24 research outputs found

    ā€œKeep your distance for meā€: A field experiment on empathy prompts to promote distancing during the COVID-19 pandemic

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    The outbreak of COVID-19 has turned out to be a major challenge to societies all over the globe. Curbing the pandemic requires rapid and extensive behavioural change to limit social interaction, including physical distancing. In this study, we tested the notion that inducing empathy for people vulnerable to the virus may result in actual distancing behaviour beyond the mere motivation to do so. In a large field experiment with a sequential caseā€“control design, we found that (a) empathy prompts may increase distancing as assessed by camera recordings and (b) effectiveness of prompts depends on the dynamics of the pandemic and associated public health policies. In sum, the present study demonstrates the potential of empathy-generating interventions to promote pro-social behaviour and emphasizes the necessity of field experiments to assess the role of context before advising policy makers to implement measures derived from behavioural science. Please refer to Supplementary Material to find this article's Community and Social Impact Statement

    Parental Age in Relation to Offspring's Neurodevelopment

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    Objective: Advanced parenthood increases the risk of severe neurodevelopmental disorders like autism, Down syndrome and schizophrenia. Does advanced parenthood also negatively impact offspringā€™s general neurodevelopment? Method: We analyzed child-, father-, mother- and teacher-rated attention-problems (N = 38,024), and standardized measures of intelligence (N = 10,273) and educational achievement (N = 17,522) of children from four Dutch population-based cohorts. The mean age over cohorts varied from 9.73ā€“13.03. Most participants were of Dutch origin, ranging from 58.7%-96.7% over cohorts. We analyzed 50% of the data to generate hypotheses and the other 50% to evaluate support for these hypotheses. We aggregated the results over cohorts with Bayesian research synthesis. Results: We mostly found negative linear relations between parental age and attention-problems, meaning that offspring of younger parents tended to have more attention problems. Maternal age was positively and linearly related to offspringā€™s IQ and educational achievement. Paternal age showed an attenuating positive relation with educational achievement and an inverted U-shape relation with IQ, with offspring of younger and older fathers at a disadvantage. Only the associations with maternal age remained after including SES. The inclusion of child gender in the model did not affect the relation between parental age and the study outcomes. Conclusions: Effects were small but significant, with better outcomes for children born to older parents. Older parents tended to be of higher SES. Indeed, the positive relation between parenta

    Bayesian evidence synthesis in case of multi-cohort datasets: An illustration by multi-informant differences in self-control

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    The trend toward large-scale collaborative studies gives rise to the challenge of combining data from different sources efficiently. Here, we demonstrate how Bayesian evidence synthesis can be used to quantify and compare support for competing hypotheses and to aggregate this support over studies. We applied this method to study the ordering of multi-informant scores on the ASEBA Self Control Scale (ASCS), employing a multi-cohort design with data from four Dutch cohorts. Self-control reports were collected from mothers, fathers, teachers and children themselves. The available set of reporters differed between cohorts, so in each cohort varying components of the overarching hypotheses were evaluated. We found consistent support for the partial hypothesis that parents reported more self-control problems than teachers. Furthermore, the aggregated results indicate most support for the combined hypothesis that children report most problem behaviors, followed by their mothers and fathers, and that teachers report the fewest problems. However, there was considerable inconsistency across cohorts regarding the rank order of children's reports. This article illustrates Bayesian evidence synthesis as a method when some of the cohorts only have data to ev

    Sample size requirements to accurately compare development between unbalanced subgroups in latent growth models

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    The research project answered with this project is: What are the sample size and sample size ratio requirements for an accurate comparison of development by ML (maximum likelihood), and Bayesian estimation in a two-group LGM ( latent growth modeling) with four measurements and one covariate when the smaller group has a sample size of 10

    Sample size requirements to accurately compare development between unbalanced subgroups in latent growth models

    No full text
    The research project answered with this project is: What are the sample size and sample size ratio requirements for an accurate comparison of development by ML (maximum likelihood), and Bayesian estimation in a two-group LGM ( latent growth modeling) with four measurements and one covariate when the smaller group has a sample size of 10

    Testing replication with small samples: Applications to ANOVA

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    Findings based on small samples can offer important insights, but original small sample findings should be replicated before strong conclusions can be drawn. In this chapter, we present four common replication research questions: (1) whether the new effect size is similar to the original effect size, (2) whether the new effect size differs from the original effect size, (3) whether the conclusions based on new results differ from the original conclusions, and (4) what the effect size is in the population. For each of these research questions, we discuss appropriate evaluation methods: replication Bayes factors, confidence intervals, prediction intervals, the prior predictive p-value, and bias-corrected meta-analysis methods. Each method is illustrated for the replication of an ANOVA and associated post hoc t-test. Annotated R-code for all analyses is provided with the chapter

    Safety behaviors toward innocuous stimuli can maintain or increase threat beliefs

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    Safety behaviors can prevent or minimize a feared outcome. However, in relatively safe situations, they may be less adaptive, presumably because people will misattribute safety to these behaviors. This research aimed to investigate whether safety behaviors in safe situations can lead to increased threat beliefs. In Study 1, we aimed to replicate a fear conditioning study (N = 68 students) in which the experimental, but not the control group, received the opportunity to perform safety behavior to an innocuous stimulus. From before to after the availability of the safety behavior, threat beliefs persisted in the experimental group, while they decreased in the control group. In Study 2, we examined whether threat beliefs had actually increased for some individuals in the experimental group, using a multi-dataset latent class analysis on data from Study 1 and two earlier studies (N = 213). Results showed that about a quarter of individuals who performed safety behavior toward the innocuous stimulus showed increased threat expectancy to this cue, while virtually nobody in the control group exhibited an increase. Taken together, safety behavior in relatively safe situations may have maladaptive effects as it generally maintains and sometimes even increases threat beliefs
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