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Assessing how much couples work at their relationship: the behavioral self-regulation for effective relationships scale.

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TLDR
A scale to assess relationship self-regulation was developed and it accounted for substantial variance in relationship satisfaction in both newlywed samples and in a 3rd sample of 61 long-married couples.
Abstract
It is widely believed that satisfying couple relationships require work by the partners The authors equated the concept of work to relationship self-regulation and developed a scale to assess this construct A factor analysis of the scale in a sample of 187 newlywed couples showed it comprised 2 factors of relationship strategies and effort The factor structure was replicated in an independent sample of 97 newlywed couples In both samples the scale had good internal consistency and high convergent validity between self- and partner-report forms Self-regulation accounted for substantial variance in relationship satisfaction in both newlywed samples and in a 3rd sample of 61 long-married couples The self-regulation and satisfaction association was independent of mood or self-report common method variance

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Citations
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Journal ArticleDOI

Matters of the variable heart: respiratory sinus arrhythmia response to marital interaction and associations with marital quality.

TL;DR: Resting HF-HRV was correlated with marital quality, suggesting that capacity for self-regulation is associated with adaptive functioning in close relationships, and reduced health benefit from marriage might reflect the depleting effects on self-regulatory capacity of their greater efforts to manage relationship quality.
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Benefits of Flexible Delivery Relationship Education: An Evaluation of the Couple CARE Program*

TL;DR: In this article, the authors evaluated Couple CARE, a flexible delivery relationship education program, and found that it increased relationship satisfaction and stability and increased report of relationship self-regulation, but did not have the predicted effect on communication.
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Promoting a positive transition to parenthood: a randomized clinical trial of couple relationship education.

TL;DR: CCP shows promise as a brief program that can enhance couple communication and women’s adjustment to parenthood and prevented erosion of relationship adjustment and self-regulation in women but not men from pre-intervention to follow-up.
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Forgiveness and relationship satisfaction: mediating mechanisms.

TL;DR: It is proposed that the tendency to forgive a romantic partner increases relationship satisfaction via increased relational effort and decreased negative conflict, which parallel theorized positive and negative dimensions of forgiveness and the motivational transformation that is said to underlie forgiveness.
Journal ArticleDOI

Does working at your marriage help? Couple relationship self-regulation and satisfaction in the first 4 years of marriage.

TL;DR: A multilevel analysis predicting satisfaction with SR as a time-varying covariate found that SR cross-sectionally and prospectively predicted the intercept, but it did not predict the slope, of relationship satisfaction.
References
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Book

Statistical Power Analysis for the Behavioral Sciences

TL;DR: The concepts of power analysis are discussed in this paper, where Chi-square Tests for Goodness of Fit and Contingency Tables, t-Test for Means, and Sign Test are used.
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Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives

TL;DR: In this article, the adequacy of the conventional cutoff criteria and several new alternatives for various fit indexes used to evaluate model fit in practice were examined, and the results suggest that, for the ML method, a cutoff value close to.95 for TLI, BL89, CFI, RNI, and G...
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Alternative Ways of Assessing Model Fit

TL;DR: In this paper, two types of error involved in fitting a model are considered, error of approximation and error of fit, where the first involves the fit of the model, and the second involves the model's shape.
Journal ArticleDOI

Significance tests and goodness of fit in the analysis of covariance structures

TL;DR: In this article, a general null model based on modified independence among variables is proposed to provide an additional reference point for the statistical and scientific evaluation of covariance structure models, and the importance of supplementing statistical evaluation with incremental fit indices associated with the comparison of hierarchical models.
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