Barometer of the Public Opinion Research Center, December 1993 (hdl:21.12137/S4YPDK)

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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, December 1993

hdl:21.12137/S4YPDK

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, December 1993", https://hdl.handle.net/21.12137/S4YPDK, Lithuanian Data Archive for SSH (LiDA), V5, UNF:6:VCKptZwwT3R9sI9Ay3aX7Q== [fileUNF]

Barometer of the Public Opinion Research Center, December 1993

hdl:21.12137/S4YPDK

LiDA_SurveyData_0280

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

Žvaliauskas, Giedrius

Vilčinskas, Vidas

1993-12-07

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/S4YPDK

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

Economic conditions and indicators, Government, political systems 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 how A. M. Brazauskas performs the duties of the President, and Č. Juršėnas and A. Šleževičius hold the positions of the Speaker of the Seimas and the Prime Minister respectively. Opinions were evaluated on how the activities of the Seimas and the Government correspond to the interests of the people. Further 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. <br> <b><i>Socio-demographic characteristics</i></b>: gender, age, nationality, country of birth, education, work status, employment, occupation, average monthly income of respondent, monthly family income per one family member, place of residence.

1993-12-03-1993-12-07

1993-12-03-1993-12-07

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 metadata) “Barometer of the Public Opinion Resarch Center, December 1993” from 2021-07-27 to 2021-10-01 was available on the portal of Lithuanian Data Archive for Humanities and Social Sciences (LiDA) www.lidata.eu; object PID: www.lidata.eu/data/quant/LiDA_VNTC_0345; 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>

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: 1082

• No. of variables per record: 28

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

UNF:6:VCKptZwwT3R9sI9Ay3aX7Q==

Survey

• id_lida - Tyrimo identifikacinis numeris (LiDA)
• version - Versija (LiDA)
• ID - Respondento identifikacinis numeris
• K1 - K1|Kaip Algirdas Mykolas Brazauskas atlieka Lietuvos Prezidento pareigas
• K2 - K2|Kaip �eslovas Jur��nas atlieka Lietuvos Seimo pirmininko pareigas
• K3 - K3|Kaip Lietuvos Seimo veikla atitinka �moni� interesus
• K4 - K4|Kaip Adolfas �le�evi�ius atlieka Lietuvos Ministro Pirmininko pareigas
• K5 - K5|Kaip Lietuvos Vyriausyb�s veikla atitinka �moni� interesus
• K6 - K6|Kaip vertint� dabartin� Lietuvos ekonomin� pad�t�
• K7 - K7|Kokia bus Lietuvos ekonomin� pad�tis po 12 m�nesi�
• K8 - K8|Kaip vertint� dabartin� savo (savo �eimos) materialin� pad�t�
• K9 - K9|Kokia bus respondento �eimos (respondento) materialin� pad�tis po 12 m�nesi�
• S1 - S1|Lytis
• S2 - S2|Am�ius
• S2_r1 - S2|Am�iaus grup�s (LiDA 1)
• S2_r2 - S2|Am�iaus grup�s (LiDA 2)
• S3 - S3|Tautyb�
• S4 - S4|I�simokslinimas
• S5 - S5|Darbinis statusas
• S6 - S6|U�si�mimas
• S7 - S7|U�imtumas
• S8 - S8|Respondento vidutin�s pajamos per m�nes� (LTL)
• S8_r - S8|Pajam� grup�s (VNTC)
• S9 - S9|Pajamos vienam �eimos nariui per m�nes� (LTL)
• S9_r - S9|Pajam� grup�s (VNTC)
• S10 - S10|Gyvenamoji vieta
• S10_r - S10|Gyvenamoji vieta (VNTC)
• MK - Miest� ir rajon� kodai

f756 Location:

Variable Format: character

Notes: UNF:6:DSkFfGrKPh++lMmWpVDMOA==

f756 Location:

Variable Format: character

Notes: UNF:6:WEgxPQArnd3NclS6xfj7Og==

f756 Location:

Summary Statistics: Valid 1082.0; StDev 312.490799864572; Min. 1.0; Mean 541.5; Max. 1082.0;

Variable Format: numeric

Notes: UNF:6:6q3d/jjY8dcTz8XgGBFsCw==

f756 Location:

Summary Statistics: Mean 2.9103512014787443; StDev 1.2673601408763737; Min. 1.0; Max. 5.0; Valid 1082.0

Variable Format: numeric

Notes: UNF:6:jS4hpMsltFo9BEzJOT5nzg==

f756 Location:

Summary Statistics: Min. 1.0; Valid 1082.0; StDev 1.315598926553413; Mean 3.318853974121997; Max. 5.0

Variable Format: numeric

Notes: UNF:6:dXS5RmbsD2zM63RB+S+8rw==

f756 Location:

Summary Statistics: Valid 1082.0; Min. 1.0; Max. 5.0; Mean 3.3077634011090575; StDev 1.0108178915284995;

Variable Format: numeric

Notes: UNF:6:XtQ7rOWZbsgyHpn36JXE6g==

f756 Location:

Summary Statistics: Min. 1.0; Max. 5.0; StDev 1.2453909067659805; Mean 3.1931608133086877; Valid 1082.0;

Variable Format: numeric

Notes: UNF:6:ci6Xkjg25+eW3ZMfAjNo8g==

f756 Location:

Summary Statistics: Valid 1082.0; Max. 5.0; Min. 1.0; Mean 3.229205175600739; StDev 1.0364125115195446

Variable Format: numeric

Notes: UNF:6:mYAL4aeMALtWQUmTMGfThA==

f756 Location:

Summary Statistics: Valid 1082.0; StDev 1.1371188318056773; Max. 6.0; Mean 1.5258780036968573; Min. 1.0

Variable Format: numeric

Notes: UNF:6:rrlpTN+2jGLm6t0RsodyHw==

f756 Location:

Summary Statistics: Valid 1082.0; Min. 1.0; StDev 1.4216327835076221; Mean 3.3872458410351203; Max. 6.0

Variable Format: numeric

Notes: UNF:6:x/TvZv+bY/1cErC4XdsjPQ==

f756 Location:

Summary Statistics: Valid 1082.0; StDev 0.9975873779378193; Mean 1.657116451016637; Min. 1.0; Max. 6.0;

Variable Format: numeric

Notes: UNF:6:dbq+TYBNRm/+ALdKSQovbQ==

f756 Location:

Summary Statistics: StDev 1.4219118032793763; Min. 1.0; Mean 3.4482439926062844; Max. 6.0; Valid 1082.0

Variable Format: numeric

Notes: UNF:6:z7YcmykPk7ruQ6XJ5XOWHA==

f756 Location:

Summary Statistics: StDev 0.49212490850605767; Min. 1.0; Valid 1082.0; Mean 1.589648798521257; Max. 2.0;

Variable Format: numeric

Notes: UNF:6:KsH2pF6muMlUxh6Z8PxkTg==

f756 Location:

Summary Statistics: Min. 18.0; Valid 1082.0; StDev 16.821164239633376; Mean 45.37153419593345; Max. 90.0;

Variable Format: numeric

Notes: UNF:6:ItHhKzSw9Sjw7JB8GS1v4A==

f756 Location:

Summary Statistics: Mean 3.1090573012938987; Min. 1.0; Valid 1082.0; StDev 1.6211858356855107; Max. 6.0;

Variable Format: numeric

Notes: UNF:6:Jh1y807FxX8Vr5X1cu91tg==

f756 Location:

Summary Statistics: StDev 1.640796088787288; Max. 6.0; Min. 1.0; Valid 1082.0; Mean 3.5452865064695014

Variable Format: numeric

Notes: UNF:6:ww7sVfcb0jiHyD/skQRrzg==

f756 Location:

Summary Statistics: Min. 1.0; StDev 0.8571888304983458; Valid 1082.0; Mean 1.3853974121996266; Max. 5.0;

Variable Format: numeric

Notes: UNF:6:ZYKp3hf0HUE0zTNMjBI1ow==

f756 Location:

Summary Statistics: Min. 1.0; Max. 5.0; StDev 1.340086713611963; Mean 3.2911275415896504; Valid 1082.0;

Variable Format: numeric

Notes: UNF:6:V5lWuo9FxhIVaBA1ol4z8w==

f756 Location:

Summary Statistics: Mean 1.4584103512014783; Valid 1082.0; StDev 0.49849771149563593; Max. 2.0; Min. 1.0

Variable Format: numeric

Notes: UNF:6:Usw3hWltujUDROqjumN1pg==

f756 Location:

Summary Statistics: Min. 1.0; Mean 5.671903881700552; StDev 4.385085929665386; Valid 1082.0; Max. 99.0

Variable Format: numeric

Notes: UNF:6:aoHlPdXA7p3ivASNqOa4NQ==

f756 Location:

Summary Statistics: StDev 2.260287778837912; Valid 1082.0; Max. 9.0; Mean 7.1672828096118275; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:rrBVD6fzUbMF3/3zzYEmzg==

f756 Location:

Summary Statistics: StDev 526.3920590374837; Max. 16000.0; Valid 1082.0; Min. 0.0; Mean 156.73567467652484;

Variable Format: numeric

Notes: UNF:6:spv57ZtU25nTe0W7mi/7HQ==

f756 Location:

Summary Statistics: Mean 3.193160813308686; Valid 1082.0; Max. 5.0; Min. -1.0; StDev 1.663291819327807

Variable Format: numeric

Notes: UNF:6:lolwkSVd9yRDzp/heFynqA==

f756 Location:

Summary Statistics: Mean 100.46765249537899; StDev 138.12010408512577; Min. 0.0; Max. 3200.0; Valid 1082.0;

Variable Format: numeric

Notes: UNF:6:Apj64FMz9HUTxivJ/Xqs+w==

f756 Location:

Summary Statistics: Min. 0.0; Valid 1082.0; StDev 1.448833448921129; Max. 5.0; Mean 3.3595194085027718;

Variable Format: numeric

Notes: UNF:6:6rsHMfXO2HEwgyiaHY34Ww==

f756 Location:

Summary Statistics: StDev 1.5949435851353115; Max. 6.0; Min. 1.0; Valid 1082.0; Mean 3.1219963031423266

Variable Format: numeric

Notes: UNF:6:wAWdYD8RfNkBLTQD2E7MHg==

f756 Location:

Summary Statistics: StDev 0.45406597187626024; Valid 1082.0; Min. 1.0; Mean 1.290203327171905; Max. 2.0;

Variable Format: numeric

Notes: UNF:6:hvu7tmLnjfC4JzEzQjV9uA==

f756 Location:

Summary Statistics: Valid 1082.0; Min. 1.0; Mean 9.035120147874316; Max. 19.0; StDev 6.292196349997365

Variable Format: numeric

Notes: UNF:6:fDiZYvmEUkRiwf+TCXqwYQ==

Label:

LiDA_SurveyData_0280_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.

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LiDA_SurveyData_0280_Internal_documents_v1.tar.gz

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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.

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LiDA_SurveyData_0280_Questionnaire_v1.pdf

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Klausimynas = Questionnaire

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