<codeBook xmlns="ddi:codebook:2_5" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="ddi:codebook:2_5 https://ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/codebook.xsd" version="2.5"><docDscr><citation><titlStmt><titl>Human Rights in Lithuania, November 2006</titl><IDNo agency="handle">hdl:21.12137/9IX9E6</IDNo></titlStmt><distStmt><distrbtr source="archive">Lithuanian Data Archive for SSH (LiDA)</distrbtr><distDate>2025-12-23</distDate></distStmt><verStmt source="archive"><version date="2025-12-23" type="RELEASED">1</version></verStmt><biblCit>Human Rights Monitoring Institute, 2025, "Human Rights in Lithuania, November 2006", https://hdl.handle.net/21.12137/9IX9E6, Lithuanian Data Archive for SSH (LiDA), V1, UNF:6:w7QKXqrPb2U4NsbBlRbGwA== [fileUNF]</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>Human Rights in Lithuania, November 2006</titl><IDNo agency="handle">hdl:21.12137/9IX9E6</IDNo><IDNo agency="Lithuanian Data Archive for Social Sciences and Humanities (LiDA)">LiDA_SurveyData_0474</IDNo></titlStmt><rspStmt><AuthEnty affiliation="LT: Lithuania">Human Rights Monitoring Institute</AuthEnty><othId role="Data Curator">Žvaliauskas, Giedrius (Institute of Public Policy and Administration, Kaunas University of Technology, Lithuania [ORCID: 0000-0001-8970-0756])</othId><othId role="Data Curator">Burbienė, Diana (Center for Data Analysis and Archiving (DAtA), Faculty of Social Sciences, Arts and Humanities, Kaunas University of Technology, Lithuania [ORCID: 0000-0002-8435-090X])</othId></rspStmt><prodStmt><prodDate>2006-11-12</prodDate><prodPlac>Vilnius, Lithuania</prodPlac><software version="29">SPSS</software></prodStmt><distStmt><distrbtr source="archive">Lithuanian Data Archive for SSH (LiDA)</distrbtr><distrbtr affiliation="Center for Data Analysis and Archiving (DAtA), Faculty of Social Sciences, Arts and Humanities, Kaunas University of Technology, Lithuania" abbr="LiDA" URI="https://lida.dataverse.lt">Lithuanian Data Archive for Social Sciences and Humanities</distrbtr><contact affiliation="Faculty of Social Sciences, Arts and Humanities, Kaunas University of Technology, Lithuania">Center for Data Analysis and Archiving (DAtA)</contact><depositr>Gaidys, Vladas (UAB "Vilmorus", Lithuania)</depositr><depDate>2011-03-08</depDate><distDate>2011-07-01</distDate></distStmt><serStmt><serName>Survey Data > Human Rights</serName><serInfo>The series "Survey Data > Human Rights" contains survey data that allow to study Lithuanian public opinion about the state of the human rights protection system, the ways in which people defend their rights when violated, and their evaluations of the effectiveness of institutions protecting human rights.</serInfo></serStmt><holdings URI="https://hdl.handle.net/21.12137/9IX9E6"/></citation><stdyInfo><subject><keyword xml:lang="en">Social Sciences</keyword><keyword vocab="ELSST" vocabURI="https://elsst.cessda.eu">age discrimination</keyword><keyword vocab="ELSST" vocabURI="https://elsst.cessda.eu">civil and political rights</keyword><keyword vocab="ELSST" vocabURI="https://elsst.cessda.eu">court officials and personnel</keyword><keyword vocab="ELSST" vocabURI="https://elsst.cessda.eu">courts</keyword><keyword vocab="ELSST" vocabURI="https://elsst.cessda.eu">disability discrimination</keyword><keyword vocab="ELSST" vocabURI="https://elsst.cessda.eu">discrimination on the basis of sexual orientation</keyword><keyword vocab="ELSST" vocabURI="https://elsst.cessda.eu">freedom of speech</keyword><keyword vocab="ELSST" vocabURI="https://elsst.cessda.eu">gender discrimination</keyword><keyword vocab="ELSST" vocabURI="https://elsst.cessda.eu">health care facilities</keyword><keyword vocab="ELSST" vocabURI="https://elsst.cessda.eu">human rights violations</keyword><keyword vocab="ELSST" vocabURI="https://elsst.cessda.eu">legislature</keyword><keyword vocab="ELSST" vocabURI="https://elsst.cessda.eu">nationality discrimination</keyword><keyword vocab="ELSST" vocabURI="https://elsst.cessda.eu">personal safety</keyword><keyword vocab="ELSST" vocabURI="https://elsst.cessda.eu">police services</keyword><keyword vocab="ELSST" vocabURI="https://elsst.cessda.eu">prosecution service</keyword><keyword vocab="ELSST" vocabURI="https://elsst.cessda.eu">right to justice</keyword><keyword vocab="ELSST" vocabURI="https://elsst.cessda.eu">right to privacy</keyword><keyword vocab="ELSST" vocabURI="https://elsst.cessda.eu">right to property</keyword><topcClas vocab="CESSDA CV for CESSDA Topic Classification" vocabURI="https://vocabularies.cessda.eu/vocabulary/TopicClassification?code=SocialStratificationAndGroupingsEqualityInequalityAndSocialExclusion">Equality, inequality and social exclusion</topcClas><topcClas vocab="CESSDA CV for CESSDA Topic Classification" vocabURI="https://vocabularies.cessda.eu/vocabulary/TopicClassification?code=LawCrimeAndLegalSystemsLegislationAndLegalSystems">Legislation and legal systems</topcClas></subject><abstract>&lt;b>&lt;i>
The purpose of the study&lt;/i>&lt;/b>: 
to analyze the Lithuanian system for the protection of human rights, identify how people protect violated (abused) rights and how they assess effectiveness of various institutions assuring the human rights. 
&lt;br>&lt;b>&lt;i>Major investigated questions&lt;/i>&lt;/b>: 
respondents were asked whether the information about human rights is sufficient and whether they know where to appeal if human rights are violated. They were also asked whether they experienced the violation of human rights by themselves during recent years and whether they appealed because of violation of human rights. Those respondents, who did not appeal, were asked why did not appeal, and those who appealed, were asked where they tried to defend their violated rights. Respondents were asked who determines whether a person is guilty for doing a crime and to identify which certain actions violate human rights. It was also examined what social group is discriminated in Lithuania the most. Respondents were asked what human rights are mostly violated and what institutions mostly violate the human rights.
&lt;br>&lt;b>&lt;i>Socio-demographic characteristics&lt;/i>&lt;/b>: 
gender, age, education, occupation, nationality, monthly family income per one family member, place of residence, region.</abstract><sumDscr><timePrd cycle="P1" event="start" date="2006-11-09">2006-11-09</timePrd><timePrd cycle="P1" event="end" date="2006-11-12">2006-11-12</timePrd><collDate cycle="P1" event="start" date="2006-11-09">2006-11-09</collDate><collDate cycle="P1" event="end" date="2006-11-12">2006-11-12</collDate><nation>Lithuania</nation><geogUnit>Alytus County</geogUnit><geogUnit>Kaunas County</geogUnit><geogUnit>Klaipėda County</geogUnit><geogUnit>Marijampolė County</geogUnit><geogUnit>Panevėžys County</geogUnit><geogUnit>Šiauliai County</geogUnit><geogUnit>Tauragė County</geogUnit><geogUnit>Telšiai County</geogUnit><geogUnit>Utena County</geogUnit><geogUnit>Vilnius County</geogUnit><anlyUnit>&lt;a href="https://vocabularies.cessda.eu/vocabulary/AnalysisUnit?code=Individual&amp;lang=en" target="_blank">Individual&lt;/a> (DDI Alliance CV for Analysis Unit)</anlyUnit><universe>All persons aged 18 and over resident within private households in Lithuania.
Gal bus atvejų, kai nuo 16 metų</universe><dataKind>Survey data</dataKind></sumDscr><notes>&lt;p>
The main language of the study is Lithuanian (lit).
&lt;/p>
&lt;p>
Standardized questionnaire was provided for the respondents in Lithuanian (lit).
&lt;/p>
&lt;p>
Dataset (data and metadata) “Human Rights in Lithuania, December 2004” from 2011-07-01 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_ZTLT_0207; produced by Žvaliauskas, Giedrius (2011-07-01).&lt;/p></notes></stdyInfo><method><dataColl><timeMeth>&lt;a href="https://vocabularies.cessda.eu/vocabulary/TimeMethod?code=CrossSection&amp;lang=en" target="_blank">Cross-section&lt;/a> (DDI Alliance CV for Time Method)</timeMeth><dataCollector>UAB "Vilmorus"</dataCollector><frequenc>&lt;a href="https://vocabularies.cessda.eu/vocabulary/TypeOfFrequency?code=NotApplicable&amp;lang=en" target="_blank">Not applicable&lt;/a> (DDI Alliance CV for Type of Frequency)</frequenc><sampProc>&lt;p>
&lt;a href="https://vocabularies.cessda.eu/vocabulary/SamplingProcedure?code=MixedProbabilityNonprobability&amp;lang=en" target="_blank">Mixed probability and non-probability&lt;/a> (DDI Alliance CV for Sampling Procedure)
&lt;/p>
&lt;p>
&lt;b>Description of Sampling Procedure&lt;/b>
&lt;/p>
&lt;p>
&lt;b>- Sampling type&lt;/b>: complex mixed sampling from two domains.
&lt;/p>
&lt;p>
&lt;b>- Domains&lt;/b>:
&lt;ul>
&lt;li>The domains were territorially based: 1) county capitals and other cities/towns, 2) rural areas. County capitals and other cities/towns cover 68% of the population, while rural areas cover 32% of the population.&lt;/li>
&lt;/ul>
&lt;/p>
&lt;p>
&lt;b>- Selection procedures&lt;/b> in domains:
&lt;ul>
&lt;li>Selection procedure &lt;b>&lt;i>in the first domain&lt;/i>&lt;/b>:&lt;/li>
&lt;ul>
&lt;li>&lt;b>&lt;i>Sampling frame&lt;/i>&lt;/b>: streets in the Address Register of the Republic of Lithuania (&lt;a href="https://www.registrucentras.lt/adr/p/" target="_blank">www.registrucentras.lt/adr/p&lt;/a>), only in county capitals and other cities/towns, excluding rural areas.&lt;/li>
&lt;li>&lt;b>&lt;i>Sampling method&lt;/b&gt;&lt;/i>: stratified clustered three-stage sampling: systematic random sampling of the primary sampling units - streets (68 in total), random route sampling of households and random sampling of respondents:&lt;/li>
&lt;ul>
&lt;li>In the first stage, the territory of Lithuania was divided into strata according to counties and settlement size (county capitals, other cities/towns and rural areas). The first domain only included county capitals and other cities/towns. Within each stratum primary sampling units were selected in proportion to its population. Primary sampling units in the strata of county capitals and cities/towns were streets (equivalent, not further divided). From the list of streets required amount of primary sampling units were selected using systematic random sampling.&lt;/li>
&lt;li>In the second stage, in each selected primary sampling unit in the strata of county capitals and other cities/towns 10 households were selected. The first household was selected from the table of random numbers. Subsequent households were selected via random route sampling: every 6th household (route was continued until the quota of 10 households was reached).&lt;/li>
&lt;li>In the third stage, in each selected household one respondent was selected using the nearest birthday method.&lt;/li>
&lt;/ul>
&lt;/ul>
&lt;/ul>
&lt;ul>
&lt;li>Selection procedure &lt;b>&lt;i>in the second domain&lt;/i>&lt;/b>:&lt;/li>
&lt;ul>
&lt;li>&lt;b>&lt;i>Sampling frame&lt;/i>&lt;/b>: villages and streets in the Address Register of the Republic of Lithuania (&lt;a href="https://www.registrucentras.lt/adr/p/" target="_blank">www.registrucentras.lt/adr/p&lt;/a>), only in rural areas.&lt;/li>
&lt;li>&lt;b>&lt;i>Sampling method&lt;/b>&lt;/i>: stratified clustered four-stage sampling: systematic random sampling of the primary sampling units - villages (32 in total), random sampling of the secondary sampling units - streets, random route sampling of households and random sampling of respondents:&lt;/li>
&lt;ul>
&lt;li>In the first stage, the territory of Lithuania was divided into strata according to counties and settlement size (county capitals, other cities/towns and rural areas). The second domain only included rural areas. Within each stratum primary sampling units were selected in proportion to its population. Primary sampling units in the strata of rural areas were villages. From the list of villages required amount of primary sampling units were selected using systematic random sampling.&lt;/li>
&lt;li>In the second stage, in each selected primary sampling unit (village) 1 secondary sampling unit - street - was randomly selected form the list of streets within primary sampling units.&lt;/li>
&lt;li>In the third stage, in each selected secondary sampling unit (village streets) 10 households were selected. The first household was selected from the table of random numbers. Subsequent households were selected via random route sampling: every 2nd household (route was continued until the quota of 10 households was reached).&lt;/li>
&lt;li>In the fourth stage, in each selected household one respondent was selected using the nearest birthday method.&lt;/li>
&lt;/ul>
&lt;/ul>
&lt;/ul></sampProc><deviat>Villages with no streets were excluded from the sample.</deviat><collMode>&lt;a href="https://vocabularies.cessda.eu/vocabulary/ModeOfCollection?code=InterviewFaceToFacePAPI&amp;lang=en" target="_blank">Face-to-face interview: Paper-and-pencil (PAPI)&lt;/a> (DDI Alliance CV for Mode Of Collection)</collMode><resInstru>&lt;a href="https://vocabularies.cessda.eu/vocabulary/TypeOfInstrument?code=QuestionnaireStructured&amp;lang=en" target="_blank">Structured questionnaire&lt;/a> (DDI Alliance CV for Type Of Instrument)</resInstru><sources/><ConOps>In order to check the quality of interviewer's work the data collector contacted by phone 10 percent of respondents. Procedure of sampling and compliance with questionnaire instructions were verified. Logic and accuracy of filling out questionnaires were checked by the data collector's department of interviewers.</ConOps><cleanOps>10 percent of the data were checked for questionnaire keying in quality by the data input department. Possible mistakes of coding and congruence of answers to questions in the questionnaire were additionally checked.</cleanOps></dataColl><anlyInfo/></method><dataAccs><setAvail><origArch>&lt;p>UAB "Vilmorus", Lithuania.&lt;/p>
&lt;hr>
&lt;p>UAB "Vilmorus", Lietuva.&lt;/p></origArch><collSize>&lt;p>
&lt;b>&lt;i>Data file *.tab = Duomenų failas *.tab&lt;/i>&lt;/b>
&lt;ul>
&lt;li>Data file (1, SPSS SAV format) = Duomenų failas (1, SPSS SAV formatu).&lt;/li>
&lt;/ul>
&lt;/p>
&lt;p>
&lt;b>&lt;i>Archive files *.tar.gz = Archyviniai failai *.tar.gz&lt;/i>&lt;/b>
&lt;ul>
&lt;li>Data files (2, SPSS SAV format) = Duomenų failai (2, SPSS SAV formatu).&lt;/li>
&lt;li>SPSS syntax files (2, plain text format) = SPSS sintaksės failai (2, grynojo teksto formatu).&lt;/li>
&lt;li>Readme file (1, plain text format) = Readme failas (1, grynojo teksto formatu).&lt;/li>
&lt;/ul>
&lt;/p>
&lt;p>
&lt;b>&lt;i>Documentation files *.tar.gz = Dokumentacijos failai *.tar.gz&lt;/i>&lt;/b>
&lt;ul>
&lt;li>Fieldwork report (1, PDF format) = Lauko darbų ataskaita (1, PDF formatu).&lt;/li>
&lt;li>Readme file (1, plain text format) = Readme failas (1, grynojo teksto formatu).&lt;/li>
&lt;/ul>
&lt;/p>
&lt;p>
&lt;b>&lt;i>Internal documents files *.tar.gz = Vidinių dokumentų failai *.tar.gz&lt;/i>&lt;/b>
&lt;ul>
&lt;li>Other files related to the dataset (5, different formats) = Kiti su duomenų rinkiniu susiję failai (5, įvairūs formatai).&lt;/li>
&lt;li>Readme file (1, plain text format) = Readme failas (1, grynojo teksto formatu).&lt;/li>
&lt;/ul>
&lt;/p>
&lt;p>
&lt;b>&lt;i>Questionnaire file *.pdf = Klausimyno failas *.pdf&lt;/i>&lt;/b>
&lt;ul>
&lt;li> Questionnaire (1, PDF format) = Klausimynas (1, PDF formatu).&lt;/li>
&lt;/ul>
&lt;/p></collSize></setAvail><useStmt><confDec>In order to ensure the confidentiality of the information stored in the LiDA Dataverse repository, users must agree to the &lt;a href="https://doi.org/10.5281/zenodo.17709981" target="_blank">Confidentiality Declaration of the LiDA Dataverse Repository Users&lt;/a> before using any data or other files contained in this dataset. The declaration of confidentiality obliges LiDA Dataverse repository users to maintain the confidentiality of any information to which they have been granted access, if this information directly or indirectly identifies specific individuals. It warns that intentional or unintentional disregard for this pledge incurs liability under the data protection laws of the Republic of Lithuania.
&lt;hr>
Siekiant užtikrinti LiDA Dataverse talpykloje saugomos informacijos konfidencialumą, prieš pradėdami naudotis šiame duomenų rinkinyje esančiais duomenų ir kitais failais, vartotojai privalo sutikti su &lt;a href="https://doi.org/10.5281/zenodo.17709981" target="_blank">LiDA Dataverse talpyklos vartotojų konfidencialumo deklaracija&lt;/a>. Konfidencialumo deklaracijoje LiDA Dataverse talpyklos vartotojai įpareigojami saugoti bet kokios informacijos, prie kurios jiems suteikiama prieiga, konfidencialumą, jei ši informacija leistų tiesiogiai ar netiesiogiai identifikuoti konkrečius asmenis. Įspėjama, kad sąmoningas ar nesąmoningas šio pasižadėjimo nepaisymas užtraukia atitinkamą atsakomybę pagal Lietuvoje galiojančius duomenų apsaugos teisės aktus.</confDec><restrctn>Users undertake not to transfer data curated by the LiDA and to which they have been granted access to any third parties.
&lt;hr>
Vartotojai įsipareigoja neperduoti LiDA saugomų duomenų, prie kurių jiems suteikiama prieiga, trečiosioms šalims.</restrctn><citReq>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. 
&lt;hr>
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. </citReq><conditions>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: &lt;a href="mailto:data@ktu.lt">data@ktu.lt&lt;/a>).
&lt;hr>
Vartotojai įsipareigoja pateikti archyvui publikacijų, kuriose naudoti LiDA saugomi duomenys ar kita informacija, bibliografinius aprašus (raštu ar el. paštu: &lt;a href="mailto:data@ktu.lt">data@ktu.lt&lt;/a>).</conditions><disclaimer>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.
&lt;hr>
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.</disclaimer></useStmt><notes type="DVN:TOU" level="dv">&lt;p>The description of the dataset (&lt;b>metadata&lt;/b>) is freely and openly available to both registered and unregistered users of the LiDA Dataverse repository under the terms of the &lt;a href="https://creativecommons.org/licenses/by/4.0" target="_blank">Creative Commons Attribution 4.0 International licence (CC BY 4.0)&lt;/a>.&lt;/p>
&lt;p>LiDA processed &lt;b>data&lt;/b> files containing a tag “Data” in their title are available to registered users of the LiDA Dataverse repository under the terms of the &lt;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)&lt;/a>.&lt;/p>
&lt;p>Files storing survey &lt;b>questionnaires and cards&lt;/b> and containing a tag “Questionnaire(s)” in their title are available to registered users of the LiDA Dataverse repository under the terms of the &lt;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)&lt;/a>.&lt;/p>
&lt;p>Files storing &lt;b>other&lt;/b> fieldwork materials, research instruments, and other information related to data collection, and containing a tag “Documentation” in their title are available to registered users of the LiDA Dataverse repository under the terms of the &lt;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)&lt;/a>.&lt;/p>
&lt;p>Access to files storing &lt;b>previous&lt;/b> versions of metadata and/or data, as well as files storing data processing syntax, and containing a tag “Archive” in their title, is restricted. Access to these files is granted by the LiDA Dataverse repository administrators upon request via email at &lt;a href="mailto:data@ktu.lt">data@ktu.lt&lt;/a>. Users who are granted access to these files undertake to use them only for their own purposes and not to disclose them to any third parties.&lt;/p>
&lt;p>Access to files storing &lt;b>LiDA internal documents&lt;/b> related to the published dataset, and containing a tag “Internal_documents” in their title, is not granted. These files are intended for internal LiDA use only.&lt;/p>
&lt;hr>
&lt;p>Duomenų rinkinio aprašas (&lt;b>metaduomenys&lt;/b>) yra laisvai ir nemokamai prieinamas registruotiems ir neregistruotiems LiDA Dataverse talpyklos vartotojams pagal &lt;a href="https://creativecommons.org/licenses/by/4.0/deed.lt" target="_blank">„Creative Commons“ Priskyrimo 4.0 tarptautinės licencijos (CC BY 4.0)&lt;/a> sąlygas.&lt;/p>
&lt;p>LiDA sutvarkyti &lt;b>duomenų&lt;/b> failai, kurių pavadinime yra žyma „Data“, yra prieinami registruotiems LiDA Dataverse talpyklos vartotojams pagal &lt;a href="https://creativecommons.org/licenses/by-sa/4.0/deed.lt" target="_blank">„Creative Commons“ Priskyrimo – Analogiško platinimo 4.0 tarptautinės licencijos (CC BY-SA 4.0)&lt;/a> sąlygas.&lt;/p>
&lt;p>Apklausos &lt;b>klausimynų ir kortelių&lt;/b> failai, kurių pavadinime yra žyma „Questionnaire(s)“, yra prieinami registruotiems LiDA Dataverse talpyklos vartotojams pagal &lt;a href="https://creativecommons.org/licenses/by-sa/4.0/deed.lt" target="_blank">„Creative Commons“ Priskyrimo – Analogiško platinimo 4.0 tarptautinės licencijos (CC BY-SA 4.0)&lt;/a> sąlygas.&lt;/p>
&lt;p>&lt;b>Kitos&lt;/b> lauko darbų vykdymo medžiagos, tyrimo instrumentų bei kitos su duomenų surinkimu susijusios informacijos failai, kurių pavadinime yra žyma „Documentation“, yra prieinami registruotiems LiDA Dataverse talpyklos vartotojams pagal &lt;a href="https://creativecommons.org/licenses/by-sa/4.0/deed.lt" target="_blank">„Creative Commons“ Priskyrimo – Analogiško platinimo 4.0 tarptautinės licencijos (CC BY-SA 4.0)&lt;/a> sąlygas.&lt;/p>
&lt;p>&lt;b>Ankstesnių&lt;/b> metaduomenų ir (ar) duomenų versijų ir duomenų apdorojimo sintaksės failai, kurių pavadinime yra žyma „Archive“, yra ribotos prieigos. Prieigą prie šių failų suteikia LiDA Dataverse talpyklos valdytojai, gavę užklausą el. paštu &lt;a href="mailto:data@ktu.lt">data@ktu.lt&lt;/a>. Vartotojai, kuriems suteikta prieiga prie šių failų, įsipareigoja juos naudoti tik savo reikmėms ir neperduoti trečiosioms šalims.&lt;/p>
&lt;p>Prieiga prie failų, kuriuose saugomi &lt;b>LiDA vidiniai dokumentai&lt;/b>, susiję su publikuotu duomenų rinkiniu, ir kurių pavadinime yra žyma „Internal_documents“, nėra suteikiama. Šie failai yra skirti vidiniam LiDA naudojimui.&lt;/p>
&lt;img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by/4.0/88x31.png"/>
&lt;img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by-sa/4.0/88x31.png"/></notes><notes type="DVN:TOA" level="dv">&lt;p>Access to the LiDA internal documents related to the published dataset is not provided.&lt;/p>
&lt;hr>
&lt;p>Prieiga prie LiDA vidinių dokumentų, susijusių su publikuotu duomenų rinkiniu, nesuteikiama.&lt;/p></notes></dataAccs><othrStdyMat/></stdyDscr><fileDscr ID="f4242" URI="https://lida.dataverse.lt/api/access/datafile/4242"><fileTxt><fileName>LiDA_SurveyData_0474_Data_v2.0.tab</fileName><dimensns><caseQnty>1016</caseQnty><varQnty>58</varQnty></dimensns><fileType>text/tab-separated-values</fileType></fileTxt><notes level="file" type="VDC:UNF" subject="Universal Numeric Fingerprint">UNF:6:w7QKXqrPb2U4NsbBlRbGwA==</notes><notes level="file" type="DATAVERSE:TAG" subject="Data File Tag">Survey</notes><notes level="file" type="DATAVERSE:FILEDESC" subject="DataFile Description">Data processed by the LiDA. = LiDA sutvarkyti duomenys.</notes></fileDscr><dataDscr><var ID="v92569" name="id_lida" intrvl="discrete"><location fileid="f4242"/><labl level="variable">Tyrimo identifikacinis numeris (LiDA)</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" 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level="category">3</labl><catStat type="freq">23</catStat></catgry><catgry><catValu>1</catValu><labl level="category">Mažiausiai pažeidžia</labl><catStat type="freq">23</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4</labl><catStat type="freq">24</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7</labl><catStat type="freq">45</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5</labl><catStat type="freq">91</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9</labl><catStat type="freq">144</catStat></catgry><catgry><catValu>10</catValu><labl level="category">Labiausiai pažeidžia</labl><catStat type="freq">490</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:QsDGvcIsXxzCiwgKSewdvA==</notes></var><var ID="v92563" name="B2_6" 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type="medn">2.0</sumStat><sumStat type="mean">3.8671259842519667</sumStat><sumStat type="vald">1016.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="max">99.0</sumStat><sumStat type="stdev">6.650831423848222</sumStat><sumStat type="min">1.0</sumStat><catgry><catValu>2</catValu><labl level="category">2</labl><catStat type="freq">89</catStat></catgry><catgry><catValu>1</catValu><labl level="category">Mažiausiai pažeidžia</labl><catStat type="freq">443</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4</labl><catStat type="freq">39</catStat></catgry><catgry><catValu>10</catValu><labl level="category">Labiausiai pažeidžia</labl><catStat type="freq">58</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8</labl><catStat type="freq">47</catStat></catgry><catgry><catValu>99</catValu><labl level="category">Nežino/ neatsakė</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5</labl><catStat type="freq">135</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6</labl><catStat type="freq">56</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7</labl><catStat type="freq">36</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9</labl><catStat type="freq">35</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:NGlfIyXu/DXsExemTyEfvA==</notes></var><var ID="v92588" name="B2_8" intrvl="discrete"><location fileid="f4242"/><labl level="variable">B2.8|Pažeidžia: Jūsų nuotrauka laikraštyje ir komentaras apie aprangos stilių</labl><sumStat type="vald">1016.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="max">99.0</sumStat><sumStat type="medn">7.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mean">6.820866141732282</sumStat><sumStat type="min">1.0</sumStat><sumStat type="stdev">7.181215070547171</sumStat><catgry><catValu>2</catValu><labl level="category">2</labl><catStat type="freq">57</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7</labl><catStat type="freq">55</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5</labl><catStat type="freq">148</catStat></catgry><catgry><catValu>99</catValu><labl level="category">Nežino/ neatsakė</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8</labl><catStat type="freq">101</catStat></catgry><catgry><catValu>1</catValu><labl level="category">Mažiausiai pažeidžia</labl><catStat type="freq">103</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4</labl><catStat type="freq">52</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9</labl><catStat type="freq">111</catStat></catgry><catgry><catValu>10</catValu><labl level="category">Labiausiai pažeidžia</labl><catStat type="freq">243</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:9ChjFcEVsukzncrhzwDWIA==</notes></var><var ID="v92593" name="B2_9" intrvl="discrete"><location fileid="f4242"/><labl level="variable">B2.9|Pažeidžia: TV laidoje rodomas pareigūnų sulaikytas Jūsų neblaivus nepilnametis</labl><sumStat type="mode">.</sumStat><sumStat type="vald">1016.0</sumStat><sumStat type="max">99.0</sumStat><sumStat type="mean">7.962598425196849</sumStat><sumStat type="stdev">8.108171317166995</sumStat><sumStat type="min">1.0</sumStat><sumStat type="medn">8.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>7</catValu><labl level="category">7</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9</labl><catStat type="freq">126</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8</labl><catStat type="freq">111</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5</labl><catStat type="freq">136</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3</labl><catStat type="freq">33</catStat></catgry><catgry><catValu>10</catValu><labl level="category">Labiausiai pažeidžia</labl><catStat type="freq">357</catStat></catgry><catgry><catValu>1</catValu><labl level="category">Mažiausiai pažeidžia</labl><catStat type="freq">69</catStat></catgry><catgry><catValu>99</catValu><labl level="category">Nežino/ neatsakė</labl><catStat type="freq">7</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4</labl><catStat type="freq">26</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2</labl><catStat type="freq">30</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6</labl><catStat type="freq">54</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:GXxtqvEebCLfhx9R1IFRpg==</notes></var><var ID="v92564" name="B3_1" intrvl="discrete"><location fileid="f4242"/><labl level="variable">B3.1|Diskriminuojama: tautinės mažumos</labl><sumStat type="min">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="max">99.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">8.770367143050601</sumStat><sumStat type="mean">3.946850393700788</sumStat><sumStat type="vald">1016.0</sumStat><catgry><catValu>2</catValu><labl level="category">2</labl><catStat type="freq">170</catStat></catgry><catgry><catValu>99</catValu><labl level="category">Nežino/ neatsakė</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7</labl><catStat type="freq">34</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6</labl><catStat type="freq">63</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5</labl><catStat type="freq">151</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3</labl><catStat type="freq">124</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9</labl><catStat type="freq">14</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8</labl><catStat type="freq">23</catStat></catgry><catgry><catValu>10</catValu><labl level="category">Labiausiai diskriminuojama</labl><catStat type="freq">18</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4</labl><catStat type="freq">78</catStat></catgry><catgry><catValu>1</catValu><labl level="category">Mažiausiai diskriminuojama</labl><catStat type="freq">333</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric 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level="category">4</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>99</catValu><labl level="category">Nežino/ neatsakė</labl><catStat type="freq">10</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3</labl><catStat type="freq">118</catStat></catgry><catgry><catValu>10</catValu><labl level="category">Labiausiai diskriminuojama</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7</labl><catStat type="freq">43</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5</labl><catStat type="freq">166</catStat></catgry><catgry><catValu>1</catValu><labl level="category">Mažiausiai diskriminuojama</labl><catStat type="freq">222</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:W9W6wXMNfw8Usyc+CUufRw==</notes></var><var ID="v92584" name="B3_3" intrvl="discrete"><location fileid="f4242"/><labl level="variable">B3.3|Diskriminuojama: neįgalūs asmenys</labl><sumStat type="max">99.0</sumStat><sumStat type="min">1.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">1016.0</sumStat><sumStat type="stdev">7.123435564276021</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">5.246062992125983</sumStat><sumStat type="medn">5.0</sumStat><catgry><catValu>3</catValu><labl level="category">3</labl><catStat type="freq">121</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2</labl><catStat type="freq">97</catStat></catgry><catgry><catValu>99</catValu><labl level="category">Nežino/ neatsakė</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6</labl><catStat type="freq">89</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5</labl><catStat type="freq">175</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4</labl><catStat type="freq">90</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9</labl><catStat type="freq">40</catStat></catgry><catgry><catValu>10</catValu><labl level="category">Labiausiai diskriminuojama</labl><catStat type="freq">61</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8</labl><catStat type="freq">97</catStat></catgry><catgry><catValu>1</catValu><labl level="category">Mažiausiai diskriminuojama</labl><catStat type="freq">154</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:zvbOyFP8+pmcK2opwHFsKA==</notes></var><var ID="v92605" name="B3_4" intrvl="discrete"><location fileid="f4242"/><labl level="variable">B3.4|Diskriminuojama: moterys</labl><sumStat type="max">99.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="vald">1016.0</sumStat><sumStat type="stdev">7.082759513914715</sumStat><sumStat type="min">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">5.0</sumStat><sumStat type="mean">5.005905511811025</sumStat><catgry><catValu>1</catValu><labl level="category">Mažiausiai diskriminuojama</labl><catStat type="freq">176</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4</labl><catStat type="freq">93</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>10</catValu><labl level="category">Labiausiai diskriminuojama</labl><catStat type="freq">30</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6</labl><catStat type="freq">92</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9</labl><catStat type="freq">43</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5</labl><catStat type="freq">211</catStat></catgry><catgry><catValu>99</catValu><labl level="category">Nežino/ neatsakė</labl><catStat type="freq">5</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3</labl><catStat type="freq">119</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2</labl><catStat type="freq">84</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:qgjgs6DGBmkOaHuwSnZHOQ==</notes></var><var ID="v92572" name="B3_5" intrvl="discrete"><location fileid="f4242"/><labl level="variable">B3.5|Diskriminuojama: pagyvenę žmonės</labl><sumStat type="medn">5.0</sumStat><sumStat type="mean">5.740157480314959</sumStat><sumStat type="vald">1016.0</sumStat><sumStat type="stdev">6.489658432934742</sumStat><sumStat type="mode">.</sumStat><sumStat type="min">1.0</sumStat><sumStat type="max">99.0</sumStat><sumStat type="invd">0.0</sumStat><catgry><catValu>3</catValu><labl level="category">3</labl><catStat type="freq">96</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9</labl><catStat type="freq">76</catStat></catgry><catgry><catValu>99</catValu><labl level="category">Nežino/ neatsakė</labl><catStat type="freq">4</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8</labl><catStat type="freq">112</catStat></catgry><catgry><catValu>1</catValu><labl level="category">Mažiausiai diskriminuojama</labl><catStat type="freq">116</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5</labl><catStat type="freq">171</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6</labl><catStat type="freq">93</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4</labl><catStat type="freq">75</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7</labl><catStat type="freq">101</catStat></catgry><catgry><catValu>10</catValu><labl level="category">Labiausiai diskriminuojama</labl><catStat type="freq">86</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:3WgJhqfz3ltt+e5urioORg==</notes></var><var ID="v92594" name="B3_6" intrvl="discrete"><location fileid="f4242"/><labl level="variable">B3.6|Diskriminuojama: vaikai</labl><sumStat type="invd">0.0</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="max">99.0</sumStat><sumStat type="mean">4.18996062992126</sumStat><sumStat type="stdev">7.713613938903668</sumStat><sumStat type="min">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">1016.0</sumStat><catgry><catValu>9</catValu><labl level="category">9</labl><catStat type="freq">19</catStat></catgry><catgry><catValu>99</catValu><labl level="category">Nežino/ neatsakė</labl><catStat type="freq">6</catStat></catgry><catgry><catValu>1</catValu><labl level="category">Mažiausiai diskriminuojama</labl><catStat type="freq">289</catStat></catgry><catgry><catValu>10</catValu><labl level="category">Labiausiai diskriminuojama</labl><catStat type="freq">21</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2</labl><catStat type="freq">142</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5</labl><catStat type="freq">165</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6</labl><catStat type="freq">71</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7</labl><catStat type="freq">48</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8</labl><catStat type="freq">55</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>3</catValu><labl 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type="freq">180</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6</labl><catStat type="freq">74</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7</labl><catStat type="freq">88</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>10</catValu><labl level="category">Labiausiai diskriminuojama</labl><catStat type="freq">107</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3</labl><catStat type="freq">100</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8</labl><catStat type="freq">116</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4</labl><catStat type="freq">72</catStat></catgry><catgry><catValu>1</catValu><labl level="category">Mažiausiai diskriminuojama</labl><catStat type="freq">127</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" 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type="freq">99</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3</labl><catStat type="freq">86</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5</labl><catStat type="freq">191</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8</labl><catStat type="freq">112</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7</labl><catStat type="freq">131</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6</labl><catStat type="freq">104</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4</labl><catStat type="freq">61</catStat></catgry><catgry><catValu>99</catValu><labl level="category">Nežino/ neatsakė</labl><catStat type="freq">8</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:gS8r0vZyiLs64PUEhQEnbw==</notes></var><var ID="v92600" name="B4_2" intrvl="discrete"><location fileid="f4242"/><labl 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type="freq">104</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2</labl><catStat type="freq">32</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6</labl><catStat type="freq">97</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9</labl><catStat type="freq">117</catStat></catgry><catgry><catValu>1</catValu><labl level="category">Mažiausiai pažeidžiamos</labl><catStat type="freq">55</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5</labl><catStat type="freq">166</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:52zjlmQ67kb/xJKNrdk1rA==</notes></var><var ID="v92609" name="B4_3" intrvl="discrete"><location fileid="f4242"/><labl level="variable">B4.3|Pažeidžiamos: teisė į nuosavybę</labl><sumStat type="mean">6.524606299212603</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">6.0</sumStat><sumStat 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type="freq">51</catStat></catgry><catgry><catValu>10</catValu><labl level="category">Daugiausiai pažeidžiamos</labl><catStat type="freq">108</catStat></catgry><catgry><catValu>1</catValu><labl level="category">Mažiausiai pažeidžiamos</labl><catStat type="freq">87</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8</labl><catStat type="freq">134</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:7EamFns5oQRZAwiiOaU6lQ==</notes></var><var ID="v92580" name="B4_4" intrvl="discrete"><location fileid="f4242"/><labl level="variable">B4.4|Pažeidžiamos: teisė dalyvauti politiniame gyvenime</labl><sumStat type="mean">4.674212598425202</sumStat><sumStat type="medn">3.0</sumStat><sumStat type="max">99.0</sumStat><sumStat type="min">1.0</sumStat><sumStat type="stdev">10.21296212851601</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">0.0</sumStat><sumStat 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type="freq">11</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3</labl><catStat type="freq">130</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8</labl><catStat type="freq">42</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:1+AgJS5Of7NGgtNFB8hcQQ==</notes></var><var ID="v92601" name="B4_5" intrvl="discrete"><location fileid="f4242"/><labl level="variable">B4.5|Pažeidžiamos: teisė į žodžio laisvę</labl><sumStat type="medn">3.0</sumStat><sumStat type="mean">4.5226377952755925</sumStat><sumStat type="max">99.0</sumStat><sumStat type="min">1.0</sumStat><sumStat type="vald">1016.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">8.838534045285073</sumStat><catgry><catValu>1</catValu><labl level="category">Mažiausiai pažeidžiamos</labl><catStat type="freq">296</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2</labl><catStat type="freq">151</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3</labl><catStat type="freq">103</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7</labl><catStat type="freq">54</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8</labl><catStat type="freq">49</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9</labl><catStat type="freq">36</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6</labl><catStat type="freq">66</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4</labl><catStat type="freq">54</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5</labl><catStat type="freq">160</catStat></catgry><catgry><catValu>99</catValu><labl level="category">Nežino/ neatsakė</labl><catStat type="freq">8</catStat></catgry><catgry><catValu>10</catValu><labl level="category">Daugiausiai pažeidžiamos</labl><catStat type="freq">39</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:l50DhayGO05F0Fpy+dOm2g==</notes></var><var ID="v92598" name="B4_6" intrvl="discrete"><location fileid="f4242"/><labl level="variable">B4.6|Pažeidžiamos: teisė į asmens saugumą</labl><sumStat type="mode">.</sumStat><sumStat type="vald">1016.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">7.0</sumStat><sumStat type="stdev">9.089573124804675</sumStat><sumStat type="max">99.0</sumStat><sumStat type="min">1.0</sumStat><sumStat type="mean">7.268700787401575</sumStat><catgry><catValu>5</catValu><labl level="category">5</labl><catStat type="freq">175</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8</labl><catStat type="freq">151</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2</labl><catStat type="freq">44</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9</labl><catStat type="freq">126</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7</labl><catStat type="freq">85</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4</labl><catStat type="freq">42</catStat></catgry><catgry><catValu>1</catValu><labl level="category">Mažiausiai pažeidžiamos</labl><catStat type="freq">67</catStat></catgry><catgry><catValu>99</catValu><labl level="category">Nežino/ neatsakė</labl><catStat type="freq">9</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3</labl><catStat type="freq">61</catStat></catgry><catgry><catValu>6</catValu><labl level="category">6</labl><catStat type="freq">96</catStat></catgry><catgry><catValu>10</catValu><labl level="category">Daugiausiai pažeidžiamos</labl><catStat type="freq">160</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:u+7TfSduGoPZp4L5FfFeBw==</notes></var><var ID="v92615" name="B5_1" intrvl="discrete"><location fileid="f4242"/><labl level="variable">B5.1|Pažeidinėja žmogaus teises: Specialiųjų tyrimų tarnyba</labl><sumStat type="mean">7.119094488188975</sumStat><sumStat type="min">1.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="vald">1016.0</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="medn">5.0</sumStat><sumStat type="stdev">13.599789536437667</sumStat><sumStat type="max">99.0</sumStat><catgry><catValu>6</catValu><labl level="category">6</labl><catStat type="freq">97</catStat></catgry><catgry><catValu>8</catValu><labl level="category">8</labl><catStat type="freq">83</catStat></catgry><catgry><catValu>3</catValu><labl level="category">3</labl><catStat type="freq">109</catStat></catgry><catgry><catValu>9</catValu><labl level="category">9</labl><catStat type="freq">47</catStat></catgry><catgry><catValu>1</catValu><labl level="category">Visiškai nepažeidžia</labl><catStat type="freq">96</catStat></catgry><catgry><catValu>99</catValu><labl level="category">Nežino/ neatsakė</labl><catStat type="freq">21</catStat></catgry><catgry><catValu>7</catValu><labl level="category">7</labl><catStat type="freq">79</catStat></catgry><catgry><catValu>10</catValu><labl level="category">Labiausiai pažeidžia</labl><catStat type="freq">82</catStat></catgry><catgry><catValu>5</catValu><labl level="category">5</labl><catStat type="freq">241</catStat></catgry><catgry><catValu>2</catValu><labl level="category">2</labl><catStat type="freq">80</catStat></catgry><catgry><catValu>4</catValu><labl level="category">4</labl><catStat type="freq">81</catStat></catgry><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:oq7wPFKkPy9tvipLbKvrLg==</notes></var><var ID="v92617" name="B5_2" intrvl="discrete"><location fileid="f4242"/><labl level="variable">B5.2|Pažeidinėja žmogaus teises: policija</labl><sumStat 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