The persistence of pay inequality: The gender pay gap in an anonymous online labor market

Income gap between male and female psychiatric nurses in China: A national survey

AIM

To investigate gender differences in the actual and expected income among psychiatric nurses in China.

BACKGROUND

Although studies have shown that male nurses earn more than female nurses in other countries, there are no published data regarding gender income differences among psychiatric nurses in China.

METHODS

We conducted a cross-sectional study involving 41 representative psychiatric hospitals in China. Demographic, income, and job-related data were analyzed using the inverse probability of treatment weighting (IPTW) based on the propensity score.

FINDINGS

The sample included 9256 psychiatric nurses, and nearly four-fifths (79.3%) were female. Males earned slightly higher average monthly incomes than female nurses, while initial analysis showed no significant overall gender income difference (p > 0.05). Notably, most participants (92.5%) desired an income increase of at least 10%, with over half (56.2%) expressing significant dissatisfaction with their current income. After adjustment using propensity score combined with IPTW, females in the junior and mid-level groups had significantly lower income than their male counterparts (all p < 0.01), despite having different night shift patterns. However, there were no significant gender differences in actual or expected income among senior-level psychiatric nurses (p > 0.05).

CONCLUSION

A majority of psychiatric nurses in China express dissatisfaction with their current incomes and expect higher incomes. Male nurses earned significantly more than female nurses in the junior and mid-level professional groups, potentially due to their differences in night shifts.

IMPLICATIONS FOR NURSING POLICY AND HEALTH POLICY

Policymakers and hospital administrators should optimize the income structures of nurses and develop targeted policies to address the gender income gap. Improving nurse income has the potential to enhance motivation and satisfaction within the profession.

Do mturkers collude in interactive online experiments?

One of the issues that can potentially affect the internal validity of interactive online experiments that recruit participants using crowdsourcing platforms is collusion: participants could act upon information shared through channels that are external to the experimental design. Using two experiments, I measure how prevalent collusion is among MTurk workers and whether collusion depends on experimental design choices. Despite having incentives to collude, I find no evidence that MTurk workers collude in the treatments that resembled the design of most other interactive online experiments. This suggests collusion is not a concern for data quality in typical interactive online experiments that recruit participants using crowdsourcing platforms. However, I find that approximately 3% of MTurk workers collude when the payoff of collusion is unusually high. Therefore, collusion should not be overlooked as a possible danger to data validity in interactive experiments that recruit participants using crowdsourcing platforms when participants have strong incentives to engage in such behavior.

The blessing and curse of "no strings attached": An automated literature analysis of psychological health and non-attachmental work in the digitalization era

Amidst tremendous changes in the worlds of work in light of digitalization, non-attachmental work designs, where individuals gain income without being bound by a fixed administrative attachment to an employer, hold promises of self-actualization along with threats of insecurity. Today's technology boom and the consequent flexibility and uncertainty it brings into workers' lives may translate into inspiring growth opportunities or overloading pressure, contingent upon mental health and wellbeing impacts. This paper first provides a conceptualization of the non-attachmental work designs of the 21st century, before proceeding to an extensive mapping of literature at their intersection with psychological health. This involves a machine-learning-driven review of 1094 scientific articles using topic modeling, combined with in-depth manual content analyses and inductive-deductive cycles of pattern discovery and category building. The resulting scholarly blueprint reveals several tendencies, including a prevalence of positive psychology concepts in research on work designs with high levels of autonomy and control, contrasted with narratives of disempowerment in service- and task-based work. We note that some psychological health issues are researched with respect to specific work designs but not others, for instance neurodiversity and the role of gender in ownership-based work, self-image and digital addiction in content-based work, and ratings-induced anxiety in platform-mediated task-based work. We also find a heavy representation of 'heroic' entrepreneurs, quantitative methods, and western contexts in addition to a surprising dearth of analyses on the roles of policy and technological interventions. The results are positioned to guide academics, decision-makers, technologists, and workers in the pursuit of healthier work designs for a more sustainable future.

Is it ethical to use Mechanical Turk for behavioral research? Relevant data from a representative survey of MTurk participants and wages

To understand human behavior, social scientists need people and data. In the last decade, Amazon's Mechanical Turk (MTurk) emerged as a flexible, affordable, and reliable source of human participants and was widely adopted by academics. Yet despite MTurk's utility, some have questioned whether researchers should continue using the platform on ethical grounds. The brunt of their concern is that people on MTurk are financially insecure, subject to abuse, and earn inhumane wages. We investigated these issues with two representative probability surveys of the U.S. MTurk population (N = 4094). The surveys revealed: (1) the financial situation of people on MTurk mirrors the general population, (2) most participants do not find MTurk stressful or requesters abusive, and (3) MTurk offers flexibility and benefits that most people value above other options for work. People reported it is possible to earn more than $10 per hour and said they would not trade the flexibility of MTurk for less than $25 per hour. Altogether, our data are important for assessing whether MTurk is an ethical place for research.

Association between burnout and adherence with mask usage and additional COVID-19 prevention behaviours: findings from a large-scale, demographically representative survey of US adults

OBJECTIVES

Studies have found associations between occupational burnout symptoms and reduced engagement with healthy behaviours. We sought to characterise demographic, employment and sleep characteristics associated with occupational burnout symptoms, and to evaluate their relationships with adherence to COVID-19 prevention behaviours (mask usage, hand hygiene, avoiding gatherings, physical distancing, obtaining COVID-19 tests if potentially infected).

METHODS

During December 2020, surveys were administered cross-sectionally to 5208 US adults (response rate=65.8%). Quota sampling and survey weighting were employed to improve sample representativeness of sex, age and race and ethnicity. Among 3026 employed respondents, logistic regression models examined associations between burnout symptoms and demographic, employment and sleep characteristics. Similar models were conducted to estimate associations between burnout and non-adherence with COVID-19 prevention behaviours.

RESULTS

Women, younger adults, unpaid caregivers, those working more on-site versus remotely and those with insufficient or impaired sleep had higher odds of occupational burnout symptoms. Burnout symptoms were associated with less frequent mask usage (adjusted odds ratio (aOR)=1.7, 95% CI 1.3-2.1), hand hygiene (aOR=2.1, 95% CI 1.7-2.7), physical distancing (aOR=1.3, 95% CI 1.1-1.6), avoiding gatherings (aOR=1.4, 95% CI 1.1-1.7) and obtaining COVID-19 tests (aOR=1.4, 95% CI 1.1-1.8).

CONCLUSIONS

Disparities in occupational burnout symptoms exist by gender, age, caregiving, employment and sleep health. Employees experiencing occupational burnout symptoms might exhibit reduced adherence with COVID-19 prevention behaviours. Employers can support employee health by addressing the psychological syndrome of occupational burnout.

The impacts of COVID-19 on LGBTQ+ foster youth alumni

BACKGROUND

LGBTQ+ youth frequently experience disparities in outcomes related to permanency and overall well-being while in out-of-home care. These negative outcomes often persist after youth have transitioned out of care, particularly in the domains of housing, education, employment, and mental health. Initial research has found that the ongoing COVID-19 pandemic has exacerbated negative physical and mental health outcomes, as well as decreased economic stability among transition age youth.

OBJECTIVE

This study seeks to determine if COVID-19 has resulted in unique impacts on foster care alumni, and if these impacts are the same for LGBTQ+ and non-LGBTQ+ transition age youth.

PARTICIPANTS AND SETTING

This study used data from the 2020 Jim Casey Youth Opportunities Initiative Opportunity Passport Survey to explore these questions.

METHODS

This survey was administered electronically to a national sample of 1223 youth ages 18-26 with lived experience in foster care.

RESULTS

Results indicate that relative to non-LGBTQ+ foster care alumni, LGBTQ+ foster care alumni experienced more negative outcomes in housing stability, employment, and mental health/trauma due to COVID-19. No significant differences were found for education-related impacts. Outcomes varied by sex assigned at birth, ethnicity, and sexual orientation, gender identity and expression (SOGIE) of respondents, with female respondents, black, indigenous and other people of color (BIPOC) youth and LGBTQ+ youth being most frequently impacted.

CONCLUSIONS

Results indicate that relative to non-LGBTQ+ foster care alumni, LGBTQ+ foster care alumni experienced more negative outcomes in housing stability, employment, and mental health/trauma due to COVID-19. No significant differences were found for education-related impacts. Outcomes varied by sex assigned at birth, ethnicity, and sexual orientation, gender identity and expression (SOGIE) of respondents, with female respondents, BIPOC youth and LGBTQ+ youth being most frequently impacted. Implications for practice and policy are explored.

Hourly Wages in Crowdworking: A Meta-Analysis

In the past decade, crowdworking on online labor market platforms has become an important source of income for a growing number of people worldwide. This development has led to increasing political and scholarly interest in the wages people can earn on such platforms. This study extends the literature, which is often based on a single platform, region, or category of crowdworking, through a meta-analysis of prevalent hourly wages. After a systematic literature search, the paper considers 22 primary empirical studies, including 105 wages and 76,765 data points from 22 platforms, eight different countries, and 10 years. It is found that, on average, microtasks results in an hourly wage of less than $6. This wage is significantly lower than the mean wage of online freelancers, which is roughly three times higher when not factoring in unpaid work. Hourly wages accounting for unpaid work, such as searching for tasks and communicating with requesters, tend to be significantly lower than wages not considering unpaid work. Legislators and researchers evaluating wages in crowdworking need to be aware of this bias when assessing hourly wages, given that the majority of literature does not account for the effect of unpaid work time on crowdworking wages. To foster the comparability of different research results, the article suggests that scholars consider a wage correction factor to account for unpaid work. Finally, researchers should be aware that remuneration and work processes on crowdworking platforms can systematically affect the data collection method and inclusion of unpaid work.

Women in gig economy work less in the evenings

Women have been systematically disadvantaged in the labour market. This could be explained by a complex association of factors, such as the lower speed of women's professional growth within companies, their under-representation in management positions, and the unequal distribution of caregiving and housework between men and women. The rise of the gig economy-a market system that is based on hiring independent contractors and freelance workers as opposed to creating full-time contracts-has brought researchers and policymakers into a discussion on the effects of online platforms and flexible work arrangements on labour market gender parity. In this study, we examine the case of the largest online English-language school in Eastern Europe, Skyeng. Data on 6,461,404 lessons given by 13,571 teachers demonstrate that women had fewer working hours than men in most age categories, but especially for ages 30-35. The workload deficit for the women could be partly attributed to the fact that they worked less often than the men did in the evenings (7-10 p.m.). We conclude that, despite the flexible work arrangements the gig economy has offered, the women taught fewer classes than the men (i.e., having fewer paid working hours), which in turn led to a gender pay gap. The rapid growth of the gig economy makes it important to monitor gender-gap dynamics as well as discuss potential mechanisms eliminating gender inequality in the labour market.

Gender Discrepancies in Neurologist Compensation

ObjectivePrevious studies have shown gender disparities in physician pay in various specialties. This retrospective, cross-sectional study evaluated data from the AAN Compensation and Productivity Survey for differences in neurologist compensation by gender.MethodsOf the 3268 completed surveys submitted, 2719 were from neurologists and 1466 had sufficient data for analysis (551 women, 951 men respondents). We calculated an hourly wage from full time equivalent (FTE) status and weeks worked per year. We evaluated differences in men and women neurologist compensation with multivariable generalized linear models adjusting for race, ethnicity, geographic region, practice setting, years in practice, call status, leadership role, and subspecialty.ResultsBaseline characteristics for men and women neurologists were similar with the exception of subspecialty distribution. More men were practicing in higher-wage subspecialties compared to women (p < 0.05). Mean FTE equivalent annual salary for all neurologists was $280,315 and mean standardized hourly compensation was $131. Estimated annual salary for women was 10.7% less (p ≤ 0.001, 95% CI -4% - 16%), after controlling for race, region, years of practice, practice setting, call status, leadership role and subspecialty-wage category. FTE equivalent annual salary for women neurologists in high compensation specialties ($281,838) was lower than both the mean annual salary for men neurologists in high compensation ($365,751) and low compensation subspecialties ($282,813). When broken down by years of practice, the highest earning women neurologists' mean hourly wage (11 - 20 years of practice, $128/hour) was less than all men neurologists except those with 0 - 5 years of practice ($125/hour).ConclusionThis study, using convenience sample data, adds to the existing body of evidence demonstrating that, despite adjustment for multiple confounding variables, ongoing disparities exist in physician compensation. Despite efforts by professional societies such as the AAN, ongoing systemic issues and barriers exist. Further research into underlying causes and mitigation strategies is recommended; use of probability sampling methods in future research will be important to decrease potential bias and increase generalizability.

Turking in the time of COVID

On March 16, 2020, the US Government introduced strict social distancing protocols for the United States in an effort to stem the spread of the COVID-19 pandemic. This had an immediate major effect on the job market, with millions of Americans forced to find alternative ways to make a living from home. As online labor markets like Amazon Mechanical Turk (MTurk) play a major role in social science research, concerns have been raised that the pandemic may be reducing the diversity of subjects participating in experiments. Here, we investigate this possibility empirically. Specifically, we look at 15,539 responses gathered in 23 studies run on MTurk between February and July 2020, examining the distribution of gender, age, ethnicity, political preference, and analytic cognitive style. We find notable changes on some of the measures following the imposition of nationwide social distancing: participants are more likely to be less reflective (as measured by the Cognitive Reflection Test), and somewhat less likely to be white, Democrats (traditionally over-represented on MTurk), and experienced with MTurk. Most of these differences are explained by an influx of new participants into the MTurk subject pool who are more diverse and representative – but also less attentive – than previous MTurkers.