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MOVE: Mapping mobility - pathways, institutions and structural effects of youth mobility Datasets

Version
1
Resource Type
Dataset
Creator
  • Navarrete Moreno, Lorenzo (Colegio Profesional de Politólogos y Sociólogos de la Comunidad de Madrid)
Publication Date
2018
Contributor
  • Lorenzo Rodríguez, Javier (Universidad Carlos III) (Other)
  • Díaz-Chorne, Laura (Colegio Profesional de Politólogos y Sociólogos de la Comunidad de Madrid) (Other)
  • Suárez-Lledó, Víctor (Colegio Profesional de Politólogos y Sociólogos de la Comunidad de Madrid) (Other)
  • Fernández-Araiz, Víctor (Colegio Profesional de Politólogos y Sociólogos de la Comunidad de Madrid) (Other)
  • Díaz-Catalán, Celia (Colegio Profesional de Politólogos y Sociólogos de la Comunidad de Madrid) (Other)
Classification
  • ZA:
    • International Institutions, Relations, Conditions
    • Social Policy
Description
  • Abstract

    This database presents the results of the MOVE Project Survey (Work Package 4) that has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No. 649263. The consortium of MOVE comprises nine partners in six countries: Luxembourg, Germany, Hungary, Norway, Romania, and Spain. The central aim of MOVE is to provide evidence-based knowledge on mobility of young people in Europe as a prerequisite to improve mobility conditions, and to identify fostering and hindering factors of “beneficial” mobility. This aim is pursued using a multilevel interdisciplinary research approach, aiming at a comprehensive and systematic analysis of the mobility of young people in Europe. Objectives of the Survey: –To find out about the role and value of information and support services for young people and their decision making process to go abroad. –To explore the role of transnational networks for support and as a potential “pull factor” for mobility. –To examine the agency of young people with mobility experience and without it. –To study the formation of social capital and the dimensions of social inequality of mobile young people and their effects on future perspectives as well as the reproduction of social inequalities. –To carry out research on the formation of identity by those mobile young people compared to non- mobile ones. –To examine the career-plans of young people and their personal attachments related to their commitments in their home country (e.g. sending money home, supporting the family, etc.) –To gain insights into the (re)production of social inequality concerning mobility and non- mobility.
Temporal Coverage
  • 2016-11-23 / 2017-01-31
Geographic Coverage
  • Luxembourg / LU
  • Hungary / HU
  • Germany / DE
  • Norway / NO
  • Spain / ES
  • Romania / RO
Sampled Universe
Young people between 18 and 29 years of age. Nationals from one of the participating countries or those who obtained the secondary school certificate/diploma in any of the six participating countries
Sampling
Combined online panel and snowball survey. The Online Panel Survey Design and Field Research. Universe: Mobile and non-mobile young people between 18 and 29 years of age, nationals of at least one of the consortium partner, or those who obtained the secondary school certificate/diploma in any of the six participating countries. Sample error: n=1,000 interviews, +/- 3.2%; n=750 interviews +/- 3.7% confidence inter- val 95%. Quality standards: ISOMAR, ISO, AENOR, IQNet. Sample size: 5,769 questionnaires. Languages: The online survey was available in, French, German, Hungarian, Norwegian (Nynorsk and Bokm˚al), Luxembourgish, German for Luxembourg, Romanian and Spanish. Fieldwork dates: 23rd of November 2016 to 30th of January 2017, accounting for 8 weeks. Pre-test: The questionnaire was submitted to a pre-test, and amendments were introduced to improve the final results. The Online Snowball Survey The online survey panel was complemented with a snowball sampling, self-selected, online survey targeting only young people involved, in the past or currently, in a mobility process (n=3,207). Furthermore, as presented in D.4.4, snowball sampling (Goodman 1961), is the most efficient way to obtain respondents through referrals amongst people sharing the same features, which includes hidden populations amongst migrants. Design and Field Research The questionnaire design process followed the same work flow as the online panel survey questionnaire, using the same set of questions, except those related to the non-mobile questions which were deleted. The survey design and field research were unfolded as follows: Universe: people living abroad or people with mobility experience between 18 and 29 years of age. Nationals from one of the participating countries or those who obtained the secondary school certificate/diploma in any of the six participating countries. Methodology: non-probabilistic snowball Sample size: n=3,207. Languages: French, German, Hungarian, Norwegian (Nynorsk and Bokm˚al), Luxembourgish, German for Luxembourg, Romanian and Spanish. Duration: 15 to 25 minutes. Fieldwork dates: 7th of December 2016, reaching peak activity from 19th of December 2016 to 31st of January 2017, and finished on 5th of February 2017. Sample per country: A questionnaire was assigned to a consortium country whenever the respondent was a national, had obtained his/her secondary school certificate or had carried out the last year of studies before dropping out in the said country.
Collection Mode
    • Interactive self-administered questionnaire: CASI (Computer Assisted Self- Interview)
Data and File Information
  • Unit Type: Individual
    Number of Units: 5499
    Number of Variables: 491
    • File Name: MOVE-SD1-2017.sav
      File Format: application/x-spss-sav
      File Size: 2834471
      Data Fingerprint: a142e2a3530e686e91d3a181bcd53e0e
      Method Fingerprint: MD5
  • Unit Type: Individual
    Number of Units: 5499
    Number of Variables: 491
    • File Name: MOVE-SD1-2017.csv
      File Format: application/vnd.ms-excel
      File Size: 5451253
      Data Fingerprint: 09e0253f52c1c51affca9cee1b683841
      Method Fingerprint: MD5
  • Unit Type: Individual
    Number of Units: 3207
    Number of Variables: 491
    • File Name: MOVE-SD2-2017.sav
      File Format: application/x-spss-sav
      File Size: 1709095
      Data Fingerprint: 156318225157b8a9cf6159f3407b815e
      Method Fingerprint: MD5
  • Unit Type: Individual
    Number of Units: 3207
    Number of Variables: 491
    • File Name: MOVE-SD2-2017.csv
      File Format: application/vnd.ms-excel
      File Size: 3192375
      Data Fingerprint: ba219e94860c3db1ff6fa6ae4b146a49
      Method Fingerprint: MD5
  • Unit Type: Individual
    Number of Units: 8706
    Number of Variables: 496
    • File Name: MOVE-SD3-2017.sav
      File Format: application/x-spss-sav
      File Size: 4625666
      Data Fingerprint: 06215589f9844e1bc4ffc3d3bfc9e606
      Method Fingerprint: MD5
  • Unit Type: Individual
    Number of Units: 8706
    Number of Variables: 496
    • File Name: MOVE-SD3-2017.csv
      File Format: application/vnd.ms-excel
      File Size: 5618922
      Data Fingerprint: 794beb6e7aab9889a8c83c6b31ff4257
      Method Fingerprint: MD5
    • File Name: How_to_proceed_with_the_combined_database.pdf
      File Format: application/pdf
      File Size: 204501
      Data Fingerprint: 14e184a589a136b375a0351adf51b99c
      Method Fingerprint: MD5
  • Unit Type: Individual
    Number of Units: 5499
    Number of Variables: 491
    • File Name: MOVE_SD1_2017.RData
      File Format: application/x-rlang-transport
      File Size: 860110
      Data Fingerprint: 2b4bc1f6fb0c044a284201961c784129
      Method Fingerprint: MD5
  • Unit Type: Individual
    Number of Units: 3207
    Number of Variables: 496
    • File Name: MOVE_SD2_2017.RData
      File Format: application/x-rlang-transport
      File Size: 360618
      Data Fingerprint: 1629e204bd181c5d3bc3ce807c29ad5a
      Method Fingerprint: MD5
  • Unit Type: Individual
    Number of Units: 8706
    Number of Variables: 496
    • File Name: MOVE_SD3_2017.RData
      File Format: application/x-rlang-transport
      File Size: 879579
      Data Fingerprint: 649aa55ff98d000e2fbeaa003ae3be9a
      Method Fingerprint: MD5
    • File Name: MOVE_D.4.4_SUF_Codebook.pdf
      File Format: application/pdf
      File Size: 4000777
      Data Fingerprint: 8e1ed390d48d785d5de8ececf4bc134a
      Method Fingerprint: MD5
    • File Name: Panel_questionnaire_updated_2018.pdf
      File Format: application/pdf
      File Size: 359855
      Data Fingerprint: f4436d9d21e6056f4da799e3b9238ccc
      Method Fingerprint: MD5
    • File Name: Snowball_questionnaire_updated_2018.pdf
      File Format: application/pdf
      File Size: 344362
      Data Fingerprint: ca9e07b72fb7604a3744f6389c737e32
      Method Fingerprint: MD5
Availability
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Embargo (maximal 1 year)
Rights
CC BY-NC-SA 4.0

Update Metadata: 2019-10-01 | Issue Number: 2 | Registration Date: 2018-05-02

Navarrete Moreno, Lorenzo (2018): MOVE: Mapping mobility - pathways, institutions and structural effects of youth mobility Datasets. Version: 1. GESIS Datenarchiv. Dataset. https://doi.org/10.7802/1636