Achievement motivation among urban adolescents: Work hope, autonomy support, and achievement-related beliefs

Drawing upon expectancy value, hope, and self-determination theories, this study explores the contributions of work-based beliefs and autonomy support as predictors of adaptive achievement-related beliefs. Two hundred and one urban high school students who were enrolled in a work-based learning program completed measures of work hope, autonomy support, and achievement beliefs. Results from the full canonical correlation model revealed that work hope, career planning, and autonomy support shared 37.5% of the variance with achievement-related beliefs. Moreover, work hope and teacher autonomy support further contributed unique variance in explaining these beliefs. The findings contribute to the theoretical knowledge base concerning the value of work-based learning in fostering academic motivation among adolescents.     

The Whole is Greater: Reflective Practice,Human Development and Fields of Consciousness and Collaborative Creativity

Because Western experiments assume creativity is an individual phenomenon and rarely investigate how trust and openness might build collective resonance, flow, and creativity, the creative whole typically amounts to less than the sum of the parts. The author argues, however, that group creativity increases as members develop, especially through Wilber's (in press) transpersonal stages. He illustrates how organizational leaders have facilitated creativity through reflective practice. Presenting evidence regarding the field effects of collective consciousness, he suggests that our minds and hearts interact in subtle yet powerful ways, which leaders can intuit, to support the emergence of collaborative creativity.     

Dyadic Models for the Study of Health

Dyadic designs have been used in health research to investigate intra‐ and inter‐personal mechanisms of health and well‐being in various types of dyads, including parent–child dyads, siblings, friends, and romantic partners. Although a growing number of researchers are designing studies that capture the interdependent complexities of relationships, many still need more information on how to analyze the data in a way that maximizes its value. Therefore, the purpose of this review paper is twofold: (1) to address some of the ways in which dyadic data analysis is being used in current health research, with an emphasis on research that has employed the Actor‐Partner Interdependence Model, and (2) to propose and explain various methodological and substantive considerations that researchers should consider when using dyadic data analysis in their own research.     

Space Trumps Time When Talking About Objects

The nature of the relationship between the concepts of space and time in the human mind is much debated. Some claim that space is primary and that it structures time (cf. Lakoff & Johnson, 1980) while others (cf. Walsh, 2003) maintain no difference in status between them. Using fully immersive virtual reality (VR), we examined the influence of object distance and time of appearance on choice of demonstratives (this and that) to refer to objects. Critically, demonstratives can be used spatially (this/that red triangle) and temporally (this/that month). Experiment 1 showed a pattern of demonstrative usage in VR that is consistent with results found in real‐world studies. Experiments 2, 3, and 4 manipulated both when and where objects appeared, providing scenarios where participants were free to use demonstratives in either a temporal or spatial sense. Although we find evidence for time of presentation affecting object mention, the experiments found that demonstrative choice was affected only by distance. These results support the view that spatial uses of demonstratives are privileged over temporal uses.     

A classification of Newcomb problems and decision theories

Newcomb-like problems are classified by the payoff table of their act-state pairs, and the causal structure that gives rise to the act-state correlation. Decision theories are classified by the one or more points of intervention whose causal role is taken to be relevant to rationality in various problems. Some decision theories suggest an inherent conflict between different notions of rationality that are all relevant. Some issues with causal modeling raise problems for decision theories in the contexts where Newcomb problems arise.