Effects of Facebook Maintenance Behaviors on Partners’ Experience of Love

This study collected data from 75 heterosexual couples. Partners self-reported their own Facebook behaviors as well as their perceptions of their partner’s Facebook behaviors. Partners also completed the Partner Relationship Quality Components inventory. Analyses used a pairwise data set according to the Actor Partner Interdependence Model. Confirmatory factor analysis demonstrated that two factors explained 59 % of the variance regarding Facebook behaviors: Partner Facebook Maintenance (PFM) and Actor Facebook Maintenance (AFM). Two structural equation models were created, one proposing that PFM and AFM would predict Actor Love and Partner Love when controlling for length of relationship, relationship status, and gender, the other proposing that Actor Love and Partner Love would predict PFM and AFM. Overall analysis indicates good model fit for both models. These results suggest that partners who perceive higher levels of love in their relationship actually participate in less Facebook Maintenance behaviors, and couples who engage in more Facebook Maintenance behaviors experience less love in the relationship. Implications for couples and therapists are discussed.     

Leaping to Conclusions: Why Premise Relevance Affects Argument Strength

Everyday reasoning requires more evidence than raw data alone can provide. We explore the idea that people can go beyond this data by reasoning about how the data was sampled. This idea is investigated through an examination of premise non‐monotonicity, in which adding premises to a category‐based argument weakens rather than strengthens it. Relevance theories explain this phenomenon in terms of people's sensitivity to the relationships among premise items. We show that a Bayesian model of category‐based induction taking premise sampling assumptions and category similarity into account complements such theories and yields two important predictions: First, that sensitivity to premise relationships can be violated by inducing a weak sampling assumption; and second, that premise monotonicity should be restored as a result. We test these predictions with an experiment that manipulates people's assumptions in this regard, showing that people draw qualitatively different conclusions in each case.     

Test of memory malingering with children: The utility of Trial 1 and TOMMe10 as screeners of test validity

There is a growing body of research suggesting that the shorter versions of the Test of Memory Malingering (TOMM) may provide an accurate assessment of effort in children. During neuropsychological evaluations, some circumstances result in only one completed trial of the TOMM or partial completion of a trial. Research suggests that a cut-score of 40 or 41 on Trial1 is highly predictive of passing the TOMM overall. In the current study, 194 school-age children with academic and/or behavioral problems were used to compare the accuracy of TOMM1 and TOMMe10 (errors on the first 10 items of TOMM1) in predicting passing/failing of TOMM2. For the children in this sample, a score of < 40 items correct (≥ 10 errors) on TOMM1 was highly accurate in predicting a passing performance on the TOMM2 (sensitivity = .80, specificity = .91) with a Negative Predictive Value = .98 at the malingering base rate of 7% (TOMM2 failure in our sample). A score of 2 errors (8 items correct) on the TOMMe10 was slightly less sensitive than that of the TOMM1 (specificity = .96, sensitivity = .53) but with a similar Negative Predictive Value (.96). Consistent with the research from adult populations, TOMM1 and TOMMe10 appear to be quite accurate in predicting performance on the standard administration of the TOMM and may be useful screeners. However, compared to that found in adult samples, slight differences in suggested cutoffs for TOMM1 and TOMMe10 may be warranted for children.     

Information about foregone rewards impedes dynamic decision-making in older adults

“Making an informed decision” implies that more information leads to better decisions, yet it may be the case that additional information biases decisions in a systematic and sometimes detrimental manner. In the present study, we examined the effect of additional information on older adults’ decision-making using a task for which available rewards were dependent on the participant’s recent pattern of choices. The optimal strategy was to forego the immediately rewarding option in favor of the option that yielded larger delayed reward. We found that providing information about true foregone rewards – the reward that would have been received had the participant chosen the other option – significantly reduced older adults’ decision-making performance. However, false foregone rewards – foregone rewards manufactured to make the long-term option appear more immediately rewarding – led older adults to perform at a level equal to younger adults. We conclude that providing information about foregone rewards biases older adults toward immediate rewards at a greater rate than younger adults, leading to poorer older adult performance when immediate rewards and long-term rewards conflict, but intact performance when immediate rewards and long-term rewards appear to align.     

Verbal facilitation effects instead of verbal overshadowing in face memory of 4- to 6-year olds

Research on eye witness memory in older children and adults revealed that verbally describing unfamiliar faces impairs later recognition of these faces, known as the “verbal overshadowing effect”. The aim of this study was to investigate whether a verbal overshadowing effect occurs in 4- to 6-year olds, too, and whether visualization (i.e., drawing the seen face) might elicit a visual overshadowing effect. Instead of a verbal overshadowing effect, a verbal facilitation effect was revealed with verbal intelligence being a significant predictor for recognition accuracy in the verbalization group but not in the control group. No effect of visualization was observed on recognition accuracy. Potential explanations for the results are discussed.     

Moral Worth and Doing the Right Thing by Accident

Kantian conceptions of moral worth are thought to enjoy an advantage over their rivals in virtue of accommodating two plausible intuitions—that the praiseworthiness of an action is never accidental, and that how an agent might have acted in other circumstances does not determine the moral worth of her actual conduct. In this paper, I argue that neither the Kantian nor her rivals can adequately accommodate both intuitions, in as much as non-accidentality presupposes counterfactual robustness. If we are to adequately accommodate both claims, then we must reconsider the kind of non-accidentality that really matters to moral worth. I propose that the kind of non-accidentality worth caring about requires only that the agent who does what is right acts competently from morally relevant concerns. Under this account, both the Kantian and (some of) her rivals can ensure that the praiseworthiness of an action is never accidental without counting the behaviour of non-actual agents as being relevant to assessments of moral worth.     

A conceptual replication examining the risk of overtly listing eligibility criteria on Amazon’s Mechanical Turk

Recent scholarship indicates that explicitly listing eligibility requirements on Amazon’s Mechanical Turk can lead to eligibility falsification. Offering a conceptual replication of prior studies, we assessed the prevalence of eligibility falsification and its impact on data integrity. A screener survey collected the summer before the 2016 presidential election assessed political affiliation. Participants were then randomly assigned to be exposed to a second survey link for which they were eligible or ineligible. There was a significant interaction such that the differences between self‐reported Republicans and Democrats on outcome measures (e.g., attitudes toward Hillary Clinton), were smaller among participants that were falsifying eligibility (i.e., imposters) than those that were not (i.e., genuine participants). Moreover, for most outcomes, imposters put forth responses that were significantly different from the responses put forth by those in the political party with which imposters were pretending to be affiliated. Imposters’ responses were also significantly different from participants in the political party with which imposters initially claimed to genuinely belong. For example, those who self‐reported themselves as Democrats on the screener survey but responded to a survey for “only Republicans” (i.e., imposter Republicans), reported more favorable attitudes toward Donald Trump than genuine Democrats, but indicated less favorable attitudes toward Donald Trump than genuine Republicans. These results highlight the potential harms of explicitly listing eligibility requirements and emphasize the importance of minimizing imposter participation.     

Decoding emotions in expressive music performances: A multi-lab replication and extension study

With over 560 citations reported on Google Scholar by April 2018, a publication by Juslin and Gabrielsson (1996) presented evidence supporting performers’ abilities to communicate, with high accuracy, their intended emotional expressions in music to listeners. Though there have been related studies published on this topic, there has yet to be a direct replication of this paper. A replication is warranted given the paper’s influence in the field and the implications of its results. The present experiment joins the recent replication effort by producing a five-lab replication using the original methodology. Expressive performances of seven emotions (e.g. happy, sad, angry, etc.) by professional musicians were recorded using the same three melodies from the original study. Participants (N?=?319) were presented with recordings and rated how well each emotion matched the emotional quality using a 0–10 scale. The same instruments from the original study (i.e. violin, voice, and flute) were used, with the addition of piano. In an effort to increase the accessibility of the experiment and allow for a more ecologically-valid environment, the recordings were presented using an internet-based survey platform. As an extension to the original study, this experiment investigated how musicality, emotional intelligence, and emotional contagion might explain individual differences in the decoding process. Results found overall high decoding accuracy (57%) when using emotion ratings aggregated for the sample of participants, similar to the method of analysis from the original study. However, when decoding accuracy was scored for each participant individually the average accuracy was much lower (31%). Unlike in the original study, the voice was found to be the most expressive instrument. Generalised Linear Mixed Effects Regression modelling revealed that musical training and emotional engagement with music positively influences emotion decoding accuracy.