Latent roots of random data correlation matrices with squared multiple correlations on the diagonal: A monte carlo study

In order to make the parallel analysis criterion for determining the number of factors easy to use, regression equations for predicting the logarithms of the latent roots of random correlation matrices, with squared multiple correlations on the diagonal, are presented. The correlation matrices were derived from distributions of normally distributed random numbers. The independent variables are log (N–1) and log {[n(n–1)/2]–[(i–1)n]}, whereN is the number of observations;n, the number of variables; andi, the ordinal position of the eigenvalue. The results were excellent, with multiple correlation coefficients ranging from .9948 to .9992.This research was supported by the Office of Naval Research under Contract N00014-67-A-0305-0012, Lloyd G. Humphreys, principal investigator, and by the Department of Computer Science of which Richard G. Montanelli, Jr., is a member.     

The sex by race interaction in cognitive measures

Data consisting of 79 cognitive measures from Project TALENT for 100,000 white and black high school students have been analyzed for possible race by sex interactions. Control variables included geographical area, grade in high school, and socio-economic class. Race by sex interactions are largest when socioeconomic class is controlled and are highly related to the size of the main effect of sex as well. White boys and girls differ more than black boys and girls whether the overall sex difference favors males or females. Sex by grade and, to a lesser extent, sex by area interactions were also moderately large and consistent with the size of the main effect of sex. Since there are no consistent relationships with other main effects, and since the measures producing sex differences also tend to produce the interactions, it is concluded that sex differences and the interactions with sex share the same causes. Differences between these results and those of Jensen are also discussed.     

Effectiveness of a Group Therapy Program for Children with Psychosocial Deficits: Benefits of Concurrent Participation in Organized Activities

Prior research suggests children’s involvement in organized activities predicts positive outcomes, although benefits for youth with psychosocial deficits remain unclear. This study examines if activity participation predicts response to a group therapy program for children with psychosocial deficits and if improvements depend on children’s functioning within the organized activity context. Participants were 178 children (M age?=?9.6 years) enrolled in a group therapy program. Greater activity participation significantly predicted improvements in family functioning and social skills, suggesting the value of participation in organized activities for youth with psychosocial deficits.     

Why Higher Working Memory Capacity May Help You Learn: Sampling,Search, and Degrees of Approximation

Algorithms for approximate Bayesian inference, such as those based on sampling (i.e., Monte Carlo methods), provide a natural source of models of how people may deal with uncertainty with limited cognitive resources. Here, we consider the idea that individual differences in working memory capacity (WMC) may be usefully modeled in terms of the number of samples, or “particles,” available to perform inference. To test this idea, we focus on two recent experiments that report positive associations between WMC and two distinct aspects of categorization performance: the ability to learn novel categories, and the ability to switch between different categorization strategies (“knowledge restructuring”). In favor of the idea of modeling WMC as a number of particles, we show that a single model can reproduce both experimental results by varying the number of particles—increasing the number of particles leads to both faster category learning and improved strategy‐switching. Furthermore, when we fit the model to individual participants, we found a positive association between WMC and best‐fit number of particles for strategy switching. However, no association between WMC and best‐fit number of particles was found for category learning. These results are discussed in the context of the general challenge of disentangling the contributions of different potential sources of behavioral variability.     

Heteronormativity and/as Violence: The “Sexing” of Gwen Araujo

This paper will examine the violence of heteronormativity: the violence that constitutes and regulates bodies according to normative notions of sex, gender, and sexuality. This violence, I will argue, requires more than a focus on gendered or sexualized physical harms of the kinds normally examined when studying violence against sexual minorities or women. Rather, it necessitates focusing on the multiple modalities through which heteronormativity performs its violence on, through, and against bodies and persons, including through the production of certain bodies and persons as inciting violence in their very being. To establish my argument, I explore the killing in 2002 of trans woman Gwen Araujo and the violence of the legal strategy (the trans panic defense) used in the legal trials that followed her killing. Both forms of violence, I suggest, operate in a similar way, albeit through different mechanisms, to maintain and extend the system of binary morphology that itself entails the perpetual violent materialization of sexed bodies.     

Why ‘scaffolding’ is the wrong metaphor: the cognitive usefulness of mathematical representations

The metaphor of scaffolding has become current in discussions of the cognitive help we get from artefacts, environmental affordances and each other. Consideration of mathematical tools and representations indicates that in these cases at least (and plausibly for others), scaffolding is the wrong picture, because scaffolding in good order is immobile, temporary and crude. Mathematical representations can be manipulated, are not temporary structures to aid development, and are refined. Reflection on examples from elementary algebra indicates that Menary is on the right track with his ‘enculturation’ view of mathematical cognition. Moreover, these examples allow us to elaborate his remarks on the uniqueness of mathematical representations and their role in the emergence of new thoughts.

     

COVID-19 and Religious Ethics

The editors of the JRE solicited short essays on the COVID-19 pandemic from a group of scholars of religious ethics that reflected on how the field might help them make sense of the complex religious, cultural, ethical, and political implications of the pandemic, and on how the pandemic might shape the future of religious ethics.     

Semantic diversity in paired-associate learning: Further evidence for the information accumulation perspective of cognitive aging

Psychonomic Bulletin & Review - Normal aging is often associated with a performance decline on various cognitive tests, including paired associate learning (PAL), where participants are asked...