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Journal articles on the topic 'Marital interaction'

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Author: Grafiati

Published: 4 June 2021

Last updated: 19 February 2022

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1

Gottman, John M., and Janice L. Driver. "Dysfunctional Marital Conflict and Everyday Marital Interaction." Journal of Divorce & Remarriage 43, no. 3-4 (August 25, 2005): 63–77. http://dx.doi.org/10.1300/j087v43n03_04.

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2

Rosen-Grandon, Jane R., Jane E. Myers, and John A. Hattie. "The Relationship Between Marital Characteristics, Marital Interaction Processes, and Marital Satisfaction." Journal of Counseling & Development 82, no. 1 (January 2004): 58–68. http://dx.doi.org/10.1002/j.1556-6678.2004.tb00286.x.

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3

Schmaling, Karen B., and Neil S. Jacobson. "Marital interaction and depression." Journal of Abnormal Psychology 99, no. 3 (1990): 229–36. http://dx.doi.org/10.1037/0021-843x.99.3.229.

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4

Karney, Benjamin R., and Thomas N. Bradbury. "Neuroticism, marital interaction, and the trajectory of marital satisfaction." Journal of Personality and Social Psychology 72, no. 5 (1997): 1075–92. http://dx.doi.org/10.1037/0022-3514.72.5.1075.

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5

Doumas, Diana M., Gayla Margolin, and Richard S. John. "The Relationship Between Daily Marital Interaction, Work, and Health-Promoting Behaviors in Dual-Earner Couples." Journal of Family Issues 24, no. 1 (January 2003): 3–20. http://dx.doi.org/10.1177/0192513x02238518.

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This article examines the spillover and crossover patterns between an individual’s daily work experiences and health-promoting behaviors and daily marital interaction in 49 dual-earner couples. Husbands and wives separately completed daily diaries that included questions about work experiences, health-promoting behaviors, and marital interactions over 42 consecutive days. Pooled time series regression analyses were performed to examine transmission patterns between daily individual experiences and marital interaction. Spillover patterns were demonstrated from both individual experiences to marital interaction the same day and from marital interaction to individual experiences the next day. In general, spouses reported more positive marital interaction on days when they worked less, felt more energetic, ate more, and relaxed more. Spouses also reported working, eating, and relaxing more on days after husbands’ negative marital interaction was reported. Patterns of spillover also differed for husbands and wives, suggesting that wives may be more reactive to their husbands’ experiences and behaviors than vice versa.

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6

Beelmann, Wolfgang, and Ulrich Schmidt-Denter. "Mother-Child Interaction Following Marital Separation." European Psychologist 14, no. 4 (January 2009): 307–19. http://dx.doi.org/10.1027/1016-9040.14.4.307.

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This study used longitudinal observation data to examine the child-mother relationship after marital separation. Mother-child interaction in 60 separated families was videographed in standardized situations at three measurement times (10, 25, and 40 months following separation) and compared with data from a cross-sectional observation of 60 matched complete families. At the first measurement, children were aged 4–10 years, and 57% were male. Trained raters used 12 categories to evaluate the interaction behavior of mothers and children. Multivariate analyses of variance (general linear model) were used to assess relations between mother-child interaction and family structure (separated vs. complete), child’s age, child’s gender, and time of measurement. Results showed that interactions in separated families differed from those in complete families with clear signs of strain in the mothers during early phases following marital separation. Regression analyses showed how specific maternal behaviors clearly related to changes in the interaction behavior of their child. It is concluded that the findings provide a differentiated insight into child interaction behavior following parental separation, particularly during the early phase.

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7

Petronio, Sandra, and Patricia Noller. "Nonverbal Communication and Marital Interaction." Contemporary Sociology 15, no. 3 (May 1986): 417. http://dx.doi.org/10.2307/2070046.

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8

Gottman, John M., and Clifford I. Notarius. "Decade Review: Observing Marital Interaction." Journal of Marriage and Family 62, no. 4 (November 2000): 927–47. http://dx.doi.org/10.1111/j.1741-3737.2000.00927.x.

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9

Dillard, James P., and Mary Anne Fitzpatrick. "Compliance-Gaining in Marital Interaction." Personality and Social Psychology Bulletin 11, no. 4 (December 1985): 419–33. http://dx.doi.org/10.1177/0146167285114008.

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10

Shtasel, Thelma F. "Marital interaction: Analysis and modification." Journal of Behavior Therapy and Experimental Psychiatry 16, no. 3 (September 1985): 280. http://dx.doi.org/10.1016/0005-7916(85)90080-1.

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11

Wilson, Stephanie J., Lynn M. Martire, and Ruixue Zhaoyang. "Couples’ day-to-day pain concordance and marital interaction quality." Journal of Social and Personal Relationships 36, no. 3 (January 21, 2018): 1023–40. http://dx.doi.org/10.1177/0265407517752541.

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Chronic pain is a common stressor in couples’ daily lives, but little is known about couples’ day-to-day pain concordance (i.e., agreement regarding one partner’s level of pain) and its relevance to both partners’ daily marital interaction quality. Using 22-day diaries of patients diagnosed with knee osteoarthritis (OA) and their spouses, the current study sought to quantify the degree of daily fluctuation in both partners’ reports of patient pain, pain concordance, and marital interaction quality as well as assess the links between daily concordance and marital tension and enjoyment. Half of the variability in patient–spouse pain concordance and marital interaction quality was attributable to daily fluctuations in these experiences. Furthermore, after accounting for global marital satisfaction, on days when spouses overestimated pain, patients enjoyed marital interactions more, whereas spouses themselves experienced greater tension. Findings underscore the importance of examining pain concordance at the daily level, pain agreement’s significance for everyday marital function, and the potential challenge chronic illness poses for partners in daily life.

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12

Fehm-Wolfsdorf, Gabriele, Thomas Groth, Andrea Kaiser, and Kurt Hahlweg. "Cortisol responses to marital conflict depend on marital interaction quality." International Journal of Behavioral Medicine 6, no. 3 (September 1999): 207–27. http://dx.doi.org/10.1207/s15327558ijbm0603_1.

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13

Smolen, Robert C., David A. Spiegel, and Christopher J. Martin. "Patterns of marital interaction associated with marital dissatisfaction and depression." Journal of Behavior Therapy and Experimental Psychiatry 17, no. 4 (December 1986): 261–66. http://dx.doi.org/10.1016/0005-7916(86)90061-3.

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14

Matthews, Lisa S., K. A. S. Wickrama, and Rand D. Conger. "Predicting Marital Instability from Spouse and Observer Reports of Marital Interaction." Journal of Marriage and the Family 58, no. 3 (August 1996): 641. http://dx.doi.org/10.2307/353725.

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15

Rosenfeld, Lawrence B., and Gary L. Bowen. "Marital disclosure and marital satisfaction: Direct‐effect versus interaction‐effect models." Western Journal of Speech Communication 55, no. 1 (April 1991): 69–84. http://dx.doi.org/10.1080/10570319109374371.

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16

Williamson, Robin N., and Mary Anne Fitzpatrick. "Two approaches to marital interaction: Relational control patterns in marital types." Communication Monographs 52, no. 3 (September 1985): 236–52. http://dx.doi.org/10.1080/03637758509376108.

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17

Cook, Julian, Rebecca Tyson, Jane White, Regina Rushe, John Gottman, and James Murray. "Mathematics of marital conflict: Qualitative dynamic mathematical modeling of marital interaction." Journal of Family Psychology 9, no. 2 (1995): 110–30. http://dx.doi.org/10.1037/0893-3200.9.2.110.

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18

Bradbury, Thomas N., and Frank D. Fincham. "Attributions and behavior in marital interaction." Journal of Personality and Social Psychology 63, no. 4 (1992): 613–28. http://dx.doi.org/10.1037/0022-3514.63.4.613.

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19

Stets, Jan E. "Status and Identity in Marital Interaction." Social Psychology Quarterly 60, no. 3 (September 1997): 185. http://dx.doi.org/10.2307/2787082.

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20

Morrison, Thomas L. "Object Relations Theory and Marital Interaction." Journal of Couples Therapy 7, no. 2-3 (August 23, 1998): 33–56. http://dx.doi.org/10.1300/j036v07n02_04.

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21

Schaap, Cas, and Carmen Jansen-nawas. "Marital Interaction, Affect and Conflict Resolution." Sexual and Marital Therapy 2, no. 1 (January 1987): 35–51. http://dx.doi.org/10.1080/02674658708407736.

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22

Schafer, Robert B., Elisabeth Schafer, Martin Dunbar, and Patricia M. Keith. "Marital food interaction and dietary behavior." Social Science & Medicine 48, no. 6 (March 1999): 787–96. http://dx.doi.org/10.1016/s0277-9536(98)00377-3.

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23

Cundiff, Jenny M., Timothy W. Smith, Jonathan Butner, Kenneth L. Critchfield, and Jill Nealey-Moore. "Affiliation and Control in Marital Interaction." Personality and Social Psychology Bulletin 41, no. 1 (November 3, 2014): 35–51. http://dx.doi.org/10.1177/0146167214557002.

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24

Budiharto, Widodo, Meliana Meliana, and Pingkan C.B. Rumondor. "Counselove: Marital Counseling Android-based Application to Promote Marital Satisfaction." International Journal of Electrical and Computer Engineering (IJECE) 7, no. 1 (February 1, 2017): 542. http://dx.doi.org/10.11591/ijece.v7i1.pp542-550.

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This paper presents the development of Android-based framework for improving marital satisfaction. Classic research in psychology found that stability of marriage is based on the ability to create and maintain a positive interaction ratio five times more than negative interactions. Based on that, we present Counselove, a mobile application intended to record information of daily positive behaviors (joking, showing affection) of couples who use the application. We propose a method where the apps can determine users’ marital satisfaction level and also can help users increasing their marital satisfaction based on the relationship satisfaction questionnaire and the assessment of user’s self reported behaviors to their partners using fuzzy logic. The experimental results shown the application is running well on mobile devices based on Android platform. Lastly, we provide result of in depth interview with two users. Further research and development of the Counselove apps are discussed.

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25

Yucel, Deniz. "Wives’ Employment and Marital Dissolution: Consideration of Gender Ideology and Marital Interaction." Sociology Mind 02, no. 02 (2012): 213–22. http://dx.doi.org/10.4236/sm.2012.22028.

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26

Henderson, Debra A. "Racial/Ethnic Intermarried Couples and Marital Interaction: Marital Issues and Problem Solving." Sociological Focus 33, no. 4 (October 2000): 421–38. http://dx.doi.org/10.1080/00380237.2000.10571178.

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27

Schmitt, Marina, Matthias Kliegel, and Adam Shapiro. "Marital Interaction in Middle and Old Age: A Predictor of Marital Satisfaction?" International Journal of Aging and Human Development 65, no. 4 (December 2007): 283–300. http://dx.doi.org/10.2190/ag.65.4.a.

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28

MacKINNON, CAROL E. "Influences on Sibling Relations in Families with Married and Divorced Parents." Journal of Family Issues 9, no. 4 (December 1988): 469–77. http://dx.doi.org/10.1177/019251388009004003.

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Two regression analyses were performed that tested the relationships between the amount of negative sibling interaction and the amount of positive sibling interaction and measures of relationship quality and family form. When measures of husband-wife, mother-child, and father-child relationship quality were controlled, marital status was not significantly related to either measure of sibling interactions. However, when the marital status of the parents (family form) was controlled, both the quality of husband-wife relationship and the quality of mother-child relationship were positively related to positive sibling interaction and negatively related to negative sibling interaction. Regardless of family form, the quality of other relationships in the family were important predictors of sibling interactions.

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29

Thomas, Geoff, Garth J. O. Fletcher, and Craig Lange. "On-line empathic accuracy in marital interaction." Journal of Personality and Social Psychology 72, no. 4 (1997): 839–50. http://dx.doi.org/10.1037/0022-3514.72.4.839.

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30

Burns, John W., Kristina M. Post, David A. Smith, Laura S. Porter, Asokumar Buvanendran, Anne Marie Fras, and Francis J. Keefe. "Spouse criticism and hostility during marital interaction." PAIN 159, no. 1 (January 2018): 25–32. http://dx.doi.org/10.1097/j.pain.0000000000001037.

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31

Krokoff, Lowell J. "Recruiting Representative Samples for Marital Interaction Research." Journal of Social and Personal Relationships 4, no. 3 (August 1987): 317–28. http://dx.doi.org/10.1177/026540758700400305.

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32

GOTTMAN, JOHN MORDECHAI, and ROBERT WAYNE LEVENSON. "How Stable Is Marital Interaction Over Time?" Family Process 38, no. 2 (June 1999): 159–65. http://dx.doi.org/10.1111/j.1545-5300.1999.00159.x.

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33

Vanzetti, Nelly A., Clifford I. Notarius, and David NeeSmith. "Specific and generalized expectancies in marital interaction." Journal of Family Psychology 6, no. 2 (1992): 171–83. http://dx.doi.org/10.1037/0893-3200.6.2.171.

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34

KARNEY, BENJAMIN R., and BRYNNA GAUER. "Cognitive complexity and marital interaction in newlyweds." Personal Relationships 17, no. 2 (June 2010): 181–200. http://dx.doi.org/10.1111/j.1475-6811.2010.01271.x.

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35

SCHAFER, ROBERT B., ELISABETH SCHAFER, and PATRICIA M. KEITH. "STRESS IN MARITAL INTERACTION AND DIET BEHAVIOR." Stress Medicine 13, no. 3 (July 1997): 145–50. http://dx.doi.org/10.1002/(sici)1099-1700(199707)13:3<145::aid-smi731>3.0.co;2-r.

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36

Tyndall, Larry W., and James W. Lichtenberg. "SPOUSES' COGNITIVE STYLES AND MARITAL INTERACTION PATTERNS*." Journal of Marital and Family Therapy 11, no. 2 (April 1985): 193–202. http://dx.doi.org/10.1111/j.1752-0606.1985.tb00610.x.

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37

Gottman, John M., and Lowell J. Krokoff. "Marital interaction and satisfaction: A longitudinal view." Journal of Consulting and Clinical Psychology 57, no. 1 (1989): 47–52. http://dx.doi.org/10.1037/0022-006x.57.1.47.

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38

Ewart, C. K. "Marital interaction—the context for psychosomatic research." Psychosomatic Medicine 55, no. 5 (September 1993): 410–12. http://dx.doi.org/10.1097/00006842-199309000-00002.

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39

Smith, Timothy W., and Linda G. Gallo. "Hostility and Cardiovascular Reactivity During Marital Interaction." Psychosomatic Medicine 61, no. 4 (1999): 436–45. http://dx.doi.org/10.1097/00006842-199907000-00005.

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40

No authorship indicated. "Review of Nonverbal Communication and Marital Interaction." Contemporary Psychology: A Journal of Reviews 32, no. 12 (December 1987): 1044. http://dx.doi.org/10.1037/026632.

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41

Zuo, Jiping. "The Reciprocal Relationship between Marital Interaction and Marital Happiness: A Three-Wave Study." Journal of Marriage and the Family 54, no. 4 (November 1992): 870. http://dx.doi.org/10.2307/353168.

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42

Simmons, R. A., P. C. Gordon, and D. L. Chambless. "Pronouns in Marital Interaction: What Do "You" and "I" Say About Marital Health?" Psychological Science 16, no. 12 (December 1, 2005): 932–36. http://dx.doi.org/10.1111/j.1467-9280.2005.01639.x.

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43

Gottman, John, Catherine Swanson, and James Murray. "The mathematics of marital conflict: Dynamic mathematical nonlinear modeling of newlywed marital interaction." Journal of Family Psychology 13, no. 1 (1999): 3–19. http://dx.doi.org/10.1037/0893-3200.13.1.3.

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44

Heath, A. C. "The Analysis of Marital Interaction in Cross-Sectional Twin Data." Acta geneticae medicae et gemellologiae: twin research 36, no. 1 (January 1987): 41–49. http://dx.doi.org/10.1017/s0001566000004578.

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AbstractThe effects on twin data of social interaction between spouses is examined. When social interaction leads to an increase in marital resemblance (eg through reciprocal imitation), the variance of married individuals is increased, compared to the variance of unmarried individuals. Furthermore, the expected correlations between concordant married twin pairs will be lower than the expected correlations between concordant unmarried twin pairs, with the discordant twin correlations being intermediate in value. It is therefore possible, in principle, to detect the effects of marital interaction without using either longitudinal data or data on spouse pairs. However, to be detectable in twin data, marital interaction must be strong, or must exhibit marked asymmetry of effects between males and females. Genotype × environment interaction can also produce heterogeneity of correlation between concordant married, discordant, and concordant unmarried twin pairs, when genetic and environmental effects interact with marital status. However, this will usually produce increased estimates of the genetic component of variance in unmarried twins, whereas marital interaction produces increased genetic variance in married twins.

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45

Waldman, Irwin D. "Gene–environment interactions reexamined: Does mother's marital stability interact with the dopamine receptor D2 gene in the etiology of childhood attention-deficit/hyperactivity disorder?" Development and Psychopathology 19, no. 4 (2007): 1117–28. http://dx.doi.org/10.1017/s0954579407000570.

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AbstractPotential candidate Gene × Environment interactions in the etiology of childhood attention-deficit/hyperactivity disorder (ADHD) are examined between the dopamine receptor D2 gene (DRD2) and putative family environmental risk factors that reflect mothers' marital stability. Specifically, interactions were tested between DRD2 and mothers' marital status, number of marriages or cohabiting relationships, and age at first marriage. Moderate relations were found among the marital stability measures, and mother's marital status and number of marriages or cohabiting relationships (but not age at first marriage) were risk factors for their children's ADHD. All three mother's marital stability variables were associated with either the child's or mother's DRD2 genotypes. Gene × Environment interactions were found for children's ADHD diagnoses between children's DRD2 genotypes and mother's marital status and number of marriages or cohabiting relationships. It is of interest that these interactions were strengthened with the progressive addition of sets of covariates intended to control for alternative causal pathways that represent background genetic and environmental context confounds. The present findings highlight the importance of considering both the nexus of putative environmental risk factors and whether their etiology and effects are truly environmental in future Gene × Environment interaction research.

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46

Paudel, Anju, Elizabeth Galik, and Barbara Resnick. "FACTORS INFLUENCING STAFF-RESIDENT INTERACTIONS IN NURSING HOMES." Innovation in Aging 3, Supplement_1 (November 2019): S503. http://dx.doi.org/10.1093/geroni/igz038.1860.

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Abstract Staff-resident interaction is an integral part of daily life of nursing home residents and has an influence on residents’ well-being. However, less is known about the factors that influence these interactions. The purpose of this study was to describe the quality of interaction between staff and residents with dementia in nursing homes, and explore the factors associated with ‘positive’ and ‘negative/neutral’ interactions. This cross-sectional analysis utilized baseline data from the first two cohorts in a randomized clinical trial, EIT-4-BPSD, including 338 residents from 35 nursing homes. Generalized linear mixed model (GLMM) was used to explore the factors associated with interactions. It was hypothesized that the resident factors (age, gender, race, marital status, cognition, comorbidities, depressive symptoms, agitation, functional status) and facility factors (facility ownership, facility size, RN hours, LPN hours, CNA hours, and star rating) would be associated with staff-resident interactions. The staff-resident interactions were mostly positive. Overall, the models for ‘positive interactions’ and ‘negative/neutral interactions’ correctly classified 82.8% and 85.3% of the cases respectively. Both ‘positive’ and ‘negative/neutral’ interactions were significantly associated with marital status, and profit status of the facility. Being married and living in a not for profit facility was associated with lower odds of positive interaction and higher odds of negative/neutral interaction. There is some evidence that marital status influences staff-resident interactions and that profit status of facilities are associated with staff resident interactions. Future studies could explore staff factors such as consistent assignment, job satisfaction, staff characteristics, and training.

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47

Woody, Erik Z., and Philip R. Costanzo. "Does marital agony precede marital ecstasy? A comment on Gottman and Krokoff's "Marital interaction and satisfaction: A longitudinal view."." Journal of Consulting and Clinical Psychology 58, no. 4 (1990): 499–501. http://dx.doi.org/10.1037/0022-006x.58.4.499.

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48

JOHNSON, MATTHEW D., and THOMAS N. BRADBURY. "Marital satisfaction and topographical assessment of marital interaction: A longitudinal analysis of newlywed couples." Personal Relationships 6, no. 1 (March 1999): 19–40. http://dx.doi.org/10.1111/j.1475-6811.1999.tb00209.x.

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49

Islami, Hatixhe. "Resolving Marital Conflicts." SEEU Review 12, no. 1 (June 1, 2017): 69–80. http://dx.doi.org/10.1515/seeur-2017-0005.

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Abstract Couple relations are characterized as relations of an intimate nature dominated by constant interaction or strong interdependence and mutual influence of intense feelings between spouses. In marriages where there is conflict, there are typical examples of interaction, which result in high proportion of negative communicative acts that affect the quality of marital relationships such as: loss of confidence, the emergence of frustration, feelings of anxiety, discomfort, leading to escalation of marital conflicts. Communication as a variable has a large impact on the resolution of marital conflicts. The obtained results of our research indicate that the choice of different strategies of behavior in conflict situations among our respondents primarily depend on: the degree of persistence in the pursuit of its own interests and level of cooperation in addressing the interests of others. In accordance with the model of behavior in conflict situations, spouses also chose the styles for resolving them. Spouses who perceive (consider) that they communicate openly unlike spouses who do not practice open communication, use the competition as a model of behavior in conflict situations and support rivalry as a style for conflict resolution. The choice of rivalry style as a style for resolving marital conflicts, among our respondents appears as a reflection of expressed wish for having an open fight for the realization of their interests, especially when it comes to the limitation of their rights by their spouses, failure to fulfill the emotional needs (lack of love, care, attention, understanding). But, the duration of the marital relationship as a dimension does not affect the use of certain styles for resolving marital conflicts among our respondents.

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50

Belsky, Jay, Lise Youngblade, Michael Rovine, and Brenda Volling. "Patterns of Marital Change and Parent-Child Interaction." Journal of Marriage and the Family 53, no. 2 (May 1991): 487. http://dx.doi.org/10.2307/352914.

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