Increasing Validity by Recombining Existing Indices: MIPEX as a Measure of Citizenship Models

Ruedin, D. (2015), Increasing Validity by Recombining Existing Indices: MIPEX as a Measure of Citizenship Models. Social Science Quarterly, 96: 629–638. doi: 10.1111/ssqu.12162

Abstract

Objective
Researchers often reuse existing data and indices even in cases where theory demands different measures. Here, I argue that with little additional effort, it is possible to increase the validity of research by recombining individual indicators of existing indices.

Methods
This approach is demonstrated by using data from the widely used Migration Integration Policy Index (MIPEX), recombining some of the 148 indicators to approximate Koopmans et al.'s (2005) two-dimensional conception of citizenship models.

Results
The recombined MIPEX data match the desired conception of citizenship models and can be applied to all countries covered in the MIPEX. For the first time theoretically predicted ethnic-pluralistic citizenship models (segregationism) are observed.

Conclusion
The approach presented can be applied to different data and research questions, leading to research making use of more appropriate data that match specific research rather than relying on what is readily available—thus increasing validity.

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New results of MIPEX
(2014-2020)

We are pleased to announce that the new results of MIPEX (2014-2020) will be published by the end of 2020. MIPEX 2020 will include 52 European and non-European countries: Australia, Brazil, Canada, China, EU28, India, Japan, Mexico, US and much more. Stay tuned!