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

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procedure that seeks parsimony by reducing the number of variables to a fewer number<br />

of dimensions. The resultant dimensions are orthogonal – i.e. uncorrelated with each<br />

other -- <strong>and</strong> they are based on (1) the correlations between the variables (variableprincipal)<br />

or (2) the proximity of the cases to each other (object-principal), or (3) both<br />

(symmetric). Differently from the PCA, the CATPCA procedure quantifies the nominal or<br />

ordinal variables by using several optional quantification methods. The solution is nonlinear.<br />

Unlike the PCA, the CATPCA-procedure does not require that the data set<br />

comprise fewer variables than cases.<br />

In this study, all the belonging-variables are coded as ordinal variables along a 5-point<br />

Likert scale with values from 1 to 5 (1=extremely low identification <strong>and</strong> 5=extremely<br />

high identification with the item) <strong>and</strong> the subsequent analyses are based on<br />

measurement along the 5-point Likert scale. In this specific CATPCA analysis, ranking<br />

discretization has been used since all the variables have ordinal level of measurement.<br />

This means that the original cases’ values have been quantified on each variable; <strong>and</strong><br />

these quantifications of their rank orders were used as the case values in the principal<br />

components analysis.<br />

Table 6. Components of Multidimensional <strong>Belongings</strong><br />

Belonging<br />

Dimension<br />

1 2 3 4 5<br />

Religious ,492 ,475 -,042 -,347 ,119<br />

Ethnic -,309 ,763 ,146 ,410 -,168<br />

Territorial ,189 ,483 -,373 ,059 ,674<br />

Political -,392 -,205 ,014 ,755 ,156<br />

Gender ,710 -,293 -,305 ,366 ,031<br />

Sexual ,702 -,067 -,486 ,348 ,004<br />

National ,693 ,489 ,164 -,098 ,075<br />

Transnational ,042 ,734 ,490 ,279 -,096<br />

Global ,597 -,409 ,570 ,084 ,042<br />

Individual ,630 -,209 ,627 ,108 -,016<br />

European -,381 -,238 ,447 -,040 ,695<br />

Explained<br />

variance (%)<br />

26,40 20,17 15,24 11,13 9,30<br />

68

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