Who do we trust? Differences in types of trust and beliefs in conspiracy theories between vaccinated and unvaccinated Europeans across 17 European countries

A plethora of research has highlighted that trust in science, political trust, and conspiracy theories are all important contributors to vaccine uptake behavior. In the current investigation, relying on data from 17 countries (N = 30,096) from the European Social Survey we examined how those who received (and wanted to receive the COVID-19 vaccine) compared to those who did not differ in their trust in: science, politicians and political parties, international organizations and towards people in general. We also examined whether they differed in how much they believed in conspiracy theories. Those who received (or wanted to receive) the COVID vaccine scored significantly higher in all forms of trust, and lower in conspiracy theory beliefs. A logistic regression suggested that trust in science, politicians, international organizations, as well as belief in conspiracy theories were significant predictors, even after accounting for key demographic characteristics.     

Ecological assessments of community disorder: Their relationship to fear of crime and theoretical implications

Researchers suggest that fear of crime arises from community disorder, cues in the social and physical environment that are distinct from crime itself. Three ecological methods of measuring community disorder are presented: resident perceptions reported in surveys and on-site observations by trained raters, both aggregated to the street block level, and content analysis of crime- and disorder-related newspaper articles aggregated to the neighborhood level. Each method demonstrated adequate reliability and roughly equal ability to predict subsequent fear of crime among 412 residents of 50 blocks in 50 neighborhoods in Baltimore, MD. Pearson and partial correlations (controlling for sex, race, age, and victimization) were calculated at multiple levels of analysis: individual, individual deviation from block, and community (block/neighborhood). Hierarchical linear models provided comparable results under more stringent conditions. Results linking different measure of disorder with fear, and individual and aggregated demographics with fear inform theories about fear of crime and extend research on the impact of community social and physical disorder. Implications for ecological assessment of community social and physical environments are discussed.     

A Comparison of ML,WLSMV, and Bayesian Methods for Multilevel Structural Equation Models in Small Samples: A Simulation Study

Multilevel structural equation models are increasingly applied in psychological research. With increasing model complexity, estimation becomes computationally demanding, and small sample sizes pose further challenges on estimation methods relying on asymptotic theory. Recent developments of Bayesian estimation techniques may help to overcome the shortcomings of classical estimation techniques. The use of potentially inaccurate prior information may, however, have detrimental effects, especially in small samples. The present Monte Carlo simulation study compares the statistical performance of classical estimation techniques with Bayesian estimation using different prior specifications for a two-level SEM with either continuous or ordinal indicators. Using two software programs (Mplus and Stan), differential effects of between- and within-level sample sizes on estimation accuracy were investigated. Moreover, it was tested to which extent inaccurate priors may have detrimental effects on parameter estimates in categorical indicator models. For continuous indicators, Bayesian estimation did not show performance advantages over ML. For categorical indicators, Bayesian estimation outperformed WLSMV solely in case of strongly informative accurate priors. Weakly informative inaccurate priors did not deteriorate performance of the Bayesian approach, while strong informative inaccurate priors led to severely biased estimates even with large sample sizes. With diffuse priors, Stan yielded better results than Mplus in terms of parameter estimates.     

From Stigmatized Immigrants to Radical Right Voting: A Multilevel Study on the Role of Threat and Contact

This study examines the interplay between presence of stigmatized immigrants, threat, and intergroup contact that underlies radical right voting (voting propensity and actual district‐level vote results). On the one hand, low‐status immigrants are often stigmatized and depicted as threats. Thus, presence of stigmatized immigrants should heighten threat perceptions, thereby increasing radical right voting. On the other hand, as positive contact with stigmatized immigrants is known to reduce anti‐immigrant prejudice, it should also attenuate radical right voting. As predicted, multilevel path analyses with the Swiss Election Studies 2011 data (N = 1,736 respondents in 136 districts) revealed that the proportion of stigmatized immigrants (from former Yugoslavia and Albania) in districts heightened perceived threat. Threat perceptions, in turn, increased propensity to vote for the Swiss People's Party, the major radical right party. In contrast, experiencing positive, everyday contact with former Yugoslav and Albanian immigrants reduced voting propensity through attenuated threat perceptions. Contact and threat perceptions were also related to the actual vote through voting propensity.     

Sex and age group differences in the associations between sleep duration and BMI from adolescence to young adulthood

Objective: We examine concurrent and longitudinal associations between sleep duration (SD) and body mass index (BMI) from adolescence to young adulthood, controlling for physical activity and internalising symptoms. Sex and age group differences (early adolescent group ages 12–15 years and late adolescent group ages 16–18 years) are examined.

Design: A randomly selected community-based sample of youth (N = 662; 48.3% males) were surveyed biannually from 2003 (T1) to 2014 (T6).

Results: We found sex and age group differences for the concurrent and longitudinal associations between SD and BMI. For males, shorter SD at baseline was concurrently related to higher BMI. For females, shorter SD at baseline was associated with longitudinal increases in BMI, for the late adolescent group only.

Conclusion: Findings show that the association between SD and BMI, previously shown in childhood, continues to be significant in adolescence and young adulthood. Developmentally appropriate and sex-specific strategies for motivating and supporting healthy sleep habits in adolescence that may help to prevent weight gain into young adulthood are discussed.     

Finding a Life Worth Living: Meaning in Life and Graduation from College

Graduation from college is an important milestone for young adults, marked by mixed emotions and poignancy, and therefore is an especially salient context for studying meaning in life. The present research used experience‐sampling methodology to examine the antecedents and consequences of students' experience of meaning in life over the course of graduation. Participants were 74 graduating students who provided a total of 538 reports over the span of 3 days, including commencement day. Increased levels of state meaning in life during the days around commencement were linked to spending time with people in general and with family in particular, and thinking about one's years in college. Thinking about one's years in college mediated the effects of present company on state meaning in life. Graduates who experienced higher levels of state meaning in life during the days around their commencement ceremony had higher trait levels of meaning in life 1 week following commencement. We discuss how making meaning of a poignant experience has implications for healthy psychological development. Copyright © 2016 European Association of Personality Psychology     

题目位置效应的概念及检测

题目位置效应(Item Position Effect, IPE)是指在剔除随机误差的影响之后, 同一道题目在不同测验间因题目位置的变化而导致题目参数的变化。IPE的存在会严重威胁依赖于项目反应理论参数不变性特征的相关应用, 比如测验等值和计算机化自适应测验。目前关于这一领域的研究主要集中于对IPE的检测, 而对所检测到的效应进行进一步的解释, 则是今后的研究重点。另外, 在不同的研究情境下深入探讨IPE, 对于基础研究领域和实践领域都具有重要意义。     

Modelling inter-individual differences in latent within-person variation: The confirmatory factor level variability model

Psychological theories often produce hypotheses that pertain to individual differences in within-person variability. To empirically test the predictions entailed by such hypotheses with longitudinal data, researchers often use multilevel approaches that allow them to model between-person differences in the mean level of a certain variable and the residual within-person variance. Currently, these approaches can be applied only when the data stem from a single variable. However, it is common practice in psychology to assess not just a single measure but rather several measures of a construct. In this paper we describe a model in which we combine the single-indicator model with confirmatory factor analysis. The new model allows individual differences in latent mean-level factors and latent within-person variability factors to be estimated. Furthermore, we show how the model's parameters can be estimated with a maximum likelihood estimator, and we illustrate the approach using an example that involves intensive longitudinal data.     

Standard errors of two-level scalability coefficients

For the construction of tests and questionnaires that require multiple raters (e.g., a child behaviour checklist completed by both parents) a novel ordinal scaling technique is currently being further developed, called two-level Mokken scale analysis. The technique uses within-rater and between-rater coefficients to assess the scalability of the test. These coefficients are generalizations of Mokken's scalability coefficients. In this paper we derived standard errors for the two-level coefficients and for their ratios. The coefficients, the estimates, the estimated standard errors and the software implementation are discussed and illustrated using a real-data example, and a small-scale simulation study demonstrates the accuracy of the estimates.     

Selection of gender‐incongruent applicants: No gender bias with structured interviews

Research suggests that the use of structured interviews can reduce gender bias in hiring. However, studies have been limited to gender‐neutral professions or laboratory simulations. The current study evaluated two components of the structured interview in a field sample of 691 applicants interviewing for a male‐dominated position of public transit operator. Multilevel modeling results show no significant differences in ratings across applicant gender with this highly structured interview. This relation was found in individual interviewer ratings and consensus panel ratings, as well as irrespective of interviewer gender and interviewer participation in comprehensive versus minimal training in structured interviewing. This study provided a conservative test in a male‐dominated profession to further validate the value of the structured interview for promoting equal hiring practices.