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Migrants, Minorities, Belongings and Citizenship. Glocalization and ...

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2.2.6. Mobility of Bodies – Geographical Mobility<br />

The respondents were asked to respond to three items measuring their degree of<br />

mobility between (1) neighborhoods in their residence town, (2) different towns in their<br />

residence country, <strong>and</strong> (3) other countries. All the three variables were measured along<br />

an ordinal Likert-scale with categorical values from 1 to 7 (1=no mobility, 7=several<br />

times a month). In order to inspect the associations between these three types of<br />

geographical mobility, a CATPCA-procedure was used with ranking discretization.<br />

Table 8. Components of Geographical Mobility Patterns<br />

Dimension<br />

1 2<br />

Mobility between<br />

neighborhoods<br />

,889 -,303<br />

Mobility between towns ,920 -,154<br />

Mobility between countries ,465 ,884<br />

Explained variance (%) 61,78 29,88<br />

1 Variable Principal Normalization used.<br />

2. 2-dimension solution imposed.<br />

3. Ranking dicretization used.<br />

4. Total explained variance is 91,66% (rounded).<br />

As illustrated in Table 8, the CATPCA-procedure generated two dimensions, which<br />

distinguish between two types of mobility. Dimension 1 represents respondents’ general<br />

mobility level, where inter-neighborhood (local) mobility within the town of residence <strong>and</strong><br />

inter-city (domestic) mobility within the country of residence is dominant. Dimension 2,<br />

on the other h<strong>and</strong>, distinguishes between international (cross-country) <strong>and</strong><br />

local/domestic types of mobility.<br />

In Figure 9, the horizontal axis is the first dimension from the CATPCA-analysis (local <strong>and</strong><br />

domestic mobility). The perpendicular axis is the second dimension (cross-country<br />

mobility). The number of the cases in Figure 9 may seem less than the number of the<br />

cases included in the analysis. This is due to the many cases overlapping on certain<br />

coordinates. In fact, only 3 cases were excluded because of missing data. As Figure 9<br />

illustrates, there is a clear line that separates between those who are primarily mobile<br />

across countries <strong>and</strong> those who are not.<br />

78

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