Barometer of the Public Opinion Research Center, June 1992 (hdl:21.12137/NA775E)

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Part 2: Study Description
Part 3: Data Files Description
Part 4: Variable Description
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Barometer of the Public Opinion Research Center, June 1992

hdl:21.12137/NA775E

Lithuanian Data Archive for SSH (LiDA)

2021-10-07

5

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 1992", https://hdl.handle.net/21.12137/NA775E, Lithuanian Data Archive for SSH (LiDA), V5, UNF:6:KYDCevSSBXmzjg2EQd4EWw== [fileUNF]

Barometer of the Public Opinion Research Center, June 1992

hdl:21.12137/NA775E

LiDA_SurveyData_0275

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

Žvaliauskas, Giedrius

Vilčinskas, Vidas

1992-06-16

SPSS

Lithuanian Data Archive for SSH (LiDA)

Lithuanian Data Archive for Social Sciences and Humanities

Žvaliauskas, Giedrius

Gaidys, Vladas (Lithuanian Social Research Centre)

2020-01-20

2021-07-27

Barometer of the Public Opinion Research Center

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.

https://hdl.handle.net/21.12137/NA775E

Social Sciences, standard of living, economic conditions, european union, environmental changes, pollution, political parties, political, social and economic issues

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

<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 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. The question was posed whether they are well informed about the European Community and whether they are for or against the unification of Western Europe. Opinions were asked on how respondents assess Lithuania's accession to the European Community, whether it would be beneficial for Lithuania to belong to the European Community and how they would react if they found out tomorrow that the European Community had disintegrated. It was also asked whether they would support the Republic of Lithuania in the near future becoming a part of the European Community and how this organization should deal with migrants wishing to leave their countries for economic reasons and wishing to find political asylum. It was further asked what the Lithuanian residents who participated in the survey thought about the protection of the environment in Lithuania and the fight against the pollution. Further they expressed their opinion on the various Lithuanian environmental problems. It was asked which party or movement candidate would vote for if elections to the Lithuanian Parliament were held. At the end of the survey, the respondents answered what kind of army Lithuania would need and assessed how the activities of the Lithuanian Government correspond to the interests of the people. <br> <b><i>Socio-demographic characteristics</i></b>: gender, age, education, nationality, place of residence, Citizenship of the Republic of Lithuania, average monthly income of respondent.

1992-06-11-1992-06-16

1992-06-11-1992-06-16

Lithuania

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

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

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>

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

Survey data

<p> The main language of the study is Lithuanian (lit). </p> <p> Standardized questionnaire was provided for the respondents in Lithuanian (lit). </p> <p> Dataset (data and (or) metadata) “Barometer of the Public Opinion Resarch Center, June 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_0340; produced by Žvaliauskas Giedrius 2021-07-27. </p>

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>)

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

<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>

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>)

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>

<p>In order to check the quality of the work of the interviewers with 10% of the respondents the data collector made repeated contacts: by applying postal surveys (the addresses of the respondents were known) and telephone surveys (the phones of the respondents were obtained from telephone directories), as well as in Vilnius by direct interview methods. </p> <p>The principles of sample selection and compliance with the specifications for conducting the survey were reviewed. </p>

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.

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

<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>

<p>Siekiant užtikrinti LiDA Dataverse talpykloje saugomų duomenų konfidencialumą, prieš pradėdami naudotis konkrečiais duomenimis, vartotojai privalo sutikti su konfidencialumo deklaracija. Konfidencialumo deklaracijoje LiDA Dataverse talpyklos duomenų vartotojai įpareigojami saugoti bet kokios informacijos, prie kurios jiems suteikiama prieiga, konfidencialumą, jei ši informacija leistų identifikuoti konkrečius asmenis. Įspėjama, kad sąmoningas ar nesąmoningas šio pasižadėjimo nepaisymas užtraukia atitinkamą atsakomybę pagal galiojančius duomenų apsaugos teisės aktus.</p> <hr> <p> In order to ensure the confidentiality of the data stored in the LiDA Dataverse repository, users must agree to the confidentiality declaration before using the data. The declaration of confidentiality obliges LiDA Dataverse repository users to protect the confidentiality of any information to which they have been granted access, if this information directly or indirectly identifies specific individuals. Intentional or unintentional disregard for this obligation may incur liability under applicable data protection laws.</p>

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

Publikacijose, parengtose LiDA saugomų duomenų išteklių pagrindu, turi būti nuoroda į LiDA išnašose ar literatūros sąraše į naudojamus išteklius. Šiuo reikalavimu siekiama, kad nuoroda į LiDA patektų į socialinių mokslų citavimo indeksus. <hr> Publications based on the data or other resources curated by the LiDA should acknowledge this by a reference to LiDA. To ensure that such attributions are captured by social science bibliographic utilities, citations must appear in the footnotes or in the reference section of publications.

Vartotojai įsipareigoja pateikti archyvui publikacijų, kuriose naudoti LiDA saugomi duomenys ar kita informacija, bibliografinius aprašus (raštu ar el. paštu: <a href="mailto:data@ktu.lt">data@ktu.lt</a>). <hr> The users are required to provide bibliographic information about all forms of publications referring to the data and other resources curated at the LiDA (in written form or by email: <a href="mailto:data@ktu.lt">data@ktu.lt</a>).

Lietuvos humanitarinių ir socialinių mokslų duomenų archyvas (LiDA) neatsako už trečiųjų asmenų (institucijų) išvadas ir interpretacijas gautas naudojant LiDA saugomus duomenis. LiDA neatsako už netiesioginę, atsitiktinę, ar kitokią žalą, ar nuostolius, atsiradusius naudojant LiDA saugomus duomenis, arba negalint jų pasiekti, arba dėl nesankcionuoto jų panaudojimo įsilaužus į sistemą. <hr> The Lithuanian Data Archive for Humanities and Social Sciences (LiDA) bears no responsibility for the uses of the data archived therein, or for interpretations or inferences based on these uses. The LiDA accepts no liability for indirect, consequential or incidental damages or losses arising from use of the data collection, or from the unavailability of, or break in access to the service for whatever reason.

<p>Jei norite gauti depozitoriaus perduotą tyrimo duomenų failą, ankstesnes duomenų failų versijas SPSS formatu arba pirminio apdorojimo SPSS komandų sintaksę, rašykite <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>

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

978-9955-531-54-8

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

• Number of cases: 1164

• No. of variables per record: 52

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

UNF:6:KYDCevSSBXmzjg2EQd4EWw==

Survey

• id_lida - Tyrimo identifikacinis numeris (LiDA)
• version - Versija (LiDA)
• ID - Respondento identifikacinis numeris
• K1 - K1|Kaip vertina dabartin� ekonomin� Lietuvos pad�t�
• K2 - K2|Kokia bus Lietuvos ekonomin� pad�tis po 12 m�nesi�
• K3 - K3|Kaip vertina savo (�eimos) materialin� pad�t�
• K4 - K4|Kokia bus �eimos (respondento) materialin� pad�tis po 12 m�nesi�
• K5 - K5|Ar yra gerai informuotas apie Europos Bendrij�
• K6 - K6|U� ar prie� Vakar� Europos susivienijim�
• K7 - K7|Vertina Lietuvos �sijungim� � Europos Bendrij�
• K8 - K8|Ar Lietuvai naudinga priklausyti Europos Bendrijai
• K9 - K9|Jei su�inot�, kad Europos Bendrija i�iro, b�t� gaila ar apsid�iaugt�
• K10 - K10|Kuo save �sivaizduoja ateityje
• K11 - K11|Ar pritart� tam, kad LR artimiausiu metu tapt� Europos Bendrijos dalimi
• K12 - K12|Kaip Europos Bendrija tur�t� elgtis su Ryt� Europos ekonominiais migrantais
• K13 - K13|Norin�ius rasti politin� prieglobst�
• K14 - K14|K� mano apie aplinkos apsaug� ir kov� su jos u�ter�tumu
• K15 - K15|Lietuvos aplinkos problemos: upi� ir e�er� u�ter�tumas
• K16 - K16|Lietuvos aplinkos problemos: j�ros ir paj�rio u�ter�tumas
• K17 - K17|Lietuvos aplinkos problemos: �ala, kuri jau padaryta
• K18 - K18|Lietuvos aplinkos problemos: oro u�ter�tumas
• K19 - K19|Lietuvos aplinkos problemos: �em�s �kio sukeliama tar�a
• K20 - K20|Lietuvos aplinkos problemos: pramon�s atliekos
• K21 - K21|Lietuvos aplinkos problemos: tar�a, kuri� gali sukelti biotechnologijos
• K22 - K22|Lietuvos aplinkos problemos: gyv�n�li� naudojimas bandymams
• K23 - K23|Lietuvos aplinkos problemos: med�iokl� ir �v�ri� �audymas
• K24 - K24|Lietuvos aplinkos problemos: branduolin�s energijos naudojimo rizika
• K25 - K25|Lietuvos aplinkos problemos: motosporto pom�gi� �ala gamtai
• K26 - K26|Lietuvos aplinkos problemos: turizmo daroma �ala
• K27 - K27|Lietuvos aplinkos problemos: miest� augimas
• K28 - K28|U� kokios partijos kandidat� balsuot�, jei vykt� rinkimai � parlament�
• K29 - K29|Dar u� kurios partijos ar jud�jimo kandidat� balsuot�
• K30 - K30|Kokios kariuomen�s reik�t� Lietuvai
• K31 - K31|Kaip Lietuvos vyriausyb�s veikla atitinka �moni� interesus
• K32 - K32|Kaip Gediminas Vagnorius atlieka Lietuvos premjer-ministro pareigas
• K33 - K33|Kaip Auk��iausiosios Tarybos veikla atitinka �moni� interesus
• K34 - K34|Kaip Vytautas Lansbergis atlieka AT pirmininko pareigas
• K35 - K35|Ar dalyvavo Baltijos kelyje 1989 m. rugpj�t�
• 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|Lietuvos Respublikos pilietyb�
• S6 - S6|Gyvenamoji vieta
• S6_r - S6|Gyvenamoji vieta (VNTC)
• S7 - S7|Respondento vidutin�s pajamos per m�nes� (TSRS rubliais)
• S7_r - S7|Pajam� grup�s (TSRS rubliais) (VNTC)
• O1 - O1|Kaip buvo u�pildyta �i anketa
• O2 - O2|Kaip patogiau pildyti anket�
• MK - Miesto kodas

f746 Location:

Variable Format: character

Notes: UNF:6:N2WwPKHcm0pyNhvjXgvExw==

f746 Location:

Variable Format: character

Notes: UNF:6:HvStYqHwp53RuAv1sb5kcA==

f746 Location:

Summary Statistics: Mean 582.5; Min. 1.0; StDev 336.1621632486321; Max. 1164.0; Valid 1164.0

Variable Format: numeric

Notes: UNF:6:Mf9HVcXdmAEI/ui8UQXY7g==

f746 Location:

Summary Statistics: StDev 2.9501356257104288; Max. 6.0; Min. -5.0; Valid 1164.0; Mean -1.072164948453609;

Variable Format: numeric

Notes: UNF:6:mhsvwgsBdBVlwfGoOpdoog==

f746 Location:

Summary Statistics: StDev 1.674474814833463; Valid 1164.0; Max. 6.0; Mean 3.3238831615120272; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:sq9jX0m9SjPQXv/zeHXbNw==

f746 Location:

Summary Statistics: StDev 2.8256222108938793; Valid 1164.0; Mean -0.46477663230240646; Min. -5.0; Max. 7.0

Variable Format: numeric

Notes: UNF:6:UHfPoYx/1RO9krug5uekRQ==

f746 Location:

Summary Statistics: Min. 0.0; Mean 2.8006872852233693; StDev 1.1565951491021997; Max. 6.0; Valid 1164.0;

Variable Format: numeric

Notes: UNF:6:kda6YknwZ0tkxxZAxwW7PA==

f746 Location:

Summary Statistics: Max. 5.0; Min. 0.0; StDev 1.0382079886572952; Mean 3.4201030927835046; Valid 1164.0;

Variable Format: numeric

Notes: UNF:6:BD75+dd6fNoILSYkLnOCWg==

f746 Location:

Summary Statistics: Mean 2.683848797250858; Max. 5.0; Valid 1164.0; StDev 1.6404328952257812; Min. 0.0

Variable Format: numeric

Notes: UNF:6:aLOea69E5yQeT1uFRARpLw==

f746 Location:

Summary Statistics: StDev 1.3358242069430235; Valid 1164.0; Mean 2.1486254295532654; Min. 0.0; Max. 4.0

Variable Format: numeric

Notes: UNF:6:ZNlovuNIxh6F9PecVM1vqQ==

f746 Location:

Summary Statistics: Min. 0.0; Valid 1164.0; Mean 1.806701030927835; StDev 0.9669996554210826; Max. 3.0

Variable Format: numeric

Notes: UNF:6:v2BmQkXHddXi6r5SCziYKw==

f746 Location:

Summary Statistics: Min. 0.0; Mean 2.401202749140894; Valid 1164.0; Max. 4.0; StDev 1.3601749660323608;

Variable Format: numeric

Notes: UNF:6:beTSQ8ry3u7UJZd82XO3YQ==

f746 Location:

Summary Statistics: Min. 0.0; Mean 2.1297250859106533; StDev 1.4524304391574605; Valid 1164.0; Max. 5.0

Variable Format: numeric

Notes: UNF:6:vkGdRV84rAUmGqmZddUNNw==

f746 Location:

Summary Statistics: Min. 0.0; Mean 1.668384879725085; StDev 0.9244907796712927; Max. 3.0; Valid 1164.0

Variable Format: numeric

Notes: UNF:6:YAaVv4gR2zMcnG2zAOx2FQ==

f746 Location:

Summary Statistics: Mean 2.213058419243987; Max. 4.0; Valid 1164.0; Min. 0.0; StDev 1.0162740742559164

Variable Format: numeric

Notes: UNF:6:IoAeCcBTSjfPoX4vXx8DUQ==

f746 Location:

Summary Statistics: StDev 1.0268786511020696; Mean 2.366838487972509; Max. 4.0; Valid 1164.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:V+P5NBpWqur60/UEDM48cA==

f746 Location:

Summary Statistics: Min. 0.0; Mean 1.1872852233676976; StDev 0.6214645983791436; Valid 1164.0; Max. 4.0

Variable Format: numeric

Notes: UNF:6:sfVumVueL7u6pD9m9Gzy3w==

f746 Location:

Summary Statistics: Max. 4.0; Mean 1.1795532646048115; Min. 0.0; Valid 1164.0; StDev 0.5513006334025198

Variable Format: numeric

Notes: UNF:6:5qf8kE0mMyo91SnnQeYJ2g==

f746 Location:

Summary Statistics: Valid 1164.0; Min. 0.0; StDev 0.5858473532088541; Mean 1.2130584192439868; Max. 4.0

Variable Format: numeric

Notes: UNF:6:kemAUGdP1ZRY5q/RIPZxSQ==

f746 Location:

Summary Statistics: StDev 0.6023956678207546; Mean 1.236254295532646; Min. 0.0; Valid 1164.0; Max. 4.0

Variable Format: numeric

Notes: UNF:6:O6UXUe9OGpfeUpaYtrHIJg==

f746 Location:

Summary Statistics: Valid 1164.0; Max. 4.0; Mean 1.18213058419244; StDev 0.5417943470445461; Min. 0.0

Variable Format: numeric

Notes: UNF:6:Uu2WizSIIq3yz+RzE9cTDQ==

f746 Location:

Summary Statistics: StDev 0.7421970406934214; Mean 1.4261168384879737; Min. 0.0; Max. 4.0; Valid 1164.0

Variable Format: numeric

Notes: UNF:6:xh29GXcSBcewMFeve4gong==

f746 Location:

Summary Statistics: Mean 1.2766323024054984; Valid 1164.0; Min. 0.0; StDev 0.6705475737702051; Max. 4.0

Variable Format: numeric

Notes: UNF:6:WM4hG5SeE86GCt/g6NfK/A==

f746 Location:

Summary Statistics: StDev 0.8082217215889766; Max. 4.0; Mean 1.446735395189004; Valid 1164.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:pI0fJLfZCqz7GzpUMvQTyw==

f746 Location:

Summary Statistics: Max. 4.0; Mean 2.0051546391752564; Valid 1164.0; StDev 1.0300594245123051; Min. 0.0

Variable Format: numeric

Notes: UNF:6:puWYuaBqB464ytkjDJMGvQ==

f746 Location:

Summary Statistics: Mean 2.146907216494845; Min. 0.0; Valid 1164.0; StDev 1.0677315278811665; Max. 4.0

Variable Format: numeric

Notes: UNF:6:tMnA1Rq5lH62929srMGVOA==

f746 Location:

Summary Statistics: Mean 1.201890034364261; Max. 4.0; StDev 0.6340549340840101; Valid 1164.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:3tpAqMG8aPpRM31o0FRXeA==

f746 Location:

Summary Statistics: StDev 1.0870326988132726; Mean 2.1752577319587627; Max. 4.0; Min. 0.0; Valid 1164.0

Variable Format: numeric

Notes: UNF:6:chbcg0afrjdba76nWyxtWg==

f746 Location:

Summary Statistics: Mean 2.2594501718213054; Min. 0.0; Valid 1164.0; StDev 1.097031893410142; Max. 4.0;

Variable Format: numeric

Notes: UNF:6:l92GxpQGxwV7Cp/XYAojPw==

f746 Location:

Summary Statistics: Mean 2.355670103092783; Valid 1164.0; Min. 0.0; StDev 1.145011452900774; Max. 4.0

Variable Format: numeric

Notes: UNF:6:9BUy5PzMwkSqLZJQ99FPMg==

f746 Location:

Summary Statistics: Mean 8.107388316151198; StDev 4.891037696752933; Valid 1164.0; Max. 14.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:YSZWf1NiWZCgdmYqoobt1Q==

f746 Location:

Summary Statistics: Max. 14.0; StDev 3.8186248605697584; Min. 0.0; Mean 1.7963917525773136; Valid 1164.0

Variable Format: numeric

Notes: UNF:6:xedXdYARMaFvilJAScKGaw==

f746 Location:

Summary Statistics: Valid 1164.0; StDev 0.904842716451399; Min. 0.0; Mean 1.7431271477663217; Max. 4.0

Variable Format: numeric

Notes: UNF:6:S6dNWvUPz1GyN01Vbgk/bQ==

f746 Location:

Summary Statistics: Valid 1164.0; StDev 1.191932739203626; Mean 3.1597938144329905; Min. 0.0; Max. 5.0

Variable Format: numeric

Notes: UNF:6:UQcTc0GrxRA/z6pRVKG5aA==

f746 Location:

Summary Statistics: StDev 1.286174160633126; Valid 1164.0; Mean 3.0781786941580767; Min. 0.0; Max. 5.0

Variable Format: numeric

Notes: UNF:6:gkGvFGYL1PkHQWBSpTQcrQ==

f746 Location:

Summary Statistics: Valid 1164.0; StDev 1.1699495733231373; Max. 5.0; Min. 0.0; Mean 3.307560137457044

Variable Format: numeric

Notes: UNF:6:JAK5le4l1rsfRo0JDQhg2w==

f746 Location:

Summary Statistics: Mean 2.9415807560137437; Min. 0.0; Valid 1164.0; StDev 1.3615615849533758; Max. 5.0

Variable Format: numeric

Notes: UNF:6:65qc6S1PtWktpUiUFbBTag==

f746 Location:

Summary Statistics: StDev 0.8254203501106518; Mean 2.023195876288661; Valid 1164.0; Min. 0.0; Max. 4.0;

Variable Format: numeric

Notes: UNF:6:XdZna0P5zWoHF798SLaqPw==

f746 Location:

Summary Statistics: Max. 2.0; StDev 0.5093262578042047; Valid 1164.0; Min. 0.0; Mean 1.5532646048109966

Variable Format: numeric

Notes: UNF:6:RsaCO3eJlUFBluXxQIwujA==

f746 Location:

Summary Statistics: Mean 46.01460481099653; Max. 99.0; Min. 0.0; Valid 1164.0; StDev 17.410494648899494

Variable Format: numeric

Notes: UNF:6:wcKbUt0rmqUVnFImUyRriw==

f746 Location:

Summary Statistics: Valid 1164.0; Min. 0.0; Max. 6.0; StDev 1.6277924811760385; Mean 3.1417525773195845

Variable Format: numeric

Notes: UNF:6:+fSJDhGkbwhnrdjabFqA+A==

f746 Location:

Summary Statistics: Max. 6.0; Min. 0.0; Valid 1164.0; StDev 1.5983190577371647; Mean 3.5584192439862563;

Variable Format: numeric

Notes: UNF:6:DOttdmsVGOD3eJq82nNwFw==

f746 Location:

Summary Statistics: Valid 1164.0; Min. 0.0; Mean 3.270618556701026; StDev 1.6320508530042908; Max. 6.0

Variable Format: numeric

Notes: UNF:6:zA4r3tCQ/1dkrAIuSeRc7w==

f746 Location:

Summary Statistics: StDev 0.8221383583457605; Max. 5.0; Mean 1.3479381443298961; Min. 0.0; Valid 1164.0

Variable Format: numeric

Notes: UNF:6:p+rGiqPZo9YpRHFEXxRoUw==

f746 Location:

Summary Statistics: Mean 1.0103092783505154; StDev 0.10923122531821201; Min. 0.0; Valid 1164.0; Max. 2.0

Variable Format: numeric

Notes: UNF:6:XnuAJg1f1Y++QsbBP2hNAg==

f746 Location:

Summary Statistics: StDev 1.2888480832088087; Min. 0.0; Mean 2.3075601374570556; Max. 4.0; Valid 1164.0

Variable Format: numeric

Notes: UNF:6:9Scjuulnw7mK8yIFOhk0Ug==

f746 Location:

Summary Statistics: Min. 1.0; StDev 0.6019982258150177; Valid 1164.0; Mean 1.3204467353951865; Max. 9.0;

Variable Format: numeric

Notes: UNF:6:2xwhOUvZ+BeVdr2n8MuHNg==

f746 Location:

Summary Statistics: Min. 0.0; Valid 1164.0; Max. 999999.0; StDev 186754.63883691558; Mean 39553.72276632303

Variable Format: numeric

Notes: UNF:6:nVsT0kECYHpCWdq9AK6Kow==

f746 Location:

Summary Statistics: StDev 1.7580539130715662; Min. 0.0; Mean 3.561855670103099; Valid 1164.0; Max. 6.0;

Variable Format: numeric

Notes: UNF:6:TCZ3T/WLsGJ0o6b49qoWBw==

f746 Location:

Summary Statistics: Valid 1164.0; StDev 0.8208254870600167; Max. 3.0; Min. 0.0; Mean 1.774054982817869;

Variable Format: numeric

Notes: UNF:6:E1A9aqDDgfzwwNgJZHHO/g==

f746 Location:

Summary Statistics: Max. 2.0; Valid 1164.0; Min. 0.0; StDev 0.5412234508222178; Mean 1.4390034364261173

Variable Format: numeric

Notes: UNF:6:tUBZYnuV7mWCLk5dSzQNFQ==

f746 Location:

Summary Statistics: StDev 8.761244200472529; Max. 24.0; Mean 10.872852233677019; Valid 1164.0; Min. 1.0

Variable Format: numeric

Notes: UNF:6:X5K+xPpJmxaBwP0szscfRA==

Label:

LiDA_SurveyData_0275_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.

application/gzip

Label:

LiDA_SurveyData_0275_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.

application/gzip

Label:

LiDA_SurveyData_0275_Questionnaire_v1.pdf

Text:

Klausimynas = Questionnaire

application/pdf