PowerPoint-Pr

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A Dynamic and Multidimensional Model of
IntegrationBuilding on Longitudinal Quantitative
and Qualitative Data on Migrants in
Vienna Barbara Herzog-Punzenberger (Austrian
Academy of Sciences) Rossalina
Latcheva (Institute for Advanced Studies,
Vienna) IMISCOE Workshop C8, September 10th,
2008, Bilbao
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Point of departure (1)Theoretical challenges

• Migrants, ethno-national groups and receiving
  societies treated as homogenous entities
• Integration as a
• contested
• one-dimensional
• dichotomous
• static
• unidirectional linear
• decontextualized
• non-relational and non-interactive concept, often
  without explicit longitudinal perspective

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Point of departure (2) Methodological challenges

• For decades
• No data on naturalized persons
• No longitudinal data on migrants
• Small samples
• No systematic integration of quantitative and
  qualitative approaches in research design and
  analysis

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Implications for research and policy-making

• primarily descriptive, non-longitudinal and
  one-sided research
• Impossibility to control for intervening
  variables such as gender, age, generation, year
  of arrival country of origin, (year of)
  naturalization,
• which
• leads to invalid and not sufficiently
  differentiated comparisons between and within
  social categories
• imposes homogeneity on both, dependent and
  independent variables
• leads to uncertain and spurious causal
  inferences,
• gtgt that often legitimise political
  interventions

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An attempt to meet the challenges LIMITS and
SIM projects

• Combining quantitative and qualitative approaches
  using method triangulation with connected
  samples
• 2) Integrating objective and subjective
  perspective in the assessment of migration and
  integration processes analysing the intersection
  between migrants own perceptions and
  interpretations on the one side and the objective
  traces of their biographies on the other
• 3) Conducting a variety of multivariate and
  content analysis (event history, optimal
  matching, multidimensional scaling, cluster
  analysis, content analysis across cases) and a
  systematic triangulation of findings
• 4) Developing a dynamic multidimensional model
  for explaining the interdependency of time and
  context within the individual migration
  biography, which allows for flexibility by
  grasping complexity

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Data

• LIMITS (2003-2006) Quantitative information
  gathered on long-term residents in Vienna from
  Turkey and Serbia (n601)
• Event histories (via calendar tool) of their
• migration,
• education and employment,
• family formation,
• housing,
• social networks
• language acquisition (attained courses and
  self-assessment)
• Cross-sectional information on
• income, pre-migration and citizenship acquisition
• SIM (2006) Qualitative information from 30
  in-depth interviews
• sampled on the basis of the produced trajectory
  clusters from the optimal matching analysis

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Results

• Optimal matching
• analysis of labour market participation over time
  (analysing the differences (distances) between
  pairs of individual trajectories)
• Multidimensional scaling cluster analysis
• obtaining 5 different types (clusters) of labour
  market participation over time (1. fully
  employed, 2.difficult beginning then full
  employment, 3. discontinous employment biography,
  4.transition from education to full employment,
  5. outside the labour market)
• Selection criteria for in-depth interviews
• cluster, ethnicity, gender, proficiency in German
• Assessing the Individual Migration Project A
  Dynamic and Multidimensional Model

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Discussion

• The dynamic of the model results from
• the interdependency of the different dimensions
  (within and between phases)
• the different composition of the relevant
  dimensions within phases and life cycles
• Next steps validation of the model
• other groups of origin,
• other types of migrants (refugees, transnational
  migrants,)
• other national contexts

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Does the model meet the challenges?

• heterogeneity between and within groups depending
  on time of arrival, gender, generation
• multidimensional with at least 4 dimensions
• grades and shades
• dynamic interdependency of phases and dimensions
  (longitudinal data)
• framed by changing conditions of the receiving
  society

• homogeneity
• unidimensional
• dichotomous
• static
• decontextualized

Grasping complexity through systematic
integration of quantitative and qualitative
approaches in study design and analysis
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Thank you for your attention and critical remarks!

• Contact
• Rossalina Latcheva
• latcheva_at_ihs.ac.at
• Barbara Herzog-Punzenberger
• barbara.herzog-punzenberger_at_oeaw.ac.at