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Purpose – This chapter presents research on determinants of economic hardship and the effect of economic hardship on marital quality in two social contexts in Croatia: postwar recovery period (Study 1) and economic recession starting in 2009 to present (Study 2).

Methodology/approach – In Study 1 the sample consisted of 505 married couples (quota sample of Zagreb and neighboring villages). In Study 2 the sample consisted of 850 married couples (quota sample of Zagreb and 14 regions in Croatia). We have used the SPSS 18 Mixed Linear Model approach for data analysis. A number of variables representing individual characteristics of marital partners were entered as level 1. A number of variables representing marital dyad (duration of marriage, size of the family) were entered as level 2.

Findings – The variables of education, employment status, and size of the family turned out to be most predictive for economic hardship in both studies. Also, in both studies economic hardship turned out to be a very important predictor of marital quality.

Research limitations – The limitations of the studies are the absence of longitudinal approach and a probability sample.

Social implications – The studies carry important social implications showing that in the absence of government or community social support, partners’ social support could moderate negative effect of economic hardship on marital quality. We assume that this conclusion could be generalized to other social contexts as well.

Originality/value of chapter – The strength and originality of the studies was in multilevel approach in data analysis and treating marital partners as a dyad.

This chapter aims to verify predictors of marital quality in Croatia. As a theoretical starting point, the Huston Socio-ecological model was used. Huston’s so-called “wide-angle and close range” variables were included in to study as predictors of marital quality. A two-level hypothetical model was created consisting of Six groups of predictor variables: Level 1 predictors included Partners’ demographic variables, Partners’ personality, Partners’ value system, Marital processes or dynamics, and Partners’ wellbeing. Level 2 predictors included four Marriage characteristics. Altogether at both levels, 42 variables represented predictors. Marital quality in the marriage was a dependent variable. Eight hundred and eighty-four marital couples from 14 counties in various parts of Croatia and from Zagreb, the country’s capital, were included in the study. Factor analysis, Maximum likelihood with Promax rotation was used to extract factors. Eight factors were extracted: Marital harmony, Distress, Partners’ personality, Negative spillover from work, Traditionalism, Engagement in child care, Participation in decision-making, and Economic hardship. Multilevel analysis using the Mix model in Statistical Package for Social scientist, version 20 was used in data analysis. Predictive on Marital quality in a marriage turned out variables: Marital harmony, Distress, Partners’ personality, Traditionalism, Engagement in child care, and Participation in decision-making as level 1 and Marriage duration (Marriage stages) as a level 2 variable. Huston’s Ecological model proved to be adequate and useful in explaining marital quality.

The study was conducted to investigate the association between nonsexual predictors (personal, interpersonal, and dyad variables) and sexual satisfaction in the long-term marriages. The theoretical model was created according to the socio-ecological model proposed by Huston (2000), including 12 personal, 8 interpersonal, and 3 dyad variables as predictors. The model treated personal and interpersonal variables as level 1 variables, while dyad variables were defined as level 2. The research was performed in 14 counties of Croatia and in Zagreb, the capital of Croatia. The sample included 315 marital couples. Marital partners were interviewed individually and separately, at their home. The analysis was performed using the MLM statistical procedure. Four models were tested: (1) personal, (2) interpersonal without gender variable as predictor, (3) interpersonal with gender variable, and (4) final model made up of all groups of predictors together. In Model 1, Self-esteem and Physical attraction turned out to be predictive of sexual satisfaction. In Model 2, Emotional and Recreational intimacy were positive, while Marriage duration proved to be negative predictor. Model 3 generated same predictive variables as Model 2 plus the variable Gender. Model 4 yielded Gender, Physical Attraction, Emotional Intimacy, Participation in key decision-making, and Marital Quality as positive predictors, while Anxiety and Depression proved to be negative predictors. Obtained results are showing that in long-term marriages not only sexual variables are good predictors of marital sexual satisfaction but some nonsexual variables such as emotional intimacy, recreational intimacy, physical attractiveness, participation in key decision-making, and marital quality are also important. The results are discussed and study limitations are emphasized at the end.

The ideal worker norm refers to the belief that employees can and should be singularly devoted to work. Our purpose is to understand the extent to which workers buy into various components of ideal work and how unpopular components of the ideal worker norm persist. We hypothesize they persist, at least in part, because of pluralistic ignorance. Pluralistic ignorance entails situations in which most people privately reject a norm, but incorrectly assume others accept it.

Drawing on original survey data, we examine the extent to which US workers subscribe to a range of factors described in the ideal work literature. We test the pluralistic ignorance hypothesis by comparing workers’ agreement with, and their perceptions of their coworkers’ agreement with, these factors.

We find workers embrace some components of ideal work. Yet, regardless of gender or parental status, they dislike those components that involve working extremely long hours and prioritizing work at the expense of personal or family life. In addition, regardless of gender or parental status, workers experience pluralistic ignorance with respect to those components that involve prioritizing work at the expense of personal or family life.

Our findings suggest that researchers distinguish between different components of ideal work. They also suggest that everyone – not just women or parents – desire work–family balance. Lastly, because people often behave in ways that are congruent with what they mistakenly believe to be the norm, our findings suggest workers may unintentionally perpetuate family-unfriendly workplace standards.

Past studies suggest that full-time maternal employment may be negatively related to children’s cognitive development. Most studies measure maternal employment at one time point, while mothers’ work hours may not be stable during early childrearing years. Using data from the 2001 Early Childhood Longitudinal Study – Birth Cohort (N ≈ 6,500), the authors examine stability in mothers’ work hours across four waves when children are 9 and 24 months old, in preschool, and in kindergarten, mothers’ background characteristics associated to it, and its link to child cognitive development. Results show that the majority of mothers change work hours across the four waves. Analysis using multinomial logistic regression models suggests that mothers’ older age, fewer children, and higher household income are related to working full time at all four waves compared to varying work hours across the waves; more children and less than high school completion are related to staying home at all four waves; and mothers’ older age, being White, no change in partnership status, and holding a college degree are related to working part time at all four waves. Compared to mothers’ changing work hours, mothers’ stable work hours, full time or part time, at all four waves is related to children’s better reading, math, and cognitive scores in kindergarten, whereas mothers’ staying home at all four waves is negatively related to these scores. These associations disappear when background characteristics are controlled for in ordinary least squares regression models. These findings underscore the role of background characteristics in shaping both mothers’ stable employment and children’s cognitive development.

Lone mothers commonly face social stigma alongside practical challenges in fulfilling both principal breadwinner and primary carer roles. This chapter draws on findings from qualitative research involving a sample of lone mothers in the north of England to discuss how they negotiate competing employment and parenting demands within a socio-political context characterized by “worker citizenship”. This model positions them firmly as workers while increased benefits conditionality is reinforced by media stereotypes that conflate lone motherhood with welfare dependency.

A comparative research design was developed to explore experiences of mothers in two nearby locations with contrasting socio-economic profiles using a Bourdieusian approach to class analysis. Factors affecting lone mothers’ subjective perceptions of a historically de-legitimated identity were investigated during semi-structured interviews with women in diverse situations.

The interviews revealed that participants across the sample viewed being in paid employment as the most significant factor in mitigating stigma. They emphasized their work orientation and saw this as an aspect of responsible parenting. Most mothers in the more affluent location used the cultural capital of educational qualifications to secure work that could be balanced with parenting. In contrast, most mothers in the deprived location expressed frustration at being unable to access jobs that are compatible with childcare and consequently felt stigmatized for claiming benefits.

The chapter is of value in illustrating the significance of avoiding stigma as a consideration in lone mothers’ deliberations on work/family interface. It also highlights the impact of class and location on lone mothers’ ability to balance employment with childcare.

This chapter aims to delineate the indigenous pattern of parental involvement in Taiwan by investigating the effects of specific practices in schools and in the family, such as school selection, school involvement, preparing a study place at home, and providing nutritious food.

We use two waves of data from the Taiwan Youth Project (2000, 2003) to examine how parental involvement varies between dual- and single-earner families, and we further demonstrate how sons and daughters have different access in terms of recognizing their parents’ effort, and how children’s subjective appraisals promote their academic performance with respect to test scores.

We find that dual-earner families have higher incomes, higher educational levels, and have fewer children than single-earner ones. Our multivariate analyses show that parental involvement does increase youngsters’ Basic Competence Test (BCT) score. However, we are unable to find any direct or indirect effects from parental employment status on BCT scores. Further analysis indicates that the relationship between parental school involvement and BCT score is only significant among dual-earner families, but not for the single-earner ones. In addition, our multiple group analysis reveals that sons’ BCT scores are affected more by parents’ school involvement, whereas daughters’ are affected more by special home provision. Our findings from adolescents’ subjective responses imply that sons may be more responsive to a non-familial context in contrast with daughters, who react more positively to familial provision.