Filtern
Volltext vorhanden
- nein (18)
Dokumenttyp
- Wissenschaftlicher Artikel (14)
- Teil eines Buches (Kapitel) (2)
- Preprint (1)
- Rezension (1)
Gehört zur Bibliographie
- ja (18) (entfernen)
Schlagworte
- COVID-19 (3)
- employment (3)
- gender (3)
- gender equality (2)
- parental leave (2)
- Coronavirus pandemic (1)
- Covid-19 (1)
- Europe (1)
- German literature (1)
- Germany (1)
Institut
Under what conditions do young precarious workers join unions? Based on case studies from France, Germany, the United Kingdom, and the United States, the authors identify targeted campaigns, coalition building, membership activism, and training activities as innovative organizing approaches. In addition to traditional issues such as wages and training quality, these approaches also featured issues specific to precarious workers, including skills training, demands for minimum working hours, and specific support in insecure employment situations. Organizing success is influenced by bargaining structures, occupational identity, labor market conditions, and support by union leaders and members. Innovative organizing tends to happen when unions combine new approaches with existing structures.
Existing theories of aging suggest that there may be similarities and differences in how COVID-19 impacts older people’s psychosocial adaptation compared to younger age groups, particularly middle-aged individuals. To assess the degree to which these impacts vary, we analyzed data from 3098 participants between the ages of 40 and 79 from an online survey in Germany. Data were collected at three measurement occasions between the start of the nationwide lockdown in mid-March 2020 and the end of the lockdown in early August 2020. The survey focused on everyday experiences during the COVID-19 crisis and collected various satisfaction ratings (e.g., general life satisfaction, satisfaction with family life, satisfaction with social contacts). At baseline, participants also provided retrospective ratings of satisfaction for the period before the COVID-19 crisis. In our analyses, we compared satisfaction ratings of middle-aged (40–64 years) and older individuals (65–79 years) and found that both middle-aged and older participants experienced the greatest decreases in satisfaction with social contacts, with more pronounced decreases seen in middle-aged participants. A similar pattern was observed for general life satisfaction, but the overall decreases were less pronounced in both groups compared to the decreases in satisfaction with social contacts. We also observed a partial recovery effect in all measures at the last measurement occasion, and this effect was more pronounced in older adults. Findings were also confirmed using age as a continuous variable and checking for linear and nonlinear effects of outcomes across the age range. Although ageism arose during the pandemic in the sense that older adults were labeled as a “risk group,” particularly at the start of the outbreak, we found consistently with other studies that middle-aged adults’ satisfaction decreased to a greater extent than that of older adults.
Can we rely on computational methods to accurately analyze complex texts? To answer this question, we compared different dictionary and scaling methods used in predicting the sentiment of German literature reviews to the "gold standard " of human-coded sentiments. Literature reviews constitute a challenging text corpus for computational analysis as they not only contain different text levels-for example, a summary of the work and the reviewer's appraisal-but are also characterized by subtle and ambiguous language elements. To take the nuanced sentiments of literature reviews into account, we worked with a metric rather than a dichotomous scale for sentiment analysis. The results of our analyses show that the predicted sentiments of prefabricated dictionaries, which are computationally efficient and require minimal adaption, have a low to medium correlation with the human-coded sentiments (r between 0.32 and 0.39). The accuracy of self-created dictionaries using word embeddings (both pre-trained and self-trained) was considerably lower (r between 0.10 and 0.28). Given the high coding intensity and contingency on seed selection as well as the degree of data pre-processing of word embeddings that we found with our data, we would not recommend them for complex texts without further adaptation. While fully automated approaches appear not to work in accurately predicting text sentiments with complex texts such as ours, we found relatively high correlations with a semiautomated approach (r of around 0.6)-which, however, requires intensive human coding efforts for the training dataset. In addition to illustrating the benefits and limits of computational approaches in analyzing complex text corpora and the potential of metric rather than binary scales of text sentiment, we also provide a practical guide for researchers to select an appropriate method and degree of pre-processing when working with complex texts.
Who suffered most?
(2022)
Objective:
This study examines gender and socioeconomic inequalities in parental psychological wellbeing (parenting stress and psychological distress) during the COVID-19 pandemic in Germany.
Background:
The dramatic shift of childcare and schooling responsibility from formal institutions to private households during the pandemic has put families under enormous stress and raised concerns about caregivers' health and wellbeing. Despite the overwhelming media attention to families’ wellbeing, to date limited research has examined parenting stress and parental psychological distress during the COVID-19 pandemic, particularly in Germany.
Method:
We analyzed four waves of panel data (N= 1,771) from an opt-in online survey, which was conducted between March 2020 and April 2021. Multivariable OLS regressions were used to estimate variations in the pandemic's effects on parenting stress and psychological distress by various demographic and socioeconomic characteristics.
Results:
Overall, levels of parenting stress and psychological distress increased during the pandemic. During the first and third wave of the COVID-19 pandemic, mothers, parents with children younger than 11 years, parents with two or more children, parents working from home as well as parents with financial insecurity experienced higher parenting stress than other sociodemographic groups. Moreover, women, respondents with lower incomes, single parents, and parents with younger children experienced higher levels of psychological distress than other groups.
Conclusion:
Gender and socioeconomic inequalities in parents' psychological wellbeing increased among the study participants during the pandemic.
Although mothers and fathers in almost all rich democracies are entitled to some form of paid parenting leave, fathers in particular do not take all the leave available to them. As employers play an important role in the implementation of parenting leave policies, this chapter investigates which workplace characteristics influence mothers' and fathers' uptake of their statutory leave entitlements. In Part 1, we estimate the size of the gap between statutory leave entitlement and leave uptake across genders and countries by combining data from the OECD and the European Labor Force Survey. In Parts 2 and 3, we review the literature on structural, cultural, and normative explanations for the gap in parenting leave uptake. We conclude the chapter with suggestions for further research, including the need for reliable data on the size of the implementation gap and research on non-European countries.
Führung in Teilzeit?
(2023)
Teilzeitarbeit in Führungsetagen ist eine Ausnahme, obwohl das Thema Arbeitszeitreduzierung durch veränderte Familienarrangements und zunehmende berufliche Belastung wichtiger geworden ist. Daran hat weder der seit mehr als 20 Jahren bestehende Rechtsanspruch auf einen Teilzeitarbeitsplatz noch das im Jahr 2019 eingeführte Rückkehrrecht auf einen Vollzeitarbeitsplatz nach zeitlich begrenzten Arbeitszeitreduktionen etwas geändert. Dieser Beitrag nutzt Daten der Europäischen Arbeitskräfteerhebung, um Teilzeitarbeit von Führungskräften in Deutschland sowohl im zeitlichen als auch im internationalen Vergleich einzuordnen und damit ein empirisches Fundament für die gesellschaftliche Diskussion um Teilzeitführungskräfte zu legen. Die Auswertungen zeigen: In Deutschland arbeiteten im Jahr 2019 laut eigener Aussage rund 14 % der Führungskräfte in Teilzeit. Im europäischen Vergleich gehört Deutschland damit zu den Ländern mit dem höchsten Anteil an teilzeitarbeitenden Führungskräften. Die Auswertungen zeigen auch, dass in Deutschland der Anteil der weiblichen Führungskräfte in Teilzeit mit rund 32 % deutlich über dem der männlichen Führungskräfte liegt (rund 3 %) und es große Unterschiede nach Altersgruppen gibt. Als Motiv für eine Arbeitszeitreduktion geben Führungskräfte, insbesondere Frauen, zumeist Pflege- und Betreuungsverpflichtungen an.
Does working in a gender-atypical occupation reduce individuals’ likelihood of finding a different-sex romantic partner, and do such occupational partnership penalties contribute to occupational gender segregation? To answer this question, we theorized partnership penalties for working in gender-atypical occupations by drawing on insights from evolutionary psychology, social constructivism, and rational choice theory and exploited the stability of occupational pathways in Germany. In Study 1, we analyzed observational data from a national probability sample (N= 1,634,944) to assess whether individuals in gender-atypical occupations were less likely to be partnered than individuals who worked in gender typical occupations. To assess whether the observed partnership gaps found in Study 1 were causally related to the gender typicality of men’s and women’s occupations, we conducted a field experiment on a dating app (N = 6,778). Because the findings from Study 2 suggested that young women and men indeed experienced penalties for working in a gender-atypical occupation (at least when they were not highly attractive), we employed a choice-experimental design in Study 3 (N = 1,250) to assess whether women and men were aware of occupational partnership penalties and showed that anticipating occupational partnership penalties may keep young and highly educated women from working in gender-atypical occupations. Our main conclusion therefore is that that observed penalties and their anticipation seem to be driven by unconscious rather than conscious processes.
Objective: This article analyzed gender differences in professional advancement following the outbreak of the Covid-19 pandemic based on data from open-source software developers in 37 countries. Background: Men and women may have been affected differently from the social distancing measures implemented to contain the Covid-19 pandemic. Given that men and women tend to work in different jobs and that they have been unequally involved in childcare duties, school and workplace closings may have impacted men's and women's professional lives unequally. Method: We analyzed original data from the world's largest social coding community, GitHub. We first estimated a Holt-Winters forecast model to compare the predicted and the observed average weekly productivity of a random sample of male and female developers (N=177,480) during the first lockdown period in 2020. To explain the crosscountry variation in the gendered effects of the Covid-19 pandemic on software developers' productivity, we estimated two-way fixed effects models with different lockdown measures as predictors - school and workplace closures, in particular. Results: In most countries, both male and female developers were, on average, more productive than predicted, and productivity increased for both genders with increasing lockdown stringency. When examining the effects of the most relevant types of lockdown measures separately, we found that stay-at-home restrictions increased both men's and women's productivity and that workplace closures also increased the number of weekly contributions on average - but for women, only when schools were open. Conclusion: Having found gender differences in the effect of workplace closures contingent on school and daycare closures within a population that is relatively young and unlikely to have children (software developers), we conclude that the Covid-19 pandemic may indeed have contributed to increased gender inequalities in professional advancement.
This article draws on the experience from an ongoing research project employing respondent-driven sampling (RDS) to survey (illicit) 24-hour home care workers. We highlight issues around the preparatory work and the fielding of the survey to provide researchers with useful insights on how to implement RDS when surveying populations for which the method has not yet been used. We conclude the article with ethical considerations that occur when employing RDS.
This paper examines and discusses the biases and pitfalls of retrospective survey questions that are currently being used in many medical, epidemiological, and sociological studies on the COVID-19 pandemic. By analyzing the consistency of answers to retrospective questions provided by respondents who participated in the first two waves of a survey on the social consequences of the COVID-19 pandemic, we illustrate the insights generated by a large body of survey research on the use of retrospective questions and recall accuracy.