Barometer of the Public Opinion Research Center, March 1992 (hdl:21.12137/QOSBN5)

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Part 2: Study Description
Part 3: Data Files Description
Part 4: Variable Description
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Document Description

Citation

Title:

Barometer of the Public Opinion Research Center, March 1992

Identification Number:

hdl:21.12137/QOSBN5

Distributor:

Lietuvos HSM duomenų archyvas (LiDA) = Lithuanian Data Archive for HSS (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, March 1992", https://hdl.handle.net/21.12137/QOSBN5, Lietuvos HSM duomenų archyvas (LiDA) = Lithuanian Data Archive for HSS (LiDA), V5, UNF:6:utI7jy3r9E/FflmW1LzM/g== [fileUNF]

Study Description

Citation

Title:

Barometer of the Public Opinion Research Center, March 1992

Identification Number:

hdl:21.12137/QOSBN5

Identification Number:

LiDA_SurveyData_0274

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:

1992-03-23

Software used in Production:

SPSS

Distributor:

Lietuvos HSM duomenų archyvas (LiDA) = Lithuanian Data Archive for HSS (LiDA)

Distributor:

Lithuanian Data Archive for Social Sciences and Humanities

Access Authority:

Žvaliauskas, Giedrius

Depositor:

Gaidys, Vladas (Lithuanian Social Research Centre)

Date of Deposit:

2019-12-18

Date of Distribution:

2020-01-20

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/QOSBN5

Study Scope

Keywords:

Social Sciences, Social Sciences, periodical press, standard of living, economic conditions, consumer behaviour, political leaders, legislature, heads of government, presidential elections, political, social and economic issues

Topic Classification:

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

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 whether they read at least one daily newspaper dedicated to the whole of Lithuania. They were asked whether they subscribe to the daily newspaper, whether they are satisfied with the daily newspapers, and what information the daily newspapers lack the most. Respondents were asked to answer whether they would trust the daily newspaper - a government body; if it would be funded by either foreigners of Lithuanian expatriates. It was also asked how much they would pay for the desired daily newspaper and whether the respondents felt that they were European. It was further asked which party or movement would vote for the candidate if elections to the Lithuanian Parliament were held. It was wanted to know how the activities of the Supreme Council of Lithuania and the Government correspond to the interests of the people. The opinion was also asked on how V. Landsbergis performs the duties of the Chairman of the Supreme Council, and G. Vagnorius - the duties of the Prime Minister of Lithuania. They were asked questions 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 wanted to know on which step the respondents stand on the 9-step stairs. Respondents were asked whether they had earned or otherwise received currency in the past six months. They were asked to assess interethnic relations in Lithuania and indicate whether there is a possibility that they may become unemployed in the next six months. It was further asked whether they would be a vote in May on a referendum proposed by the Sajudis on the restoration of the institution of the President elected by all Lithuanian citizens and whether they are for or against the restoration of the institution of the President. Finally, when asked to imagine that presidential elections are taking place and there are only two candidates (V. Landsbergis and A. M. Brazauskas) for which candidate the respondents would vote. <br> <b><i>Socio-demographic characteristics</i></b>: gender, age, education, nationality, place of residence, average monthly income of respondent.

Time Period:

1992-03-17-1992-03-23

Date of Collection:

1992-03-17-1992-03-23

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, March 1992” 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_0339; 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--f744

File: LiDA_SurveyData_0274_Data_v1.tab

  • Number of cases: 1378

  • No. of variables per record: 40

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

Notes:

UNF:6:utI7jy3r9E/FflmW1LzM/g==

Survey

Variable Description

List of Variables:

  • id_lida - Tyrimo identifikacinis numeris (LiDA)
  • version - Versija (LiDA)
  • ID - Respondento identifikacinis numeris
  • K1 - K1|Ar skaito bent vien� dienra�t�
  • K2 - K2|Ar prenumeruoja dienra�t�
  • K3 - K3|Ar patenkina dienra��iai
  • K4 - K4|Ko Lietuvos dienra��iuose labiausiai tr�ksta, ko reik�t� spausdinti daugiau
  • K5 - K5|Koki� �ini� reik�t� spausdinti dienra��iuose
  • K6 - K6|Ar pasitik�t� dienra��iu: vald�ios organu
  • K7 - K7|Ar pasitik�t� dienra��iu: finansuojamas u�sienie�i�
  • K8 - K8|Ar pasitik�t� dienra��iu: i�eivijos atstov�
  • K9 - K9|Dienra�tis: kokio nor�t�, ar mok�t� u� j�
  • K10 - K10|Ar jau�iasi es�s europietis
  • K11 - K11|U� kokios partijos kandidat� balsuot�, jei vykt� rinkimai � parlament�
  • K12 - K12|Dar u� kokios partijos kandidat� balsuot�
  • K13 - K13|Kaip Vytautas Lansbergis atlieka AT pirmininko pareigas
  • K14 - K14|Kaip Auk��iausiosios Tarybos veikla atitinka �moni� interesus
  • K15 - K15|Kaip Gediminas Vagnorius atlieka Lietuvos premjer-ministro pareigas
  • K16 - K16|Kaip Lietuvos Vyriausyb�s veikla atitinka �moni� interesus
  • K17 - K17|Kaip vertina dabartin� ekonomin� Lietuvos pad�t�
  • K18 - K18|Kokia bus Lietuvos ekonomin� pad�tis po 12 m�nesi�
  • K19 - K19|Kaip vertina savo (savo �eimos) materialin� pad�t�
  • K20 - K20|Kokia bus �eimos (respondento) materialin� pad�tis po 12 m�nesi�
  • K21 - K21|Ant kurio devyni� pakop� laiptelio stovi respondentas
  • K22 - K22|Ar per pastar�j� pusmet� respondentas (�eima) u�sidirbo, gavo valiutos
  • K23 - K23|Kaip vertina tarpnacionalinius santykius Lietuvoje
  • K24 - K24|Aar yra tikimyb�, kad per artimiausi� pusmet� gali tapti bedarbiu
  • K25 - K25|Ar balsuot�, jeigu vykt� referendumas d�l prezidento institucijos atk�rimo
  • K26 - K26|U� ar prie� d�l renkamo prezidento institucijos atk�rimo
  • K27 - K27|U� kur� kandidat� balsuot�, jei vykt� Prezidento rinkimai
  • 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|I�simokslinimas
  • S4 - S4|Tautyb�
  • S5 - S5|Gyvenamoji vieta
  • S5_r - S5|Gyvenamoji vieta (VNTC)
  • S6 - S6|Respondento vidutin�s pajamos per m�nes� (TSRS rubliais)
  • MK - Miest� kodai

Variables

Tyrimo identifikacinis numeris (LiDA)

f744 Location:

Variable Format: character

Notes: UNF:6:ZgQtGvw/9fAuEz7rGzCfbA==

Versija (LiDA)

f744 Location:

Variable Format: character

Notes: UNF:6:2tQv1h1hfYbINI2yayuSGg==

Respondento identifikacinis numeris

f744 Location:

Summary Statistics: StDev 397.9386468623859; Mean 689.5; Min. 1.0; Max. 1378.0; Valid 1378.0

Variable Format: numeric

Notes: UNF:6:x+4y9GvlVhhR8yp3wUXq7Q==

K1|Ar skaito bent vien� dienra�t�

f744 Location:

Value

Label

Frequency

Text

0.

Neatsak�

4

5.

Neskaitau

124

2.

2-3 kartus

419

3.

1 kart�

103

6.

I� viso neskaitau

76

4.

Re�iau

108

1.

4-5 kartus

544

Summary Statistics: Min. 0.0; StDev 1.5444477782375663; Mean 2.3214804063860677; Max. 6.0; Valid 1378.0;

Variable Format: numeric

Notes: UNF:6:JgCpmwBOUp+MD4Sn5d8TcA==

K2|Ar prenumeruoja dienra�t�

f744 Location:

Value

Label

Frequency

Text

1.

U�siprenumerav�

897

0.

Nenurod�

6

2.

Ne

475

Summary Statistics: Valid 1378.0; StDev 0.4831034933958486; Mean 1.340348330914368; Max. 2.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:QhsiLnsKX2GxdDP+xvVKwQ==

K3|Ar patenkina dienra��iai

f744 Location:

Value

Label

Frequency

Text

0.

Neatsak�

17

1.

Visai patenkina

189

4.

Visai nepatenkina

37

5.

Sunku pasakyti

302

3.

Grei�iau ne

130

2.

Beveik patenkina

703

Summary Statistics: StDev 1.395617706186766; Valid 1378.0; Mean 2.6436865021770677; Max. 5.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:XuzwYcYhV8IxqA+z6RMkYw==

K4|Ko Lietuvos dienra��iuose labiausiai tr�ksta, ko reik�t� spausdinti daugiau

f744 Location:

Value

Label

Frequency

Text

3.

Komentar�

234

4.

N�ra atsakymo

70

1.

Naujien�

528

0.

Neatsak�

102

2.

Sensacij�

444

Summary Statistics: Mean 1.7402031930333823; Min. 0.0; StDev 0.99270861871681; Max. 4.0; Valid 1378.0

Variable Format: numeric

Notes: UNF:6:0xxIuYy6RQ27N2yY5QcxDA==

K5|Koki� �ini� reik�t� spausdinti dienra��iuose

f744 Location:

Value

Label

Frequency

Text

2.

I� Lietuvos

488

4.

I� pasaulio

339

5.

N�ra atsakymo

129

3.

I� Europos

79

1.

Vietini� �ini�

280

0.

Neatsak�

63

Summary Statistics: StDev 1.4087488899068954; Max. 5.0; Min. 0.0; Mean 2.5355587808418023; Valid 1378.0

Variable Format: numeric

Notes: UNF:6:aGyYwRNrYGbmKvzwVRseUw==

K6|Ar pasitik�t� dienra��iu: vald�ios organu

f744 Location:

Value

Label

Frequency

Text

1.

Visai pasitik��iau

97

0.

Neatsak�

9

5.

Visai nepasitik��iau

252

2.

Beveik pasitik��iau

180

4.

Grei�iau nepasitik��iau

362

6.

Sunku pasakyti

309

3.

Man tas pats

169

Summary Statistics: Valid 1378.0; Mean 4.0101596516690865; StDev 1.5699284093592192; Min. 0.0; Max. 6.0;

Variable Format: numeric

Notes: UNF:6:xnJzHpdRGF4c0QoBQqY5oQ==

K7|Ar pasitik�t� dienra��iu: finansuojamas u�sienie�i�

f744 Location:

Value

Label

Frequency

Text

0.

Neatsak�

12

2.

Man tas pats

228

4.

Sunku pasakyti

591

1.

Pasitik��iau

338

3.

Nepasitik��iau

209

Summary Statistics: Mean 2.7467343976777943; Valid 1378.0; Min. 0.0; Max. 4.0; StDev 1.2612918602408907;

Variable Format: numeric

Notes: UNF:6:x68pB6JcQGN8r8iXcnKoFw==

K8|Ar pasitik�t� dienra��iu: i�eivijos atstov�

f744 Location:

Value

Label

Frequency

Text

0.

Neatsak�

13

2.

Man tas pats

228

1.

Pasitik��iau

390

3.

Nepasitik��iau

178

4.

Sunku pasakyti

569

Summary Statistics: Min. 0.0; Valid 1378.0; StDev 1.2946994284481144; Mean 2.653120464441219; Max. 4.0

Variable Format: numeric

Notes: UNF:6:tc2EPH+3JEd8KtKB0AwnFA==

K9|Dienra�tis: kokio nor�t�, ar mok�t� u� j�

f744 Location:

Value

Label

Frequency

Text

1.

3.80 rb.

397

0.

Neatsak�

12

2.

2.80 rb.

139

3.

2.30 rb.

375

4.

Per brangu

455

Summary Statistics: StDev 1.2344238722081464; Valid 1378.0; Mean 2.626995645863569; Min. 0.0; Max. 4.0

Variable Format: numeric

Notes: UNF:6:yJNfRAFYXDoMoRIUPWPZWw==

K10|Ar jau�iasi es�s europietis

f744 Location:

Value

Label

Frequency

Text

0.

Neatsak�

4

1.

Taip

489

2.

Ne

330

3.

Apie tai negalvojau

555

Summary Statistics: Max. 3.0; Min. 0.0; Valid 1378.0; StDev 0.8763655309408337; Mean 2.0420899854862116;

Variable Format: numeric

Notes: UNF:6:IHfDUtYrEE0EcruX+cR/kQ==

K11|U� kokios partijos kandidat� balsuot�, jei vykt� rinkimai � parlament�

f744 Location:

Value

Label

Frequency

Text

12.

Kita

20

5.

LLL (Lietuvos laisv�s lyga)

18

11.

Lietuvi� tautinink� partija

17

0.

Neatsak�

14

1.

LAF (Lietuvos ateities forumas)

42

13.

Sunku pasakyti

345

4.

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

63

3.

DP (Lietuvos demokrat� partija)

38

8.

Nepriklausomyb�s partija

20

10.

Lietuvos socialdemokrat� partija

37

9.

S�j�dis

193

14.

Nebalsuosiu

138

7.

Lietuvos pilie�i� chartija

16

6.

Liberal� s�junga

30

2.

DDP (Lietuvos demokratin� darbo partija)

387

Summary Statistics: Mean 7.746734397677796; StDev 4.929466946364591; Min. 0.0; Max. 14.0; Valid 1378.0

Variable Format: numeric

Notes: UNF:6:dOMYUE0eASCDTrXcgTy47w==

K12|Dar u� kokios partijos kandidat� balsuot�

f744 Location:

Value

Label

Frequency

Text

1.

LAF (Lietuvos ateities forumas)

33

11.

Lietuvi� tautinink� partija

20

5.

LLL (Lietuvos laisv�s lyga)

12

8.

Nepriklausomyb�s partija

16

6.

Liberal� s�junga

6

0.

Neatsak�

1014

2.

DDP (Lietuvos demokratin� darbo partija)

50

4.

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

17

13.

Sunku pasakyti

14

10.

Lietuvos socialdemokrat� partija

44

14.

Nebalsuosiu

3

12.

Kita

78

9.

S�j�dis

39

3.

DP (Lietuvos demokrat� partija)

30

7.

Lietuvos pilie�i� chartija

2

Summary Statistics: Valid 1378.0; Mean 1.9593613933236544; Min. 0.0; Max. 14.0; StDev 3.931856396949808

Variable Format: numeric

Notes: UNF:6:hR+w6jt3XaWgPKeG9jg8Ag==

K13|Kaip Vytautas Lansbergis atlieka AT pirmininko pareigas

f744 Location:

Value

Label

Frequency

Text

4.

Labai blogai

96

2.

Grei�iau gerai

460

5.

Sunku pasakyti

351

1.

Labai gerai

174

3.

Grei�iau blogai

292

0.

Neatsak�

5

Summary Statistics: StDev 1.400421775900146; Mean 2.9818577648766316; Valid 1378.0; Max. 5.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:7Dvf3lgbfGGmnNshz+QIJw==

K14|Kaip Auk��iausiosios Tarybos veikla atitinka �moni� interesus

f744 Location:

Value

Label

Frequency

Text

4.

Visai neatitinka

154

1.

Visai atitinka

42

0.

Neatsak�

2

5.

Sunku pasakyti

335

3.

Grei�iau neatitinka

429

2.

Beveik atitinka

416

Summary Statistics: Max. 5.0; Min. 0.0; Valid 1378.0; StDev 1.2119638973436162; Mean 3.230769230769231

Variable Format: numeric

Notes: UNF:6:mLKVL1RCKHxizpLtIvKguw==

K15|Kaip Gediminas Vagnorius atlieka Lietuvos premjer-ministro pareigas

f744 Location:

Value

Label

Frequency

Text

2.

Grei�iau gerai

434

5.

Sunku pasakyti

331

1.

Labai gerai

112

3.

Grei�iau blogai

382

4.

Labai blogai

118

0.

Neatsak�

1

Summary Statistics: Valid 1378.0; StDev 1.2987686230955455; Min. 0.0; Mean 3.086357039187228; Max. 5.0;

Variable Format: numeric

Notes: UNF:6:nHSMPWZm6nthUCPZ7iwZOw==

K16|Kaip Lietuvos Vyriausyb�s veikla atitinka �moni� interesus

f744 Location:

Value

Label

Frequency

Text

2.

Beveik atitinka

443

5.

Sunku pasakyti

347

4.

Visai neatitinka

139

3.

Grei�iau neatitinka

391

0.

Neatsak�

14

1.

Visai atitinka

44

Summary Statistics: Valid 1378.0; Max. 5.0; Mean 3.1886792452830184; Min. 0.0; StDev 1.270566007092086;

Variable Format: numeric

Notes: UNF:6:pbu2RWg0obWeZpgBS4luUg==

K17|Kaip vertina dabartin� ekonomin� Lietuvos pad�t�

f744 Location:

Value

Label

Frequency

Text

7.

Neatsak�

3

6.

Neturiu nuomon�s

82

Summary Statistics: StDev 3.007023289385503; Max. 7.0; Valid 1378.0; Min. -5.0; Mean -1.2452830188679256

Variable Format: numeric

Notes: UNF:6:5r/nMfjQiSEHwYKutmr0CA==

K18|Kokia bus Lietuvos ekonomin� pad�tis po 12 m�nesi�

f744 Location:

Value

Label

Frequency

Text

4.

�iek tiek pager�s

242

3.

Nepasikeis

172

0.

Neatsak�

8

5.

�ymiai pager�s

27

2.

�iek tiek pablog�s

342

6.

Sunku pasakyti

307

1.

�ymiai pablog�s

280

Summary Statistics: Mean 3.2111756168359995; Max. 6.0; Valid 1378.0; Min. 0.0; StDev 1.8248561976155309

Variable Format: numeric

Notes: UNF:6:qgtJa1Cx3VACDx88Id0BPw==

K19|Kaip vertina savo (savo �eimos) materialin� pad�t�

f744 Location:

Value

Label

Frequency

Text

6.

Neturiu nuomon�s

21

7.

Neatsak�

1

Summary Statistics: Min. -5.0; Max. 7.0; Mean -0.9042089985486197; StDev 2.808762560735856; Valid 1378.0;

Variable Format: numeric

Notes: UNF:6:IMC3zogbkUr9QabNjJxBYA==

K20|Kokia bus �eimos (respondento) materialin� pad�tis po 12 m�nesi�

f744 Location:

Value

Label

Frequency

Text

5.

�ymiai pager�s

19

3.

Nepasikeis

274

1.

�ymiai pablog�s

237

4.

�iek tiek pager�s

170

6.

Sunku pasakyti

376

0.

Neatsak�

4

2.

�iek tiek pablog�s

298

Summary Statistics: StDev 1.8456959954826246; Valid 1378.0; Max. 6.0; Mean 3.4005805515239502; Min. 0.0

Variable Format: numeric

Notes: UNF:6:1ITtUVkH8/36VrjP330ODg==

K21|Ant kurio devyni� pakop� laiptelio stovi respondentas

f744 Location:

Value

Label

Frequency

Text

1.

�emiausias laiptelis

155

10.

Sunku pasakyti

56

9.

Auk��iausias laiptelis

2

7.

7-as laiptelis

5

8.

8-as laiptelis

0

2.

2-as laiptelis

223

0.

Neatsak�

4

4.

4-as laiptelis

283

3.

3-as laiptelis

449

6.

6-as laiptelis

30

5.

5-as laiptelis

171

Summary Statistics: Max. 10.0; Mean 3.4310595065312044; StDev 1.8584535025910676; Valid 1378.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:jMt7evR/7r7+qGRGQG8muQ==

K22|Ar per pastar�j� pusmet� respondentas (�eima) u�sidirbo, gavo valiutos

f744 Location:

Value

Label

Frequency

Text

1.

Taip

131

0.

Neatsak�

3

2.

Ne

1244

Summary Statistics: Max. 2.0; StDev 0.30652494541756153; Valid 1378.0; Min. 0.0; Mean 1.9005805515239482

Variable Format: numeric

Notes: UNF:6:/73wqfu3iUNK0qJx83c+ZQ==

K23|Kaip vertina tarpnacionalinius santykius Lietuvoje

f744 Location:

Value

Label

Frequency

Text

5.

Labai geri

46

1.

Labai blogi

15

4.

Geri

614

3.

Sunku pasakyti

577

0.

Neatsak�

2

2.

Blogi

124

Summary Statistics: Mean 3.3962264150943406; Max. 5.0; Min. 0.0; Valid 1378.0; StDev 0.7543918264778346

Variable Format: numeric

Notes: UNF:6:y6Sd7WSWX8fJ7oFUHgcmzA==

K24|Aar yra tikimyb�, kad per artimiausi� pusmet� gali tapti bedarbiu

f744 Location:

Value

Label

Frequency

Text

1.

�sitikin�s

172

3.

Tikimyb� ma�a

140

4.

Taip neatsitiks

112

5.

Sunku pasakyti

128

2.

Gali taip atsitikti

459

0.

Neatsak�

367

Summary Statistics: Min. 0.0; Mean 1.885341074020321; Max. 5.0; Valid 1378.0; StDev 1.562515682348657

Variable Format: numeric

Notes: UNF:6:S2yQ2w4aT16Dq0QX8rdm6A==

K25|Ar balsuot�, jeigu vykt� referendumas d�l prezidento institucijos atk�rimo

f744 Location:

Value

Label

Frequency

Text

1.

Atei�iau

1012

2.

Ne

352

0.

Neatsak�

14

Summary Statistics: Valid 1378.0; StDev 0.45341785994514977; Max. 2.0; Min. 0.0; Mean 1.2452830188679247

Variable Format: numeric

Notes: UNF:6:O6+ISXUo4vChKP2pyKip1A==

K26|U� ar prie� d�l renkamo prezidento institucijos atk�rimo

f744 Location:

Value

Label

Frequency

Text

0.

Neatsak�

121

1.

U�

1064

2.

Prie�

193

Summary Statistics: Mean 1.0522496371552974; StDev 0.47465771493849646; Max. 2.0; Valid 1378.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:h8FGvwcLlih2hqW9DIdyLA==

K27|U� kur� kandidat� balsuot�, jei vykt� Prezidento rinkimai

f744 Location:

Value

Label

Frequency

Text

1.

U� Landsberg�

565

2.

U� Brazausk�

630

0.

Neatsak�

183

Summary Statistics: Mean 1.3243831640058037; Min. 0.0; StDev 0.6965006034107184; Valid 1378.0; Max. 2.0

Variable Format: numeric

Notes: UNF:6:8dGicTKAkwjkavoV5pMYUw==

S1|Lytis

f744 Location:

Value

Label

Frequency

Text

2.

Moterys

780

0.

Neatsak�

3

1.

Vyrai

595

Summary Statistics: Mean 1.5638606676342526; Max. 2.0; Min. 0.0; Valid 1378.0; StDev 0.5004574967593014

Variable Format: numeric

Notes: UNF:6:vyN2oZbLocNgo5yodfjhhg==

S2|Am�ius

f744 Location:

Value

Label

Frequency

Text

0.

Nenurod�

5

Summary Statistics: Max. 99.0; Min. 0.0; StDev 16.459331019957165; Mean 44.49709724238025; Valid 1378.0;

Variable Format: numeric

Notes: UNF:6:sB0kpDgDTu/8Wc1skNZeaA==

S2|Am�iaus grup�s (LiDA 1)

f744 Location:

Value

Label

Frequency

Text

3.

40-49 met�

239

6.

70 met� ir vyresni

104

4.

50-59 met�

236

5.

60-69 met�

190

2.

30-39 met�

330

0.

Nenurod�

5

1.

18-29 met�

274

Summary Statistics: Min. 0.0; Mean 3.0253991291727154; StDev 1.571836145229594; Max. 6.0; Valid 1378.0

Variable Format: numeric

Notes: UNF:6:Wsa21HelE+l99BrOofG7NA==

S2|Am�iaus grup�s (LiDA 2)

f744 Location:

Value

Label

Frequency

Text

5.

55-64 met�

224

6.

65 met� ir vyresni

179

3.

35-44 met�

275

1.

18-24 met�

135

0.

Nenurod�

5

4.

45-54 met�

237

2.

25-34 met�

323

Summary Statistics: Mean 3.4455732946299005; Min. 0.0; Valid 1378.0; Max. 6.0; StDev 1.566353279993597

Variable Format: numeric

Notes: UNF:6:n0cHgNNHj7DXBNhzIr6yjQ==

S3|I�simokslinimas

f744 Location:

Value

Label

Frequency

Text

1.

Pradinis

235

5.

Nebaigtas auk�tasis

60

6.

Auk�tasis

193

2.

Nepilnas vidurinis

186

4.

Specialus vidurinis

328

0.

Neatsak�

0

3.

Vidurinis

376

Summary Statistics: StDev 1.5553490489946886; Min. 1.0; Max. 6.0; Valid 1378.0; Mean 3.269230769230766

Variable Format: numeric

Notes: UNF:6:mJkX5JhWM3JMtgznJBBxlg==

S4|Tautyb�

f744 Location:

Value

Label

Frequency

Text

5.

Kiti

21

0.

Neatsak�

0

3.

Lenkai

83

1.

Lietuviai

1111

2.

Rusai

136

4.

Baltarusiai

27

Summary Statistics: Min. 1.0; StDev 0.8033766445114164; Mean 1.3388969521044976; Max. 5.0; Valid 1378.0

Variable Format: numeric

Notes: UNF:6:X0ybppDi9G1OvEvyrnxapw==

S5|Gyvenamoji vieta

f744 Location:

Value

Label

Frequency

Text

4.

Kaimas

404

0.

Neatsak�

2

2.

Rajon� centrai

287

3.

Miesteliai

137

1.

Didieji miestai

548

Summary Statistics: StDev 1.263106450933048; Max. 4.0; Valid 1378.0; Min. 0.0; Mean 2.285195936139326;

Variable Format: numeric

Notes: UNF:6:u5Nzj/MWfMOoQ4tlgl+9Jg==

S5|Gyvenamoji vieta (VNTC)

f744 Location:

Value

Label

Frequency

Text

1.

Miestas

972

9.

Neatsak�

2

2.

Kaimas

404

Summary Statistics: Min. 1.0; Valid 1378.0; StDev 0.5416484085875594; Max. 9.0; Mean 1.304789550072568

Variable Format: numeric

Notes: UNF:6:r6rfcVChEMmZ1Vi8OG/xgw==

S6|Respondento vidutin�s pajamos per m�nes� (TSRS rubliais)

f744 Location:

Value

Label

Frequency

Text

99999.

Neatsak�

51

99.

Neatsak�

0

0.

Neturi pajam�

42

Summary Statistics: Min. 0.0; Valid 1378.0; Max. 99999.0; Mean 5226.64078374456; StDev 18652.814578936497

Variable Format: numeric

Notes: UNF:6:1s7QtLx13J09NSsE4djXaA==

Miest� kodai

f744 Location:

Value

Label

Frequency

Text

0.

Neatsak�

3

Summary Statistics: StDev 8.708634848615551; Min. 0.0; Mean 11.142235123367142; Max. 25.0; Valid 1378.0

Variable Format: numeric

Notes: UNF:6:pZO7y698DJv7OwjefhELJQ==

Other Study-Related Materials

Label:

LiDA_SurveyData_0274_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_0274_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_0274_Questionnaire_v1.pdf

Text:

Klausimynas = Questionnaire

Notes:

application/pdf