Faster ≠ Smarter: Children with Higher Levels of Ability Take Longer to Give Incorrect Answers, Especially When the Task Matches Their Ability.

The stereotype that children who are more able solve tasks quicker than their less capable peers exists both in and outside education. The F > C phenomenon and the distance-difficulty hypothesis offer alternative explanations of the time needed to complete a task; the former by the response correctness and the latter by the relative difference between the difficulty of the task and the ability of the examinee. To test these alternative explanations, we extracted IRT-based ability estimates and task difficulties from a sample of 514 children, 53% girls, M(age) = 10.3 years; who answered 29 Piagetian balance beam tasks. We used the answer correctness and task difficulty as predictors in multilevel regression models when controlling for children's ability levels. Our results challenge the 'faster equals smarter' stereotype. We show that ability levels predict the time needed to solve a task when the task is solved incorrectly, though only with moderately and highly difficult items. Moreover, children with higher ability levels take longer to answer items incorrectly, and tasks equal to children's ability levels take more time than very easy or difficult tasks. We conclude that the relationship between ability, task difficulty, and answer correctness is complex, and warn education professionals against basing their professional judgment on students' quickness.

Infant attachment in the Czech Republic: Categorical and dimensional findings from a post-communist country.

Infant attachment remains virtually unexplored in former Eastern Bloc countries. The dimensional approach to infant attachment, which could ease common obstacles in cross-cultural attachment research, necessitates more empirical support. This study explores infant attachment in the Czech Republic, a post-communist country with a unique family policy, using both the categorical and the dimensional models. It also compares the Czech infant attachment distribution to infant attachment distributions in other countries and compares infant attachment distributions in European countries to the Baltimore study sample. In the Strange Situation Procedure, forty-nine (74 %) out of sixty-six mother-infant dyads (35 boys, M = 13.8, SD = 0.9) received the B classification. Despite the generous family policy and cultural emphasis on close mother-infant relationships, the Czech distribution of insecure categories did not differ from the Baltimore study sample. Out of other post-communist countries, only the infant attachment distribution in former East Germany differed from the Czech and the Baltimore study samples due to a lower proportion of type B and a higher proportion of type A infants. There were also more type A infants in the Italian sample. Interactive behavior scales accurately predicted attachment categories in 91 % of cases. Contact-maintenance and proximity-seeking scales substantially improve the assessment of insecure resistant behavior. Our findings support the universality and normativity of attachment and the utility of the dimensional approach.

Isovists compactness and stairs as predictors of evacuation route choice.

The building design is a crucial factor that can be actively adjusted and optimized to prevent human and property threats in emergency scenarios. Previous research suggests that specific building layouts may significantly influence human behaviour during evacuation. However, detailed empirical data about human behaviour in various types of buildings with different layouts are still missing and only marginal recommendations from this field are reflected in actual construction practice. In this study, desktop VR technologies were employed to study human decision-making in problematic T-intersections in the context of an emergency evacuation. More specifically, we studied fundamental attributes of buildings such as the width and length of the corridors and the presence of stairs to explore how they influence the choice of the evacuation route. The space-syntax isovist method was used to describe spatial parameters of corridors, which makes the results applicable to all buildings. Behavioural data from 208 respondents were analysed using multilevel regression models. Our results support previous claims concerning the importance of specific spatial layouts of evacuation corridors because respondents systematically chose wider and shorter corridors with visible staircases as the preferred evacuation route. The present findings further promote the ongoing discussion on the design of marked evacuation routes and building design that takes human factors into consideration.

Researching the Links Between Smartphone Behavior and Adolescent Well-being With the FUTURE-WP4 (Modeling the Future: Understanding the Impact of Technology on Adolescent's Well-being Work Package 4) Project: Protocol for an Ecological Momentary Assessment Study.

BACKGROUND: Smartphone ownership has increased among teens within the last decade, with up to 89% of adolescents owning a smartphone and engaging daily with the online world through it. Although the results of recent meta-analyses suggest that engaging digital technology plays only a small role in adolescent well-being, parents, professionals, and policymakers remain concerned about the impact that the instant connectivity of smartphones has on adolescent well-being. OBJECTIVE: Herein, we introduce the protocol of a research study investigating the associations between adolescent smartphone use and different facets of well-being (social, physical, and psychological), with the aim to apply innovative methods to address the limitations of existing empirical studies. METHODS: This 12-month prospective study of adolescents uses a repeated measurement-burst design with the ecological momentary assessment methodology. Adolescents (N=203; age range 13-17 years) complete baseline assessments through online questionnaires, four 14-day intensive data collection bursts, and an online questionnaire at the end of the study. As part of the 4 measurement bursts, adolescent smartphone behavior is assessed objectively by passive data collection of smartphone data logs and through self-reports in short questionnaires administered via a custom-built Android app. RESULTS: The protocol describes the study objectives, research tools (including the development of the Android app and specialized software), and process (including pilot studies, the main study, and targets for machine learning approaches). Two of the 203 enrolled participants provided no data during the first data collection burst of the main study. Preliminary analyses of the data from the first data collection burst indicated an acceptable level of compliance (72.25%) with the daily questionnaires. The design of the study will allow for the assessment of both within- and between-person variabilities in smartphone behavior, as well as short-term variation and long-term change in smartphone behavior and how it impacts the indicators of social, physical, and psychological well-being. CONCLUSIONS: The innovative methods applied in this study (objective smartphone logs, ecological momentary assessment, and machine learning) will allow for a more nuanced assessment of the links between smartphone use and well-being, informing strategies to help adolescents navigate the online world more constructively in terms of the development of their physical, social, and psychological well-being. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/35984.