Multilevel Heterogeneous Factor Analysis and Application to Ecological Momentary Assessment

Psychometrika - Ansari et al. (Psychometrika 67:49–77, 2002) applied a multilevel heterogeneous model for confirmatory factor analysis to repeated measurements on individuals. While the mean...     

Effect of autonomy support and dialogic learning on school children’s physical activity and sport

This study applies an intervention based on autonomy support through dialogic learning to examine effects on motivation and the promotion of physical activity and sport involvement during schoolchildren’s leisure time. One hundred and two primary school students, aged 11–13 years, participated (M = 10.93, SD = 0.75). The sample was divided into two groups: an experimental group (49 students) and a control group (53 students). A quasi-experimental study was conducted in physical education classes over the course of 9 months. Assessments of autonomy support from teachers, family, and peers; basic psychological needs; self-determined motivation in physical education and during leisure time; planned behavior variables; physical activity intention; and estimated and actual physical exercise behavior time were included in the model. Following the intervention, the results revealed that greater autonomy support by the teacher, the family and peers, satisfaction of the basic psychological needs, self-determined motivation during physical education class and during free time, greater perceived control, favorable attitude and intention to engage in physical activity contributed to the explanation of student physical activity involvement. These results suggest that when students receive extensive social support from diverse social agents that essential precursors to physical activity are strengthened and contribute to increased motivation and actual physical activity involvement. Efforts to promote effective communications with students and other pedagogical efforts, such as providing dialogic learning opportunities, should be considered in order to strengthen physical activity motivation and involvement in students.     

If you want to be one of us,then become like us: The evaluation of naturalization applicants by host nationals

Immigrant naturalization is a rite of passage, making assimilationist attitudes particularly pronounced among host nationals. Three experimental studies investigate whether heritage culture maintenance violates expectations that citizenship should be deserved by proving strong attachment to the host nation (i.e., neoliberal communitarianism). Study 1 (N = 293) demonstrates that naturalization applicants’ high degree of heritage culture maintenance impairs application evaluations. Perceived attachment to the host nation and citizenship deservingness mediated this effect. Study 2 (N = 220) replicates results across two national contexts and reveals that heritage culture maintenance impairs evaluations only among naturalization applicants from devalued countries. Study 3 (N = 117) manipulates attachment to the host nation and shows that perceived citizenship deservingness mediates the negative effects of naturalization applicants' low attachment to the host nation on application evaluations. Overall, assimilationist attitudes among host nationals are best explained by the combination of neoliberal and communitarian criteria of evaluation.     

Some New Infinity Puzzles

Philosophia - Salmon (1970) was the first to speak explicitly of paradoxes of kinematics. In this short note I introduce a new class of infinity puzzles. Following natural terminology, they should...     

More Royalist Than the King? Immigration Policy Attitudes Among Naturalized Citizens

Social psychological research has analyzed immigration attitudes mostly from the perspective of natives without an immigrant background. Nevertheless, an increasing number of migrants obtain national citizenship and take a stance towards immigration policies. By studying immigration policy attitudes reported by naturalized citizens, this article develops a dual-pathway model of immigrant political incorporation featuring pathways of either absorption or transformation. Based on a unique sample of immigrants who just accomplished the naturalization procedure (N = 566), we investigate participants' preferences for permissive or restrictive immigration policies as a function of their naturalization motives and expectations about how immigrants should acculturate in the receiving society (i.e., acculturation orientations). Our findings provide evidence for both processes of political absorption and transformation. On the one hand, belongingness motives underlying naturalization were connected to orientations towards host culture adoption, which in turn predicted support for restrictive immigration policies. On the other hand, instrumental motives were connected to orientations towards heritage culture maintenance, which in turn predicted support for permissive immigration policies. To conclude, we discuss the social psychological dynamics involved in the transition from national outsiders to national insiders and highlight the effects of naturalization on power relations between national majority and immigrant minority groups.     

Does Partisan Bias Modulate Neural Processing of Political Information? An Analysis of the Neural Correlates of Corruption and Positive Messages

Daily worldwide newspapers print articles exposing government corruption. Yet these messages do not lead to a loss of votes for the corrupt parties. Sympathizers’ partisan bias, which respectively minimizes and maximizes corruption and positive messages of their own parties respectively, is widely considered the main cause of the loss of effectiveness of political communications. Despite the well-established existence of such bias when processing political information, little is known as to its psychological origin. Through the use of neuroscience (fMRI), this study explores the underlying brain mechanisms of negative (corruption) and positive political messages related to a conservative and a socialist Spanish political party, as well as the differences between their sympathizers. The findings reveal that negative (vs. positive) political messages exert the greatest neuroimaging impact on the electorate, as shown in aversive, risk, and disappointment-related brain regions. Interestingly, we show that there exists a main partisan bias against opposite parties (and not a positive bias toward one’s own party) that stems from a higher risk, ambiguity, and disbelief provoked by both positive and negative information about rival parties. Furthermore, this bias was more pronounced among conservative supporters. The current findings provide valuable insights for political parties to improve their communication campaigns.     

Truth Without Reference: The Use of Fictional Names

Topoi - Singular terms without referents are called empty or vacuous terms. But not all of them are equally empty. In particular, not all proper names that fail to name an existing object fail in...     

Speaking like a Man: Women’s Pitch as a Cue for Gender Stereotyping

Sex Roles - Women’s average voice pitch has decreased in recent years, reducing the gap between men on this vocal dimension. The present study examined whether a woman speaking at a lower...     

EARSHOT: A Minimal Neural Network Model of Incremental Human Speech Recognition

Despite the lack of invariance problem (the many-to-many mapping between acoustics and percepts), human listeners experience phonetic constancy and typically perceive what a speaker intends. Most models of human speech recognition (HSR) have side-stepped this problem, working with abstract, idealized inputs and deferring the challenge of working with real speech. In contrast, carefully engineered deep learning networks allow robust, real-world automatic speech recognition (ASR). However, the complexities of deep learning architectures and training regimens make it difficult to use them to provide direct insights into mechanisms that may support HSR. In this brief article, we report preliminary results from a two-layer network that borrows one element from ASR, long short-term memory nodes, which provide dynamic memory for a range of temporal spans. This allows the model to learn to map real speech from multiple talkers to semantic targets with high accuracy, with human-like timecourse of lexical access and phonological competition. Internal representations emerge that resemble phonetically organized responses in human superior temporal gyrus, suggesting that the model develops a distributed phonological code despite no explicit training on phonetic or phonemic targets. The ability to work with real speech is a major advance for cognitive models of HSR.