Barometer of the Public Opinion Research Center, August 1990 (hdl:21.12137/DYFUYP)

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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, August 1990

hdl:21.12137/DYFUYP

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, August 1990", https://hdl.handle.net/21.12137/DYFUYP, Lithuanian Data Archive for SSH (LiDA), V5, UNF:6:apUTlAdW2lwHDntTn5wGQQ== [fileUNF]

Barometer of the Public Opinion Research Center, August 1990

hdl:21.12137/DYFUYP

LiDA_SurveyData_0267

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

Žvaliauskas, Giedrius

Vilčinskas, Vidas

1990-08-12

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

2020-08-10

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/DYFUYP

Social Sciences, shopping, standard of living, political groups, political parties, political leaders, civil and political rights, market economy, privatization, taxation, political, social and economic issues

Government, political systems and organisations, https://vocabularies.cessda.eu/vocabulary/TopicClassification?code=EconomicsConsumptionAndConsumerBehaviour

<b><i>The purpose of the study</i></b>: to find out the opinion of the Lithuanian population on the socially relevant issues during the rapid political, social and economic transformation of the country. <br> <b><i>Major investigated questions</i></b>: respondents were asked whether they support the Lithuanian Government resolution to combat speculation and the taking of goods and whether there will be more goods in shops after this resolution comes into force. Respondents were asked if they agreed with the USSR occupying and annexing the Baltic States in 1940 and forcibly integrating them into the USSR. The events no longer matter today; the status of the Baltic republics stabilized after World War II. The Lithuanian people who participated in the survey were asked whether the leadership of USSR was interested in negotiations with Lithuania on the recognition of the republic's economic and political independence. The next question was whether Mr. Gorbachev and Mr. Yeltsin could be trusted as politicians. It was asked whether a military coup would take place in the USSR, whether the USSR leadership could avert the imminent collapse of the state for another 5 years, and whether the USSR would succeed in overcoming the economic crisis in the next 10 years. It was asked whether the USSR would be likely to use presidential power to force Lithuania to join the USSR and whether the Baltic states should demand compensation from the Soviet Union for the economic and moral damage of the last 50 years. After providing a list of states and famous foreign politicians, the respondents were asked to answer to what extent the listed states and politicians support the independence aspirations of the Baltic states. Furthermore, it was tried to find out whether it is very important for the Baltic states to cooperate for achieving independence and whether the respondents are satisfied with the current cooperation between the Baltic states in the economic and political fields. Opinions were sought on the outcome of the Second Conference on Security and Cooperation in Europe to be held in Paris (the so-called Helsinki Conference II). It was asked what kind of Western support the Baltic countries would need and how the respondents envision Lithuania's relations with the USSR in the future. Further, opinions were explored on how the activities of the Supreme Council and the government relate to the interests of the Lithuanian people. Respondents assessed the activities of various Lithuanian political forces and movements and answered the question to what extent interethnic clashes are likely in Lithuania. The survey also clarified what armies would be needed for an independent Lithuania and asked about the reasons why Lithuania should (not) have its own army. After a list of languages, respondents were asked to answer whether they knew each of the languages well. They were also asked what religious holidays they celebrate. Respondents were further asked if they were afraid to walk on the streets at night, where they lived, and if they had lived in Lithuania for a long time. They were asked if they shared the view that shops should be privatized (sold to traders themselves or to other people). At the end of the survey they wanted to know if the respondents had ever been abroad (excluding the USSR). <br> <b><i>Socio-demographic characteristics</i></b>: gender, age, education, social status, nationality, mother tongue, place of residence.

1990-08-07-1990-08-12

1990-08-07-1990-08-12

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, August 1990” from 2020-08-10 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_0332; produced by Žvaliauskas Giedrius 2020-08-10. </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>

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>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>

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: 1376

• No. of variables per record: 62

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

UNF:6:apUTlAdW2lwHDntTn5wGQQ==

Survey

• id_lida - Tyrimo identifikacinis numeris (LiDA)
• version - Versija (LiDA)
• ID - Respondento identifikacinis numeris
• K1 - K1|Kaip vertina parduotuv�, kurioje perka maisto produktus, buitines smulkmenas
• K2 - K2|Ar pakankamai arti �i parduotuv�
• K3_a - K3a|Palyginus su pra�jusiais metais, daugiau ar ma�iau perka: maisto produkt�
• K3_b - K3b|Palyginus su pra�jusiais metais, daugiau ar ma�iau perka: pramonini� preki�
• K4 - K4|Kaip vertina savo (savo �eimos) perkam�j� gali�
• K5 - K5|Jeigu pajamos padid�t�, ko daugiau pirkt�
• K6_a - K6a|Kokiam laikotarpiui �eima turi atsarg�: skalbimo milteli� (pastos)
• K6_b - K6b|Kokiam laikotarpiui �eima turi atsarg�: tualetinio muilo
• K6_c - K6c|Kokiam laikotarpiui �eima turi atsarg�: �ki�ko muilo
• K7 - K7|Ar patenkina pastaruoju metu Lietuvoje �vesta prekybos talon� sistema
• K8 - K8|Kaip vertina pramonini� preki� talon� skirstymo komisij� veikl�
• K9 - K9|Ar per pastaruosius 12�13 m�n. �sigijo televizori�, �aldytuv�, baldus
• K10 - K10|Kur pirko vertingiausi� i� �i� daikt�
• K11 - K11|Kokia nuomon� apie prekyb� komercin�mis arba aukciono kainomis
• K12 - K12|Ar ateityje Lietuva tur�s pakankamai preki�
• K13 - K13|D�l ko dabar yra i�tu�t�j� prekystaliai
• K14 - K14|Kaip �vertint� prekybininko profesijos autoritet�
• K15 - K15|Ar u�tenka informacijos apie prekes bei j� �sigijimo tvark�
• K16 - K16|Kokia informacijos apie prekes forma labiausiai pageidautina
• K17 - K17|Ar pritaria �. m. kovo m�n. 11 d. Lietuvos nepriklausomyb�s atstatymo aktui
• K18 - K18|Kuri i� politini� grupuo�i� savo programa yra artimiausia pa�i�roms
• K19 - K19|Kas svarbiau politiniame gyvenime: asmenin� laisv� ar socialin� lygyb�
• K20 - K20|Ilgalaik�je perspektyvoje kuris i� tiksl� Lietuvai �iandien� yra svarbesnis
• K21 - K21|Kuo vadovautis, kilus konfliktui tarp asmens interes� ir visuomen�s gerov�s
• K22_a - K22a|Teiginys: negali b�ti konflikt� tarp asmens interes� ir visuomen�s gerov�s
• K22_b - K22b|Teiginys: �mogumi, kuris priklauso LKP, negalima pasitik�ti
• K22_c - K22c|Teiginys: ateistui negalima leisti tarnauti valdi�kose institucijose
• K22_d - K22d|Teiginys: spauda, spausdinanti nuog� �moni� atvaizdus, neturi b�ti leid�iama
• K22_e - K22e|Teiginys: rusai, atvyk� Lietuvon po karo, turi gr��ti � savo t�vyn�
• K22_f - K22f|Teiginys: religij� gerbian�ios �alys turi neleisti knyg�, kritikuojan�i� relig.
• K23 - K23|Ar pritaria nuomone, kad galima pasitik�ti TSRS prezidentu M. Gorba�iovu
• K24 - K24|Ar religija respondento gyvenime yra pagrindin� elgesio nustatytoja
• K25 - K25|Kaip vertina Lietuvos Respublikos Auk��iausiosios Tarybos darb�
• K26 - K26|Kaip vertina Lietuvos Vyriausyb�s (Ministr� Tarybos) darb�
• K27 - K27|Ar nor�t�, kad ir ateityje LR AT sesijos b�t� transliuojamos per radij�
• K28 - K28|Ar pritaria kreipimuisi, kur rei�kiamas susir�pinimas demokratijos likimu
• K29 - K29|Kaip vertina dabartin� ekonomin� Lietuvos pad�t�
• K30 - K30|Kada Lietuvos �moni� pragyvenimo lygis bus pana�us � Vakar� �ali�
• K31 - K31|Kas atrodo labiau susij�s su rinkos ekonomika
• K32 - K32|Kok� ekonomin�s reformos variant� pasirinkt�
• K33 - K33|Ar reikia dal� valstybinio turto perleisti gyventojams (privatizuoti)
• K34 - K34|Kaip reik�t� atlikti valstybinio turto privatizacij�
• K35 - K35|Ar reikia gr��inti savininkams (�p�diniams) anks�iau valstyb�s atimt� turt�
• K36 - K36|�eimos m�nesin�s pajamos, kai auga 2 mokyklinio am�iaus vaikai (TSRS rubliais)
• K37 - K37|Mokes�iai (ne)turi trukdyti gauti ypa� dideles pajamas
• K38 - K38|Preki� kainos kaip dabar, bet j� tr�ksta / preki� pakanka, bet kainos auk�tos
• 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|Socialin� pad�tis
• S5 - S5|Tautyb�
• S6 - S6|Gyvenamoji vieta
• S7_a - S7a|�eimos sud�tis
• S7_b - S7b|�eimos sud�tis: suaugusi� nari� skai�ius
• S7_c - S7c|�eimos sud�tis: vaik� skai�ius
• S8 - S8|Kiek vidutini�kai pinig� per m�nes� tenka vienam �eimos nariui (TSRS rubliais)
• S9 - S9|Kokios respondento vidutin�s pajamos per m�nes� (TSRS rubliais)

f730 Location:

Variable Format: character

Notes: UNF:6:x0PMYfrVMyO1uohd4qW6jw==

f730 Location:

Variable Format: character

Notes: UNF:6:Fz2+I71F3a9V2q+g5IgRrg==

f730 Location:

Summary Statistics: Min. 1.0; Valid 1376.0; Max. 1376.0; StDev 397.3623452895568; Mean 688.5007267441886;

Variable Format: numeric

Notes: UNF:6:c7aKD+x4RkLq4lDYL6DBeg==

f730 Location:

Summary Statistics: Valid 1376.0; Mean 1.1388081395348828; Max. 7.0; Min. -5.0; StDev 3.274861567688996

Variable Format: numeric

Notes: UNF:6:Um7zxw/39sOtH9HbdxftGA==

f730 Location:

Summary Statistics: Max. 4.0; Valid 1376.0; Min. 0.0; StDev 0.7051183308247785; Mean 2.541424418604651

Variable Format: numeric

Notes: UNF:6:/jR6zaLFVq4iYisSXIT7Vw==

f730 Location:

Summary Statistics: Min. 0.0; Mean 2.394622093023256; Max. 4.0; Valid 1376.0; StDev 0.8857334725272551;

Variable Format: numeric

Notes: UNF:6:MSFPe0T5erqXWxuJkI9xbQ==

f730 Location:

Summary Statistics: StDev 0.8276153369031911; Mean 2.6947674418604652; Min. 0.0; Valid 1376.0; Max. 4.0;

Variable Format: numeric

Notes: UNF:6:9wn7gTNz2YBIihkwDX1NBA==

f730 Location:

Summary Statistics: StDev 0.7990679030858786; Valid 1376.0; Min. 0.0; Mean 1.777616279069767; Max. 5.0

Variable Format: numeric

Notes: UNF:6:K3qRI4bMVPhhUKiLQlWhLQ==

f730 Location:

Summary Statistics: Valid 1376.0; Mean 3.62936046511628; Min. 0.0; StDev 1.9147226406708824; Max. 7.0

Variable Format: numeric

Notes: UNF:6:0CTF8ru5UxG+C3NtX66ttg==

f730 Location:

Summary Statistics: Min. 0.0; Valid 1376.0; StDev 30.852195655158592; Mean 14.219476744186036; Max. 399.0

Variable Format: numeric

Notes: UNF:6:t/guNcBawiJvZs8BhY4PWg==

f730 Location:

Summary Statistics: Mean 13.045421511627904; StDev 26.406705913536847; Valid 1376.0; Max. 99.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:wgKqub/QJPUfToViEyH9RQ==

f730 Location:

Summary Statistics: Min. 0.0; StDev 36.15768998874804; Mean 20.343386627906984; Valid 1376.0; Max. 120.0;

Variable Format: numeric

Notes: UNF:6:1aFVLgS7PTc6t6+i0TwzXg==

f730 Location:

Summary Statistics: Mean 1.7027616279069766; Max. 3.0; Valid 1376.0; Min. 0.0; StDev 0.5842972505117615;

Variable Format: numeric

Notes: UNF:6:JLSLK7C+9MqmHuca5UGN2Q==

f730 Location:

Summary Statistics: Mean -0.9898255813953486; Max. 7.0; Valid 1376.0; Min. -5.0; StDev 3.9771947681879536

Variable Format: numeric

Notes: UNF:6:YJX9i5N6BLMdoOVCPg/jOg==

f730 Location:

Summary Statistics: Valid 1376.0; StDev 0.4557362836703941; Min. 0.0; Max. 2.0; Mean 1.7325581395348835;

Variable Format: numeric

Notes: UNF:6:DZ161m0019ArQ9fsWiGPmQ==

f730 Location:

Summary Statistics: Max. 10.0; Mean 0.8968023255813955; Min. 0.0; StDev 2.1274561728604264; Valid 1376.0;

Variable Format: numeric

Notes: UNF:6:+SBZeumDQ3GsgLeqWM7qXw==

f730 Location:

Summary Statistics: Max. 7.0; Min. 0.0; Mean 3.639534883720931; StDev 1.3642738467639306; Valid 1376.0;

Variable Format: numeric

Notes: UNF:6:AIg/UE2OIVu+Bc7ybNXr3A==

f730 Location:

Summary Statistics: Valid 1376.0; Max. 4.0; StDev 1.0709815991060152; Mean 1.946947674418605; Min. 0.0

Variable Format: numeric

Notes: UNF:6:Badm/9XuxUB9YmOE2uDwbw==

f730 Location:

Summary Statistics: Min. 0.0; Valid 1376.0; Max. 6.0; Mean 3.3561046511627897; StDev 1.7178228760276133

Variable Format: numeric

Notes: UNF:6:O8RS3Ffvxao4QmbVQEAyZA==

f730 Location:

Summary Statistics: StDev 3.4092951383505476; Valid 1376.0; Max. 7.0; Mean -0.15479651162790894; Min. -5.0;

Variable Format: numeric

Notes: UNF:6:spqajSCHylT9o/qLDY3t/g==

f730 Location:

Summary Statistics: Valid 1376.0; Mean 2.0094476744186047; Max. 3.0; Min. 0.0; StDev 0.5623827103462551

Variable Format: numeric

Notes: UNF:6:QtycAfTEhVxQ8X4zgoX7QQ==

f730 Location:

Summary Statistics: Min. 0.0; Max. 5.0; Valid 1376.0; Mean 2.8502906976744193; StDev 1.4191315868826127

Variable Format: numeric

Notes: UNF:6:DX0yqw9Xk6+fVoUpTanaSA==

f730 Location:

Summary Statistics: Mean 2.1031976744186034; Min. 0.0; Valid 1376.0; Max. 5.0; StDev 1.130517477725067

Variable Format: numeric

Notes: UNF:6:xjn1WWj1R5VdNBxcdBuXPQ==

f730 Location:

Summary Statistics: Min. 0.0; StDev 2.896988211518024; Mean 4.627180232558137; Max. 8.0; Valid 1376.0;

Variable Format: numeric

Notes: UNF:6:un5XIzMLzLB1+BO7AXhktg==

f730 Location:

Summary Statistics: Valid 1376.0; StDev 0.5401726292071864; Min. 0.0; Max. 2.0; Mean 1.5799418604651165;

Variable Format: numeric

Notes: UNF:6:FgNZnZOXcabi1rKPIWScdw==

f730 Location:

Summary Statistics: Mean 2.0828488372093026; Valid 1376.0; StDev 0.9925376961224733; Min. 0.0; Max. 4.0

Variable Format: numeric

Notes: UNF:6:wFSR7GVLv5EfNXSF54jtEg==

f730 Location:

Summary Statistics: Min. 0.0; Mean 2.0697674418604666; Max. 5.0; Valid 1376.0; StDev 1.3796711928654717;

Variable Format: numeric

Notes: UNF:6:F6ZpdtIEmdsYMuUIRoJ4IQ==

f730 Location:

Summary Statistics: Mean 2.288517441860466; StDev 1.0411387386655457; Min. 0.0; Valid 1376.0; Max. 5.0;

Variable Format: numeric

Notes: UNF:6:9hrxoHOdmRTGEy6viqDKdw==

f730 Location:

Summary Statistics: Valid 1376.0; StDev 1.1292975234214933; Max. 5.0; Min. 0.0; Mean 3.457848837209302

Variable Format: numeric

Notes: UNF:6:K4MYIBnPRGsRJj4mt+UchA==

f730 Location:

Summary Statistics: Valid 1376.0; Mean 3.523255813953487; Min. 0.0; Max. 5.0; StDev 1.1298449817896703;

Variable Format: numeric

Notes: UNF:6:MV3dlF67ltvApKvAftSgrQ==

f730 Location:

Summary Statistics: Max. 5.0; Mean 3.2390988372093026; StDev 1.3603038384013888; Valid 1376.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:bk69aKP73kwZOG3HHVWQ5g==

f730 Location:

Summary Statistics: Min. 0.0; Mean 3.1656976744186056; Valid 1376.0; StDev 1.2655493755627703; Max. 5.0

Variable Format: numeric

Notes: UNF:6:oJ3QBjwVvO2MlHS+j+1ylw==

f730 Location:

Summary Statistics: StDev 1.1967165703218547; Max. 5.0; Mean 2.7652616279069764; Valid 1376.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:8sc2DzR0ojsjSs0RxRg41w==

f730 Location:

Summary Statistics: StDev 0.989371637346888; Min. 0.0; Max. 5.0; Valid 1376.0; Mean 2.992732558139534;

Variable Format: numeric

Notes: UNF:6:1qOcCJUaiQXIGGAfhcRYAQ==

f730 Location:

Summary Statistics: Max. 5.0; StDev 1.2224641527059739; Mean 2.909883720930233; Valid 1376.0; Min. 0.0

Variable Format: numeric

Notes: UNF:6:o1X4RYMO1tRMOxoCzB7UZQ==

f730 Location:

Summary Statistics: StDev 3.409535115527753; Mean 1.7797965116279078; Min. -5.0; Valid 1376.0; Max. 7.0;

Variable Format: numeric

Notes: UNF:6:Nf4Buin2b4hs8uFOY4B0Rw==

f730 Location:

Summary Statistics: Min. -5.0; Max. 7.0; StDev 2.8650617362707362; Valid 1376.0; Mean 2.794331395348837

Variable Format: numeric

Notes: UNF:6:dA+qr+ej35XEFd/yGlHClw==

f730 Location:

Summary Statistics: Min. 0.0; Mean 2.678779069767441; Valid 1376.0; Max. 5.0; StDev 1.2084611849447136

Variable Format: numeric

Notes: UNF:6:XzszHW1WRLTpcxSRtGgqQw==

f730 Location:

Summary Statistics: StDev 1.0723026536256002; Mean 2.4287790697674407; Valid 1376.0; Max. 4.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:8CbVVWEhP0K3u4qAcvCgOw==

f730 Location:

Summary Statistics: Mean -1.2514534883720931; Min. -5.0; StDev 3.6001007150581583; Max. 7.0; Valid 1376.0;

Variable Format: numeric

Notes: UNF:6:Q1OVv17yvLZTLSnxEZiXqA==

f730 Location:

Summary Statistics: Min. 0.0; Valid 1376.0; Mean 4.446947674418604; StDev 1.3613167903928505; Max. 6.0;

Variable Format: numeric

Notes: UNF:6:xnlMFg5flnAc6WChzN1rEg==

f730 Location:

Summary Statistics: Max. 4.0; Mean 2.0225290697674416; Valid 1376.0; Min. 0.0; StDev 1.0326670144779007;

Variable Format: numeric

Notes: UNF:6:ZA90pb/WuqFjB+SkmnfyLQ==

f730 Location:

Summary Statistics: StDev 1.2202796615658538; Mean 2.3720930232558137; Max. 4.0; Min. 0.0; Valid 1376.0

Variable Format: numeric

Notes: UNF:6:DGP6vIHScBwP09YQEHBeDQ==

f730 Location:

Summary Statistics: Min. 0.0; StDev 0.8148486545425115; Valid 1376.0; Mean 1.7071220930232558; Max. 3.0

Variable Format: numeric

Notes: UNF:6:yw+s8MX/+9+eBdmDnnFFbQ==

f730 Location:

Summary Statistics: Min. 0.0; Max. 3.0; StDev 0.8759359234966225; Mean 1.9236918604651163; Valid 1376.0

Variable Format: numeric

Notes: UNF:6:By6n0vJxmK/tZ3LkRVHcFA==

f730 Location:

Summary Statistics: Mean 2.1337209302325597; Min. 0.0; StDev 1.0491192319229983; Max. 4.0; Valid 1376.0

Variable Format: numeric

Notes: UNF:6:qzBOgQxk/Rw33LmqxSpBcg==

f730 Location:

Summary Statistics: StDev 1092.775266699182; Min. 0.0; Mean 754.5348837209298; Max. 37500.0; Valid 1376.0

Variable Format: numeric

Notes: UNF:6:h9joPWk9pAWS/3+bWOqkJQ==

f730 Location:

Summary Statistics: Mean 1.7943313953488371; Min. 0.0; Valid 1376.0; StDev 0.7763765650923053; Max. 3.0

Variable Format: numeric

Notes: UNF:6:HHt/0mkfMlaDsmXTThsjEA==

f730 Location:

Summary Statistics: Mean 1.3343023255813953; Max. 2.0; Min. 0.0; Valid 1376.0; StDev 0.6337311906378905

Variable Format: numeric

Notes: UNF:6:vjWMS396q4NToOnkhX6BOw==

f730 Location:

Summary Statistics: Valid 1376.0; Max. 2.0; Mean 1.5821220930232558; Min. 0.0; StDev 0.4977916347508332

Variable Format: numeric

Notes: UNF:6:9u8V83S7NbPS7iHyIjccSg==

f730 Location:

Summary Statistics: Mean 43.26889534883721; Valid 1376.0; Max. 94.0; StDev 16.780345835008728; Min. 0.0

Variable Format: numeric

Notes: UNF:6:bJH5Ut0Q28reLFd1Gl8rSw==

f730 Location:

Summary Statistics: Valid 1376.0; Mean 2.9265988372093026; Max. 6.0; Min. 0.0; StDev 1.589416469836568

Variable Format: numeric

Notes: UNF:6:ETnc66W48w1Dw189Lnd85w==

f730 Location:

Summary Statistics: Min. 0.0; Max. 6.0; StDev 1.60461741239746; Valid 1376.0; Mean 3.3531976744186043

Variable Format: numeric

Notes: UNF:6:mvLbSOJamLD8Jx0YKsGLOA==

f730 Location:

Summary Statistics: Valid 1376.0; Max. 5.0; StDev 1.3451720497957886; Mean 3.0806686046511618; Min. 0.0

Variable Format: numeric

Notes: UNF:6:tDCktLbZ82EXplwMmPM7Sg==

f730 Location:

Summary Statistics: Max. 9.0; StDev 2.58117391389738; Valid 1376.0; Min. 0.0; Mean 3.8357558139534884;

Variable Format: numeric

Notes: UNF:6:C5yOdoK2+lGYPJ3C/jIvPw==

f730 Location:

Summary Statistics: StDev 0.8978009309573598; Valid 1376.0; Max. 5.0; Min. 0.0; Mean 1.3866279069767466

Variable Format: numeric

Notes: UNF:6:NsY62DC917wagwFcu3hKHA==

f730 Location:

Summary Statistics: Min. 0.0; Mean 1.2609011627906976; Valid 1376.0; Max. 2.0; StDev 0.444224744559159

Variable Format: numeric

Notes: UNF:6:paKqySUTvPtA9Cfgmogt2A==

f730 Location:

Summary Statistics: StDev 0.5502906208921428; Min. 0.0; Valid 1376.0; Mean 1.740552325581395; Max. 2.0;

Variable Format: numeric

Notes: UNF:6:+Ve+dSXcuTGOJ+eKfrvXnQ==

f730 Location:

Summary Statistics: Min. 0.0; Valid 1376.0; Mean 1.8350290697674418; StDev 1.1974371416676712; Max. 7.0;

Variable Format: numeric

Notes: UNF:6:3F+Vf//UsnXQ8xehJecGYQ==

f730 Location:

Summary Statistics: Max. 9.0; Mean 1.0915697674418603; Min. 0.0; Valid 1376.0; StDev 1.20618473160845;

Variable Format: numeric

Notes: UNF:6:cYNlMtrdenkQ+1FRAIx4+w==

f730 Location:

Summary Statistics: Max. 999.0; Valid 1376.0; StDev 72.26537414061377; Min. 0.0; Mean 106.99200581395354

Variable Format: numeric

Notes: UNF:6:to8LMP07KZbPBtX4ZtlwBg==

f730 Location:

Summary Statistics: Min. 0.0; StDev 132.19150013614794; Max. 2500.0; Valid 1376.0; Mean 163.2456395348838

Variable Format: numeric

Notes: UNF:6:wQ+/dbxjS3qBUkXD0jW3KQ==

Label:

LiDA_SurveyData_0267_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_0267_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_0267_Questionnaire_v1.pdf

Text:

Klausimynas = Questionnaire

application/pdf