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  5. Next, i computed the potential organization anywhere between this type of variables and sociocultural facts, because of the undertaking Chisquared examination

Next, i computed the potential organization anywhere between this type of variables and sociocultural facts, because of the undertaking Chisquared examination

Next, i computed the potential organization anywhere between this type of variables and sociocultural facts, because of the undertaking Chisquared examination

So you can examine our 2nd theory, we first recoded, per of the items on the status size, the brand new portion of solutions you to definitely tell you if husbands have less, equal or even more results, specifically, condition, which have hypogamy, for example husbands has actually straight down condition than wives, homogamy, definition equal position, and you may hypergamy, meaning husbands with higher standing than wives. For the potential association off nation, analyses was high within the training (X 2 =11.9; df=2; p=.003; n=.20), and you can financial perception away from a possible separation (X dos =nine.51; df=2; p=.009; n=.18). Studies indicated that, to have Foreign-language players, discover way more studies hypogamy, whereas to possess Dominican members discover much more training homogamy. About the financial factors in the event of divorce case, while there is a whole lot more homogamy getting Language professionals, there is a great deal more hypergamy to possess Dominicans (select Profile step one).

Having prior marriages or otherwise not wasn’t relevant so you’re able to differences in reputation. Concerning the potential association between standing and ages married, tall relationships had been found in fitness (X dos =14.7; df=4; p=.005; n=.16), even though getting people y exists (forty.4%, each), having lovers y exists (43.4%). This means that, into the group with an increase of age married, husbands keeps lower health status. Having students off previous failed marriages and having students off newest relationships don’t notably apply at standing.

During the sum, this new analyses towards 2nd hypothesis revealed that in contrast to our very own standards, the biggest function relevant in order to position is the country.

Univariate evaluation revealed tall variations in factor step 1 (F=5

To contrast our third hypothesis, that predict that homogamy will be associated to higher marital satisfaction for both countries, we have estimated the scores in ong the three types of status (hypogamy, homogamy, and hypergamy) for the seven items of the scale. The analyses revealed significant differences in bda=.951, F(6, 584)= 2.47; p<.05]. Univariate tests revealed significant differences in factor 2 of marital satisfaction (F=4.54; df=2; p<.05; h 2 =.01), with no significant differences by country. Post hoc comparisons revealed that hypergamy in health status have significantly smaller y situations (M=4.14, SE=0.11; and M=4.57, SE=0.10, respectively).

Also, significant differences in marital satisfaction based on education status were found [Wilks’ Lambda=.938, F(6, 584)= 3.17; p<.01]. 46; df=2; p<.01; h 2 =.03), and total scale (F=3.61; df=2; p<.05; h 2 =.XX). There were also significant differences in factor 1 by country (F=; df=1; p<.001; h 2 =.04), as well as by the interaction of status by country (F=4.90; df=2; p<.05; h 2 =.03). Post hoc comparisons revealed that hypogamic education status situations have significantly smaller ic situations (M=4.18, SE=0.11; and M=4.58, SE=0.11, respectively). In addition, hypergamy situations in Spain and Dominican Republic scored significantly higher than hypogamy situations in Spain. Homogamy situations in Dominican Republic scored significantly higher than hypogamy situations in Spain.

Eventually, hypogamy affairs in The country of spain scored rather below hypogamy affairs for the Dominican Republic

Likewise, significant differences in marital satisfaction based on economic status were found [Wilks’ Lambda=.937, F(6, 584)= 3.21; p<.01]. Univariate tests revealed significant differences in factor 1 (F=6.64; df=2; p<.01; h 2 =.04). There were also significant differences in factor 1 by country (F=; df=1; p<.001; h 2 =.03), with Dominicans scoring significantly higher than Spaniards (M=4.8, SE=.015, and M=4.34, SE=.10, respectively). Economic hypergamy was associated to significantly higher ic and hypogamic status. Spaniards with hypergamy status scored significantly higher than the other two groups from Spain. Dominicans with hypogamic status scored significantly lower than the other two groups from the same country.

Additionally, significant differences in connexion marital satisfaction based on housekeeping status were found [Wilks’ Lambda=.920, F(6, 584)= 4.12; p<.001]. Univariate tests revealed significant differences in factor 1 (F=; df=2; p<.001; h 2 =.06), and total scale (F=6.84; df=2; p=.001; h 2 =.04), without significant differences by country. Hypogamy status was associated to significantly higher y status (M=4.88, SE=.14, M=4.34, SE=.07, respectively).