Anette Eva Fasang

Beyond transmission: intergenerational patterns of family formation among middle-class American families.

Research about parental effects on family behavior focuses on intergenerational transmission: that is, whether children show the same family behavior as their parents. This focus potentially overemphasizes similarity and obscures heterogeneity in parental effects on family behavior. In this study, we make two contributions. First, instead of focusing on isolated focal events, we conceptualize parents’ and their children’s family formation holistically as the process of union formation and childbearing between ages 15 and 40. We then discuss mechanisms likely to shape these intergenerational patterns. Second, beyond estimating average transmission effects, we innovatively apply multichannel sequence analysis to dyadic sequence data on middle-class American families from the Longitudinal Study of Generations (LSOG; N = 461 parent-child dyads). The results show three salient intergenerational family formation patterns among this population: a strong transmission, a moderated transmission, and an intergenerational contrast pattern. We examine what determines parents’ and children’s likelihood to sort into a specific intergenerational pattern. For middle-class American families, educational upward mobility is a strong predictor of moderated intergenerational transmission, whereas close emotional bonds between parents and children foster strong intergenerational transmission. We conclude that intergenerational patterns of family formation are generated at the intersection of macro-structural change and family internal psychological dynamics.

Visualizing Sequences in the Social Sciences: Relative Frequency Sequence Plots

Visualization is a potentially powerful tool for exploration and complexity reduction of categorical sequence data. This article discusses currently available sequence visualization against established criteria for graphical excellence in the visual display of quantitative information. Existing sequence graphs fall into two groups: They either represent categorical sequences or summarize them. The authors propose relative frequency sequence plots as an informative way of graphing sequence data and as a bridge between data representation graphs and data summarization graphs. The efficacy of the proposed plot is assessed by the R 2 and the F statistics. The applicability of the proposed graphs is demonstrated using data from the German Life History Study on women’s family formation.

Which type of job mobility makes people happy? A comparative analysis of European welfare regimes

In view of changing job mobility patterns in Europe, the impact of job mobility on job satisfaction is gaining importance, yet has received little attention. This article analyses 23 European countries to address two questions: (1) how do different types of job mobility affect job satisfaction, and (2) do welfare state regimes alter the relationship between job mobility and job satisfaction? Theoretically the study integrates economic and sociological approaches to job satisfaction with insights from the psychology of well-being. The findings show that job mobility differentially affects job satisfaction domains. External upward mobility is decisive to enhance satisfaction with objective working conditions and work–life balance, while internal mobility is pivotal for satisfaction with future career prospects. The experience of unemployment lowers all job satisfaction domains even after re-employment. The article’s findings on welfare regimes indicate that social policies interact with country differences in workforce composition, such as the overall prevalence of unemployment, to determine job satisfaction.

New Perspectives on Family Formation: What Can We Learn from Sequence Analysis?

Due to its rapid technical development over the past two decades, sequence analysis has partly lost sight of its theoretical motivation in the social sciences as originally formulated by Andrew Abbott. How exactly is the sequential approach helping us to inform core theoretical debates in the social sciences? Taking the life course paradigm as a starting point, this chapter argues that insights gained from sequence analysis can uniquely contribute to three theoretical concerns in family formation research: First, multidimensional lives, that is primarily the study of parallel family and employment trajectories; second, linked lives, i.e. how family formation unfolds in the context of networks of shared relationships; and third, how macro-structural contexts shape the de-standardization and pluralization of family formation. This chapter reviews the respective sequence analysis literature. I conclude that sequence analysis is most promising in further advancing insights on family formation when applied in rigorous research designs that incorporate the broader premises of the life course paradigm and narrative positivism. To illustrate the argument, I present a study on the de-standardization of family formation before and after the German Reunification. This case study explores constellations of macro structural context factors (multiple-way interactions) to theorize the de-standardization of family formation and proposes a new method for establishing within and between group differences in sequences.

Sibling Similarity in Family Formation

Sibling studies have been widely used to analyze the impact of family background on socioeconomic and, to a lesser extent, demographic outcomes. We contribute to this literature with a novel research design that combines sibling comparisons and sequence analysis to analyze longitudinal family-formation trajectories of siblings and unrelated persons. This allows us to scrutinize in a more rigorous way whether sibling similarity exists in family-formation trajectories and whether siblings’ shared background characteristics, such as parental education and early childhood family structure, can account for similarity in family formation. We use Finnish register data from 1987 through 2007 to construct longitudinal family-formation trajectories in young adulthood for siblings and unrelated dyads (N = 14,257 dyads). Findings show that family formation is moderately but significantly more similar for siblings than for unrelated dyads, also after controlling for crucial parental background characteristics. Shared parental background characteristics add surprisingly little to account for sibling similarity in family formation. Instead, gender and the respondents’ own education are more decisive forces in the stratification of family formation. Yet, family internal dynamics seem to reinforce this stratification such that siblings have a higher probability to experience similar family-formation patterns. In particular, patterns that correspond with economic disadvantage are concentrated within families. This is in line with a growing body of research highlighting the importance of family structure in the reproduction of social inequality.

The Interplay of Work and Family Trajectories over the Life Course: Germany and the United States in Comparison1

This article uses sequence analysis to examine how gender inequality in work-family trajectories unfolds from early adulthood until middle age in two different welfare state contexts. Results based on the National Longitudinal Survey of Youth and the German National Education Panel Study demonstrate that in Germany, all work-family trajectories are highly gender-specific irrespective of social class. In contrast, patterns of work-family interplay across the life course in the United States are, overall, less gendered, but they differ widely by social class. In fact, work-family patterns characterized by high occupational prestige are fairly equally accessible for men and women. However, women are far more likely than men to experience the joint occurrence of single parenthood and unstable low-prestige work careers in the United States. The authors contribute to the literature by bringing in a longitudinal, process-oriented life course perspective and conceptualizing work-family trajectories as interlocked, multidimensional processes.

Estimating the Relationship between Time-varying Covariates and Trajectories: The Sequence Analysis Multistate Model Procedure

The relationship between processes and time-varying covariates is of central theoretical interest in addressing many social science research questions. On the one hand, event history analysis (EHA) has been the chosen method to study these kinds of relationships when the outcomes can be meaningfully specified as simple instantaneous events or transitions. On the other hand, sequence analysis (SA) has made increasing inroads into the social sciences to analyze trajectories as holistic “process outcomes.” We propose an original combination of these two approaches called the sequence analysis multistate model (SAMM) procedure. The SAMM procedure allows the study of the relationship between time-varying covariates and trajectories of categorical states specified as process outcomes that unfold over time. The SAMM is a stepwise procedure: (1) SA-related methods are used to identify ideal-typical patterns of changes within trajectories obtained by considering the sequence of states over a predefined time span; (2) multistate event history models are estimated to study the probability of transitioning from a specific state to such ideal-typical patterns. The added value of the SAMM procedure is illustrated through an example from life-course sociology on how (1) time-varying family status is associated with women’s employment trajectories in East and West Germany and (2) how German reunification affected these trajectories in the two subsocieties.

Comment: What’s the Added Value?

Wen Fan is a PhD candidate in sociology at the University of Minnesota. Her research interests focus on social determinants of health-related outcomes over the life-course, especially how these outcomes vary across socioeconomic status, historical moments, work and family contexts, and organizational as well as institutional arrangements. Her dissertation examines the link between education and health, using China’s Cultural Revolution (1966–1976) to better theorize and identify effects of education.