In response to commentaries, we refine our Merit-Appreciation (M-A) love model and extend it. The model’s revised formulation highlights its flexibility over personal and life circumstances in that (1) the emphasis on partner’s Merit versus Appreciation may differ across life phases and individuals’ own sense of Merit, (2) the Novelty of a given love relationship enhances the significance partners derive from it; their shared experiences in novel domains may revitalize it, however (3) the weight of an instance of romantic love (...) as a significance source may depend on the availability of other sources of significance (e.g., work/career and alternative relationships), The latter may differ across cultures, of which some (e.g., the traditional ones) may view alternative pairwise arrangements (e.g., arranged marriages) as sources of significance. Even though its prevalence may vary, however, there is evidence that romantic love constitutes a universal experience manifest across societies and cultures. We view the M-A love model as compatible with broader conceptualizations such as evolutionary or goal theories, yet as occupying a unique niche and level of analysis, allowing insights into love as a lived experience with its many vicissitudes. The understandings it affords suggest ways of addressing love’s “trials and tribulations” to reduce the suffering it might entail and enhance its potential to promote happiness and well-being. (shrink)

The pandemic in 2020 made online learning the widely used modality of teaching in several countries and it has also entered the spotlight of educational research. However, online learning has always been a challenge for disciplines that require hands-on practice. For art teaching or training, online learning has many advantages and disadvantages. How art teachers embrace and adapt their teaching for online delivery remains an unanswered question. This research examines 892 art teachers' attitudes toward online learning, using learning environment, need (...) satisfaction, mental engagement, and behavior as predictors. Structural equation modeling was used to explore the relationship between these four dimensions during these teachers' participation in an online learning program. The results reveal significant correlations between the learning environment, need satisfaction, mental engagement, and behavior. Moreover, this study reveals the group characteristics of art teachers, which can actually be supported by online learning programs. These findings provide insights into how art teachers view and use online learning, and thus can shed lights on their professional development. (shrink)

ABSTRACTThree experiments examined how people reason about what is possible or necessary when a conditional is true. Participants were asked to indicate whether it was necessary, possible or impossible for a specific instance to conform to one of the truth-table cases, given the truth of the conditional. It was found that most participants, inconsistently, judged the pq case as necessary but the ¬pq or ¬p¬q cases as possible. Logically, these two kinds of judgments are contradictory. Moreover, a true conditional doesn’t (...) imply that a specific instance under the conditional must be pq. Therefore, people demonstrate a necessity illusion for pq cases which contradicts their commitment to the possibility of ¬pq or ¬p¬q cases. Existing accounts of conditionals are unable to explain the contradiction and the necessity illusion. We propose an inference dissociation account and explore the theoretical implications of this necessity illusion. (shrink)

Accurately assessing youth mental health involves obtaining reports from multiple informants who typically display low levels of correspondence. This low correspondence may reflect situational specificity. That is, youth vary as to where they display mental health concerns and informants vary as to where and from what perspective they observe youth. Despite the frequent need to understand and interpret these informant discrepancies, no consensus guidelines exist for integrating informants’ reports. The path to building these guidelines starts with identifying factors that reliably (...) predict the level and form of these informant discrepancies, and do so for theoretically and empirically relevant reasons. Yet, despite the knowledge of situational specificity, few approaches to integrating multi-informant data are well-equipped to account for these factors in measurement, and those that claim to be well-positioned to do so have undergone little empirical scrutiny. One promising approach was developed roughly 20 years ago by Kraemer and colleagues. Their Satellite Model leverages principal components analysis and strategic selection of informants to instantiate situational specificity in measurement, namely components reflecting variance attributable to the context in which informants observe behavior, the perspective from which they observe behavior, and behavior that manifests across contexts and perspectives. The current study represents the first construct validation test of the Satellite Model. A mixed-clinical/community sample of 134 adolescents and their parents completed six parallel surveys of adolescent mental health. Adolescents also participated in a series of simulated social interactions with research personnel trained to act as same-age, unfamiliar peers. A third informant viewed these interactions and completed the same surveys as parents and adolescents. We applied the Satellite Model to each set of surveys and observed high internal consistency estimates for each of the six-item trait, context, and perspective components. Scores reflecting the trait, context, and perspective components displayed distinct patterns of relations to a battery of criterion variables that varied in the context, perspective, and source of measurement. The Satellite Model instantiates situational specificity in measurement and facilitates unifying conceptual and measurement models of youth mental health. (shrink)