)

Date of Deposit:

2020-01-20

Date of Distribution:

2021-07-27

Series Name:

Barometer of the Public Opinion Research Center

Series Information:

Dataverse collection “Barometer of the Public Opinion Research Center” contains surveys conducted in 1989-1993 by the Public Opinion Research Center that studied Lithuanian public opinion about then relevant political, social and economic issues.

Holdings Information:

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

Study Scope

Keywords:

Social Sciences, legislature, heads of government, political leaders, political parties, economic reform, standard of living, economic conditions, political, social and economic issues

Topic Classification:

Economic conditions and indicators, Consumption and consumer behaviour, Government, political systems and organisations

Abstract:

<b><i>The purpose of the study</i></b>: to investigate the attitudes of Lithuanian population about the most important political, social and economic issues during the rapid transformation of society and state. <br> <b><i>Major investigated questions</i></b>: respondents were asked how A. M. Brazauskas performs the duties of the President, and Č. Juršėnas and A. Šleževičius hold the respective positions of the Speaker of the Seimas and the Prime Minister. Opinions were sought on how the activities of the Seimas and the Government correspond to the interests of the people. Respondents were asked to assess the current economic situation in Lithuania and what respondents think will be the economic situation in Lithuania after 12 months. Also, the respondents assessed their current economic situation (their family) and the material situation of the respondents (their family) after 12 months respectively. It was asked which political party or movement respondents sympathized with and which party, according to the respondents, would receive the most votes. After asking a block of questions, it was wanted to know what actions respondents would take to help the political party they sympathize with. The LDDP's economic and social policy was further evaluated. After listing all the Prime Ministers, respondents were asked to answer who of them was or is most suitable for this position. Residents of Lithuania who participated in the survey were asked to answer whether they read newspaper "Echo of Lithuania" and whether they intend to participate in the events when Pope John Paul II arrive in Lithuania. They were asked whether they had personally received or expected to receive land under current Lithuanian property restitution laws. The amount of taxes paid by private entrepreneurs to the state was assessed. At the end of the survey, respondents were asked to express their attitude towards abortion and to evaluate their health condition. <br> <b><i>Socio-demographic characteristics</i></b>: gender, age, nationality, country of birth, education, work status, employment, occupation, average monthly income of respondent, monthly family income per one family member, place of residence.

Time Period:

1993-06-09-1993-06-14

Date of Collection:

1993-06-09-1993-06-14

Country:

Lithuania

Geographic Coverage:

Vilnius City, Kaunas City, Klaipėda City, Šiauliai City, Panevėžys City, Alytus City, Kapsukas (Marijampolė) City, Druskininkai City, Sniečkus (Visaginas) City

Geographic Unit(s):

Tauragė District, Telšiai District, Skuodas District, Kėdainiai District, Radviliškis District, Kupiškis District, Molėtai District, Šalčininkai District, Varėna District, Šakiai District

Unit of Analysis:

Individual <a href="http://vocabularies.cessda.eu:80/urn/urn:ddi:int.ddi.cv:AnalysisUnit:2.1" target="_blank"> (DDI Alliance Controlled Vocabulary for AnalysisUnit)</a>

Universe:

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

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> <p> Dataset (data and metadata) “Barometer of the Public Opinion Resarch Center, June 1993” from 2021-07-27 to 2021-10-01 was available on the portal of Lithuanian Data Archive for Humanities and Social Sciences (LiDA) www.lidata.eu; object PID: www.lidata.eu/data/quant/LiDA_VNTC_0343; produced by Žvaliauskas Giedrius 2021-07-27. </p>

Methodology and Processing

Time Method:

Longitudinal: Trend /Repeated cross-section <a href="https://vocabularies.cessda.eu/urn/urn:ddi:int.ddi.cv:TimeMethod:1.2" target="_blank"> (Alliance Controlled Vocabulary for TimeMethod</a>)

Data Collector:

Public Opinion Research Center at the Institute of Philosophy, Sociology and Law of the Lithuanian Academy of Sciences

Sampling Procedure:

<p> <b> Mixed probability and non-probability sampling </b><a href=" https://vocabularies.cessda.eu/urn/urn:ddi:int.ddi.cv:SamplingProcedure:1.1" target="_blank">(DDI Alliance Controlled Vocabulary for SamplingProcedure</a>) </p> <p> Multistage (4-stage) sampling design. </p> <p> <b> First stage. The territory of Lithuania was divided into 4 strata. </p> </b> <p> a) Biggest cities: Vilnius, Kaunas, Klaipėda, Šiauliai, Panevėžys, Alytus, Kapsukas (currently Marijampolė). </p> <p> b) Lithuanian districts were divided into 6 strata according to the ethnographic regions of Lithuania: The first stratum – Žemaitija (Samogitia), which included the following districts: Akmenė, Joniškis, Kelmė, Klaipėda, Kretinga, Mažeikiai, Plungė, Skuodas, Šilalė, Šilutė, Tauragė, Telšiai. The second stratum – Aukštaitija: Anykščiai, Biržai, Ignalina, Kupiškis, Molėtai, Panevėžys, Pasvalys, Rokiškis, Ukmergė, Zarasai districts. The third stratum – Central Lithuania: Jonava, Kaunas, Kaišiadorys, Kėdainiai, Pakruojis, Radviliškis, Raseiniai districts. The fourth stratum – East Lithuania: Trakai, Šalčininkai, Širvintos, Švenčionys, Vilnius districts. The fifth stratum – Dzūkija: districts of Alytus, Varėna. The sixth stratum – Suvalkija: Lazdijai, Kapsukas (currently Marijampolė), Prienai, Šakiai, Vilkaviškis districts. <p> </p> c) Resort towns: Birštonas, Druskininkai, Neringa, Palanga. <p> </p> d) Specific town: Sniečkus (currently Visaginas). </p> <p> The sample was divided into strata proportionally to their population. </p> <p> <b> Second stage. In each stratum a number of clusters (cities and districts) was selected. </p> </b> <p> a) All the biggest cities were included into the sample. </p> <p> b) From each stratum of districts, districts were selected on the basis of the share of population 60 years and older in the district. After calculating squared deviations from the mean, the most typical 10 districts (clusters) – deviating the least from the mean – in each stratum of districts were selected: In the stratum of Žemaitija (Samogitia): the districts of Tauragė, Telšiai and Skuodas. In the stratum of Central Lithuania: the districts of Kėdainiai and Radviliškis. In the Aukštaitija stratum: the districts of Kupiškis and Molėtai. In the East Lithuania stratum – Šalčininkai district. In the Dzūkija stratum – Varėna district. In the Suvalkija stratum – Šakiai district. </p> <p> c) From the strata of resort towns, on the basis of the same criterion (least squared deviation from the city proportion of the population aged 60 and over), one cluster was selected – Druskininkai. <p> </p> d) Sniečkus (currently Visaginas). </p> <p> <b> Third stage. In each cluster of the second stage, a certain number (proportionally to the population) of third stage clusters, identified as electoral districts, was chosen. </p> </b> <p> Electoral districts belonging to 19 clusters – selected on the second stage (7 biggest cities, 10 districts, the resort town of Druskininkai, and Sniečkus (currently Visaginas)) based on the administrative unit boundaries – were selected. Prior to the selection of electoral districts in Vilnius, Vilnius was divided into 7 strata, from each of which a cluster (district) was selected (7 districts in total); Kaunas was divided into 5 strata and in each of them 1 district was selected (5 in total); the other major cities were divided into 3 strata and in each of them a cluster (electoral district) was selected (3 districts in total). In the biggest cities stratum, electoral districts were systematically selected from the numbered lists of electoral districts. In the district strata, the selection criterion was the distance of the electoral districts from the center of the administrative units. The furthest, the average and the closest electoral districts were selected. The sample was proportional to the population of rural areas, towns, administrative units’ centers and cities. A total of 76 electoral districts were selected. <p> </p> <b> Fourth stage. In each cluster of the third stage, a certain number (proportionally to the population) of voters – respondents was selected. </p> </b> <p> The potential respondents were systematically sampled from the electoral rolls of the electoral districts. The sampling interval was calculated by dividing the total number of voters in the electoral district by the number of respondents expected to be surveyed. Electoral rolls were usually sorted by street (not alphabetically), so this method of selection ensured a random selection of respondents. The names and addresses of the persons to be interviewed were written on special cards. </p>

Mode of Data Collection:

Face-to-face interview: Paper-and- pencil (PAPI) and Self-administered questionnaire: Paper <a href="https://vocabularies.cessda.eu/urn/urn:ddi:int.ddi.cv:ModeOfCollection:4.0" target="_blank"> (DDI Alliance Controlled Vocabulary for ModeOfCollection</a>)

Type of Research Instrument:

Structured questionnaire <a href="https://vocabularies.cessda.eu/urn/urn:ddi:int.ddi.cv:TypeOfInstrument:1.1" target="_blank"> (DDI Alliance Controlled Vocabulary for TypeOfInstrument)</a>

Sources Statement

Notes:

The original research questionnaire has not survived, therefore the questionnaire was restored from the SPSS data file, using the labels and categories of the variables, and information retrieved from the following publication: Gaidys, Vladas; Danutė Tureikytė (2015). Public opinion research in the period of Lithuania's historical transition. Lithuanian Social Research Center.

Data Access

Archive Where Study was Originally Stored:

Lietuvos socialinių mokslų centras, Lietuva = Lithuanian Centre for Social Sciences, Lithuania

Extent of Collection:

<b>Pagrindiniai failai = Main files</b> <p>Duomenų failai (1, SPSS SAV formatu) = Data files (1, SPSS SAV format).</p> <p>Klausimynai (1, PDF formatu) = Questionnaires (1, PDF format).</p> <b>Kiti failai = Other files</b> <p>Sintaksės failai (1, SPSS SPS formatu) = Syntax files (1, SPSS SPS format).</p> <p>Originalūs depozitoriaus pateikti duomenų failai (1, SPSS SAV formatu) = Original data files deposited by the depositor (1, SPSS SAV format).</p> <p>Kiti su duomenų rinkiniu susiję failai (3, įvairūs formatai) = Other files related to the dataset (3, different formats). </p>

Confidentiality Declaration:

<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>

Restrictions:

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.

Citation Requirement:

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.

Conditions:

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>).

Disclaimer:

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.

Notes:

<p>Duomenys yra prieinami LiDA Dataverse talpyklos vartotojams pagal <a href="https://cc.lnb.lt/cc-by-sa" target="_blank">„Creative Commons“ 4.0 priskyrimo ir analogiško platinimo tarptautinės viešosios licencijos (CC BY-SA 4.0)</a> sąlygas, jei nenumatyta kitaip. Jei norima naudoti kitaip licencijuojamus duomenis, reikia kreiptis dėl galimybės naudotis konkrečiais duomenimis (raštu ar el. paštu: <a href="mailto:data@ktu.lt">data@ktu.lt</a>). 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 <a href="https://cc.lnb.lt/cc-by-sa" target="_blank">„Creative Commons“ 4.0 priskyrimo ir analogiško platinimo tarptautinę viešąją licenciją (CC BY-SA 4.0)</a>.</p> <hr> <p>The data is available to the users of the LiDA Dataverse repository under the <a href="https://creativecommons.org/licenses/by-sa/4.0" target="_blank">Creative Commons Attribution-ShareAlike 4.0 International licence (CC BY-SA 4.0)</a>, if not indicated otherwise. Individuals and organizations wishing to use data licensed differently must apply for access to the specific data (in written form or by email: <a href="mailto:data@ktu.lt">data@ktu.lt</a>). Regardless of the data access restrictions, everyone can browse and use all the descriptions of the data stored in the LiDA Dataverse repository (metadata, including fieldwork resources, research instruments and other data collection information) as well as other information under the <a href="https://creativecommons.org/licenses/by-sa/4.0" target="_blank">Creative Commons Attribution-ShareAlike 4.0 International licence (CC BY-SA 4.0)</a>.</p> <img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by-sa/4.0/88x31.png"/>

<p>Jei norite gauti depozitoriaus perduotą tyrimo duomenų failą, ankstesnes duomenų failų versijas SPSS formatu arba pirminio apdorojimo SPSS komandų sintaksę, rašykite <a href="mailto:data@ktu.lt">data@ktu.lt</a>.</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 <a href="mailto:data@ktu.lt">data@ktu.lt</a>.</p> <p>Access to the LiDA internal documents related to the published dataset is not provided.</p>

Other Study Description Materials

Related Publications

Citation

Identification Number:

978-9955-531-54-8

Bibliographic Citation:

Gaidys, Vladas; Danutė Tureikytė (2015). Visuomenės nuomonės tyrimai Lietuvos istorinio lūžio laikotarpiu. Vilnius: Lietuvos socialinių tyrimų centras.

File Description--f752

File: LiDA_SurveyData_0278_Data_v1.tab

  • Number of cases: 1633

  • No. of variables per record: 44

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

Notes:

UNF:6:uJVL/HeB842T0JG9XaSdBw==

Survey

Variable Description

List of Variables:

  • id_lida - Tyrimo identifikacinis numeris (LiDA)
  • version - Versija (LiDA)
  • ID - Respondento identifikacinis numeris
  • K1 - K1|Kaip Algirdas Brazauskas atlieka Prezidento pareigas
  • K2 - K2|Kaip �eslovas Jur��nas atlieka Seimo pirmininko pareigas
  • K3 - K3|Kaip Seimo veikla atitinka �moni� interesus
  • K4 - K4|Kaip Adolfas �le�evi�ius atlieka Ministro Pirmininko pareigas
  • K5 - K5|Kaip Vyriausyb�s veikla atitinka �moni� interesus
  • K6 - K6|Kaip vertina dabartin� Lietuvos ekonomin� pad�t�
  • K7 - K7|Kokia bus Lietuvos ekonomin� pad�tis po 12 m�nesi�
  • K8 - K8|Kaip vertina dabartin� savo (savo �eimos) materialin� pad�t�
  • K9 - K9|Kokia bus respondento �eimos (respondento) materialin� pad�tis po 12 m�nesi�
  • K10 - K10|Kokiai politinei partijai ar jud�jimui �iuo metu simpatizuoja
  • K11 - K11|Kokia partija surinkt� daugiausia bals�
  • K12_1 - K12.1|Jei simpatizuoja, sutikt�: ateiti � partijos organizuojam� miting�
  • K12_2 - K12.2|Jei simpatizuoja, sutikt�: diskutuoti su nepa��stamais
  • K12_3 - K12.3|Jei simpatizuoja, sutikt�: ginti �ios partijos pozicijas
  • K12_4 - K12.4|Jei simpatizuoja, sutikt�: platinti �ios partijos literat�r�
  • K13 - K13|Kaip vertina LDDP ekonomin� ir socialin� politik�
  • K14 - K14|Kuris asmuo buvo ar yra tinkamiausias Ministro Pirmininko pareigoms
  • K15 - K15|Ar skaito �Lietuvos aid��
  • K16 - K16|Ar ketina dalyvauti renginiuose atvykus Romos popie�iui Jonui Pauliui II
  • K17 - K17|Ar gavo ar tikisi gauti �em�s pagal nuosavyb�s gr��inimo �statymus
  • K18 - K18|Ar priva�i� verslinink� mokes�iai valstybei yra per dideli ar per ma�i
  • K19 - K19|Koks respondento po�i�ris � abortus
  • K20 - K20|Kokia respondento sveikata
  • S1 - S1|Lytis
  • S2 - S2|Am�ius
  • S2_r1 - S2|Am�iaus grup�s (LiDA 1)
  • S2_r2 - S2|Am�iaus grup�s (LiDA 2)
  • S3 - S3|Tautyb�
  • S4 - S4|Gimimo �alis
  • S5 - S5|Jei gim� ne Lietuvoje, kiek met� gyvena
  • S6 - S6|I�simokslinimas
  • S7 - S7|Darbinis statusas
  • S8 - S8|U�si�mimas
  • S9 - S9|U�imtumas
  • S10 - S10|Respondento pajamos paskutin� m�nes� (laikinieji pinigai talonai, tl.)
  • S10_r - S10|Pajam� grup�s (laikinieji pinigai talonai, tl.) (VNTC)
  • S11 - S11|Pajamos vienam �eimos nariui per m�nes� (laikinieji pinigai talonai, tl.)
  • S11_r - S11|Pajam� grup�s (laikinieji pinigai talonai, tl.) (VNTC)
  • S12 - S12|Gyvenamoji vieta
  • S12_r - S12|Gyvenamoji vieta (VNTC)
  • MK - Miesto kodas

Variables

Tyrimo identifikacinis numeris (LiDA)

f752 Location:

Variable Format: character

Notes: UNF:6:5L/Eq7VFlEZCEBQVYHuyKA==

Versija (LiDA)

f752 Location:

Variable Format: character

Notes: UNF:6:Ho2enbSLU7dXDvPX2kPXNA==

Respondento identifikacinis numeris

f752 Location:

Summary Statistics: Max. 1633.0; StDev 471.55081027039563; Min. 1.0; Valid 1633.0; Mean 817.0

Variable Format: numeric

Notes: UNF:6:vsHnBOeAZr74pW5A4Ekr+g==

K1|Kaip Algirdas Brazauskas atlieka Prezidento pareigas

f752 Location:

Value

Label

Frequency

Text

3.

Grei�iau blogai

265

2.

Grei�iau gerai

634

0.

Neatsak�

1

1.

Labai gerai

171

5.

Sunku pasakyti

453

4.

Labai blogai

109

Summary Statistics: Min. 0.0; Max. 5.0; Valid 1633.0; StDev 1.4105707301337118; Mean 3.0220453153704807;

Variable Format: numeric

Notes: UNF:6:ZCRXmzTmdsX9U+qFWwK6Bg==

K2|Kaip �eslovas Jur��nas atlieka Seimo pirmininko pareigas

f752 Location:

Value

Label

Frequency

Text

0.

Neatsak�

0

5.

Sunku pasakyti

577

4.

Labai blogai

187

2.

Grei�iau gerai

462

1.

Labai gerai

127

3.

Grei�iau blogai

280

Summary Statistics: Min. 1.0; Valid 1633.0; StDev 1.405912109511556; Max. 5.0; Mean 3.3827311696264557;

Variable Format: numeric

Notes: UNF:6:+KI02/tg++k3v88bhZ0pPg==

K3|Kaip Seimo veikla atitinka �moni� interesus

f752 Location:

Value

Label

Frequency

Text

4.

Visi�kai neatitinka

272

3.

Grei�iau neatitinka

506

0.

Neatsak�

1

1.

Visi�kai atitinka

41

5.

Sunku pasakyti

398

2.

Beveik atitinka

415

Summary Statistics: Min. 0.0; StDev 1.1753271297356331; Mean 3.347826086956522; Max. 5.0; Valid 1633.0;

Variable Format: numeric

Notes: UNF:6:yN6B9vm2zeVHvpmWXQekWg==

K4|Kaip Adolfas �le�evi�ius atlieka Ministro Pirmininko pareigas

f752 Location:

Value

Label

Frequency

Text

3.

Grei�iau blogai

239

2.

Grei�iau gerai

472

5.

Sunku pasakyti

768

0.

Neatsak�

1

1.

Labai gerai

90

4.

Labai blogai

63

Summary Statistics: Max. 5.0; Valid 1633.0; Min. 0.0; StDev 1.4497918973126704; Mean 3.5780771586037976

Variable Format: numeric

Notes: UNF:6:U8AdEraMs614NhWhs/1KWA==

K5|Kaip Vyriausyb�s veikla atitinka �moni� interesus

f752 Location:

Value

Label

Frequency

Text

5.

Sunku pasakyti

383

2.

Beveik atitinka

462

3.

Grei�iau neatitinka

471

4.

Visi�kai neatitinka

246

1.

Visi�kai atitinka

55

0.

Neatsak�

16

Summary Statistics: Valid 1633.0; Max. 5.0; Mean 3.240048989589713; Min. 0.0; StDev 1.2401328192428667

Variable Format: numeric

Notes: UNF:6:wbSPr3zmYNABeDu9lBo8Nw==

K6|Kaip vertina dabartin� Lietuvos ekonomin� pad�t�

f752 Location:

Value

Label

Frequency

Text

0.

Nei �iaip nei taip

105

6.

Neturiu nuomon�s

73

7.

Neatsak�

4

Summary Statistics: Mean -2.431720759338638; Min. -5.0; Max. 7.0; Valid 1633.0; StDev 2.836716211247296;

Variable Format: numeric

Notes: UNF:6:ML83/NL9nws/IlK/3i5nEQ==

K7|Kokia bus Lietuvos ekonomin� pad�tis po 12 m�nesi�

f752 Location:

Value

Label

Frequency

Text

4.

�iek tiek pager�s

459

2.

�iek tiek pablog�s

292

1.

�ymiai pablog�s

130

0.

Neatsak�

14

3.

Nepasikeis

393

6.

Sunku pasakyti

308

5.

�ymiai pager�s

37

Summary Statistics: Min. 0.0; StDev 1.5381038395070614; Valid 1633.0; Mean 3.5284751990202086; Max. 6.0

Variable Format: numeric

Notes: UNF:6:wDX1U3wgXIsaWSJ9HSAltw==

K8|Kaip vertina dabartin� savo (savo �eimos) materialin� pad�t�

f752 Location:

Value

Label

Frequency

Text

6.

Neturiu nuomon�s

32

0.

Nei �iaip nei taip

189

7.

Neatsak�

3

Summary Statistics: Mean -1.6895284751990198; Valid 1633.0; Min. -5.0; Max. 7.0; StDev 2.8645473816202633

Variable Format: numeric

Notes: UNF:6:S4yn/iBejVGaTdiWPZaqIQ==

K9|Kokia bus respondento �eimos (respondento) materialin� pad�tis po 12 m�nesi�

f752 Location:

Value

Label

Frequency

Text

2.

�iek tiek pablog�s

231

3.

Nepasikeis

556

4.

�iek tiek pager�s

337

6.

Sunku pasakyti

353

1.

�ymiai pablog�s

127

0.

Neatsak�

2

5.

�ymiai pager�s

27

Summary Statistics: StDev 1.5290918794085944; Valid 1633.0; Max. 6.0; Min. 0.0; Mean 3.58726270667483

Variable Format: numeric

Notes: UNF:6:NxqhYJZYvPzUSOW+KH43HA==

K10|Kokiai politinei partijai ar jud�jimui �iuo metu simpatizuoja

f752 Location:

Value

Label

Frequency

Text

2.

T�vyn�s s�jungai

163

1.

DDP (Lietuvos demokratin� darbo partijai)

592

4.

KDP (Lietuvos krik��ioni� demokrat� partijai)

143

3.

S�j�d�iui

50

5.

SDP (Lietuvos socialdemokrat� partijai)

85

12.

Jokiai partijai

53

8.

Liberal� s�jungai

21

0.

Neatsak�

7

6.

DP (Lietuvos demokrat� partija)

9

11.

Ne�inau

413

10.

Kita partijai

14

9.

Tautinink� s�jungai

17

7.

Centro jud�jimui

66

Summary Statistics: Mean 5.034292712798529; Min. 0.0; Valid 1633.0; Max. 12.0; StDev 4.28775613824188;

Variable Format: numeric

Notes: UNF:6:l7IIr6psZ6mxR4UVT0VlzQ==

K11|Kokia partija surinkt� daugiausia bals�

f752 Location:

Value

Label

Frequency

Text

1.

DDP (Lietuvos demokratin� darbo partija)

903

9.

Tautinink� s�junga

3

7.

Centro jud�jimas

34

11.

Ne�inau

147

2.

T�vyn�s s�junga

225

10.

Kita partija

1

8.

Liberal� s�junga

8

4.

KDP (Lietuvos krik��ioni� demokrat� partija)

51

6.

DP (Lietuvos demokrat� partija)

4

0.

Neatsak�

147

3.

S�j�dis

62

12.

Jokia partija

22

5.

SDP (Lietuvos socialdemokrat� partija)

26

Summary Statistics: Min. 0.0; Mean 2.521126760563375; Max. 12.0; StDev 3.233889284762793; Valid 1633.0

Variable Format: numeric

Notes: UNF:6:pq7cB7AJNsOhDU8mSe/yNg==

K12.1|Jei simpatizuoja, sutikt�: ateiti � partijos organizuojam� miting�

f752 Location:

Value

Label

Frequency

Text

1.

Taip

870

2.

Ne

565

0.

Neatsak�

198

Summary Statistics: StDev 0.6457442290164229; Min. 0.0; Valid 1633.0; Mean 1.2247397428046556; Max. 2.0

Variable Format: numeric

Notes: UNF:6:yWe+X+g0duybmQscBq39nQ==

K12.2|Jei simpatizuoja, sutikt�: diskutuoti su nepa��stamais

f752 Location:

Value

Label

Frequency

Text

2.

Ne

729

0.

Neatsak�

278

1.

Taip

626

Summary Statistics: Mean 1.2761788120024484; Min. 0.0; StDev 0.7353317894363777; Valid 1633.0; Max. 2.0;

Variable Format: numeric

Notes: UNF:6:iGxDB86cCvzS8lvQkDdV0A==

K12.3|Jei simpatizuoja, sutikt�: ginti �ios partijos pozicijas

f752 Location:

Value

Label

Frequency

Text

2.

Ne

856

1.

Taip

471

0.

Neatsak�

306

Summary Statistics: StDev 0.7736302387204997; Valid 1633.0; Max. 2.0; Min. 0.0; Mean 1.33680342927128;

Variable Format: numeric

Notes: UNF:6:jHnDeHMfRioZVd0tld++Jg==

K12.4|Jei simpatizuoja, sutikt�: platinti �ios partijos literat�r�

f752 Location:

Value

Label

Frequency

Text

0.

Neatsak�

304

1.

Taip

442

2.

Ne

887

Summary Statistics: StDev 0.776043816661954; Valid 1633.0; Mean 1.357011635027555; Max. 2.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:CnRI1q+eXs6Gez5RGUEtJg==

K13|Kaip vertina LDDP ekonomin� ir socialin� politik�

f752 Location:

Value

Label

Frequency

Text

5.

Sunku pasakyti

437

2.

Grei�iau gerai

509

0.

Neatsak�

12

3.

Grei�iau blogai

393

4.

Labai blogai

228

1.

Labai gerai

54

Summary Statistics: Valid 1633.0; Min. 0.0; Mean 3.274954072259644; StDev 1.2827918440529538; Max. 5.0;

Variable Format: numeric

Notes: UNF:6:wopeOfWkT7UFv5DcKXnKaA==

K14|Kuris asmuo buvo ar yra tinkamiausias Ministro Pirmininko pareigoms

f752 Location:

Value

Label

Frequency

Text

1.

K. Prunskien�

236

7.

N� vienas

467

5.

B. Lubys

234

3.

G. Vagnorius

226

4.

A. Abi�ala

79

2.

A. �im�nas

35

6.

A. �le�evi�ius

322

0.

Neatsak�

34

Summary Statistics: Max. 7.0; Mean 4.6974892835272515; StDev 2.2091276373108077; Valid 1633.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:Xs4KuaxvdetR2E2gkf7qvA==

K15|Ar skaito �Lietuvos aid��

f752 Location:

Value

Label

Frequency

Text

3.

Retkar�iais

476

4.

Neskaitau

889

2.

Da�nai

97

0.

Neatsak�

4

1.

Taip, nuolatos

167

Summary Statistics: Min. 0.0; Valid 1633.0; StDev 0.9802553922233472; Mean 3.2731169626454397; Max. 4.0

Variable Format: numeric

Notes: UNF:6:2Bsc+wDFaK5sIxyNfktgeg==

K16|Ar ketina dalyvauti renginiuose atvykus Romos popie�iui Jonui Pauliui II

f752 Location:

Value

Label

Frequency

Text

4.

Man�s tai nedomina

177

3.

�i�r�siu per TV

947

1.

Taip

377

0.

Neatsak�

5

2.

Neapsisprend�iau

127

Summary Statistics: Max. 4.0; Valid 1633.0; StDev 0.9715400710347679; Mean 2.5597060624617307; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:bdRORNctXvLqxR0D0oB/bQ==

K17|Ar gavo ar tikisi gauti �em�s pagal nuosavyb�s gr��inimo �statymus

f752 Location:

Value

Label

Frequency

Text

1.

Nepriklauso

838

3.

�em�s neimsiu

215

2.

Negaliu gauti

199

0.

Neatsak�

16

4.

Gavau arba tikiuosi

365

Summary Statistics: Mean 2.045927740355177; Min. 0.0; StDev 1.2557601155533444; Valid 1633.0; Max. 4.0

Variable Format: numeric

Notes: UNF:6:ZdQ8fwoDs6ypKk74X/ObIQ==

K18|Ar priva�i� verslinink� mokes�iai valstybei yra per dideli ar per ma�i

f752 Location:

Value

Label

Frequency

Text

4.

Ne�inau

700

1.

Per dideli

389

2.

Normal�s

231

0.

Neatsak�

10

3.

Per ma�i

303

Summary Statistics: StDev 1.2393234837237443; Min. 0.0; Valid 1633.0; Mean 2.7924066135946135; Max. 4.0

Variable Format: numeric

Notes: UNF:6:JUDhKvvmJselsQ9xk/TNTA==

K19|Koks respondento po�i�ris � abortus

f752 Location:

Value

Label

Frequency

Text

4.

Neturiu nuomon�s

210

1.

Pritariu �statymams

756

3.

Abortai turi b�ti u�drausti

288

0.

Neatsak�

7

2.

Numatyti i�imtis

372

Summary Statistics: StDev 1.0817237430410755; Max. 4.0; Min. 0.0; Valid 1633.0; Mean 1.9620330679730555

Variable Format: numeric

Notes: UNF:6:hVvRvQOdh73ziNp+DQ+veQ==

K20|Kokia respondento sveikata

f752 Location:

Value

Label

Frequency

Text

3.

Rimtai sergu

182

1.

Esu sveikas

660

0.

Neatsak�

7

2.

Nesu visai sveikas

784

Summary Statistics: StDev 0.6650258451085178; Max. 3.0; Mean 1.6987140232700548; Valid 1633.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:6SLamOuO21VtUJzimtjsMg==

S1|Lytis

f752 Location:

Value

Label

Frequency

Text

2.

Moterys

943

1.

Vyrai

690

0.

Neatsak�

0

Summary Statistics: Mean 1.5774647887323938; StDev 0.4941140716720821; Min. 1.0; Max. 2.0; Valid 1633.0

Variable Format: numeric

Notes: UNF:6:MW8K6Ffyvav9rh7Wu2v61Q==

S2|Am�ius

f752 Location:

Value

Label

Frequency

Text

0.

Neatsak�

20

Summary Statistics: Min. 0.0; Max. 98.0; Valid 1633.0; StDev 17.867689599282166; Mean 44.81996325780773;

Variable Format: numeric

Notes: UNF:6:C5fQFVCBHusYo54MLlgJ9A==

S2|Am�iaus grup�s (LiDA 1)

f752 Location:

Value

Label

Frequency

Text

6.

70 met� ir vyresni

162

1.

18-29 met�

342

2.

30-39 met�

347

3.

40-49 met�

281

4.

50-59 met�

260

5.

60-69 met�

219

9.

Jaunesni nei 18 met�

2

0.

Neatsak�

20

Summary Statistics: Valid 1633.0; Min. 0.0; StDev 1.6705069645126271; Mean 3.0642988364972448; Max. 9.0;

Variable Format: numeric

Notes: UNF:6:t/I7oXxu7RZDHrzqQR8kVA==

S2|Am�iaus grup�s (LiDA 2)

f752 Location:

Value

Label

Frequency

Text

9.

Jaunesni nei 18 met�

2

1.

18-24 met�

195

2.

25-34 met�

332

0.

Neatsak�

20

4.

45-54 met�

273

6.

65 met� ir vyresni

262

3.

35-44 met�

310

5.

55-64 met�

239

Summary Statistics: Mean 3.469687691365585; Max. 9.0; StDev 1.6771879076011618; Valid 1633.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:F0DkTPMlaQqVORVT3nF3+A==

S3|Tautyb�

f752 Location:

Value

Label

Frequency

Text

3.

Lenkai

117

0.

Neatsak�

2

5.

Kiti

30

2.

Rusai

148

1.

Lietuviai

1311

4.

Baltarusiai

25

Summary Statistics: Mean 1.3521126760563336; StDev 0.8286147825645926; Min. 0.0; Max. 5.0; Valid 1633.0

Variable Format: numeric

Notes: UNF:6:klwlgE0irFBTmJpScxRuKQ==

S4|Gimimo �alis

f752 Location:

Value

Label

Frequency

Text

0.

Neatsak�

2

2.

Kitur

165

1.

Lietuvoje

1466

Summary Statistics: StDev 0.30390629288820964; Max. 2.0; Min. 0.0; Valid 1633.0; Mean 1.0998162890385799

Variable Format: numeric

Notes: UNF:6:LR1CnSNHXWGQLiX7297LBg==

S5|Jei gim� ne Lietuvoje, kiek met� gyvena

f752 Location:

Value

Label

Frequency

Text

1.

Ma�iau negu 5 metus

6

2.

6-10 met�

20

0.

Neatsak�

1

3.

11-20 met�

36

9.

Neatsakin�ta (S4 = 0, 1)

1468

4.

Vir� 20 met�

102

Summary Statistics: Mean 8.434782608695649; Max. 9.0; Valid 1633.0; StDev 1.7094934513438318; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:DHwlSsgF21IZvU4OHlixmw==

S6|I�simokslinimas

f752 Location:

Value

Label

Frequency

Text

4.

Specialus vidurinis

388

0.

Neatsak�

5

3.

Vidurinis

428

1.

Pradinis

298

5.

Nebaigtas auk�tasis ir auk�tasis

278

2.

Nepilnas vidurinis

236

Summary Statistics: Min. 0.0; Mean 3.059399877526023; Max. 5.0; StDev 1.3483918825935146; Valid 1633.0;

Variable Format: numeric

Notes: UNF:6:9amwEMiwD7TS3kFggjg+NA==

S7|Darbinis statusas

f752 Location:

Value

Label

Frequency

Text

0.

Neatsak�

1

1.

Dirba

922

2.

Nedirba

710

Summary Statistics: Max. 2.0; Valid 1633.0; Mean 1.4341702388242497; Min. 0.0; StDev 0.49703366450175424

Variable Format: numeric

Notes: UNF:6:OD2KbXgQcdrHHaZlR6HQKA==

S8|U�si�mimas

f752 Location:

Value

Label

Frequency

Text

1.

Eilinis darbininkas

390

0.

Neatsak�

712

6.

Verslininkai, �kininkai

46

4.

Specialistai

146

5.

�staig� vadovai

54

3.

Tarnautojai

166

7.

Laisvos profesijos

15

2.

Prekybininkas ar buitinis darbuotojas

104

Summary Statistics: Min. 0.0; StDev 1.7590192909445401; Valid 1633.0; Max. 7.0; Mean 1.427434170238823

Variable Format: numeric

Notes: UNF:6:ex56VZk0ngwiUFk95UD7Tw==

S9|U�imtumas

f752 Location:

Value

Label

Frequency

Text

5.

Pensininkas

390

2.

Studentas

20

8.

Bedarbis

64

0.

Neatsak�

922

1.

Mokinys

19

4.

Nam� �eiminink�

49

3.

Vaiko auginimo atostogose

70

6.

Invalidas

39

9.

Kita

17

7.

Ie�ko darbo

43

Summary Statistics: Mean 2.213717085119412; Max. 9.0; Valid 1633.0; Min. 0.0; StDev 2.7391064023044622

Variable Format: numeric

Notes: UNF:6:kxC85jzavCzCwNEWnYZBfw==

S10|Respondento pajamos paskutin� m�nes� (laikinieji pinigai talonai, tl.)

f752 Location:

Value

Label

Frequency

Text

0.

Neatsak�

52

1.

Neturi pajam�

58

Summary Statistics: Max. 400000.0; StDev 13910.912715696611; Valid 1633.0; Min. 0.0; Mean 8797.827924066163

Variable Format: numeric

Notes: UNF:6:dXSkSYJa+JR+1vrqw9cAXg==

S10|Pajam� grup�s (laikinieji pinigai talonai, tl.) (VNTC)

f752 Location:

Value

Label

Frequency

Text

3.

6001-8000 tl.

265

2.

4001-6000 tl.

447

1.

Iki 4000 tl.

262

4.

8001-12000 tl.

277

0.

Neatsak�

52

5.

12001 tl. ir daugiau

272

-1.

Neturi pajam�

58

Summary Statistics: Mean 2.67054500918555; Min. -1.0; Max. 5.0; Valid 1633.0; StDev 1.5808972258079608;

Variable Format: numeric

Notes: UNF:6:Dy6b1UMziHGURSFPuoH+IQ==

S11|Pajamos vienam �eimos nariui per m�nes� (laikinieji pinigai talonai, tl.)

f752 Location:

Value

Label

Frequency

Text

0.

Neatsak�

51

1.

Neturi pajam�

8

Summary Statistics: Valid 1633.0; Min. 0.0; StDev 6293.255902255806; Max. 100000.0; Mean 6159.812002449486;

Variable Format: numeric

Notes: UNF:6:LslrpulGWgUm8nPeqY9NyA==

S11|Pajam� grup�s (laikinieji pinigai talonai, tl.) (VNTC)

f752 Location:

Value

Label

Frequency

Text

5.

8001 tl. ir daugiau

266

4.

5501-8000 tl.

397

3.

4501-5500 tl.

283

0.

Neatsak�

51

-1.

Neturi pajam�

8

1.

Iki 3000 tl.

316

2.

3001-4500 tl.

312

Summary Statistics: Min. -1.0; Valid 1633.0; Mean 2.877526025719536; StDev 1.4851192443095604; Max. 5.0;

Variable Format: numeric

Notes: UNF:6:wzJZpD5IaKtN5gC2Lz7I1A==

S12|Gyvenamoji vieta

f752 Location:

Value

Label

Frequency

Text

1.

Didieji miestai

654

2.

Rajon� centrai

432

4.

Kaimas

516

3.

Ma�esni miestai (miesteliai)

31

Summary Statistics: Max. 4.0; Min. 1.0; Mean 2.2504592774035492; StDev 1.2734472849177711; Valid 1633.0

Variable Format: numeric

Notes: UNF:6:gfXxPDKipy/zSrX9xzCtlQ==

S12|Gyvenamoji vieta (VNTC)

f752 Location:

Value

Label

Frequency

Text

2.

Kaimas

516

1.

Miestas

1117

Summary Statistics: Max. 2.0; Valid 1633.0; Min. 1.0; Mean 1.3159828536436022; StDev 0.4650485212929937

Variable Format: numeric

Notes: UNF:6:8IM9eN+acgLMJl6qZGx4tw==

Miesto kodas

f752 Location:

Summary Statistics: StDev 9.442288637617963; Max. 26.0; Min. 1.0; Mean 11.897734231475928; Valid 1633.0

Variable Format: numeric

Notes: UNF:6:hRxZaN7Nxr8QBDKeNgKYDA==

Other Study-Related Materials

Label:

LiDA_SurveyData_0278_Archive_v1.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/gzip

Other Study-Related Materials

Label:

LiDA_SurveyData_0278_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/gzip

Other Study-Related Materials

Label:

LiDA_SurveyData_0278_Questionnaire_v1.pdf

Text:

Klausimynas = Questionnaire

Notes:

application/pdf