ESS8, Main and Supplementary Questionnaire Data, Lithuania, October - December 2017EST8, pagrindinio ir papildomo klausimyno duomenys, Lietuva, 2017 m. spalis - gruodisLiDA_SurveyData_0313Krupavičius, AlgisAlgisKrupavičiusInstitute of Public Policy and Administration, Faculty of Social Sciences, Arts and Humanities, Kaunas University of Technology, Lithuania [Project Leader]0000-0001-6919-6580Butkevičienė, EglėEglėButkevičienėInstitute of Public Policy and Administration, Faculty of Social Sciences, Arts and Humanities, Kaunas University of Technology, Lithuania [Project Member]0000-0002-5631-360XMorkevičius, VaidasVaidasMorkevičiusInstitute 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]0000-0002-2174-0396Šarkutė, LigitaLigitaŠarkutėInstitute of Public Policy and Administration, Faculty of Social Sciences, Arts and Humanities, Kaunas University of Technology, Lithuania [Project Member]0000-0002-1835-0186Žvaliauskas, GiedriusGiedriusŽvaliauskasInstitute of Public Policy and Administration, Faculty of Social Sciences, Arts and Humanities, Kaunas University of Technology, Lithuania [Project Member; Data curation]0000-0001-8970-0756Center for Data Analysis and Archiving (DAtA)Faculty of Social Sciences, Arts and Humanities, Kaunas University of Technology, LithuaniaFitzgerald, Rory (Core Scientific Team: ESS ERIC Headquarters at City University London, United Kingdom [Principal Investigator and Director] [ORCID: 0000-0002-2126-5564])Rory (Core Scientific Team: ESS ERIC Headquarters at City University London, United Kingdom [Principal Investigator and Director] [ORCID: 0000-0002-2126-5564])FitzgeraldHarrison, Eric (Core Scientific Team: ESS ERIC Headquarters at City University London, United Kingdom [ORCID: 0000-0002-4332-7025])Eric (Core Scientific Team: ESS ERIC Headquarters at City University London, United Kingdom [ORCID: 0000-0002-4332-7025])HarrisonWinstone, Lizzy (Core Scientific Team: ESS ERIC Headquarters at City University London, United Kingdom [ORCID: 0000-0002-5547-6087])Lizzy (Core Scientific Team: ESS ERIC Headquarters at City University London, United Kingdom [ORCID: 0000-0002-5547-6087])WinstoneVillar, Ana (Core Scientific Team: ESS ERIC Headquarters at City University London, United Kingdom)Ana (Core Scientific Team: ESS ERIC Headquarters at City University London, United Kingdom)VillarRyan, Lorna (Core Scientific Team: ESS ERIC Headquarters at City University London, United Kingdom)Lorna (Core Scientific Team: ESS ERIC Headquarters at City University London, United Kingdom)RyanButt, Sarah (Core Scientific Team: ESS ERIC Headquarters at City University London, United Kingdom [ORCID: 0000-0002-0307-8925])Sarah (Core Scientific Team: ESS ERIC Headquarters at City University London, United Kingdom [ORCID: 0000-0002-0307-8925])ButtDouhou, Salima (Core Scientific Team: ESS ERIC Headquarters at City University London, United Kingdom)Salima (Core Scientific Team: ESS ERIC Headquarters at City University London, United Kingdom)DouhouLooseveldt, Geert (Core Scientific Team: Katholieke Universiteit Leuven, Kingdom of Belgium)Geert (Core Scientific Team: Katholieke Universiteit Leuven, Kingdom of Belgium)LooseveldtSommer, Elena (Core Scientific Team: ESS ERIC Headquarters at City University London, United Kingdom)Elena (Core Scientific Team: ESS ERIC Headquarters at City University London, United Kingdom)SommerSalini, Luca (Core Scientific Team: ESS ERIC Headquarters at City University London, United Kingdom)Luca (Core Scientific Team: ESS ERIC Headquarters at City University London, United Kingdom)SaliniRos, Virginia (Core Scientific Team: ESS ERIC Headquarters at City University London, United Kingdom)Virginia (Core Scientific Team: ESS ERIC Headquarters at City University London, United Kingdom)RosHenrichsen, Bjørn (Core Scientific Team: Norwegian Centre for Research Data, Kingdome of Norway)Bjørn (Core Scientific Team: Norwegian Centre for Research Data, Kingdome of Norway)HenrichsenDenies, Katrijn (Core Scientific Team: Katholieke Universiteit Leuven, Kingdom of Belgium [ORCID: 0000-0003-2180-5935])Katrijn (Core Scientific Team: Katholieke Universiteit Leuven, Kingdom of Belgium [ORCID: 0000-0003-2180-5935])DeniesBeullens, Koen (Core Scientific Team: Katholieke Universiteit Leuven, Kingdom of Belgium)Koen (Core Scientific Team: Katholieke Universiteit Leuven, Kingdom of Belgium)BeullensKoch, Achim (Core Scientific Team: Leibniz Institute for the Social Sciences, Federal Republic of Germany)Achim (Core Scientific Team: Leibniz Institute for the Social Sciences, Federal Republic of Germany)KochSkjåk, Knut Kalgraff (Core Scientific Team: Norwegian Centre for Research Data, Kingdome of Norway)Knut Kalgraff (Core Scientific Team: Norwegian Centre for Research Data, Kingdome of Norway)SkjåkScheuer, Angelika (Core Scientific Team: Leibniz Institute for the Social Sciences, Federal Republic of Germany)Angelika (Core Scientific Team: Leibniz Institute for the Social Sciences, Federal Republic of Germany)ScheuerKolsrud, Kirstine (Core Scientific Team: Norwegian Centre for Research Data, Kingdome of Norway)Kirstine (Core Scientific Team: Norwegian Centre for Research Data, Kingdome of Norway)KolsrudRojas, Diana Zavala (Core Scientific Team: Universitat Pompeu Fabra, Kingdome of Spain [ORCID: 0000-0003-4603-7434])Diana Zavala (Core Scientific Team: Universitat Pompeu Fabra, Kingdome of Spain [ORCID: 0000-0003-4603-7434])RojasWeber, Wiebke (Core Scientific Team: Universitat Pompeu Fabra, Kingdome of Spain [ORCID: 0000-0002-6754-1392])Wiebke (Core Scientific Team: Universitat Pompeu Fabra, Kingdome of Spain [ORCID: 0000-0002-6754-1392])WeberHalbherr, Verena (Core Scientific Team: Leibniz Institute for the Social Sciences, Federal Republic of Germany [ORCID: 0000-0001-7995-1738])Verena (Core Scientific Team: Leibniz Institute for the Social Sciences, Federal Republic of Germany [ORCID: 0000-0001-7995-1738])Halbherrde Castellarnau, Anna (Core Scientific Team: Universitat Pompeu Fabra, Kingdome of Spain)Anna (Core Scientific Team: Universitat Pompeu Fabra, Kingdome of Spain)de CastellarnauZins, 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])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])ZinsRevilla, Melanie (Core Scientific Team: Universitat Pompeu Fabra, Kingdome of Spain [ORCID: 0000-0002-8026-8319])Melanie (Core Scientific Team: Universitat Pompeu Fabra, Kingdome of Spain [ORCID: 0000-0002-8026-8319])RevillaDorer, Brita (Core Scientific Team: Leibniz Institute for the Social Sciences, Federal Republic of Germany [ORCID: 0000-0001-7916-2296])Brita (Core Scientific Team: Leibniz Institute for the Social Sciences, Federal Republic of Germany [ORCID: 0000-0001-7916-2296])DorerBriceno-Rosas, Roberto (Core Scientific Team: Universitat Pompeu Fabra, Kingdome of Spain [ORCID: 0009-0009-0287-2463])Roberto (Core Scientific Team: Universitat Pompeu Fabra, Kingdome of Spain [ORCID: 0009-0009-0287-2463])Briceno-RosasStoop, Ineke (Core Scientific Team: The Netherlands Institute for Social Research, Kingdom of the Netherlands)Ineke (Core Scientific Team: The Netherlands Institute for Social Research, Kingdom of the Netherlands)StoopBreen, Michael (The ESS ERIC General Assembly [Chair] [ORCID: 0000-0002-5019-0901])Michael (The ESS ERIC General Assembly [Chair] [ORCID: 0000-0002-5019-0901])BreenLynn, Peter (Core Scientific Team: University of Essex, United Kingdom; The Sampling and Weighting Expert Panel [Chair since June 2017]) [ORCID: 0000-0002-3493-5686])Peter (Core Scientific Team: University of Essex, United Kingdom; The Sampling and Weighting Expert Panel [Chair since June 2017]) [ORCID: 0000-0002-3493-5686])LynnSteijn, Sander (Core Scientific Team: The Netherlands Institute for Social Research, Kingdom of the Netherlands)Sander (Core Scientific Team: The Netherlands Institute for Social Research, Kingdom of the Netherlands)SteijnKappelhof, Joost (Core Scientific Team: The Netherlands Institute for Social Research, Kingdom of the Netherlands)Joost (Core Scientific Team: The Netherlands Institute for Social Research, Kingdom of the Netherlands)KappelhofMalnar, Brina (Core Scientific Team: University of Ljubljana, Republic of Slovenia)Brina (Core Scientific Team: University of Ljubljana, Republic of Slovenia)MalnarScott, Jacqueline (The Scientific Advisory Board [Chair])Jacqueline (The Scientific Advisory Board [Chair])ScottDorer, Brita (The Translation Expert Group [Chair] [ORCID: 0000-0001-7916-2296])Brita (The Translation Expert Group [Chair] [ORCID: 0000-0001-7916-2296])Dorervan Oorschot, Wim (ESS Round 8 Questionnaire Design Team on "Welfare attitudes" [Chair])Wim (ESS Round 8 Questionnaire Design Team on "Welfare attitudes" [Chair])van OorschotSchneider, Silke (Core Scientific Team: Leibniz Institute for the Social Sciences, Federal Republic of Germany [Expert on international education classification] [ORCID: 0000-0001-5531-5040])Silke (Core Scientific Team: Leibniz Institute for the Social Sciences, Federal Republic of Germany [Expert on international education classification] [ORCID: 0000-0001-5531-5040])SchneiderLyberg, Lars (The ESS ERIC Research Ethics Committee [Chair]; The Sampling Expert Panel [Chair until May 2017])Lars (The ESS ERIC Research Ethics Committee [Chair]; The Sampling Expert Panel [Chair until May 2017])LybergKuyper, Lisette ([Expert for the new core items included in Round 8])Lisette ([Expert for the new core items included in Round 8])KuyperBanducci, Susan ([Expert for the new core items included in Round 8] [ORCID: 0000-0002-1874-5110])Susan ([Expert for the new core items included in Round 8] [ORCID: 0000-0002-1874-5110])BanducciPoortinga, Wouter (ESS Round 8 Questionnaire Design Team on "Attitudes to climate change, energy security, and energy preferences" [Chair] [ORCID: 0000-0002-6926-8545])Wouter (ESS Round 8 Questionnaire Design Team on "Attitudes to climate change, energy security, and energy preferences" [Chair] [ORCID: 0000-0002-6926-8545])PoortingaVogel, Joachim ([Expert of papers on topics for the core questionnaire])Joachim ([Expert of papers on topics for the core questionnaire])VogelCurtice, John ([Expert of papers on topics for the core questionnaire])John ([Expert of papers on topics for the core questionnaire])CurticeStevens, Daniel ([Expert for the new core items included in Round 8])Daniel ([Expert for the new core items included in Round 8])StevensSchwartz, Shalom ([Expert of papers on topics for the core questionnaire])Shalom ([Expert of papers on topics for the core questionnaire])SchwartzNewton, Ken ([Expert of papers on topics for the core questionnaire])Ken ([Expert of papers on topics for the core questionnaire])NewtonThomassen, Jacques ([Expert of papers on topics for the core questionnaire])Jacques ([Expert of papers on topics for the core questionnaire])ThomassenKuhn, Theresa (Expert for the new core items included in Round 8 [ORCID: 0000-0001-8784-1731])Theresa (Expert for the new core items included in Round 8 [ORCID: 0000-0001-8784-1731])KuhnGibson, Rachel ([Expert for the new core items included in Round 8])Rachel ([Expert for the new core items included in Round 8])GibsonCantioch, Marta ([Expert for the new core items included in Round 8])Marta ([Expert for the new core items included in Round 8])CantiochJonsson, Jan O. ([Expert of papers on topics for the core questionnaire] [ORCID: 0000-0003-0410-7166])Jan O. ([Expert of papers on topics for the core questionnaire] [ORCID: 0000-0003-0410-7166])JonssonEriksson, Robert ([Expert of papers on topics for the core questionnaire])Robert ([Expert of papers on topics for the core questionnaire])ErikssonLithuanian Data Archive for Social Sciences and HumanitiesCenter for Data Analysis and Archiving (DAtA), Faculty of Social Sciences, Arts and Humanities, Kaunas University of Technology, LithuaniaLiDAhttps://lida.dataverse.ltMorkevičius, Vaidas (Institute of Public Policy and Administration, Faculty of Social Sciences, Arts and Humanities, Kaunas University of Technology, Lithuania [ORCID: 0000-0002-2174-0396])Abstract: This dataset contains data from the main and supplementary questionnaires of the European Social Survey Wave 8 in Lithuania. The dataset was compiled by the survey's conducting organisation, Baltijos tyrimai UAB, and organised by the EVS National Coordinator in Lithuania and the Lithuanian HSM Data Archive (LiDA). The European Social Survey (ESS) is a multi-country survey initiated by researchers, which has already been conducted in more than 30 different European countries. There are three main objectives of the survey: To capture and interpret the changing attitudes and values of European societies and to observe how they interact with the changing European institutions; To develop and improve advanced methods for conducting cross-cultural surveys in Europe and around the globe; To develop a collection of European social indicators, including attitudinal indicators. The eighth wave of the survey was carried out in 23 countries using highly rigorous survey methodologies. The survey was funded by the national authorities in each individual country conducting the fieldwork. It was carried out using purely random probability sampling principles, aiming for 70% reversibility and using strictly defined protocols for the translation of surveys. In a one-hour face-to-face interview, respondents answered regular questions from the main survey, which are repeated in each wave, as well as questions prepared by different research teams for each wave. Wave 8 includes two alternating blocks of questions on "Attitudes towards climate change, energy security and energy priorities" and "Attitudes towards social well-being". In the end, respondents answered a supplementary survey covering the human values block. This dataset was created using version 2.0 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.Santrauka: Šiame duomenų rinkinyje pateikiami Europos socialinio tyrimo 8 bangos vykdytos Lietuvoje pagrindinio ir papildomo klausimyno duomenys. Duomenų rinkinį sudarė tyrimą vykdžiusi organizacija UAB „Baltijos tyrimai“, o jį sutvarkė EST Nacionalinis koordinatorius Lietuvoje ir Lietuvos HSM duomenų archyvo (LiDA) darbuotojai. Europos socialinis tyrimas (EST) yra mokslininkų inicijuota daugelį šalių apimanti apklausa, jau atlikta daugiau nei trisdešimtyje skirtingų Europos šalių. Pagrindiniai tyrimo tikslai yra trys: fiksuoti ir interpretuoti besikeičiančias Europos visuomenių nuostatas ir vertybes bei stebėti, kaip jos sąveikauja su kintančiomis Europos institucijomis, kurti ir tobulinti pažangius tarpkultūrinių apklausų atlikimo metodus Europoje ir pasaulyje, sukurti Europos socialinių indikatorių kolekciją, apimančią nuostatų rodiklius. Aštuntoji tyrimo banga vykdyta 23 šalyse taikant itin griežtas apklausų atlikimo metodikas. Tyrimą finansavo nacionalinės institucijos kiekvienoje atskiroje šalyje, atliekančioje lauko tyrimą. Jis vykdytas laikantis tik atsitiktinių tikimybinių atrankos sudarymo principų, siekiant 70 % grįžtamumo ir naudojant griežtai apibrėžtus klausimynų vertimo protokolus. Valandos trukmės tiesioginiame interviu respondentai atsakinėjo į nuolatinius pagrindinio klausimyno klausimus, kurie kartojami kiekvienoje bangoje, o taip pat į klausimus, kuriuos kiekvienai bangai paruošia skirtingos mokslininkų grupės. Aštuntoje bangoje įtraukti du kintantys klausimų blokai „Požiūriai į klimato kaitą, energetinį saugumą ir energijos prioritetai“ ir „Požiūriai į socialinę gerovę“. Pabaigoje respondentai atsakė į papildomo klausimyno klausimus, kurie apima žmogiškųjų vertybių bloką. Šiam duomenų rinkiniui sukurti naudota EST 8-oje bangoje dalyvavusių šalių jungtinio duomenų failo 2.0 versija (Lietuvos duomenys) publikuota EST Duomenų archyve 2018-05-30.General notes: The main language of the study is Lithuanian (lit). Standardized questionnaire was provided for the respondents in Lithuanian (lit) and Russian (rus). Dataset (data and metadata) “ESS8, Main and Supplementary Questionnaire Data, Lithuania, October - December 2017” from 2018-06-15 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_0308; produced by Morkevičius, Vaidas ir Žvaliauskas, Giedrius 2018-06-15.Bendros pastabos: Pagrindinė tyrimo kalba – lietuvių kalba (lit). Standartizuotas klausimynas respondentams buvo pateikiamas lietuvių (lit) ir rusų (rus) kalba. Duomenų rinkinys (duomenys ir metaduomenys) „ESS8, pagrindinio ir papildomo klausimyno duomenys, Lietuva, 2017 m. spalis - gruodis“ nuo 2018-06-15 iki 2021-10-01 buvo pasiekiamas Lietuvos humanitarinių ir socialinių mokslų duomenų archyvo (LiDA) portale www.lidata.eu; objekto PID: www.lidata.eu/data/quant/LiDA_ESS_0308; parengė 2018-06-15 Morkevičius, Vaidas ir Žvaliauskas, Giedrius.Time Period Covered: Start: 2017-10-04Tyrimo laikotarpis: Pradžia: 2017-10-04Time Period Covered: End: 2017-12-28Tyrimo laikotarpis: Pabaiga: 2017-12-28Date of Collection: Start: 2017-10-04Duomenų rinkimo laikotarpis: Pradžia: 2017-10-04Date of Collection: End: 2017-12-28Duomenų rinkimo laikotarpis: Pabaiga: 2017-12-28Series Name: European Social SurveySeries Information: Dataverse collection "European Social Survey" contains survey data of the European Social Survey (ESS) conducted in Lithuania from 2009 (Round 4). 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.Serijos pavadinimas: Europos socialinis tyrimasSerijos aprašas: Dataverse kolekcijoje "Europos socialinis tyrimas" talpinami nuo 2009 m. (4-osios bangos) Lietuvoje vykdomų Europos socialinio tyrimo (EST) apklausų duomenys. EST yra mokslininkų inicijuotas tarptautinis tyrimas, kuris nuo jo įkūrimo 2001 m. atliekamas visoje Europoje. Kas dvejus metus sudarant naujas skerspjūvio imtis, atliekami tiesioginiai interviu. Apklausos metu vertinamos įvairių gyventojų grupių nuostatos, įsitikinimai ir elgsenos modeliai daugiau nei trisdešimtyje šalių.Geographic Coverage: LithuaniaGeografinė aprėptis: LithuaniaGeographic Unit: Panevėžys CountyGeographic Unit: Vilnius CountyGeographic Unit: Klaipėda CountyGeographic Unit: Kaunas CountyGeographic Unit: Šiauliai CountyGeographic Unit: Tauragė CountyGeographic Unit: Utena CountyGeographic Unit: Alytus CountyGeographic Unit: Telšiai CountyGeographic Unit: Marijampolė CountyTeritorinis vienetas: Panevėžio apskritisTeritorinis vienetas: Vilniaus apskritisTeritorinis vienetas: Klaipėdos apskritisTeritorinis vienetas: Kauno apskritisTeritorinis vienetas: Šiaulių apskritisTeritorinis vienetas: Tauragės apskritisTeritorinis vienetas: Utenos apskritisTeritorinis vienetas: Alytaus apskritisTeritorinis vienetas: Telšių apskritisTeritorinis vienetas: Marijampolės apskritisUnit of Analysis: Individual (DDI Alliance Controlled Vocabulary for AnalysisUnit)Analizės vienetas: Asmuo (DDI aljanso AnalysisUnit kontroliuojamas žodynas)Universe: All persons aged 15 and over resident within private households in Lithuania.Populiacija: Lietuvos namų ūkių gyventojai nuo 15 metų ir vyresni.Time Method: Longitudinal: Trend/Repeated cross-section (Alliance Controlled Vocabulary for TimeMethod)Laiko metodas: Longitudinis: tendencijų arba kartotinis skerspjūvių (DDI aljanso TimeMethod kontroliuojamas žodynas DDI)Data collector: UAB "Baltijos tyrimai"Duomenų rinkėjai: UAB "Baltijos tyrimai"Sampling Procedure: Probability: Multistage (DDI Alliance Controlled Vocabulary for SamplingProcedure) Sampling frame: The Address register of the Republic of Lithuania. A version updated in October 2016 was used. Sampling Design: 2-domain design. 1stSampling Domain: 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). Sampling Design: 3-stage design: 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. 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. At the third stage, one person is selected from each sampled household using the last birthday method. 2ndSampling Domain: The rest of settlements that include small towns and villages. Sampling Design: 4-stage design: 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. At the second stage 8 addresses are selected from each sampled Eldership by a simple random sample. 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. At the fourth stage, one person is selected from each sampled household using the last birthday method.Atrankos dizainas: Tikimybinė: daugiapakopė (DDI aljanso SamplingProcedure kontroliuojamas žodynas) Imties pagrindas: Lietuvos Respublikos adresų registras. Naudojama versija buvo atnaujinta 2016-tųjų spalį. Atrankos modelisdviejų sričių modelis. 1-moji atrankos sritis: 54 gyvenvietės (7 didžiausi miestai ir kiti miesteliai, įskaitant priemiesčius), kuriose iš viso gyvena 5 000 ar daugiau gyventojų (t. y. 65,11 proc. 15 metų ir vyresnių gyventojų). Atrankos modelis: trijų etapų modelis: Pirmajame etape adresatai atrenkami taikant sluoksninę atranką. Stratifikacija grindžiama 7 didžiausiais miestais, kuriuose gyvena daugiau kaip 40 000 gyventojų, ir 10 Lietuvos apskričių. Atranka sluoksniuose vykdoma paprastosios atsitiktinės atrankos būdu. Antrajame etape, naudojantis Kišo tinkleliu, iš kiekvieno atrinkto adreso atrenkamas vienas namų ūkis su vienoda tikimybe. Praktikoje to prireikė tik su vienu atrinktu adresu. Trečiajame etape, taikant paskutinio gimtadienio metodą, iš kiekvieno atrinkto namų ūkio atrenkama po vieną asmenį. 2-oji atrankos sritis: likusios gyvenvietės, apimančios mažus miestelius ir kaimus. Atrankos modelis: keturių etapų modelis: . Pirmajame etape 167 seniūnijos, mažiausi vietiniai administraciniai vienetai (LAU2 - Eurostat, kuriuose yra susipažinta su 15 metų ir vyresnių gyventojų populiacija) atrenkami sluoksnine imtimi. Stratifikacija grindžiama apskritimis. Atranka sluoksniuose vykdoma su tikimybe, proporcinga seniūnijų gyventojų, kuriems 15 metų ir daugiau skaičiui. . Antrajame etape iš kiekvienos seniūnijos paprastąja atsitiktine imtimi atrenkami 8 adresai. Trečiajame etape , naudojantis Kišo tinkleliu, iš kiekvieno atrinkto adreso atrenkamas vienas namų ūkis su vienoda tikimybe. Praktikoje to prireikė tik su vienu atrinktu adresu. Ketvirtajame etape, taikant paskutinio gimtadienio metodą, iš kiekvieno atrinkto namų ūkio atrenkama po vieną asmenį.Collection Mode: Self-administered questionnaire: Paper; Face-to-face interview: Paper-and-pencil (PAPI) (DDI Alliance Controlled Vocabulary for ModeOfCollection)Duomenų rinkimo būdas: Tiesioginis interviu: interviu popieriumi ir pieštuku (PAPI); Savipildos klausimynas: popieriuje (DDI aljanso ModeOfCollection kontroliuojamas žodynas)Type of Research Instrument: Structured questionnaire (DDI Alliance Controlled Vocabulary for TypeOfInstrument)Tyrimo instrumento tipas: Struktūruotas klausimynas (DDI aljanso TypeOfInstrument kontroliuojamas žodynas)Weighting: Design weights: The purpose of the design weights (DWEIGHT) is to correct for unequal probabilities for selection due to the sampling design used. In general design weights were computed for each country as follows. 1.w = 1/(PROB1*...*PROBk) is a nx1 vector of weights ; k depends on the number of stages of the sampling design. 2. All weights were rescaled in a way that the sum of the final weights equals n, i.e. Rescaled weights = n*w/sum(w). Post-stratification weights: The purpose of the post-stratified design weights (PSPWGHT) is to reduce sampling error and non-response bias, using auxiliary information. The post-stratification targets use information about age, gender, education and region. Raking (iterative proportional fitting) has been used in the production of the post-stratified weights, using the ipfweight procedure in Stata v15. For most countries population targets are weighted estimates from the European Union labour force survey 2016 (Eurostat). Population size weights: The Population size weight (PWEIGHT) corrects for population size when combining two or more country's data, and is calculated as PWEIGHT=[Population aged 15 years and over]/[(Net sample in data file)*10 000]Svėrimas: Design weights: The purpose of the design weights (DWEIGHT) is to correct for unequal probabilities for selection due to the sampling design used. In general design weights were computed for each country as follows. 1.w = 1/(PROB1*...*PROBk) is a nx1 vector of weights ; k depends on the number of stages of the sampling design. 2. All weights were rescaled in a way that the sum of the final weights equals n, i.e. Rescaled weights = n*w/sum(w). Post-stratification weights: The purpose of the post-stratified design weights (PSPWGHT) is to reduce sampling error and non-response bias, using auxiliary information. The post-stratification targets use information about age, gender, education and region. Raking (iterative proportional fitting) has been used in the production of the post-stratified weights, using the ipfweight procedure in Stata v15. For most countries population targets are weighted estimates from the European Union labour force survey 2016 (Eurostat). Population size weights: The Population size weight (PWEIGHT) corrects for population size when combining two or more country's data, and is calculated as PWEIGHT=[Population aged 15 years and over]/[(Net sample in data file)*10 000]Cleaning Operations: The organisation carrying out the survey 100% physically checked the logic and completion of the questionnaire. They also carried out the verification of the data.Duomenų valymo procedūros: Tyrimą vykdžiusi organizacija 100 proc. fiziškai patikrino klausimyno logiką ir pildymą. Tyrimą vykdžiusi organizacija atliko ir duomenų tikrinimą.Response Rate: 64.03%Atsakiusųjų procentas: 64.03%trustpoliticssocial valuessocial exclusiondiscriminationclimate changeimmigrationreligionenergynational identitysocial welfarewelfare policypasitikėjimaspolitikasocialinės vertybėssocialinė atskirtisdiskriminacijaklimato pokyčiaiimigracijareligijaenergijanacionalinė tapatybėsocialinė gerovėgerovės politikaSocial behaviour and attitudesMediaPolitical behaviour and attitudesEnergy and natural resourcesEquality, inequality and social exclusionSocial welfare policy and systemsEnvironment and conservationReligion and valuesMigrationGeneral health and well-beingSocial conditions and indicatorsInformation societyCultural and national identityPolitical ideologyMinoritiesLanguage and linguisticsGender and gender rolesSocialinė elgsena ir nuostatosŽiniasklaidaPolitinė elgsena ir nuostatosEnergija ir gamtiniai ištekliaiLygybė, nelygybė ir socialinė atskirtisSocialinės gerovės politika ir sistemosAplinka ir gamtos išsaugojimasReligija ir vertybėsMigracijaBendra sveikata ir savijautaSocialinės sąlygos ir rodikliaiInformacinė visuomenėKultūrinė ir nacionalinė tapatybėPolitinės ideologijosMažumosKalba ir lingvistikaLytis ir lyčių vaidmenysenglit2017-12-282018-06-152018-06-15Kaunas, LithuaniaVilnius, LithuaniaResearch Council of Lithuania and Ministry of Education and Science (Membership plan for European Research Infrastructure ESS ERIC [European Social Survey])MTI01/14survey datahttps://hdl.handle.net/21.12137/PO9X1Wopen accessLithuanian Data Archive for SSH (LiDA)4.2