Community Storytelling Network,Neighborhood Context,and Civic Engagement: A Multilevel Approach

From a communication infrastructure theory perspective, the current study examined individuals’ civic engagement (neighborhood belonging, collective efficacy, and civic participation) as influenced by 2 multilevel components of the communication infrastructure—an integrated connectedness to a storytelling network (ICSN) and the residential context—focusing on ethnic heterogeneity and residential stability. Our multilevel analyses show that ICSN is the most important individual‐level factor in civic engagement—neighborhood belonging, collective efficacy, and civic participation—after controlling for other individual‐level and neighborhood‐level factors. In both ethnically homogeneous and heterogeneous areas and in both stable and unstable areas, ICSN is an important factor in civic engagement. As contextual factors, residential stability positively affects neighborhood belonging and collective efficacy, and ethnic heterogeneity is negatively related to collective efficacy. Our data do not show any direct contextual effects of residential stability or ethnic heterogeneity on civic participation. However, our HLM analysis showed that the relative importance of ICSN for the likelihood of participation in civic activities is significantly higher in unstable or ethnically heterogeneous areas than in stable or ethnically homogeneous areas.     

Multilevel Selection Theory and Major Evolutionary Transitions: Implications for Psychological Science

ABSTRACT— The concept of a group as comparable to a single organism has had a long and turbulent history. Currently, methodological individualism dominates in many areas of psychology and evolution, but natural selection is now known to operate at multiple levels of the biological hierarchy. When between-group selection dominates within-group selection, a major evolutionary transition occurs and the group becomes a new, higher-level organism. It is likely that human evolution represents a major transition, and this has wide-ranging implications for the psychological study of group behavior, cognition, and culture.     

The Role of Neighborhood in the Development of Aggression in Urban African American Youth: A Multilevel Analysis

The purpose of this study was to examine the role of neighborhood disadvantage and perceptions of neighborhood on the development of aggressive behavior among a sample of urban low‐income African American middle school aged youth (mean age = 11.65 years). Results of hierarchical linear modeling indicated that youth experienced significant changes in rates of aggression across the three middle school years, and that on average, negative youth perceptions of neighborhood predicted increases in aggression. Both parent and youth perceptions of neighborhood disadvantage trended toward significance as a moderator between objective neighborhood characteristics and aggression. These results are in accordance with past research, which suggests that personal evaluations of the disadvantage of a neighborhood influence child development and behavior. Future studies should examine the role that perceptions play in youth development, as well as in interventions geared towards thwarting youth aggression.     

An Evolutionary Approach to Revising Modernization Theory: An Introduction to the Credible Polity

The future global distribution of the political regimes of countries, just like that of their economic incomes, displays a surprising tendency for polarization into only two clubs of convergence at the extrema. This, in itself, is a persuasive reason to analyze afresh the logical validity of an endogenous theory for political and economic development inherent in modernization theory. I suggest how adopting a simple evolutionary game theoretic view on the subject allows an explanation for these parallel clubs of convergence in political regimes and economic income within the framework of existing research in democratization theory. I also suggest how instrumental action can be methodically introduced into such a setup using learning strategies adopted by political actors. These strategies, based on the first principles of political competition, are motivated by introducing the theoretical concept of a Credible Polity.     

How Neighborhood Structural and Institutional Features Can Shape Neighborhood Social Connectedness: A Multilevel Study of Adolescent Perceptions

According to the norms and collective efficacy model, the levels of social connectedness within a local community are a function of neighborhood structural characteristics, such as socioeconomic status and ethnic composition. The current work aims to determine whether neighborhood structural and institutional features (neighborhood wealth, percentage of immigrants, population density, opportunities for activities and meeting places) have an impact on different components of neighborhood social connectedness (intergenerational closure, trust and reciprocity, neighborhood-based friendship and personal relationships with neighbors). The study involved a representative sample of 389 early and middle adolescents aged 11–15 years old, coming from 31 Italian neighborhoods. Using hierarchical linear modeling, our findings showed that high population density, ethnic diversity, and physical and social disorder might represent obstacles for the creation of social ties within the neighborhood. On the contrary, the presence of opportunities for activities and meeting places in the neighborhood was associated with higher levels of social connectedness among residents.     

Evaluating Ethics Education Programs: A Multilevel Approach

Although education in the responsible conduct of research is considered necessary, evidence bearing on the effectiveness of these programs in improving research ethics has indicated that, although some programs are successful, many fail. Accordingly, there is a need for systematic evaluation of ethics education programs. In the present effort, we examine procedures for evaluation of ethics education programs from a multilevel perspective: examining both within-program evaluation and cross-program evaluation. With regard to within-program evaluation, we note requisite designs and measures for conducting systematic program evaluation have been developed and multiple measures should be applied in program evaluation. With regard to cross-program evaluation, we argue that a meta-analytic framework should be employed where analyses are used to identify best practices in ethics education. The implications of this multilevel approach for improving responsible conduct of research educational programs are discussed.     

Negative Affective Responses to Stress among Urban Police Officers: A General Strain Theory Approach

ABSTRACT

The larger literature on police stress indicates that much of their stress emanates from two sources: organizational and environmental. These sources coexist in officers’ lives but function differently across police agencies. Officer experiences with stress also tend to lead to emotional reactions, some of which can be negative and increase the risk of misconduct. Agnew’s general strain theory provides one useful theoretical framework within which the relationship between officer strain and negative emotions can be investigated. Using data from three urban Texas police agencies, this study investigates the main sources of police strain as predictors of anger, depression, and burnout. Further, differences in negative emotions across agencies are also examined. Results show that organizational stress is significantly related to all three negative emotions across agencies. Implications and future research directions are highlighted.     

A Computationally Efficient State Space Approach to Estimating Multilevel Regression Models and Multilevel Confirmatory Factor Models

Although the state space approach for estimating multilevel regression models has been well established for decades in the time series literature, it does not receive much attention from educational and psychological researchers. In this article, we (a) introduce the state space approach for estimating multilevel regression models and (b) extend the state space approach for estimating multilevel factor models. A brief outline of the state space formulation is provided and then state space forms for univariate and multivariate multilevel regression models, and a multilevel confirmatory factor model, are illustrated. The utility of the state space approach is demonstrated with either a simulated or real example for each multilevel model. It is concluded that the results from the state space approach are essentially identical to those from specialized multilevel regression modeling and structural equation modeling software. More importantly, the state space approach offers researchers a computationally more efficient alternative to fit multilevel regression models with a large number of Level 1 units within each Level 2 unit or a large number of observations on each subject in a longitudinal study.     

A Modified ESID Approach to Studying Mental Illness and Homelessness

This paper describes 15 years of research on homelessness using a modified ESID approach. The article summarizes the results of several needs assessment studies; describes the development and evolution of alternative treatment models to assist homeless individuals with severe mental illness; summarizes results of three outcome evaluation studies; and discusses issues of treatment implementation, treatment diffusion, and dissemination.     

A Learning Theory Approach to Attachment Theory: Exploring Clinical Applications

Clinical Child and Family Psychology Review - Although clinicians typically acknowledge the importance of insecure attachment as one factor that can contribute to children’s psychopathology,...     

A Categorical Approach to Probability Theory

First, we discuss basic probability notions from the viewpoint of category theory. Our approach is based on the following four “sine quibus non” conditions: 1. (elementary) category theory is efficient (and suffices); 2. random variables, observables, probability measures, and states are morphisms; 3. classical probability theory and fuzzy probability theory in the sense of S. Gudder and S. Bugajski are special cases of a more general model; 4. a good model allows natural modifications. Second, we show that the category ID of D-posets of fuzzy sets and sequentially continuous D-homomorphisms allows to characterize the passage from classical to fuzzy events as the minimal generalization having nontrivial quantum character: a degenerated state can be transported to a nondegenerated one. Third, we describe a general model of probability theory based on the category ID so that the classical and fuzzy probability theories become special cases and the model allows natural modifications. Finally, we present a modification in which the closed unit interval [0,1] as the domain of traditional states is replaced by a suitable simplex.     

A Contextual Approach to Political Theory

This article explores the advantages of using a range of actual cases in doing political theory. This sort of approach clarifies what is at stake in alternative theoretical formulations, draws attention to the wisdom that may be embedded in existing practices, and encourages theorists to confront challenges they might otherwise overlook and to think through the implications of their accounts more fully.     

当代心理学发展的一种新取向--进化心理学

进化心理学是近年在西方心理学中出现的一种新的研究取向,目前仍没有一个明确的概念和系统的理论。其基本主张是：过去是理解心理机制的关键;功能分析是理解心理机制的主要途径;心理机制是在解决问题的过程中演化形成的;模块性是心理机制整体组织的特性;人的行为是心理机制和环境互动作用的结果。进化心理学的发展既有意义同时也存在局限。其意义是：其发展与当代科学发展趋势相一致;它的研究促进了对人性和心理的进一步思考。局限是：具有遗传决定论的倾向;方法论存在一定的缺陷,忽视了文化对进化的意义等等。     

A Mixed Methods Approach to Vulnerability and Quality of Life Assessment of Waste Picking in Urban Nigeria

Quality of life (QoL) studies have become acceptable globally as indicators of how well a people are living. They are increasingly being used to identify and design areas of intervention to raise the wellbeing of a population. While studies on livelihoods in the informal waste recycling system of developing country cities have also been on the increase in recent years, assessments of the QoL expectations within the livelihoods framework in the informal waste recycling sector seem surprisingly few. Studies of this nature have also not been undertaken in the context of Nigerian socio-political, cultural and economic environment. Applying qual-dominant mixed methods approach to the livelihood activity of waste picking in the commercial city of Aba in southeastern Nigeria, this paper identifies predominant social indicators relevant to the Aba scavengers, waste pickers?? perceptions and QoL expectations, and potential outcomes of meeting the QoL expectations of waste pickers in the area. It also categorizes pickers?? vulnerabilities into four levels of increasing magnitude. Given that African social dynamics do not always or often find expression, fully or partially, in figures, the paper stresses the need to apply ethnographic and qualitative research methods in assessment of QoL and wellbeing in the informal waste recycling system. It further argues that integrating QoL assessments into public decision-making and social policy in Nigeria will contribute significantly towards meeting some of the Millennium Development Goals (MDGs) while also engendering sustainable urban livelihood outcomes.     

Introducing Walk-Alongs in Visitor Studies: A Mobile Method Approach to Studying User Experience

Abstract

This article introduces the walk-along method as a potential approach to study visitor interactions and experiences in situ. Prompted by the methodological challenges involved in gaining insight into the individual, subjective visitor experience, this article explores the potentials and pros and cons of the mobile, walk-along method. The mobile walk-along method is an open-ended qualitative approach to capturing visitors’ immediate experiences, interpretations, and emotions in the instant of experiencing. This article points to the method’s relevance in visitor studies by drawing on empirical and methodological insights from a visitor study at a science center exhibition about movement and health at the Experimentarium near Copenhagen, Denmark. Based on 34 group walk-alongs (108 visitors), the findings show that the walk-along method can provide an understanding of visitor experience related to visitors’ spatial practice, personal biographies and the social architecture between visitors.     

A Multivariate Multilevel Approach to the Modeling of Accuracy and Speed of Test Takers

Response times on test items are easily collected in modern computerized testing. When collecting both (binary) responses and (continuous) response times on test items, it is possible to measure the accuracy and speed of test takers. To study the relationships between these two constructs, the model is extended with a multivariate multilevel regression structure which allows the incorporation of covariates to explain the variance in speed and accuracy between individuals and groups of test takers. A Bayesian approach with Markov chain Monte Carlo (MCMC) computation enables straightforward estimation of all model parameters. Model-specific implementations of a Bayes factor (BF) and deviance information criterium (DIC) for model selection are proposed which are easily calculated as byproducts of the MCMC computation. Both results from simulation studies and real-data examples are given to illustrate several novel analyses possible with this modeling framework. The authors thank Steven Wise, James Madison University, and Pere Joan Ferrando, Universitat Rovira i Virgili, for generously making available their data sets for the empirical examples in this paper.     

进化心理学：心理科学的未来发展

“Evolutionary psychology is an approach to psychology, in which knowledge and principles from evolutionary biology are put to use in research on the structure of the human mind” (Cosmides & Tooby, 2001, p.1). The approach can be used to study and to provide broad theoretical framing of nearly all of the