In the 1st, the partnership between PCM and NCM is actually examined plus it is actually found that PCM ( Meters = ; DP = ) correlates adversely towards the NCM ( Yards = ; DP = ); p =
Mention. PCM = Determination to possess positive childbearing; NCM = Desire getting bad childbearing; Mann-Whitney “U”; PSest = Probability of quality index.
PCM levels presented zero differences between people that were matchmaking and you can people that was partnered or in a stable partnership ( You = 29; p =
Statistically significant differences with small effect sizes were found in PCM in three categories tested: occupation ( U = 37; p = omegle/com .035; PS est = .47), presence/absence of partner ( U = 10; p = .000; PS est = .29) and presence/absence of children ( U = 21; p = .002; PS est = .44). It was observed that the participants who were unemployed ( Mdn = ), who had one or more children ( Mdn = ) and who were in a relationship ( Mdn = ); had significantly higher levels of PCM than people who worked ( Mdn = ), who had no children ( Mdn = ) and who did not have a relationship ( Mdn = ).
On the other hand, NCM indicated statistically significant differences with small effect sizes related to sex ( U = 19; p = .000; PS est = .43) and the presence/absence of children ( U = 10; p = .000; PS est = .34). It was observed that both women ( Mdn = ) as for the participants who do not have children ( Mdn = ) have significantly higher levels of NCM than men ( Mdn = ) and participants with children ( Mdn = ).
Based on the results obtained in the comparison between people who are or are not in a stable relationship, we tested the possible differences in PCM according to the type of relationship using the Kruskal Wallis test. 000). Mann-Whitney tests were used to follow up on this finding. A Bonferroni correction was applied and all effects were tested at the .02 level. 039; PS est = .47). However, statistically significant differences were found in PCM levels between married and in a stable union ( U = 5; p = .000; PS est = .41), of which married people ( Mdn = ) had higher levels of PCM when compared to people who were in a stable union ( Mdn = ).
A few Spearman correlations were conducted. 000; r = -.494; roentgen 2 = .twenty-four. About next study the fresh relationship ranging from PCM, NCM and 16 personal and contextual parameters was in fact checked and can be seen within the Table dos. Poor associations had been receive both positive and negative ranging from PCM or NCM and you will 12 of details examined. Especially the fresh new sociodemographic parameters: “number of sisters” and you may “beginning buy” and the identification facts: “conscientiousness” and you can “visibility to experience” demonstrated no high correlations having PCM and you can NCM.
Considering the correlations discover, two multiple regressions was indeed did knowing and this variables will be regarded as predictor variables away from PCM and you will NCM in the present test (Table step 3).
New models exhibited in Desk step three was mathematically significant and you can informed me 24% of one’s total variance of PCM and ten% out of NCM. 7 of the 14 variables analyzed shown themselves due to the fact tall predictors out-of PCM. The brand new details: religiosity, that have or not which have youngsters, and you can many years demonstrated healthier matchmaking with PCM, obtaining coefficients away from ? = .thirty-two, ? = -.22 and you may ? = .17, respectively. About your NCM, only four of your own several variables interviewed showed themselves because predictor variables. The brand new variables having or not which have pupils (? = .17), decades (? = .14), religiosity (? = -.12) and intercourse (? = .10) showed stronger dating for the NCM.