<?xml version="1.0" encoding="UTF-8" ?>
<!-- module name : ethmigsurveydataDDIPrototype.xml -->
<!-- module in-charge : alexandre.mairot@sciencespo.fr (CDSP) -->
<!-- module title : PROTOTYPE DDI2 ETHMIGSURVEYDATA -->
<!-- module program : XML DDI -->
<!-- module version date : 2019-06-21 -->
<codeBook xmlns="ddi:codebook:2_5" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" ID="RON020" xml:lang="en" version="2.5" xsi:schemaLocation="ddi:codebook:2_5 http://www.ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/codebook.xsd">
  <docDscr>
    <citation>
      <titlStmt>
        <titl>Generations and Gender Survey Romania Wave 1</titl>
      </titlStmt>
      <dcterms:spatial>Romania</dcterms:spatial>
      <dc:identifier>3845</dc:identifier>
      <dc:contributor>Chang You </dc:contributor>
      <dcterms:modified>2024-07-16</dcterms:modified>
      <dcterms:temporal>2000-01-01</dcterms:temporal>
      <dc:coverage>We have covered only surveys with sample size 300 or larger.</dc:coverage>
      <dc:coverage>There are no (or very few) alternative sources of survey data on EMM integration in that country (i.e. Romania) and the survey includes a sizeable number or EMM respondents (even if smaller than 400).</dc:coverage>
    </citation>
  </docDscr>
  <stdyDscr>
    <citation>
      <titlStmt>
        <titl>Generations and Gender Survey Romania Wave 1</titl>
        <altTitl>GGS Romania Wave 1</altTitl>
        <parTitl xml:lang="en">Generations and Gender Survey Romania Wave 1</parTitl>
        <IDNo>RON020</IDNo>
      </titlStmt>
      <prodStmt>
</prodStmt>
      <distStmt>
        <distrbtr>Institut national d'études démographiques (INED); Netherlands Interdisciplinary Demographic Institute (NIDI)</distrbtr>
      </distStmt>
      <serStmt>
        <serInfo>2005-11-07</serInfo>
      </serStmt>
      <biblCit>"Research reports using the GGS Wave 1 and GGS Wave 2 data must include the following acknowledgment to the GGS data:  This paper uses data from the GGS Waves 1, and 2 (DOIs: 10.17026/dans-z5z-xn8g, 10.17026/dans-xm6-a262), see Gauthier, A. H. et al. (2018) or visit the GGP website (https://www.ggp-i.org/) for methodological details."</biblCit>
      <notes>9.7: A list of all other publications can be found here: https://www.ggp-i.org/data/methodology/</notes>
    </citation>
    <stdyInfo>
      <subject>
        <keyword>Citizenship and naturalization</keyword>
        <keyword>Demographic characteristics/behaviours</keyword>
        <keyword>Educational attainment/trajectory, human capital, skills</keyword>
        <keyword>Family reunification, marriage, family relations</keyword>
        <keyword>Gender relations, gender identity, sexuality</keyword>
        <keyword>Housing/housing access</keyword>
        <keyword>Health/health access</keyword>
        <keyword>Identity (ethnic, national, racial, religious) and belonging</keyword>
        <keyword>Financial situation and/or economic inequality</keyword>
        <keyword>Labour market integration and/or socioeconomic mobility</keyword>
        <keyword>Legal status/administrative situation</keyword>
        <keyword>Migration trajectory (past/future)</keyword>
        <keyword>Political inclusion and participation, and social/political attitudes</keyword>
        <keyword>Social cohesion and/or civic engagement and/or networks</keyword>
        <keyword>Unaccompanied migrant minors</keyword>
        <keyword>Religion</keyword>
        <keyword>Other</keyword>
        <keyword> Child care</keyword>
        <keyword>Household labour</keyword>
        <keyword>Early childhood education and/or development</keyword>
        <topcClas>Demography.Migration</topcClas>
        <topcClas>SocialStratificationAndGroupings.Minorities</topcClas>
        <topcClas>SocietyAndCulture.CulturalAndNationalIdentity</topcClas>
        <topcClas>Economics.EconomicConditionsAndIndicators</topcClas>
        <topcClas>Economics.IncomePropertyAndInvestmentSaving</topcClas>
        <topcClas>LabourAndEmployment.Employment</topcClas>
        <topcClas>SocialStratificationAndGroupings.SocialAndOccupationalMobility</topcClas>
        <topcClas>Politics.PoliticalBehaviourAndAttitudes</topcClas>
        <topcClas>SocietyAndCulture.SocialBehaviourAndAttitudes</topcClas>
        <topcClas>SocietyAndCulture.ReligionAndValues</topcClas>
        <topcClas>SocialWelfarePolicyAndSystems.SpecificSocialServicesUseAndAvailability</topcClas>
        <topcClas>SocialStratificationAndGroupings.FamilyLifeAndMarriage</topcClas>
        <topcClas>SocialStratificationAndGroupings.GenderAndGenderRoles</topcClas>
        <topcClas>HousingAndLandUse.Housing</topcClas>
      </subject>
      <sumDscr>
        <collDate event="start">2005-11-07</collDate>
        <collDate event="end">2005-12-18</collDate>
        <collDate cycle="Generations and Gender Survey"></collDate>
        <nation abbr="RO">Romania</nation>
        <geogCover><![CDATA[
National
]]></geogCover>
        <universe clusion="I"><![CDATA[
Adult population (18+ or 15+) only
Both men and women
]]></universe>
      </sumDscr>
      <notes subject="subsurvey">
2005-11-07,
Every 2-3 years
</notes>
      <notes subject="inclusion in a large survey">
2.5: The countries listed are specific to waves 1-2 of GGS round 1, which included the Germany-Turkish subsample. GGS 2020 (round 2) wave 1 is currently underway and has been conducted in Belarus and Kazakhstan thus far; the full list of participating countries has yet to be established, though the goal is to cover around 20 countries total.
</notes>
    </stdyInfo>
    <method>
      <dataColl>
        <timeMeth method="Longitudinal/panel survey (multiple waves with the same or partially overlapping samples)"></timeMeth>
        <frequenc>Every 2-3 years</frequenc>
        <sampProc><![CDATA[
Survey include subgroup of majority pop: No
Survey designed as a general population survey: Yes
Sampling strategy - closed: Random sampling/selection (i.e. probability sampling, of some kind)
Sampling strategy - open: Multistage sample design - four stages
]]></sampProc>
        <sampleFrame>
          <txt><![CDATA[
Representative of the population: Yes
]]></txt>
          <universe clusion="I"><![CDATA[
EMM Target population: which minority group(s): Both the participants who are not born in the country of interview, and the participants who identify with an ethnic group that differs from the main ethnic group of the country of interview
Was the EMM target population…: Other (e.g. returning emigrants); Ethnic and migrant minorities                         
Operationalization of target population: Country of birth of respondent; Country of birth of parents/grandparents; Citizenship/nationality of respondent (current); Citizenship/nationality of respondent (at birth); Citizenship/nationality of parents/grandparents (current); Citizenship/nationality of parents/grandparents (at birth); Ethnic self-identification of respondent (one response allowed); Ethnic self-identification of parents/grandparents; Classification by geographical location; 
Sampling frame(s): Dwelling lists: EMZOT (master sample)
]]></universe>
          <frameUnit ID="frameUnit_total">
            <unitType numberOfUnits="00000"><![CDATA[
Sampling units: Individuals
]]></unitType>
            <txt>[Total]</txt>
          </frameUnit>
        </sampleFrame>
        <targetSampleSize>
          <sampleSize ID="sampleSize_total">10080</sampleSize>
        </targetSampleSize>
        <collMode>
Face to face (PAPI); 
</collMode>
        <sources>
          <srcDocu>https://www.ggp-i.org/data/browse-the-data/</srcDocu>
        </sources>
        <collSitu><![CDATA[
Questionnaire in migrant language: No
Average duration/length of interview: 95
Number of questions: 1446
]]></collSitu>
        <weight><![CDATA[
Are weights provided: Yes
Description: Composed post-stratification weight that combines two weights: a) based on age, gender, region (full matrix) and b) based in age, sex, household size (margins).
]]></weight>
      </dataColl>
      <notes subject="sample size">5.2: Of the overall sample, 1239 were EMM, which corresponds to the number of participants who considered themselves belonging to an ethnic group other than the main ethnic group of the country of interview (Variable a110: Ethnic group (country-spec. list))</notes>
      <anlyInfo>
        <respRate ID="respRate_total"><![CDATA[
Total net/achieved sample: 11986
Overall response rate: 85.8
Overall response rate calculated: By data producers with no mentioned formula                                         ]]></respRate>
        <respRate ID="respRate_sg1"><![CDATA[
]]></respRate>
        <respRate ID="respRate_sg2"><![CDATA[
]]></respRate>
      </anlyInfo>
      <stdyClas>Survey in development/not yet completed: No</stdyClas>
    </method>
    <dataAccs>
      <setAvail>
        <accsPlac>https://ggp.colectica.org/</accsPlac>
        <avlStatus><![CDATA[
Availability of the survey dataset: Yes, publicly available
Access to complete dataset: Yes, micro-data available for download/direct access by researchers
Access to portions of dataset: Not applicable (full dataset accessible)
Access to aggregate data results: Yes
]]></avlStatus>
      </setAvail>
      <useStmt>
        <restrctn>In order to access micro data files, users have to sign and submit a Statement of affiliation, confidentiality and acceptable usage. They also have to submit a title and abstract of their research project. They can use the data for all their research projects, except for datasets from Australia and Norway. Users of these datasets need to submit a new application form if they want to use the data in a different research project. The access rights from Wave 1 data are transferred to the Wave 2 data.</restrctn>
      </useStmt>
      <notes>8.2-8.4: The GGS data have been archived with the Data Archiving and Networked Services (DANS) (https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:130499); as such, the DOI is linked to this storage of the data. However, micro-data distribution goes via the GGP website. 8.3: The ID number applies to both wave 1 and wave 2 because the data archives merges data from these 2 waves.</notes>
    </dataAccs>
    <othrStdyMat>
      <relMat ID="relMat_technical">
        <citation>
          <titlStmt>
            <titl>Technical survey documentation</titl>
          </titlStmt>
          <verStmt>
            <version>https://doi.org/10.4054/DemRes.2016.34.18 ; https://doi.org/10.14301/llcs.v9i4.500</version>
          </verStmt>
          <biblCit>Vikat, A., Spéder, Z., Beets, G., Billari, F., Bühler, C., Désesquelles, A., Fokkema, T., Hoem, J., MacDonald, A., Neyer, G., Pailhé, A., Pinnelli, A., &amp; Solaz, A. (2007). Generations and Gender Survey (GGS): towards a better understanding of relationships and processes in the life course. Demographic Research, 17, 389–440. https://doi.org/10.4054/DemRes.2007.17.14; Gauthier, A. H., Cabaço, S., &amp; Emery, T. (2018). Generations and Gender Survey study profile. Longitudinal and Life Course Studies, 9(4), 456-465. https://doi.org/10.14301/llcs.v9i4.500</biblCit>
          <holdings URI="https://www.demographic-research.org/volumes/vol17/14/default.htm ; http://www.demographic-research.org/volumes/vol34/18/default.htm ; https://www.llcsjournal.org/index.php/llcs/article/view/500/618"></holdings>
          <dcterms:available>Yes, publicly available</dcterms:available>
          <dcterms:conformsTo>No specific standard</dcterms:conformsTo>
          <dc:language>English</dc:language>
          <dc:language>ENG</dc:language>
        </citation>
      </relMat>
      <relMat ID="relMat_questionnaire">
        <citation>
          <titlStmt>
            <titl>Questionnaire</titl>
          </titlStmt>
          <holdings URI="https://ggpsurvey.ined.fr/documents/Questionnaires/Romania_Questionnaire_W1_ro.pdf"></holdings>
          <dcterms:available>Publicly available</dcterms:available>
          <dc:language>Romanian</dc:language>
          <dc:language>ROU</dc:language>
        </citation>
      </relMat>
      <relStdy>
        <citation>
          <titlStmt>
            <titl>Generations and Gender Survey</titl>
            <altTitl>GGS</altTitl>
            <parTitl xml:lang="en">Generations and Gender Survey</parTitl>
            <IDNo>GGS2004</IDNo>
          </titlStmt>
          <dcterms:spatial>Wave 1: Australia, Austria, Belgium, Bulgaria, Czech Republic, Estonia, France, Georgia, Germany, Germany-Turkish subsample, Hungary, Italy, Japan, Lithuania, Netherlands, Norway, Poland, Russian Federation, Sweden; Wave 2: Australia, Austria, Bulgaria, Czech Republic, France, Georgia, Germany, Germany-Turkish subsample, Hungary, Italy, Lithuania, Netherlands, Poland, Russia</dcterms:spatial>
        </citation>
      </relStdy>
      <relStdy>
        <citation>
          <titlStmt>
            <titl>No</titl>
          </titlStmt>
        </citation>
      </relStdy>
      <othRefs>
        <citation>
          <titlStmt>
            <titl>Any other publications</titl>
          </titlStmt>
        </citation>
      </othRefs>
    </othrStdyMat>
  </stdyDscr>
  <fileDscr>
    <fileTxt>
      <fileCitation>
        <verStmt>
          <version>https://doi.org/10.17026/dans-z5z-xn8g (GGS Wave 1)</version>
        </verStmt>
      </fileCitation>
      <fileCont><![CDATA[
Migrant/minority related questions: Country of birth of respondent; Country of birth of parents; Nationality of respondent (current); Nationality of respondent (at birth); Nationality of parents (current); Nationality of parents (at birth); Ethnic self-identification of respondent (one response allowed); Ethnic self-identification of parents; Mother tongue/language related question;                 
Dataset language(s) available: English; ENG                
]]></fileCont>
    </fileTxt>
  </fileDscr>
</codeBook>