Content in Context Improves Deception Detection Accuracy

Past research has shown that people are only slightly better than chance at distinguishing truths from lies. Higher accuracy rates, however, are possible when contextual knowledge is used to judge the veracity of situated message content. The utility of content in context was shown in a series of experiments with students (N = 26, 45, 51, 25, 127) and experts (N = 66). Across studies, average accuracy was 75% in the content in context groups compared with 57% in the controls. These results demonstrate the importance of situating judges within a meaningful context and have important implications for deception theory.     

Coach Expectations and Athlete Lay Beliefs: Interactions When Predicting Adolescent Athletes’ Enjoyment and Intentions to Return

The purpose of this study was to explore how athlete lay beliefs and coach expectations for athletes’ capacity to change interact when predicting enjoyment and intentions to continue in sport. Athletes (N = 202) and their 19 coaches completed surveys. Athletes with strong incremental (i.e., growth) mind-sets reported more enjoyment from affiliation and expending effort. Athletes with strong entity (i.e., fixed) mind-sets reported lower enjoyment from self-improvement, affiliation, and excitement. Regarding interactions, although athletes reported lower intentions and self-improvement enjoyment when a coach believed they had little likelihood of developing, these associations were attenuated for athletes with strong incremental mind-sets.     

Detection of Cognitive Structure with Protocol Data: Predicting Performance on Physics Transfer Problems

This article presents a cognitive map proposed to be associated with understanding of the “system concept,” one component of the physics principle of Newton's second low. A definition of the concept is followed by the results of a problem-solving experiment designed to investigate whether or not good problem solvers possess cognitive structures similar to the one proposed. Think-aloud protocols were collected as subjects solved a series of physics problems involving Newton's second law. Coding schemes were used to analyze these protocols and to develop a quantitative index intended to reflect the extent to which subjects possessed certain components of the proposed structure. This index proved a highly significant predictor of performance on Newton's second law transfer problems contained in a written exam. In contrast, performance on a set of familiar problems in the same written exam was not a good predictor of performance on transfer problems. These results indicate that cognitive structures that connect the equation ΣF = ma and the concept of choosing appropriate systems are at least part of what constitutes understanding of the principle of Newton's second law. Implications for physics education and problem-solving research are presented.     

Lexical and sublexical cortical tuning for print revealed by Steady-State Visual Evoked Potentials (SSVEPs) in early readers

There are multiple levels of processing relevant to reading that vary in their visual, sublexical, and lexical orthographic processing demands. Segregating distinct cortical sources for each of these levels has been challenging in EEG studies of early readers. To address this challenge, we applied recent advances in analyzing high-density EEG using Steady-State Visual Evoked Potentials (SSVEPs) via data-driven Reliable Components Analysis (RCA) in a group of early readers spanning from kindergarten to second grade. Three controlled stimulus contrasts—familiar words versus unfamiliar pseudofonts, familiar words versus pseudowords, and pseudowords versus nonwords—were used to isolate coarse print tuning, lexical processing, and sublexical orthography-related processing, respectively. First, three overlapping yet distinct neural sources—left vOT, dorsal parietal, and primary visual cortex were revealed underlying coarse print tuning. Second, we segregated distinct cortical sources for the other two levels of processing: lexical fine tuning over occipito-temporal/parietal regions; sublexical orthographic fine tuning over left occipital regions. Finally, exploratory group analyses based on children's reading fluency suggested that coarse print tuning emerges early even in children with limited reading knowledge, while sublexical and higher-level lexical processing emerge only in children with sufficient reading knowledge.

Research Highlights

• Cognitive processes underlying coarse print tuning, sublexical, and lexical fine tuning were examined in beginning readers.
• Three overlapping yet distinct neural sources—left ventral occipito-temporal (vOT), left temporo-parietal, and primary visual cortex—were revealed underlying coarse print tuning.
• Responses to sublexical orthographic fine tuning were found over left occipital regions, while responses to higher-level linguistic fine tuning were found over occipito-temporal/parietal regions.
• Exploratory group analyses suggested that coarse print tuning emerges in children with limited reading knowledge, while sublexical and higher-level linguistic fine tuning effects emerge in children with sufficient reading knowledge.