Sentences with phrase «marital quality reported»

All models included gender, education, years married, race, age, and the negative marital quality reported by the actor in Wave 1 as covariates.

Not exact matches

The research reported here used measures of marital success based on both marital survival and marital quality to assess how well first marriages entered at relatively late ages fare in comparison with those entered younger.
The differences among family members in reports of relationship quality were similar after controlling for marital status.
Two separate moderated regression models were tested for each indicator of quality of life using the SPSS 17.0 statistical software package; one model tested the moderating role of marital quality in the effects of self - reported (subjective) vision controlling for visual acuity (objective vision) and the second tested the same in the effects of objective vision controlling for subjective vision.
Results for Steps 1 and 2 are identical for the models testing moderation of marital quality for the effects of self - reported vision and visual acuity.
The results for Step 1 (examining the role of sociodemographic variables) and Step 2 (examining the direct role of the vision and marital quality variables) were identical across the models focusing on self - reported vision and visual acuity; the results for Step 3 (the test of moderation) varied across these models.
It presents the findings separately for the moderating role of marital quality in the effects of self - reported vision and visual acuity.
Step 3A presents the results for the test of marital quality as a moderator of the effects of poorer self - reported vision.
It's possible that those who seek love online differ from those who find their partners offline in terms of their personalities, chronic levels of stress, or communication styles — none of which were assessed in the current study, and all of which are linked to later marital quality.2, 3,4 It is also conceivable that those who look for their life partners online are simply more motivated to find that special someone, 5 and this motivation may translate into more positive marital outcomes down the line (or at least the motivation to report more positive outcomes).
In addition to knowing each set of twins» genetic overlap (identical = more, fraternal = less), the researchers focused on individual twins» reports of marital satisfaction (a general measure of the quality of their marriages) and self - reported health that asks participants to indicate their overall health, from «the worst possible» to «the best possible» health.
Indeed, individuals in arranged marriages tend to enjoy love and satisfaction levels that are comparable to those in love - based marriages.4, 5 Considering that marital quality typically declines over time in love - based marriages6 and that individuals generally report low levels of love during the early stages of arranged marriages, 7 it seems that those in arranged marriages often learn to cherish their partners over time.
Furthermore, Study 2 revealed that collectivists reported greater parental influence on their mate choice and, in turn, reported a smaller gap between their marital mate preferences and their perceptions of their parents» preferences for a mate with qualities characterizing status - resources.
On the other hand, the results in Study 2 indicated that participants from collectivistic backgrounds reported greater family allocentrism and, in turn, reported a smaller gap between their marital mate preferences and their perceptions of their parents» preferences for a mate with qualities signifying warmth and trustworthiness.
Consistent with many studies (Carroll & Doherty, 2003; Fawcett, Hawkins, Blanchard, & Carroll, 2010; Stanley, Amato, Johnson, & Markman, 2006), those who reported having taken part in such services had higher marital quality than those who didn't.
To illustrate findings throughout the report, we use bar charts in which we define high - quality marriages as those that score in the top 40 percent on a measure of overall marital quality.
In this study, those who lived with their eventual spouse before having a mutual and clear commitment to marry reported lower levels of marital quality than those who waited until after planning marriage or getting married to move in together.
We found that when one partner perceived his or her commitment as being stronger than the other partner's before marriage, he or she later reported lower marital quality than those who did not perceive such a difference in commitment.
As Figure 7 illustrates, only 34 percent of those who reported aggression in their history with the person they married reached the top 40 percent of marital quality, whereas 46 percent of those who reported never experiencing aggression in their relationship reached the same level.
Men and women who only slept with their (future) spouse prior to marriage reported higher marital quality than those who had other sexual partners as well.
In this sample, couples with risk factors for lower marital quality (e.g., certain socio - demographic risk factors) were the least likely to report having used premarital education.
To facilitate a visual representation of the associations in this report, we illustrate key findings by graphing the percentage of individuals who fall in the top 40 percent of marital quality.
Those who scored 19 or above were in the top 40 percent of marital quality and categorized in the «higherquality marriages» group for all figures in this report.
Figure 3 illustrates this finding, showing that 36 percent of individuals whose relationship with their spouse began as a hook - up reached the top 40 percent of marital quality, versus 42 percent of those who did not report their relationship beginning this way.
Those who reported having experienced physical aggression in their relationship prior to marriage reported lower marital quality later on.
Couple Premarital Behavior and Dynamics We examined 14 behaviors and dynamics related to the focal relationship as predictors of marital quality: age at marriage, length of relationship before marriage, whether the couple had a child or were pregnant together before marriage, whether they began their relationship with hooking up, whether the respondent had sexual relations with someone else while dating his / her future spouse or knew that his / her partner had, whether the respondent reported any physical aggression in the relationship before marriage, whether the couple cohabited before making a mutual commitment to marry, the degree to which the respondent reported sliding into living together vs. deciding to do so, whether the respondent perceived that he or she was more or less committed than the partner before marriage, whether the couple received premarital education, and whether the couple had a wedding, as well as how many people attended the wedding.
Figure 6 illustrates this finding, showing that 32 percent of those who did not have premarital preparation reported marital quality in the top 40 percent, versus 57 percent of those who did take part in premarital preparation.
Dichotomizing marital quality in this way provides a means to display groups» relative likelihood of reporting higher levels of marital quality.
Those who did reported higher marital quality than those who did not.
In the report, before - and after - marriage data from an average of nine waves and multilevel modeling were used to prospectively estimate how premarital characteristics are related to marital quality.
Specifically, older age at marriage, having a child or being pregnant together, beginning the relationship with hooking up, reporting that one's partner had sexual relations with someone else, reporting any physical aggression while dating, living together before reaching a mutual commitment to marriage, and the respondent's perception that he / she was more committed to the relationship than the partner were each associated with lower marital quality.
Moreover, they reported more positive maternal coparenting (i.e., more support and joint family management) when their infant was highly reactive and they considered the quality of their prenatal marital relationship to be high.
In addition to self - reported marital satisfaction and quality, anxiety disorders are also associated with more divorce.
In this study, fathers reported more negative maternal coparenting (i.e., less support and joint family management) when they rated their infant as highly reactive and when they considered the quality of their prenatal marital relationship to be low.
The findings reported earlier held with marital quality and subjective health included in the model.
In contrast to earlier reports of positive associations between shared goals and marital satisfaction (Hwang, 2004; Kaplan & Maddux, 2002), our measure of shared selves was not significantly related to marital quality, which may be because our measure is less influenced by perceptions of relationship quality.
Yet, contrary to past findings, we find that respondents in age heterogamous unions report higher marital quality than their peers in age homogamous unions, regardless of the outcome of their marital status.
The researchers wrote that «marriages in which both spouses reported low materialism were better off on several features of marital quality, when compared to couples where one or both spouses reported high materialism».
In 2006, half of the sample was randomly selected to report on marital quality.
Married participants (N = 4864) from the Health and Retirement Study reported on alcohol consumption (whether they drink alcohol and average amount consumed per week) and negative marital quality (e.g., criticism and demands) across two waves (Wave 1 2006/2008 and Wave 2 2010/2012).
In fact, although several studies reported the presence of associations between marital quality and parenting (Erel and Burman, 1995) the nature of these associations was not always clear (Grych, 2002).
Wives who drank alcohol and had husbands who also drank reported decreased negative marital quality over time.
Next, in order to assess whether drinking status had implications for negative marital quality beyond the amount of alcohol consumed, we estimated identical models with drinking status as well as the average number of drinks per week reported by both members of the couple as predictors of Wave 2 negative marital quality, controlling for negative marital quality in Wave 1.
Also, wives» AUD status was more highly associated with both husbands» and wifes» reports of marital quality than husband's AUD.
We used multi-level modeling to examine associations between cognitive egalitarianism, behavioral egalitarianism, and marital quality with a specific focus on discrepancies in the reports of husbands and wives.
The analytic sample included 4,864 married individuals (in 2,767 couples) who had complete data on all predictors (own and spouse reports of alcohol use and negative quality in Wave 1) and covariates for Wave 1, as well as their own reports of negative marital quality in Wave 2.
Children's behavioral / emotional problems were assessed when children were aged 47 and 81 months; marital quality, maternal depression, socioeconomic circumstances, and demographic variables were assessed prior to the separation from maternal report.
Tests of the simple slopes revealed that actor drinking was associated with significant decreases in negative marital quality when their partners also reported drinking (b = − 0.03, p <.01).
At the beginning of the course each mother was given a battery of self - report questionnaires to fill in at home, aimed at investigating socio - demographic information, maternal psychological well being, marital relationships and perceived social support (see the section Quality of Mother — Child Interactions during Massage Lessons).
Wives who reported drinking alcohol reported decreased negative marital quality over time when husbands also reported drinking and increased negative marital quality over time when husbands reported not drinking.
Predicted negative marital quality for wives in Wave 2 as a function of wifes» and husbands» reports of ever drinking in Wave 1 (controlling for all covariates).
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