ESS8, Methodological Tests Questionnaire Data, Lithuania, October - December 2017 (hdl:21.12137/SV2KZI)

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Part 1: Document Description
Part 2: Study Description
Part 3: Data Files Description
Part 4: Variable Description
Part 5: Other Study-Related Materials
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Document Description

Citation

Title:

ESS8, Methodological Tests Questionnaire Data, Lithuania, October - December 2017

Identification Number:

hdl:21.12137/SV2KZI

Distributor:

Lithuanian Data Archive for SSH (LiDA)

Date of Distribution:

2022-04-09

Version:

3

Bibliographic Citation:

Krupavičius, Algis; Butkevičienė, Eglė; Morkevičius, Vaidas; Šarkutė, Ligita; Žvaliauskas, Giedrius, 2022, "ESS8, Methodological Tests Questionnaire Data, Lithuania, October - December 2017", https://hdl.handle.net/21.12137/SV2KZI, Lithuanian Data Archive for SSH (LiDA), V3, UNF:6:97od2tpHV/nCsHWrUOWz9g== [fileUNF]

Study Description

Citation

Title:

ESS8, Methodological Tests Questionnaire Data, Lithuania, October - December 2017

Identification Number:

hdl:21.12137/SV2KZI

Identification Number:

LiDA_SurveyData_0316

Authoring Entity:

Krupavičius, Algis (Institute of Public Policy and Administration, Faculty of Social Sciences, Arts and Humanities, Kaunas University of Technology, Lithuania [Project Leader])

Butkevičienė, Eglė (Institute of Public Policy and Administration, Faculty of Social Sciences, Arts and Humanities, Kaunas University of Technology, Lithuania [Project Member])

Morkevičius, Vaidas (Institute of Public Policy and Administration, Faculty of Social Sciences, Arts and Humanities, Kaunas University of Technology, Lithuania [National Coordinator for Lithuania at ESS Round 8; Project Member; Data curation])

Šarkutė, Ligita (Institute of Public Policy and Administration, Faculty of Social Sciences, Arts and Humanities, Kaunas University of Technology, Lithuania [Project Member])

Žvaliauskas, Giedrius (Institute of Public Policy and Administration, Faculty of Social Sciences, Arts and Humanities, Kaunas University of Technology, Lithuania [Project Member; Data curation])

Other identifications and acknowledgements:

Fitzgerald, Rory (Core Scientific Team: ESS ERIC Headquarters at City University London, United Kingdom [Principal Investigator and Director] [ORCID: 0000-0002-2126-5564])

Other identifications and acknowledgements:

Harrison, Eric (Core Scientific Team: ESS ERIC Headquarters at City University London, United Kingdom [ORCID: 0000-0002-4332-7025])

Other identifications and acknowledgements:

Winstone, Lizzy (Core Scientific Team: ESS ERIC Headquarters at City University London, United Kingdom [ORCID: 0000-0002-5547-6087])

Other identifications and acknowledgements:

Villar, Ana (Core Scientific Team: ESS ERIC Headquarters at City University London, United Kingdom)

Other identifications and acknowledgements:

Ryan, Lorna (Core Scientific Team: ESS ERIC Headquarters at City University London, United Kingdom)

Other identifications and acknowledgements:

Butt, Sarah (Core Scientific Team: ESS ERIC Headquarters at City University London, United Kingdom [ORCID: 0000-0002-0307-8925])

Other identifications and acknowledgements:

Douhou, Salima (Core Scientific Team: ESS ERIC Headquarters at City University London, United Kingdom)

Other identifications and acknowledgements:

Looseveldt, Geert (Core Scientific Team: Katholieke Universiteit Leuven, Kingdom of Belgium)

Other identifications and acknowledgements:

Sommer, Elena (Core Scientific Team: ESS ERIC Headquarters at City University London, United Kingdom)

Other identifications and acknowledgements:

Salini, Luca (Core Scientific Team: ESS ERIC Headquarters at City University London, United Kingdom)

Other identifications and acknowledgements:

Ros, Virginia (Core Scientific Team: ESS ERIC Headquarters at City University London, United Kingdom)

Other identifications and acknowledgements:

Henrichsen, Bjørn (Core Scientific Team: Norwegian Centre for Research Data, Kingdome of Norway)

Other identifications and acknowledgements:

Denies, Katrijn (Core Scientific Team: Katholieke Universiteit Leuven, Kingdom of Belgium [ORCID: 0000-0003-2180-5935])

Other identifications and acknowledgements:

Beullens, Koen (Core Scientific Team: Katholieke Universiteit Leuven, Kingdom of Belgium)

Other identifications and acknowledgements:

Koch, Achim (Core Scientific Team: Leibniz Institute for the Social Sciences, Federal Republic of Germany)

Other identifications and acknowledgements:

Skjåk, Knut Kalgraff (Core Scientific Team: Norwegian Centre for Research Data, Kingdome of Norway)

Other identifications and acknowledgements:

Scheuer, Angelika (Core Scientific Team: Leibniz Institute for the Social Sciences, Federal Republic of Germany)

Other identifications and acknowledgements:

Kolsrud, Kirstine (Core Scientific Team: Norwegian Centre for Research Data, Kingdome of Norway)

Other identifications and acknowledgements:

Rojas, Diana Zavala (Core Scientific Team: Universitat Pompeu Fabra, Kingdome of Spain [ORCID: 0000-0003-4603-7434])

Other identifications and acknowledgements:

Weber, Wiebke (Core Scientific Team: Universitat Pompeu Fabra, Kingdome of Spain [ORCID: 0000-0002-6754-1392])

Other identifications and acknowledgements:

Halbherr, Verena (Core Scientific Team: Leibniz Institute for the Social Sciences, Federal Republic of Germany [ORCID: 0000-0001-7995-1738)]

Other identifications and acknowledgements:

de Castellarnau, Anna (Core Scientific Team: Universitat Pompeu Fabra, Kingdome of Spain)

Other identifications and acknowledgements:

Zins, Stefan (Core Scientific Team: Leibniz Institute for the Social Sciences, Federal Republic of Germany; The Sampling and Weighting Expert Panel [Chair until May 2017] [ORCID: 0000-0002-3097-5939])

Other identifications and acknowledgements:

Revilla, Melanie (Core Scientific Team: Universitat Pompeu Fabra, Kingdome of Spain [ORCID: 0000-0002-8026-8319])

Other identifications and acknowledgements:

Dorer, Brita (Core Scientific Team: Leibniz Institute for the Social Sciences, Federal Republic of Germany [ORCID: 0000-0001-7916-2296])

Other identifications and acknowledgements:

Briceno-Rosas, Roberto (Core Scientific Team: Universitat Pompeu Fabra, Kingdome of Spain [ORCID: 0009-0009-0287-2463])

Other identifications and acknowledgements:

Stoop, Ineke (Core Scientific Team: The Netherlands Institute for Social Research, Kingdom of the Netherlands)

Other identifications and acknowledgements:

Breen, Michael (The ESS ERIC General Assembly [Chair] [ORCID: 0000-0002-5019-0901])

Other identifications and acknowledgements:

Lynn, Peter (Core Scientific Team: University of Essex, United Kingdom; The Sampling and Weighting Expert Panel [Chair since June 2017]) [ORCID: 0000-0002-3493-5686])

Other identifications and acknowledgements:

Steijn, Sander (Core Scientific Team: The Netherlands Institute for Social Research, Kingdom of the Netherlands)

Other identifications and acknowledgements:

Kappelhof, Joost (Core Scientific Team: The Netherlands Institute for Social Research, Kingdom of the Netherlands)

Other identifications and acknowledgements:

Malnar, Brina (Core Scientific Team: University of Ljubljana, Republic of Slovenia)

Other identifications and acknowledgements:

Scott, Jacqueline (The Scientific Advisory Board [Chair])

Other identifications and acknowledgements:

Dorer, Brita (The Translation Expert Group [Chair] [ORCID: 0000-0001-7916-2296])

Other identifications and acknowledgements:

van Oorschot, Wim (ESS Round 8 Questionnaire Design Team on "Welfare attitudes" [Chair])

Other identifications and acknowledgements:

Schneider, Silke (Core Scientific Team: Leibniz Institute for the Social Sciences, Federal Republic of Germany [Expert on international education classification] [ORCID: 0000-0001-5531-5040])

Other identifications and acknowledgements:

Lyberg, Lars (The ESS ERIC Research Ethics Committee [Chair]; The Sampling Expert Panel [Chair until May 2017])

Other identifications and acknowledgements:

Kuyper, Lisette ([Expert for the new core items included in Round 8])

Other identifications and acknowledgements:

Banducci, Susan ([Expert for the new core items included in Round 8] [ORCID: 0000-0002-1874-5110])

Other identifications and acknowledgements:

Poortinga, Wouter (ESS Round 8 Questionnaire Design Team on "Attitudes to climate change, energy security, and energy preferences" [Chair] [ORCID: 0000-0002-6926-8545])

Other identifications and acknowledgements:

Vogel, Joachim ([Expert of papers on topics for the core questionnaire])

Other identifications and acknowledgements:

Curtice, John ([Expert of papers on topics for the core questionnaire])

Other identifications and acknowledgements:

Stevens, Daniel ([Expert for the new core items included in Round 8])

Other identifications and acknowledgements:

Schwartz, Shalom ([Expert of papers on topics for the core questionnaire])

Other identifications and acknowledgements:

Newton, Ken ([Expert of papers on topics for the core questionnaire])

Other identifications and acknowledgements:

Thomassen, Jacques ([Expert of papers on topics for the core questionnaire])

Other identifications and acknowledgements:

Kuhn, Theresa ([Expert for the new core items included in Round 8] [ORCID: 0000-0001-8784-1731])

Other identifications and acknowledgements:

Gibson, Rachel ([Expert for the new core items included in Round 8])

Other identifications and acknowledgements:

Cantioch, Marta ([Expert for the new core items included in Round 8])

Other identifications and acknowledgements:

Jonsson, Jan O. ([Expert of papers on topics for the core questionnaire] [ORCID: 0000-0003-0410-7166])

Other identifications and acknowledgements:

Eriksson, Robert ([Expert of papers on topics for the core questionnaire])

Date of Production:

2017-12-28

Software used in Production:

SPSS

Grant Number:

MTI01/14

Distributor:

Lithuanian Data Archive for SSH (LiDA)

Distributor:

Lithuanian Data Archive for Social Sciences and Humanities

Access Authority:

Center for Data Analysis and Archiving (DAtA)

Depositor:

Morkevičius, Vaidas (Institute of Public Policy and Administration, Faculty of Social Sciences, Arts and Humanities, Kaunas University of Technology, Lithuania [ORCID: 0000-0002-2174-0396])

Date of Deposit:

2018-06-15

Date of Distribution:

2018-10-25

Series Name:

European Social Survey

Series Information:

<p> Dataverse collection "European Social Survey" contains survey data of the European Social Survey (ESS) conducted in Lithuania from 2009 (Round 4). </p> <p> The ESS is an academically driven cross-national survey that has been conducted across Europe since its establishment in 2001. Every two years, face-to-face interviews are conducted with newly selected, cross-sectional samples. The survey measures the attitudes, beliefs and behaviour patterns of diverse populations in more than thirty nations. </p>

Holdings Information:

https://hdl.handle.net/21.12137/SV2KZI

Study Scope

Keywords:

Social Sciences, data collection methodology, mode of data collection, surveys

Topic Classification:

Other

Abstract:

<p> This dataset contains data from the European Social Survey Wave 8 methodological test questionnaire conducted in Lithuania. The dataset was compiled by the survey organisation UAB Baltijos tyrimai and organised by the EVS National Coordinator in Lithuania and the Lithuanian HSM Data Archive (LiDA). <br><br> The methodological tests allow testing the reliability and validity of the questions in the main survey in a Multi-Trait Multi-Method (MTMM) manner: the "same" question is asked twice using slightly different instrumentation and delivery method (different scales and wording). </p> <p>This dataset was created using <b>version 2.0</b> of the integrated data file of countries participating in the ESS Round 8 (Lithuanian data) published in the ESS Data Archive on 2018-05-30. </p>

Time Period:

2017-10-04-2017-12-28

Date of Collection:

2017-10-04-2017-12-28

Country:

Lithuania

Geographic Unit(s):

Panevėžys County, Vilnius County, Klaipėda County, Kaunas County, Šiauliai County, Tauragė County, Utena County, Alytus County, Telšiai County, Marijampolė County

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 15 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) and Russian (rus). </p> </p> <p> Dataset (data and metadata) “ESS8, Methodological Tests Questionnaire Data, Lithuania, October - December 2017” from 2018-10-25 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_ESS_0311; produced by Morkevičius, Vaidas</a> ir Žvaliauskas, Giedrius 2018-10-25. </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:

UAB "Baltijos tyrimai"

Sampling Procedure:

<p><b>Probability: Multistage </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><b>Sampling frame</b>: The Address register of the Republic of Lithuania. A version updated in October 2016 was used. <p><b>Sampling Design</b>: 2-domain design. <p><b>1stSampling Domain</b>: The 54 settlements (7 biggest cities and other towns including suburbs) that have a total population of 5 000 or more, (that is 65.11% of the population aged 15 and over). <p><b>Sampling Design</b>: 3-stage design: <br>At the first stage address are selected by a stratified sampled. The stratification is based on the 7 biggest cities with a population larger than 40 000 and the 10 counties of Lithuania. The selection within the strata is done by a simple random sampling. <br> At the second stage one household is selected, where necessary, from each sampled address with equal probability using a Kish Grid. In practice, there was only one sampled address where this was necessary. <br> At the third stage, one person is selected from each sampled household using the last birthday method. </p> <p><b>2ndSampling Domain</b>: The rest of settlements that include small towns and villages. <p><b>Sampling Design</b>: 4-stage design: <br> At the first stage, 167 Elderships, the smallest local administrative units (LAU2 – Eurostat, with a known population aged 15 and over) are selected by a stratified sample. The stratification is based on counties. The selection within the strata is done with probability proportional to the population aged 15+ in the Elderships. <br> At the second stage 8 addresses are selected from each sampled Eldership by a simple random sample. <br> At third stage one household is selected, where necessary, from each sampled address with equal probability using a Kish Grid. There was only one sampled address where this was necessary. <br> At the fourth stage, one person is selected from each sampled household using the last birthday method.

Mode of Data Collection:

Self-administered questionnaire: Paper; Face-to-face interview: Paper-and-pencil (PAPI) <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

Cleaning Operations:

The organisation carrying out the survey 100% physically checked the logic and completion of the questionnaire. <li> They also carried out the verification of the data.

Data Access

Archive Where Study was Originally Stored:

Viešosios politikos ir administravimo institutas, Socialinių, humanitarinių mokslų ir menų fakultetas, Kauno technologijos universitetas, Lietuva = Institute of Public Policy and Administration, Faculty of Social Sciences, Arts and Humanities, Kaunas University of Technology, Lithuania

Extent of Collection:

<b>Pagrindiniai failai = Major files</b> <p>Duomenų failai (1, SPSS SAV formatu) = Data files (1, SPSS SAV format).</p> <p>Klausimynai (2, PDF formatu) = Questionnaires (2, PDF format).</p> <p>Kortelės (2, PDF formatu) = Showcards (2, PDF format).</p> <b>Kiti failai = Other files</b> <p> SPSS sintaksės failai (1, TXT formatu) = SPSS syntax files (1, TXT format).</p> <p>Kiti su duomenų rinkiniu susijęs failai (1, įvairūs formatai) = Other files related to the dataset (1, 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>Jei norite gauti depozitoriaus perduotą tyrimo duomenų failą, ankstesnes duomenų failų versijas SPSS formatu arba pirminio apdorojimo SPSS komandų sintaksę, rašykite data@ktu.lt. </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 data@ktu.lt.</p> <p>Access to the LiDA internal documents related to the published dataset is not provided.</P>

Other Study Description Materials

Related Studies

Most recent version of the integrated data file (version 2.0) of countries participating in the ESS Round 8 published in the <a href="https://www.europeansocialsurvey.org/data/download.html?r=8" target="_blank">ESS Data Archive</a> on 2018-05-30. </p>

File Description--f1987

File: LiDA_SurveyData_0316_Data_v1.tab

  • Number of cases: 2122

  • No. of variables per record: 26

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

Notes:

UNF:6:97od2tpHV/nCsHWrUOWz9g==

Survey

Variable Description

List of Variables:

  • id_lida - Tyrimo identifikacinis numeris (LiDA)
  • version - Versija (LiDA)
  • essround - EST banga (EST)
  • edition - Versija (EST)
  • proddate - Sukūrimo data (EST)
  • idno - Respondento identifikacinis numeris
  • admqfi - Respondentų skirstymas į grupes
  • testgc33 - C33|Svarbu imigruojant į Lietuvą: turėti gerą išsilavinimą
  • testgc34 - C34|Svarbu imigruojant į Lietuvą: turėti krikščioniškas šaknis
  • testgc35 - C35|Svarbu imigruojant į Lietuvą: turėti darbinių įgūdžių, kurių reikia Lietuvai
  • testgc36 - C36|Svarbu imigruojant į Lietuvą: turėti gerą išsilavinimą
  • testgc37 - C37|Svarbu imigruojant į Lietuvą: turėti krikščioniškas šaknis
  • testgc38 - C38|Svarbu imigruojant į Lietuvą: turėti darbinių įgūdžių, kurių reikia Lietuvai
  • testgc39 - C39|Svarbu imigruojant į Lietuvą: turėti gerą išsilavinimą
  • testgc40 - C40|Svarbu imigruojant į Lietuvą: turėti krikščioniškas šaknis
  • testgc41 - C41|Svarbu imigruojant į Lietuvą: turėti darbinių įgūdžių, kurių reikia Lietuvai
  • icadmi - Apklausėjo kodas, I dalies administravimas
  • testgi2 - C36|Svarbu imigruojant į Lietuvą: turėti gerą išsilavinimą
  • testgi3 - C37|Svarbu imigruojant į Lietuvą: turėti krikščioniškas šaknis
  • testgi4 - C38|Svarbu imigruojant į Lietuvą: turėti darbinių įgūdžių, kurių reikia Lietuvai
  • testgi5 - C39|Svarbu imigruojant į Lietuvą: turėti gerą išsilavinimą
  • testgi6 - C40|Svarbu imigruojant į Lietuvą: turėti krikščioniškas šaknis
  • testgi7 - C41|Svarbu imigruojant į Lietuvą: turėti darbinių įgūdžių, kurių reikia Lietuvai
  • testgi8 - C33|Svarbu imigruojant į Lietuvą: turėti gerą išsilavinimą
  • testgi9 - C34|Svarbu imigruojant į Lietuvą: turėti krikščioniškas šaknis
  • testgi10 - C35|Svarbu imigruojant į Lietuvą: turėti darbinių įgūdžių, kurių reikia Lietuvai

Variables

Tyrimo identifikacinis numeris (LiDA)

f1987 Location:

Variable Format: character

Notes: UNF:6:AGJiTLBVd8uPY0DwCyJIWQ==

Versija (LiDA)

f1987 Location:

Variable Format: character

Notes: UNF:6:CS/jrW56VayFoQk9XoJLSg==

EST banga (EST)

f1987 Location:

Summary Statistics: Valid 2122.0; StDev 0.0; Mean 8.0; Min. 8.0; Max. 8.0

Variable Format: numeric

Notes: UNF:6:GOw+MUU5bd+oLqbu1vdvAA==

Versija (EST)

f1987 Location:

Variable Format: character

Notes: UNF:6:wpgCYhgqju+OHSO4v7ynNQ==

Sukūrimo data (EST)

f1987 Location:

Variable Format: character

Notes: UNF:6:RD/Ze980q/CIZVrKlVQzuA==

Respondento identifikacinis numeris

f1987 Location:

Summary Statistics: StDev 615.0769821530365; Mean 1063.353440150792; Valid 2122.0; Min. 1.0; Max. 2129.0

Variable Format: numeric

Notes: UNF:6:jYToCZqPoO0VV0m1iML4uA==

Respondentų skirstymas į grupes

f1987 Location:

Value

Label

Frequency

Text

2.

2 grupė

722

1.

1 grupė

713

9.

Nėra informacijos

0

3.

3 grupė

687

Summary Statistics: Max. 3.0; Min. 1.0; Mean 1.9877474081055608; Valid 2122.0; StDev 0.8123520233321071

Variable Format: numeric

Notes: UNF:6:KpiyU/OS9FZbLHO5bU/8bA==

C33|Svarbu imigruojant į Lietuvą: turėti gerą išsilavinimą

f1987 Location:

Value

Label

Frequency

Text

4.

4

36

9.

9

65

88.

Nežinau

16

66.

Neatsakinėta

1409

7.

7

102

8.

8

104

2.

2

11

0.

Visiškai nesvarbu

8

5.

5

93

1.

1

13

6.

6

83

77.

Atsisakau atsakyti

2

99.

Nėra atsakymo

0

10.

Ypatingai svarbu

153

3.

3

27

Summary Statistics: Max. 88.0; StDev 27.907296414692347; Min. 0.0; Mean 46.861451460885945; Valid 2122.0;

Variable Format: numeric

Notes: UNF:6:9WJ/65CplNjevx69CM79SQ==

C34|Svarbu imigruojant į Lietuvą: turėti krikščioniškas šaknis

f1987 Location:

Value

Label

Frequency

Text

2.

2

17

66.

Neatsakinėta

1409

3.

3

32

77.

Atsisakau atsakyti

3

9.

9

61

8.

8

100

6.

6

75

10.

Ypatingai svarbu

154

88.

Nežinau

22

5.

5

88

99.

Nėra atsakymo

0

0.

Visiškai nesvarbu

22

4.

4

39

1.

1

19

7.

7

81

Summary Statistics: StDev 28.039299665638712; Valid 2122.0; Min. 0.0; Mean 47.03675777568331; Max. 88.0;

Variable Format: numeric

Notes: UNF:6:T6T31ysStqrHUsKsRIMmcQ==

C35|Svarbu imigruojant į Lietuvą: turėti darbinių įgūdžių, kurių reikia Lietuvai

f1987 Location:

Value

Label

Frequency

Text

77.

Atsisakau atsakyti

2

99.

Nėra atsakymo

0

3.

3

11

88.

Nežinau

14

4.

4

19

66.

Neatsakinėta

1409

1.

1

5

2.

2

3

0.

Visiškai nesvarbu

9

5.

5

75

9.

9

94

7.

7

85

8.

8

128

10.

Ypatingai svarbu

215

6.

6

53

Summary Statistics: Valid 2122.0; Max. 88.0; Mean 47.034872761545714; StDev 27.543591265653255; Min. 0.0

Variable Format: numeric

Notes: UNF:6:hzwZGcXURNnCQMr340sQGQ==

C36|Svarbu imigruojant į Lietuvą: turėti gerą išsilavinimą

f1987 Location:

Value

Label

Frequency

Text

10.

Ypatingai svarbus

126

77.

Atsisakau atsakyti

2

99.

Nėra atsakymo

0

5.

5

76

9.

9

70

3.

3

23

8.

8

134

6.

6

72

88.

Nežinau

28

7.

7

123

66.

Neatsakinėta

1400

2.

2

7

0.

Visiškai nesvarbus

0

1.

1

18

4.

4

43

Summary Statistics: Min. 1.0; Valid 2122.0; Max. 88.0; Mean 47.09048067860508; StDev 27.974466600274248

Variable Format: numeric

Notes: UNF:6:eFaEsLQXGPMzi1aHqD9QtQ==

C37|Svarbu imigruojant į Lietuvą: turėti krikščioniškas šaknis

f1987 Location:

Value

Label

Frequency

Text

5.

5

91

77.

Atsisakau atsakyti

2

66.

Neatsakinėta

1400

9.

9

73

88.

Nežinau

32

3.

3

28

8.

8

116

6.

6

82

10.

Ypatingai svarbios

107

2.

2

15

7.

7

107

1.

1

26

4.

4

43

0.

Visiškai nesvarbios

0

99.

Nėra atsakymo

0

Summary Statistics: StDev 28.126749466990727; Valid 2122.0; Mean 47.14090480678606; Max. 88.0; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:rA48R+i8zAja2oECKl5CKw==

C38|Svarbu imigruojant į Lietuvą: turėti darbinių įgūdžių, kurių reikia Lietuvai

f1987 Location:

Value

Label

Frequency

Text

10.

Ypatingai svarbūs

189

2.

2

2

6.

6

75

0.

Visiškai nesvarbūs

0

4.

4

15

3.

3

10

66.

Neatsakinėta

1400

7.

7

93

9.

9

109

77.

Atsisakau atsakyti

2

5.

5

37

1.

1

9

88.

Nežinau

21

99.

Nėra atsakymo

0

8.

8

160

Summary Statistics: Max. 88.0; Mean 47.09802073515552; Valid 2122.0; StDev 27.5710869104131; Min. 1.0

Variable Format: numeric

Notes: UNF:6:IVTMQT5OMkRyXSbW3tl0dg==

C39|Svarbu imigruojant į Lietuvą: turėti gerą išsilavinimą

f1987 Location:

Value

Label

Frequency

Text

5.

Labai svarbu

237

7.

Atsisakau atsakyti

0

8.

Nežinau

26

3.

3

164

0.

Visiškai nesvarbu

17

2.

2

58

4.

4

166

9.

Nėra atsakymo

0

6.

Neatsakinėta

1435

1.

1

19

Summary Statistics: Min. 0.0; StDev 1.2885308466494543; Mean 5.322337417530631; Max. 8.0; Valid 2122.0

Variable Format: numeric

Notes: UNF:6:vLvHx9xN/gBj4mQD2LavhA==

C40|Svarbu imigruojant į Lietuvą: turėti krikščioniškas šaknis

f1987 Location:

Value

Label

Frequency

Text

2.

2

67

6.

Neatsakinėta

1435

0.

Visiškai nesvarbu

21

5.

Labai svarbu

212

7.

Atsisakau atsakyti

1

8.

Nežinau

29

3.

3

151

9.

Nėra atsakymo

0

1.

1

34

4.

4

172

Summary Statistics: Max. 8.0; Min. 0.0; StDev 1.3687759622461007; Valid 2122.0; Mean 5.286522148916116

Variable Format: numeric

Notes: UNF:6:M6onWQ4W6dD0y5AsIPlndw==

C41|Svarbu imigruojant į Lietuvą: turėti darbinių įgūdžių, kurių reikia Lietuvai

f1987 Location:

Value

Label

Frequency

Text

6.

Neatsakinėta

1435

0.

Visiškai nesvarbu

9

2.

2

24

7.

Atsisakau atsakyti

0

9.

Nėra atsakymo

0

8.

Nežinau

22

3.

3

133

5.

Labai svarbu

310

4.

4

184

1.

1

5

Summary Statistics: Max. 8.0; StDev 1.0805198694589946; Valid 2122.0; Min. 0.0; Mean 5.430725730442978;

Variable Format: numeric

Notes: UNF:6:IyHxY3K48qh7mZS4IIKCQw==

Apklausėjo kodas, I dalies administravimas

f1987 Location:

Value

Label

Frequency

Text

1.

C32 kodas1

713

3.

C32 kodas3

687

9.

Nėra informacijos

0

2.

C32 kodas2

722

Summary Statistics: Mean 1.9877474081055608; Valid 2122.0; StDev 0.8123520233321071; Max. 3.0; Min. 1.0;

Variable Format: numeric

Notes: UNF:6:KpiyU/OS9FZbLHO5bU/8bA==

C36|Svarbu imigruojant į Lietuvą: turėti gerą išsilavinimą

f1987 Location:

Value

Label

Frequency

Text

77.

Atsisakau atsakyti

2

3.

3

13

66.

Neatsakinėta

1409

4.

4

37

2.

2

7

6.

6

74

5.

5

77

1.

1

9

7.

7

134

0.

Visiškai nesvarbus

0

10.

Ypatingai svarbus

118

9.

9

78

88.

Nežinau

19

8.

8

145

99.

Nėra atsakymo

0

Summary Statistics: Min. 1.0; StDev 27.794319361929343; Max. 88.0; Mean 47.04948162111217; Valid 2122.0

Variable Format: numeric

Notes: UNF:6:fpJPy6TsnpUlTVTHeWNhMQ==

C37|Svarbu imigruojant į Lietuvą: turėti krikščioniškas šaknis

f1987 Location:

Value

Label

Frequency

Text

66.

Neatsakinėta

1409

2.

2

15

88.

Nežinau

27

10.

Ypatingai svarbios

121

7.

7

94

9.

9

83

0.

Visiškai nesvarbios

0

1.

1

15

5.

5

61

4.

4

49

99.

Nėra atsakymo

0

8.

8

135

6.

6

82

77.

Atsisakau atsakyti

2

3.

3

29

Summary Statistics: Max. 88.0; Valid 2122.0; Min. 1.0; StDev 27.901647890443236; Mean 47.287464655984934;

Variable Format: numeric

Notes: UNF:6:ok+mNyuSnycERlZIDBgu0w==

C38|Svarbu imigruojant į Lietuvą: turėti darbinių įgūdžių, kurių reikia Lietuvai

f1987 Location:

Value

Label

Frequency

Text

0.

Visiškai nesvarbūs

0

88.

Nežinau

24

66.

Neatsakinėta

1409

10.

Ypatingai svarbūs

186

99.

Nėra atsakymo

0

5.

5

36

6.

6

59

3.

3

9

2.

2

2

7.

7

101

9.

9

123

8.

8

147

4.

4

18

1.

1

6

77.

Atsisakau atsakyti

2

Summary Statistics: Valid 2122.0; Max. 88.0; StDev 27.447362238928065; Mean 47.48020735155515; Min. 1.0

Variable Format: numeric

Notes: UNF:6:K+79HOC6mpW24w3mhLoGHQ==

C39|Svarbu imigruojant į Lietuvą: turėti gerą išsilavinimą

f1987 Location:

Value

Label

Frequency

Text

4.

4

196

6.

Neatsakinėta

1400

1.

1

21

0.

Visiškai nesvarbu

10

3.

3

193

2.

2

94

5.

Labai svarbu

175

7.

Atsisakau atsakyti

3

8.

Nežinau

30

9.

Nėra atsakymo

0

Summary Statistics: Max. 8.0; Mean 5.234684260131952; Min. 0.0; StDev 1.3672824198674607; Valid 2122.0;

Variable Format: numeric

Notes: UNF:6:KsuLApDgT/2/vo1eEOFi5w==

C40|Svarbu imigruojant į Lietuvą: turėti krikščioniškas šaknis

f1987 Location:

Value

Label

Frequency

Text

5.

Labai svarbu

164

6.

Neatsakinėta

1400

1.

1

34

9.

Nėra atsakymo

0

2.

2

95

0.

Visiškai nesvarbu

20

4.

4

162

7.

Atsisakau atsakyti

3

8.

Nežinau

39

3.

3

205

Summary Statistics: Max. 8.0; Mean 5.202639019792649; StDev 1.4657596346911115; Valid 2122.0; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:UuqZB8t6SfpJauiguBm+PA==

C41|Svarbu imigruojant į Lietuvą: turėti darbinių įgūdžių, kurių reikia Lietuvai

f1987 Location:

Value

Label

Frequency

Text

1.

1

7

5.

Labai svarbu

260

3.

3

141

8.

Nežinau

31

6.

Neatsakinėta

1400

9.

Nėra atsakymo

0

4.

4

229

0.

Visiškai nesvarbu

4

2.

2

47

7.

Atsisakau atsakyti

3

Summary Statistics: Max. 8.0; Mean 5.376531573986806; Min. 0.0; StDev 1.1526881180091921; Valid 2122.0

Variable Format: numeric

Notes: UNF:6:ThjXVzI2+Zfbr3t0+/bz+A==

C33|Svarbu imigruojant į Lietuvą: turėti gerą išsilavinimą

f1987 Location:

Value

Label

Frequency

Text

77.

Atsisakau atsakyti

2

99.

Nėra atsakymo

0

6.

6

76

0.

Visiškai nesvarbu

10

66.

Neatsakinėta

1435

8.

8

101

4.

4

42

7.

7

97

9.

9

89

2.

2

17

10.

Ypatingai svarbu

124

1.

1

8

3.

3

27

88.

Nežinau

28

5.

5

66

Summary Statistics: Max. 88.0; Min. 0.0; Mean 48.036286522148934; StDev 27.630537175389332; Valid 2122.0;

Variable Format: numeric

Notes: UNF:6:E/OxYorFx4gcaZIRERcRXw==

C34|Svarbu imigruojant į Lietuvą: turėti krikščioniškas šaknis

f1987 Location:

Value

Label

Frequency

Text

1.

1

11

77.

Atsisakau atsakyti

2

66.

Neatsakinėta

1435

4.

4

43

10.

Ypatingai svarbu

127

6.

6

70

2.

2

24

0.

Visiškai nesvarbu

15

8.

8

89

99.

Nėra atsakymo

0

3.

3

27

9.

9

73

5.

5

64

88.

Nežinau

34

7.

7

108

Summary Statistics: Max. 88.0; Valid 2122.0; Mean 48.21065032987748; StDev 27.710693365216187; Min. 0.0;

Variable Format: numeric

Notes: UNF:6:wEXK6H2z2D+2T1CA93D0LQ==

C35|Svarbu imigruojant į Lietuvą: turėti darbinių įgūdžių, kurių reikia Lietuvai

f1987 Location:

Value

Label

Frequency

Text

1.

1

2

99.

Nėra atsakymo

0

5.

5

60

9.

9

107

0.

Visiškai nesvarbu

6

3.

3

14

66.

Neatsakinėta

1435

6.

6

53

8.

8

132

2.

2

7

77.

Atsisakau atsakyti

2

88.

Nežinau

29

4.

4

26

7.

7

70

10.

Ypatingai svarbu

179

Summary Statistics: Mean 48.30113100848256; Max. 88.0; Min. 0.0; Valid 2122.0; StDev 27.28561436353386;

Variable Format: numeric

Notes: UNF:6:yoqtpbfw1U3TVB3Of+oNxg==

Other Study-Related Materials

Label:

LiDA_SurveyData_0316_Archive_v1.tar.gz

Text:

Files providing previous versions of the metadata and/or data and data processing syntax files. If you would like to get access to these files, write to data@ktu.lt. = Ankstesnių metaduomenų ir (ar) duomenų versijų ir duomenų apdorojimo sintaksės failai. Jei norite gauti prieigą prie šių failų, rašykite data@ktu.lt.

Notes:

application/gzip

Other Study-Related Materials

Label:

LiDA_SurveyData_0316_Internal_documents_v1.tar.gz

Text:

LiDA internal documents related to the published dataset, to which access is not provided. = LiDA vidiniai dokumentai, susiję su publikuotu duomenų rinkiniu, prie kurių prieiga nesuteikiama.

Notes:

application/gzip

Other Study-Related Materials

Label:

LiDA_SurveyData_0316_Questionnaire_lit_v1.pdf

Text:

Questionnaire (lit). = Klausimynas (lit).

Notes:

application/pdf

Other Study-Related Materials

Label:

LiDA_SurveyData_0316_Questionnaire_rus_v1.pdf

Text:

Questionnaire (rus). = Klausimynas (rus).

Notes:

application/pdf

Other Study-Related Materials

Label:

LiDA_SurveyData_0316_Showcards_lit_v1.pdf

Text:

Showcards (lit). = Kortelės (lit).

Notes:

application/pdf

Other Study-Related Materials

Label:

LiDA_SurveyData_0316_Showcards_rus_v1.pdf

Text:

Showcards (rus). = Kortelės (rus).

Notes:

application/pdf