Example of explanatory research by mean secondary data

A referendum to limit migration from European Union countries took place on 10th February of 2014 in Switzerland. In the score of such event, Alexandre Afonso (2014) and Paul Haydon (2014) did a simple analysis of correlation between the share of migrants population per canton and the share of yes to anti-immigration initiative, based on the results of the referendum. The research question that lies beneath these analysis might be “is there a relationship between the share of migrant population in a given community and the way migration is seen by its members. Interestingly both the graphic and map bellow show that wherever there is less number of immigrants, the rejection of immigrants is greater. It is a clear example of explanatory research, where the main objective is identifying the existence between two or more variables. By the way, Swiss voters narrowly back referendum curbing immigration.

The results of this case, also arose multiples new questions on how public opinion is build. Is there a real problem with immigrants or rather certain media shape deliberately population opinion?

map refer

migrants

Reference list

Haydon, Paul (@Paul_Haydon) (2014) “Map of who voted how in Swiss referendum. Areas with fewest immigrants most anti-immigration pic.twitter.com/uZqicWyvC4” 9th of February, 2014, 6:34 PM

Foulkes, Imogen (2014, February 11). Swiss immigration: 50.3% back quotas, final results show. BBC News. Retrieved from http://www.bbc.co.uk/news/world-europe-26108597

 Afonso, Alexandre @alexandreafonso (2014) “Relationship between share of migrants per canton and share of yes to anti-immigration initiative pic.twitter.com/MEqgN6a4Ww” 9th of February, 2014, 6:31 PM

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