Understanding Infidelity Forgiveness: An Application of Implicit Theories of Relationships

2020 ◽  
Vol 11 ◽  
Author(s):  
Ashley E. Thompson ◽  
Dallas Capesius ◽  
Danica Kulibert ◽  
Randi A. Doyle
Keyword(s):  
Causal Relationship ◽  
Implicit Theories ◽  
Attachment Insecurity ◽  
The Relationship ◽  
Implicit Theories Of Relationships

Abstract Two studies were conducted to identify variables associated with hypothetical infidelity forgiveness and promote forgiveness by manipulating implicit theories of relationships (ITRs; destiny/growth beliefs). Study 1 assessed the relationship between the type of behaviour, sex of the forgiver, ITRs and infidelity forgiveness. Study 2 investigated the causal relationship between ITRs and infidelity forgiveness (including attachment insecurity as a moderator). Results revealed that male participants forgave a partner's infidelity to a greater extent than female participants and that solitary behaviours were rated as most forgivable, followed by emotional/affectionate and technology/online behaviours, and sexual/explicit behaviours as least forgivable. Male participants (not female participants) induced to endorse growth beliefs forgave a partner's emotional/affectionate and solitary infidelity to a greater extent than those induced to endorse destiny beliefs; attachment insecurity moderated this relationship. These results have important implications for researchers and practitioners working with couples in distress.

Implicit Theories of Relationships and Conflict Communication Patterns in Romantic Relationships: A Dyadic Perspective

2018 ◽  
Vol 9 ◽  
Author(s):  
Taylor Dovala ◽  
Matt Hawrilenko ◽  
James V. Cordova
Keyword(s):  
Romantic Relationships ◽  
Current Literature ◽  
Implicit Theories ◽  
Communication Patterns ◽  
Dyadic Interaction ◽  
Interaction Patterns ◽  
Conflict Communication ◽  
The Relationship ◽  
Demand Withdraw ◽  
Implicit Theories Of Relationships

The present study examined the relationship between dyadic interaction patterns and implicit theories of relationships (ITRs; deeply held beliefs about the nature of relationships) using a sample of N = 104 couples. We hypothesised that destiny beliefs would predict greater avoidance in conflict interactions, while growth beliefs would predict more constructive communication. Surprisingly, the results of the current study challenge the existing literature by indicating that neither destiny nor growth beliefs predict constructive communication or mutual avoidance for the couple. Further, while destiny beliefs were related to increased withdrawal in a demand-withdraw pattern, growth beliefs related to both demand and withdraw in a demand-withdraw pattern. These findings suggest that assessing the relationship between ITRs and communication patterns at the couple level introduces complexity that is underexplored in the current literature on implicit theories of relationships.

Implicit Theories of Relationships and Close Relationship Violence

2013 ◽  
Vol 39 (3) ◽  
pp. 279-290 ◽  
Author(s):  
Rebecca A. Cobb ◽  
C. Nathan DeWall ◽  
Nathaniel M. Lambert ◽  
Frank D. Fincham
Keyword(s):  
Close Relationships ◽  
Implicit Theories ◽  
Current Work ◽  
Relationship Violence ◽  
Cross Sectional ◽  
Self Interest ◽  
Close Relationship ◽  
The Relationship ◽  
Implicit Theories Of Relationships

People differ in what they think makes for a successful relationship, but it is unclear how these beliefs relate to the perpetration of violence. Four studies ( N = 2,591) examined the relationship between growth beliefs and the perpetration of violence in close relationships. Specifically, the current work tested the hypothesis that growth beliefs mitigate against close relationship violence, possibly due to increased satisfaction with sacrificing one’s own self-interest for the betterment of the relationship. Studies 1 and 2 provided cross-sectional and longitudinal evidence that growth beliefs predicted less perpetration of close relationship violence. Studies 3 and 4 showed that the relationship between growth beliefs and lower perpetration of violence was mediated by satisfaction with sacrifice within one’s relationship. All effects of growth beliefs remained significant after controlling for destiny beliefs. Discussion centers on the importance of implicit theories of relationships for understanding the perpetration of violence in close relationships.

The causal relationship between envy and depression: A cross-lagged regression analysis

2020 ◽  
Vol 48 (12) ◽  
pp. 1-9
Author(s):  
Xinsheng Jiang ◽  
Jinyu Wang
Keyword(s):  
Regression Analysis ◽  
Social Comparison ◽  
Causal Relationship ◽  
Undergraduate Students ◽  
Gender Effect ◽  
Comparison Theory ◽  
Treatment Of Depression ◽  
Nonclinical Sample ◽  
Upward Social Comparison ◽  
The Relationship

The causal relationship between envy and depression is currently far from clear. We conducted a cross-lagged regression analysis of data on envy and depression, obtained from a nonclinical sample of 260 undergraduate students at two time points spaced 14 months apart. From the perspective of social comparison theory, the results show that although after 14 months envy positively predicted depression, depression did not predict envy. The envy–depression relationship is, thus, a unidirectional causality. In addition, there was no overall gender effect on the relationship between envy and depression. Our finding of the effect of upward social comparison on the envy–depression relationship provides guidance for the treatment of depression in clinical practice.

A guide to the nomenclature of heterochrony

1986 ◽  
Vol 60 (1) ◽  
pp. 4-13 ◽  
Author(s):  
Kenneth J. McNamara
Keyword(s):  
Twentieth Century ◽  
Causal Relationship ◽  
Fossil Record ◽  
Biogenetic Law ◽  
The Relationship

Since Haeckel's Biogenetic Law (‘ontogeny recapitulates phylogeny’) fell into disrepute early in the twentieth century, there has been intermittent debate, particularly in recent years (de Beer, 1958; Gould, 1977; Alberch et al., 1979; Alberch, 1980; Bonner, 1982; McNamara, 1982a), on the nature of the relationship between an individual's development and phylogenetic history. Important questions under discussion include the following: If a strong causal relationship does exist, what is its nature? How does it work? What is its importance in evolution? How can it be recognized in the fossil record?

scholarly journals Prediction of Urban and Rural Tourism Economic Forecast Based on Machine Learning

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Wusheng Zhou
Keyword(s):  
Time Series ◽  
Economic Development ◽  
Causal Relationship ◽  
Local Economic Development ◽  
Tourism Industry ◽  
Local Economy ◽  
Series Data ◽  
Economic Forecast ◽  
The Relationship ◽  
Tourism Revenue

With the rapid development of tourism, tourism revenue, as one of the important indicators to measure the development of the tourism economy, has high research value. The quasi-prediction of tourism revenue can drive the development of a series of related industries and accelerate the development of the domestic economy. When forecasting tourism income, it is necessary to examine the causal relationship between tourism income and local economic development. The traditional cointegration analysis method is to extract the promotion characteristics of tourism income to the local economy and construct a tourism income prediction model, but it cannot accurately describe the causal relationship between tourism income and local economic development and cannot accurately predict tourism income. We propose an optimized forecasting method of tourism revenue based on time series. This method first conducts a cointegration test on the time series data of the relationship between tourism income and local economic development, constructs a two-variable autoregressive model of tourism income and local economy, and uses the swarm intelligence method to test the causal relationship and the relationship between tourism income and local economic development, calculate the proportion of tourism industry, define the calculation result as the direct influence factor of tourism industry on the local economy, calculate the relevant effect of local tourism development and economic income, and construct tourism income optimization forecast model. The simulation results show that the model used can accurately predict tourism revenue.

scholarly journals Visual factors and dyslexia: A research review

2010 ◽  
Vol 69 (2) ◽  
Author(s):  
S. O. Wajuihian ◽  
K. S. Naidoo
Keyword(s):  
Academic Performance ◽  
Causal Relationship ◽  
Research Review ◽  
Future Research ◽  
Eye Care ◽  
Psychological Literature ◽  
Poor Academic Performance ◽  
The Relationship

Eye care professionals have long been involved with vision and learning, and receive referrals from teachers, psychologists and other professionals who seek advice about whether vision problems may contribute to, or be responsible for, poor academic performance.  This is particularly the case when dealing with the relationship between vision and dyslexia, which has been a subject of controversy in optometric, ophthalmologic, educational and psychological literature. Ophthalmologists and optometrists in particular, hold different views on the association of dyslexia and vision, and there has been much debate regarding any causal relationship between them.  The results of studies that investigated the vision functions in dyslexic populations remain inconclusive.  This review is intended to provide an overview of studies to date and makes recommendation to guide future research.  (S AfrOptom 2010 69(2) 58-68)

scholarly journals Bootstrap ARDL Test on the Relationship among Trade, FDI and CO2 Emissions: Based on the Experience of BRICS Countries

2019 ◽  
Author(s):  
Fumei He ◽  
Ke-Chiun Chang ◽  
Min Li ◽  
Xueping Li ◽  
Fangjhy Li
Keyword(s):  
Foreign Direct Investment ◽  
Causal Relationship ◽  
Co2 Emissions ◽  
Direct Investment ◽  
Export Trade ◽  
Short Term ◽  
Brics Countries ◽  
The Relationship ◽  
Cointegration Relationship

We used the Bootstrap ARDL method to test the relationship between the export trades, FDI and CO2 emissions of the BRICS countries. We found that China's foreign direct investment and the lag one period of CO2 emissions have a cointegration on exports. South Africa's foreign direct investment and CO2 emissions have a cointegration relationship with the lag one period of exports, and South Africa's the lag one period of exports and foreign direct investment have a cointegration relationship with the lag one period of CO2 emissions. But whether it is China or South Africa, these three variables have no causal relationship in the long-term. Among the variables of other BRICS countries, Russia is the only country showed degenerate case #1 in McNown et al. mentioned in their paper. When we examined short-term causality, we found that CO2 emissions and export trade showed a reverse causal relationship, while FDI and carbon emissions were not so obvious. Export trade has a positive causal relationship with FDI. Those variables are different from different situations and different countries.

scholarly journals The Impact of Social Media on Customers’ Loyalty toward Hotels in Jordan

2019 ◽  
Vol 14 (5) ◽  
pp. 123
Author(s):  
Faiz H. Zoubi ◽  
Diya Mohammad Al-Harazneh
Keyword(s):  
Social Media ◽  
Regression Analysis ◽  
Causal Relationship ◽  
Mediating Effect ◽  
Marketing Managers ◽  
The Impact ◽  
The Relationship ◽  
Hotel Customers

The present study aimed at exploring the impact of social media on customers' loyalty toward the five stars hotels located in Jordan, it also aimed at exploring the impact of satisfaction as a mediating variable on the relationship between social media and customers’ loyalty from the perspectives of customers and marketing managers. In more precise, to measure the mediating effect of satisfaction in the causal relationship between social media and customers’ loyalty toward five stars hotels. Regression analysis and correlational coefficient were used for analysis purposive of the acquired data that were collected through a self-designed questionnaire.  A sample of (200) hotel customers and (32) marketing managers was drawn from the population of the study. The major findings of the study were as follow: social media has a statistical significant effect on customer’s loyalty, and on satisfaction. Satisfaction as mediating variable has a statistical significant effect on the relationship between social media and customer’s loyalty. Furthermore; marketing managers were found to be having positive beliefs that social media has an effect on customers’ loyalty. But communication and motivation were found to be having no significant effect on customer’s loyalty.

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