Gender and language in online job advertisements - a cross-cultural study

The aim of this project is to investigate the use of gender-fair language from a cross-linguistic perspective. Specifically, we are interested in whether the use of gender-fair language correlates with socio-economic rankings of gender equality and with structural features of a language. We decided to analyze online job advertisements, as they reflect common language use and can easily be compared across languages. Moreover, formulations in job advertisements have been shown to impact personnel selection via the way target groups are addressed and referred to. In the present study we examined to what extent job advertisements are formulated in a gender-fair way and how this correlates with factors such as language, culture as well as status and gender-typicality of the job advertised. The data consisted of job advertisements published online in four European countries which occupy different positions in socio-economic rankings of gender equality (World Economic Forum, 2011): Switzerland (10), Austria (rank 34), Poland (42), and Czech Republic (75). We randomly selected 100 job advertisements from four lines of business characterized by different proportions of female employees – steels/metals, science, restaurants/food services, and health care. The advertisements were analyzed with regard to the linguistic form of the job title and the remaining text; we also noted indicators of job status, reference to gender-typical traits, pictures of women/men and other information which might be relevant to the use of gender-fair language (e.g., equal opportunity policies). A first analysis of the data indicates that the phrasing of job titles is closely related to the gender-typicality of a profession. While mainly gender-fair forms are used in healthcare, masculine forms are used more often in the domain of steels and metals. Feminine forms only, however, are almost never used. Cultural differences as well as correlations with associated variables will be discussed.

Cost and power analysis of linkage disequilibrium methods for locating genes influencing quantitative traits in humans

Linkage disequilibrium methods can be used to find genes influencing quantitative trait variation in humans. Linkage disequilibrium methods can require smaller sample sizes than linkage equilibrium methods, such as the variance component approach to find loci with a specific effect size. The increase in power is at the expense of requiring more markers to be typed to scan the entire genome. This thesis compares different linkage disequilibrium methods to determine which factors influence the power to detect disequilibrium. The costs of disequilibrium and equilibrium tests were compared to determine whether the savings in phenotyping costs when using disequilibrium methods outweigh the additional genotyping costs.^ Nine linkage disequilibrium tests were examined by simulation. Five tests involve selecting isolated unrelated individuals while four involved the selection of parent child trios (TDT). All nine tests were found to be able to identify disequilibrium with the correct significance level in Hardy-Weinberg populations. Increasing linked genetic variance and trait allele frequency were found to increase the power to detect disequilibrium, while increasing the number of generations and distance between marker and trait loci decreased the power to detect disequilibrium. Discordant sampling was used for several of the tests. It was found that the more stringent the sampling, the greater the power to detect disequilibrium in a sample of given size. The power to detect disequilibrium was not affected by the presence of polygenic effects.^ When the trait locus had more than two trait alleles, the power of the tests maximized to less than one. For the simulation methods used here, when there were more than two-trait alleles there was a probability equal to 1-heterozygosity of the marker locus that both trait alleles were in disequilibrium with the same marker allele, resulting in the marker being uninformative for disequilibrium.^ The five tests using isolated unrelated individuals were found to have excess error rates when there was disequilibrium due to population admixture. Increased error rates also resulted from increased unlinked major gene effects, discordant trait allele frequency, and increased disequilibrium. Polygenic effects did not affect the error rates. The TDT, Transmission Disequilibrium Test, based tests were not liable to any increase in error rates.^ For all sample ascertainment costs, for recent mutations ($<$100 generations) linkage disequilibrium tests were less expensive than the variance component test to carry out. Candidate gene scans saved even more money. The use of recently admixed populations also decreased the cost of performing a linkage disequilibrium test. ^

Effect of nonnormal random components on level and power in group-randomized trials

The use of group-randomized trials is particularly widespread in the evaluation of health care, educational, and screening strategies. Group-randomized trials represent a subset of a larger class of designs often labeled nested, hierarchical, or multilevel and are characterized by the randomization of intact social units or groups, rather than individuals. The application of random effects models to group-randomized trials requires the specification of fixed and random components of the model. The underlying assumption is usually that these random components are normally distributed. This research is intended to determine if the Type I error rate and power are affected when the assumption of normality for the random component representing the group effect is violated. ^ In this study, simulated data are used to examine the Type I error rate, power, bias and mean squared error of the estimates of the fixed effect and the observed intraclass correlation coefficient (ICC) when the random component representing the group effect possess distributions with non-normal characteristics, such as heavy tails or severe skewness. The simulated data are generated with various characteristics (e.g. number of schools per condition, number of students per school, and several within school ICCs) observed in most small, school-based, group-randomized trials. The analysis is carried out using SAS PROC MIXED, Version 6.12, with random effects specified in a random statement and restricted maximum likelihood (REML) estimation specified. The results from the non-normally distributed data are compared to the results obtained from the analysis of data with similar design characteristics but normally distributed random effects. ^ The results suggest that the violation of the normality assumption for the group component by a skewed or heavy-tailed distribution does not appear to influence the estimation of the fixed effect, Type I error, and power. Negative biases were detected when estimating the sample ICC and dramatically increased in magnitude as the true ICC increased. These biases were not as pronounced when the true ICC was within the range observed in most group-randomized trials (i.e. 0.00 to 0.05). The normally distributed group effect also resulted in bias ICC estimates when the true ICC was greater than 0.05. However, this may be a result of higher correlation within the data. ^

Psychological adaptation to marital breakup in middle-aged persons: the role of gender and time

Marital breakup is among the most incisive stressors in adult life. While the negative effects of divorce on well-being are well documented in research literature, the large interindividual differences in psychological adaptation to marital dissolution are still not well understood. One major controversially discussed question is, whether marital dissolution represents a temporary crisis or rather a chronic strain. But also with regard of the role of gender results are mixed. The aim of the present study is to investigate the psychological adaptation (depression, perceived stress and life satisfaction) to marital breakup in a sample of 980 middle-aged persons (M = 51.8 years) who were partnered on average 19.4 years. We compared four time groups: one with a separation within the last 12 months (84 women, 36 men), another within the last 13-24 months (75 women, 19 men), a third within 25-60 months (121 women, 49 men), and one with a separation more than 60 months ago (189 women, 144 men). A group of 348 age-matched married people served as control group (189 women, 159 men). Findings from ANOVA with the outcome depression as well as with the outcome perceived stress yielded a significant main effect for both factors (gender and time). The group who had experienced a separation within the last 12 months differed significantly from all other groups (higher depression score and higher perceived stress). No significant main effect for the factor time was found for the outcome life satisfaction. Regarding gender differences, females from all time groups displayed higher depression scores and higher perceived stress but lower life satisfaction than males. These results give important insights into the process of adaptation to marital breakup, which can be used for counselling.

The joint influence of gender and amount of smoking on weight gain one year after smoking cessation

Weight gain is often associated with smoking cessation and may discourage smokers from quitting. This study estimated the weight gained one year after smoking cessation and examined the risk factors associated with weight gain in order to identify socio-demographic groups at higher risk of increased weight after quitting. We analyzed data from 750 adults in two randomized controlled studies that included smokers motivated to quit and found a gradient in weight gain according to the actual duration of abstinence during follow-up. Subjects who were abstinent for at least 40 weeks gained 4.6 kg (SD = 3.8) on average, compared to 1.2 kg (SD = 2.6) for those who were abstinent less than 20 weeks during the 1-year follow-up. Considering the duration of abstinence as an exposure variable, we found an age effect and a significant interaction between sex and the amount of smoking before quitting: younger subjects gained more weight than older subjects; among light smokers, men gained more weight on average than women one year after quitting, while the opposite was observed among heavy smokers. Young women smoking heavily at baseline had the highest risk of weight gain after quitting.

The dual impact of gender and the influence of timing of parenthood on men’s and women’s career development: Longitudinal findings

This study investigated the impact of gender, the gender-related self-concept (agency and communion), and the timing of parenthood on objective career success of 1,015 highly educated professionals. Hypotheses derived from a dual-impact model of gender and career-related processes were tested in a 5-wave longitudinal study over a time span of 10 years starting with participants’ career entry. In line with our hypotheses we found that the communal component of the gender self-concept had an impact on parenthood, and the agentic component influenced work hours and objective career success (salary, status) of both women and men. Parenthood had a negative direct influence on women’s work hours and a negative indirect influence on women’s objective career success. Women who had their first child around career entry were relatively least successful over the observation period. Men’s career success was independent of parenthood. Sixty-five percent of variance in women’s career success and 33% of variance in men’s career success was explained by the factors analyzed here. Mothers with partners working full time reduced their work hours more than mothers with partners not working full time. A test for a possible reverse influence of career success on the decision to become a parent revealed no effect for men and equivocal effects for women. We conclude that the transition to parenthood still is a crucial factor for women’s career development both from an external gender perspective (expectations, gender roles) and from an internal perspective (gender-related self-concept).