In the past year, considerable misinformation about the COVID-19 pandemic has circulated on social media platforms. Faced with this pervasive issue, it is important to identify the extent to which people are able to spot misinformation on social media and ways to improve people’s accuracy in spotting misinformation. Therefore, the current study aims to investigate people’s accuracy in spotting misinformation, the effectiveness of a game-based intervention, and the role of political affiliation in spotting misinformation. In this study, 235 participants played a misinformation game in which they evaluated COVID-19-related tweets and indicated whether or not they thought each of the tweets contained misinformation. Misinformation accuracy was measured using game scores, which were based on the correct identification of misinformation. Findings revealed that participants’ beliefs about how accurate they are at spotting misinformation about COVID-19 did not predict their actual accuracy. Participants’ accuracy improved after playing the game, but democrats were more likely to improve than republicans.

This study examines how a 2013 Arizona law on shared parenting would affect living arrangements, and thus mental health measures. There were two hypotheses. According to the Law Change Hypothesis, it was hypothesized that parenting time in Arizona would be more equal following the 2013 Arizona law change while there would be no change in parenting time in other states following the 2013 Arizona law change. It was further hypothesized that child mental health would be better after the law change in Arizona with no change being seen in other states. Results of this study were almost completely inconsistent with the hypothesis. According to the Law Reflect Hypothesis, the law is actually reflecting the behavior of the community and their thoughts on equal parenting time becoming more favorable, and therefore a change towards more equal parenting time would be found prior to 2013 in Arizona with no change seen in other states. Furthermore, as the Arizona community’s behavior changed, child mental health would be better with no change being seen in other states. Regressions found that a small change toward more equal parenting and closeness with father was prior to 2013 for Arizona students, compared to out-of-state students, although it did not find that the year of divorce resulted in less anxiety, stress, and depression. This partially agrees with past research that the 2013 law is working as intended, even if it started working earlier than we thought. This does not agree with previous research stating there is a connection between equal parenting and better mental health. This is important because this study questions the efficacy of an important and controversial policy. If future studies are consistent with this one, the effectiveness of the Arizona 2013 law change on mental health will need to be further evaluated.

When a sports performance is at its peak, it is akin to a musical performance in the sense that each player seems to perform their part effortlessly, creating a rhythmic flow of counterparts all moving as one. Rhythm and timing are vital elements in sports like basketball in which syncopated passing and shooting appear to facilitate accuracy. This study tests if shooting baskets “in rhythm,” as measured by the catch-to-release time, reliably enhances shooting accuracy. It then tests if an “in rhythm” timing is commonly detected and agreed upon by observers, and if observer timing ratings are related to shooting accuracy. Experiment 1 tests the shooting accuracy of two amateur basketball players after different delays between catching a pass and shooting the ball. Shots were taken from the three-point line (180 shots). All shots were recorded and analyzed for accuracy as a function of delay time, and the recordings were used to select stimuli varying in timing intervals for observers to view in Experiment 2. In Experiment 2, 24 observers each reviewed 17 video clips of the shots to test visual judgment of shooting-in-rhythm. The delay times ranged from 0.3 to 3.2 seconds, with a goal of having some of the shots taken too fast, some close to in rhythm, and some too slow. Observers rated if each shot occurs too fast, in rhythm slightly fast, in rhythm slightly slow, or too slow. In Experiment 1, shooters exhibited a significant cubic fit with better shooting performance in the middle of the timing distribution (1.2 sec optimal delay) between catching a pass and shooting. In Experiment, 2 observers reliably judged shots to be in rhythm centered at 1.1 ± 0.2 seconds, which matched the delay that leads to optimal performance for the shooters found in Experiment 1. The pattern of findings confirms and validates that there is a common “in rhythm” catch-to-shoot delay time of a little over 1 second that both optimizes shooter accuracy and is reliably recognized by observers.

Exploration of a mouse model (C57BL/6J) capable of demonstrating behavioral changes after adolescent social isolation that are consistent with prior findings may prove beneficial in later research. This study examined 2 proposed long-term effects of isolated housing (one mouse/cage), when compared to group housing (two mice/cage) during adolescence. Mice were placed in their respective housing conditions after weaning (PND 21) and remained in those conditions until PND 60. The same cohorts were used in both phases of the experiment. Phase 1 sought to confirm previous findings that showed increases in ethanol intake after adolescent social isolation using a 2-bottle preference Drinking-in-the-Dark (DID) design over a 4-day period (PND 64-PND 67.). Phase 2 sought to elucidate the effects present after adolescent social isolation, as measured using response inhibition capabilities demonstrated during fixed-minimum interval (FMI) trials (PND 81-PND 111). Findings in phase 1 of the experiment were non-significant, save a strong tendency for female mice in both housing conditions to drink more as a proportion of their bodyweight (g/kg). However, a trend of lower bodyweight in single housed mice did exist, which does suggest that detrimental stress was applied via the used of adolescent isolation in that housing condition. Findings in phase 2 showed little effect of adolescent social isolation on mean inter-response time (IRT) at any criterion used (FMI-0, FMI-4, FMI-6). Evaluation of mean interquartile range (IQR) of IRTs showed a significantly greater amount of variation in IRT responses within single housed mice at the highest criterion (FMI-6), and a trend in the same direction when FMI-4 and FMI-6 were tested concurrently. Taken as a whole, the findings of this experiment suggest that the effect of adolescent social isolation on ethanol intake is far less robust than the effect of sex and may be difficult to replicate in a low-power study. Additionally, adolescent social isolation may interfere with the ability of mice to show consistent accuracy during FMI tasks or a delay in recognition of FMI criterion change.

Midlife is a unique period of development during which individuals are simultaneously engaging in multiple roles. Despite this, there is a surprisingly small amount of research on this period of the life course. In order to examine sources of adversity during this period, we analyzed interviews with individuals in midlife about their greatest challenge. The most common themes for types of adversity included relationships, health, and work, reflecting the unique combination of roles in midlife.

A dynamical approach is used to avoid isolating systems and instead view systems as interacting together. The current study applied a dynamical approach to heart rate variability and personality. There were two main research questions that this study sought to answer with a dynamical analysis of heart rate variability and personality: “Can we listen to a heartbeat and draw connections to behavior and personality?” and “Is dynamical analysis more effective than traditional analysis at finding correlations between heart rate variability and personality?” To answer these questions a dynamical analysis of heart rate variability was conducted (detrended fluctuation analysis; DFA) along with traditional analysis (standard deviations of NN intervals, SDNN, and root mean squared of successive deviations, RMSSD) and then correlations between heart rate variability measures and personality traits from the Big Five Inventory, Positive and Negative Affect schedule, and State-Trait Anxiety Inventory were examined. Data for this study came from the Rapid Automatic & Adaptive Model for Performance Prediction (RAAMP2) Dataset that was part of The Multimodal Objective Sensing to Assess Individuals with Context (MOSAIC) project. There were no statistically significant correlations between heart rate variability and personality. However, there were notable correlations between extraversion and SDNN and RMSSD and between positive affect and SDNN and RMSSD. We found that SDNN and RMSSD were more closely correlated to each other compared to DFA to either measure. This suggests that DFA can provide information that SDNN and RMSSD do not. Future research can explore dynamic analysis of heart rate variability and other nested systems.