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).