When the internet is wrong: Children’s trust in an inaccurate internet or human source

Prior studies have shown that children can select and evaluate information based on the previous accuracy of an informant. The current study examines how 5- to 6-year-old kindergarteners (N = 46) and 7- to 8-year-old second-graders (N = 48) in China judge scientific information provided by the internet or a teacher, and how a source's history of inaccuracy influences participants’ judgments. When lacking explicit information about previous accuracy, neither younger children nor older children showed differential trust in the internet or a teacher. After observing the internet providing inaccurate information, children in both age groups decreased their trust in statements from the internet. When the teacher was consistently inaccurate, children in both age groups also showed reduced preference for the teacher's statements. These findings demonstrate that 5- to 8-year-old children take into account history of inaccuracy when deciding whether to request or endorse information from the internet or a teacher.     

Why worry? Worry, risk perceptions, and willingness to act to reduce medical errors.

Through the domain of medical errors, the role of worry and perceived risk in precautionary behaviors was examined in a convenience sample (N = 195, mean age = 42 years, 71% female). Worry was linked to fatality estimates. A model of the antecedents and consequences of worry also was tested. Risk characteristics such as dread and preventability, negative reactivity, and vulnerability to medical errors appeared to motivate worry about medical errors. Worry about medical errors was a better predictor of intentions to take precautionary actions than were risk perceptions. An understanding of how worry influences preventive efforts will help in building communication strategies to the public and in effectively engaging patients in the role of vigilant partner in care.     

Regression away from the mean: Theory and examples

Using a standard repeated measures model with arbitrary true score distribution and normal error variables, we present some fundamental closed-form results which explicitly indicate the conditions under which regression effects towards (RTM) and away from the mean are expected. Specifically, we show that for skewed and bimodal distributions many or even most cases will show a regression effect that is in expectation away from the mean, or that is not just towards but actually beyond the mean. We illustrate our results in quantitative detail with typical examples from experimental and biometric applications, which exhibit a clear regression away from the mean (‘egression from the mean’) signature. We aim not to repeal cautionary advice against potential RTM effects, but to present a balanced view of regression effects, based on a clear identification of the conditions governing the form that regression effects take in repeated measures designs.     

The Benefit of Forgetting Suicidal Ideation

In a sample of young adult Australians, those who had had suicidal ideation but who did not acknowledge ever having had it when asked 4 years later, were experiencing better mental health, as demonstrated by significantly better functioning on a range of psychometric measures, than those who recalled it. These results are consistent with several recent reports and indicate that forgetting painful events such as suicidal ideation is an adaptive defense mechanism. This has implications in terms of therapy focusing on contemporaneous events and the future, rather than on the past.