| Literature DB >> 30271366 |
Marcello Russo1,2, Ariane Ollier-Malaterre3, Ellen Ernst Kossek4, Marc Ohana2.
Abstract
Given the increasing use of technology and the growing blurring of the boundaries between the work and nonwork domains, decisions about when to interrupt work for family and vice versa can have critical implications for relationship satisfaction within dual-earner couples. Using a sample of 104 dual-earner couples wherein one of the partners is a member of the largest Italian smartphone-user community, this study examines how variation in boundary management permeability within dual-earner couples relates to partner relationship satisfaction, and whether the effect differed by gender and partners' agreement on caregiving roles in the family. Using actor-partner analysis, we examined the degree to which an individual and his or her partner's level of family-interrupting work behaviors (FIWB, e.g., taking a call from the partner while at work) and work-interrupting family behaviors (WIFB, e.g., checking work emails during family dinner) was positively related to relationship satisfaction. Results show that women experienced greater relationship satisfaction than men when their partners engaged in higher levels of FIWB, and this relationship was stronger when partners had perceptual congruence on who is primarily responsible for caregiving arrangements in the family. This study advances research on dual-earner couples by showing the importance of examining boundary management permeability as a family social phenomenon capturing transforming gender roles.Entities:
Keywords: boundary management; dual-earner couples; gender; partner agreement; relationship satisfaction
Year: 2018 PMID: 30271366 PMCID: PMC6146097 DOI: 10.3389/fpsyg.2018.01723
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Description of the demographic characteristics of the study’s sample.
| Men | Women | |
|---|---|---|
| Average age | 34.56 | 36.13 |
| Organizational tenure | 7.15 | 7.72 |
| Relationship tenure | 9.5 | |
| Average number of working hours | 39.5 | 33.5 |
| Education | ||
| Bachelor | 44% | 52% |
| High school | 48% | 40% |
| Job status | ||
| Managers | 16% | 9% |
| Employees | 60% | 59% |
| Consultants | 11% | 19% |
| Internship | 8% | 11% |
| Self-employed | 5% | 2% |
| Job industry | ||
| High-tech | 24% | 8% |
| Manufacturing | 15% | 8% |
| Education | 10% | 15% |
| Healthcare | 9% | 14% |
| Financial services | 9% | 6% |
| Public administration | 8% | 6% |
| Trade | 4% | 6% |
| Service and consulting | 3% | 9% |
| Arts and culture | 3% | 4% |
| Media | 2% | 3% |
| Others (e.g., utilities, etc.) | 13% | 21% |
Means and standard deviations of the main study’s variables.
| Men | Women | |||
|---|---|---|---|---|
| M | S.D. | M | S.D. | |
| Family-Interrupting-Work-Behaviors (FIWB) | 3.38 | 0.73 | 3.20 | 0.72 |
| Work-Interrupting-Family-Behaviors (WIFB) | 2.93 | 0.96 | 2.77 | 0.86 |
| Relationship satisfaction | 4.22 | 0.72 | 4.25 | 0.78 |
Correlation matrix for the study’s variables.
| i | ii | iii | iv | v | vi | vii | ||
|---|---|---|---|---|---|---|---|---|
| i | Relationship tenure | 0.86∗∗ | 0.67∗∗ | 0.53∗∗ | 0.04 | −0.09 | 0.05 | −0.26∗∗ |
| ii | Age | 0.69∗∗ | 0.81∗∗ | 0.71∗∗ | 0.03 | −0.09 | 0.12 | −0.30∗∗ |
| iii | Organizational tenure | 0.59∗∗ | 0.76∗∗ | 0.58∗∗ | 0.07 | −0.06 | 0.06 | −0.22∗ |
| iv | Hours worked per week | 0.06 | 0.03 | 0.07 | 0.39∗∗ | 0.15 | −0.16 | 0.12 |
| v | FIWB | −0.23∗ | −0.28∗∗ | −0.19 | 0.09 | 0.24∗ | 0.26∗∗ | 0.25∗ |
| vi | WIFB | 0.01 | 0.01 | 0.01 | −0.10 | 0.23∗ | 0.06 | −0.07 |
| vii | Relationship satisfaction | −0.06 | −0.14 | −0.11 | 0.18 | 0.03 | −0.12 | 0.45∗∗ |
Results of HLM regression analysis of actor and partner effects of cross-role interrupting behaviors predicting relationship satisfaction.
| B | S.E. | |
|---|---|---|
| Constant | 4.23∗∗ | 0.06 |
| Gender | 0.001 | 0.04 |
| FIWB actor | 0.14∗ | 0.07 |
| FIWB partner | 0.17∗ | 0.07 |
| WIFB actor | −0.01 | 0.56 |
| WIFB partner | −0.12∗ | 0.56 |
Results of double intercept models HLM regression analysis predicting relationship satisfaction.
| B | S.E. | ||
|---|---|---|---|
| Step 1 | Man (intercept) | 4.25∗∗ | 0.07 |
| Woman (intercept) | 4.26∗∗ | 0.07 | |
| FIWB Actor × Man | −0.01 | 0.10 | |
| FIWB Partner × Man | 0.29∗∗ | 0.10 | |
| WIFB Actor × Man | −0.11 | 0.07 | |
| WIFB Partner × Man | −0.02 | 0.08 | |
| FIWB Actor × Woman | 0.29∗∗ | 0.10 | |
| FIWB Partner × Woman | 0.05 | 0.10 | |
| WIFB Actor × Woman | −0.12 | 0.08 | |
| WIFB Partner × Woman | −0.03 | 0.07 | |
| Step 2 | Man × Agreement | 0.04 | 0.16 |
| Woman × Agreement | 0.04 | 0.16 | |
| FIWB Actor × Man × Agreement | −0.19 | 0.22 | |
| FIWB Partner × Man × Agreement | 0.02 | 0.29 | |
| WIFB Actor × Man × Agreement | 0.17 | 0.16 | |
| WIFB Partner × Man × Agreement | 0.19 | 0.18 | |
| FIWB Actor × Woman × Agreement | 0.32 | 0.29 | |
| FIWB Partner × Woman × Agreement | −0.37+ | 0.22 | |
| WIFB Actor × Woman × Agreement | 0.20 | 0.18 | |
| WIFB Partner × Woman × Agreement | −0.11 | 0.16 |