Intentional response distortion during the COVID-19 pandemic

COVID-19 has abruptly and unexpectedly transformed nearly every aspect of work, including but not limited to increased unemployment rates and uncertainty regarding future job prospects. Response distortion has always been a concern given that many organizations rely on information that is self-reported by applicants regarding their potential employability (e.g., responses to self-reported personality instruments, resumes, interview responses). Drawing from the Valence-Instrumentality-Expectancy (VIE) theory of motivation, we propose that the uncertainty surrounding jobs may lead to amplified distorted responses on these measures in areas where COVID-19 was most salient. In a sample of 213 working adults [~50% female, age M = 38.48], the present study shows that increases in response distortion on a measure of conscientiousness were more pronounced as a function of (a) local COVID positivity rates and (b) job type, such that frontline workers distorted their responses the most. Findings are discussed in the context of VIE theory, personality measurement, and challenges with maintaining effective selection procedures.     

Free-range domestic chickens can distinguish between different alarm calls of Japanese tits

Animal Cognition - Heterospecific eavesdropping of alarm information is an anti-predator adaptation in the wild as it improves the monitoring of shared predators and hence provides opportunities to...     

Llamas use social information from conspecifics and humans to solve a spatial detour task

Animal Cognition - Learning by observing others (i.e. social learning) is an important mechanism to reduce the costs of individual learning. Social learning can occur between conspecifics but also...     

Effect of perceived public stigma on internalized homophobia,anticipated stigma,shame, and guilt: Outness as a moderator

Although previous studies found that distal minority stress contributes to proximal minority stress and shame/guilt among the lesbian, gay, and bisexual (LGB) population, it is unclear whether the extent to which LGB individuals' open display and discussion their sexual orientation moderates these relationships. A total of 1,452 Chinese LGB adults provided demographic information and completed measures of outness, perceived public stigma, internalized homophobia, anticipated stigma, shame, and guilt. Structural equation modelling was conducted to test the hypothesized moderation analyses. Perceived public stigma had positive associations with internalized homophobia, anticipated stigma, shame, and guilt. Outness played a moderating role in the associations of perceived public stigma with internalized homophobia, anticipated stigma, shame, and guilt. Specifically, when LGB individuals had higher levels of outness, the effects of perceived public stigma on internalized homophobia, anticipated stigma, shame, and guilt were lower. Moreover, such moderating effect did not differ by sexual orientation. The degree to which sexual minority individuals' sexual orientation is known by and openly discussed with others may lower the extent to which LGB individuals internalize sexual stigma, expect rejection after coming out, and develop shame and guilt as a result of perceived social prejudice and discrimination.     

Premature conclusions about the signal-to-noise ratio in structural equation modeling research: A commentary on Yuan and Fang (2023)

In a recent article published in this journal, Yuan and Fang (British Journal of Mathematical and Statistical Psychology, 2023) suggest comparing structural equation modeling (SEM), also known as covariance-based SEM (CB-SEM), estimated by normal-distribution-based maximum likelihood (NML), to regression analysis with (weighted) composites estimated by least squares (LS) in terms of their signal-to-noise ratio (SNR). They summarize their findings in the statement that “[c]ontrary to the common belief that CB-SEM is the preferred method for the analysis of observational data, this article shows that regression analysis via weighted composites yields parameter estimates with much smaller standard errors, and thus corresponds to greater values of the [SNR].” In our commentary, we show that Yuan and Fang have made several incorrect assumptions and claims. Consequently, we recommend that empirical researchers not base their methodological choice regarding CB-SEM and regression analysis with composites on the findings of Yuan and Fang as these findings are premature and require further research.     

“均”与“寡”阶段性变动下中国居民公平感的变迁

利用中国综合社会调查和中国社会状况综合调查重复截面数据,通过年龄-时期-队列模型对居民公平感的时代变化进行分析。研究发现公平感在年龄上呈“J”型趋势;从时期效应看, 2008年公平感较高, 2010～2013年在低谷徘徊,2015年以后又开始回升;从队列视角看,建国前出生队列公平感偏低,建国后初期的队列相对较高,“50”后有所下滑,从“60”后开始公平感持续走低,到“80”后跌入低谷,但“90”后又开始升高。从1949年前后“寡且不均”到建国初期阶段的“寡且均”,再到改革开放40年快速经济增长下“不寡但不均”的社会变迁过程影响了居民的公平感。     

Intra- and interpersonal factors and adolescent wellbeing during COVID-19 in three countries

COVID-19 has altered adolescents' opportunities for developing and strengthening interpersonal skills and proficiencies. Using data from adolescents in Italy, the United States, and the United Kingdom, we examined the relation between internalizing symptoms assessed pre-pandemic or when pandemic-related restrictions were lifted (Time 1) and associated internalizing symptoms during a subsequent restrictive pandemic period (Time 2). Across all 3 countries, we found significant and consistent effect sizes in the relation between Time 1 and Time 2 internalizing symptoms. We further examined the direct and moderating impact of self-efficacy and contextual supports for adolescents' internalizing symptoms. Higher self-efficacy was associated with lower levels of internalizing symptoms at Time 2 in all 3 countries. Additionally, the relation between Time 1 and 2 internalizing symptoms was buffered by regulatory self-efficacy and peer support in Italy, but in the U.S., higher levels of general self-efficacy instead had an exacerbating effect on the relation between Times 1 and 2 internalizing symptoms. Results are discussed in the context of utilizing cross-national datasets to examine similarities in adolescent well-being over time and in the face of varying government responses to the pandemic.     

Coping with COVID: Use,factor structure,and health behavior implications of specific emotion regulation strategies during the coronavirus pandemic

This series of studies examined U.S. individuals' use of specific emotion regulation/coping strategies during the early months of the COVID-19 pandemic, investigated the factor structure among strategies during this universally experienced stressor, and the extent to which these factors predicted engagement in COVID-related health-promoting behaviors. In Study 1, participants (N = 520) rated their use of 17 strategies for coping with pandemic-related stress during the past 24 h. Differences emerged in strategy use across demographic groups (age, race, income). Results of exploratory factor analysis suggest a factor structure grouping strategies in terms of goals beyond emotion regulation per se, rather than phases of the emotion process or a binary adaptive versus maladaptive distinction. In Study 2 (N = 264), participants reported daily on their coping strategy use and weekly on their engagement in COVID-specific health behaviors for 22 days. Results of confirmatory factor analysis replicate the factor structure found in Study 1. Some significant associations of coping strategy use with health-promoting behaviors were observed, but these were sporadic and largely involved baseline measures rather than predicting change over time. Theoretical and practical implications are discussed.