Exploring Relationships Among Communication, Sexual Satisfaction, and Marital Satisfaction

TL;DR: In this article, the authors examined whether there are differences in communication and its impact on the relationship and sexual satisfaction of lesbian and heterosexual women in terms of sexual orientation and words of affirmation in relation to relationship satisfaction.

TL;DR: A lack of awareness of Iranian women's sexual pleasure and formal training on sexual function and its influencing factors, such as menarche age, gravida, and level of education, may lead to a high prevalence of female sexual dysfunction.

Abstract: The aim of the studies reported in this thesis was to investigate marital satisfaction in arranged marriages in Saudi Arabia, exploring whether the predictors of marital satisfaction that were found in the West were also predictors of marital satisfaction in Saudi Arabia. Additionally, the hypothesis that marital satisfaction and love increase with the duration of marriage among arranged marriages in Saudi Arabia was tested. In order to investigate marital satisfaction in this context, the VSA-Model from Karney and Bradbury (1995) was adopted to organize the variables that affect marital satisfaction into three groups. The first group, Enduring Vulnerability, included Relationship Questionnaire (RQ), Experience in Close Relationships-Revised (ECR-R), Inclusion of Others in the Self (lOS), Love, Sexual Satisfaction, and the Big Five scales. The second group, Stressful Events, included Attitude towards Family-in-Law, Stressful Events, and Arguments scales. The third group of predictors in the VSA Model was Adaptive Processes and consisted of the Conflict Behaviour Scale (CBS), Power, and Decision Making scales. The criterion validity was assessed using Relationship Assessment Scale and Satisfaction with Life Scale. Three studies were conducted and a total of 549 people (246 husbands, 303 wives) were recruited. Participants were chosen from private hospitals, shopping malls, banks, government schools, through friends, and from King Fahad Medical City. All scales were translated from English to Arabic. After translation, scale reliability was examined, and principle components analyses were conducted to examine the factor structure of each translated scale. Some predictors of marital satisfaction differed across husbands and wives. For wives, the Stressful Events scale predicted lower marital satisfaction and their ratings of their partners' PB (measured on a new subscale found through principle components analysis of scales included in this study) higher marital satisfaction. For husbands, Dismissing attachment style predicted negative marital satisfaction, and high ratings of Extraversion predicted positive marital satisfaction.

TL;DR: It has been proposed that women's sexual behaviors and attitudes are more likely to change due to factors such as satisfaction with married life as mentioned in this paper. This suggests a relationship between marital and se...

Abstract: Contents: Preface. Introduction. Bivariate Correlation and Regression. Multiple Regression/Correlation With Two or More Independent Variables. Data Visualization, Exploration, and Assumption Checking: Diagnosing and Solving Regression Problems I. Data-Analytic Strategies Using Multiple Regression/Correlation. Quantitative Scales, Curvilinear Relationships, and Transformations. Interactions Among Continuous Variables. Categorical or Nominal Independent Variables. Interactions With Categorical Variables. Outliers and Multicollinearity: Diagnosing and Solving Regression Problems II. Missing Data. Multiple Regression/Correlation and Causal Models. Alternative Regression Models: Logistic, Poisson Regression, and the Generalized Linear Model. Random Coefficient Regression and Multilevel Models. Longitudinal Regression Methods. Multiple Dependent Variables: Set Correlation. Appendices: The Mathematical Basis for Multiple Regression/Correlation and Identification of the Inverse Matrix Elements. Determination of the Inverse Matrix and Applications Thereof.

TL;DR: In this article, multiple regression is used to test and interpret multiple regression interactions in the context of multiple-agent networks. But it is not suitable for single-agent systems, as discussed in this paper.

TL;DR: The Dyadic Adjustment Scale as discussed by the authors is a measure for assessing the quality of marriage and other similar dyads, which is designed for use with either married or unmarried cohabiting couples.