Community Economic Development Strategies in Rural Washington: Toward a Synthesis of Natural and Social Capital*

Abstract Routes to economic development attract considerable attention in community and rural sociology. Social scientists draw increasingly on studies of social capital and environmental surroundings as they examine the factors that facilitate and inhibit economic development. However, few empirical analyses exist that analyze the impact of the combination of social infrastructure and natural capital on different forms of economic development such as on industrial recruitment and self‐development. Using data collected from six communities in Washington State, the interaction of a community's social infrastructure and natural capital on industrial recruitment and self‐development efforts is examined. Results suggest that while natural capital positively impacts a community's successful recruitment of outside industries, it is not significant for a community's level of self‐development. However, a community's social infrastructure, measured by the existence of active civic organizations, local businesses that support local community projects, community‐wide fund‐raising capacity, and extra‐local linkages to nearby communities, state, and national agencies, positively affects both industrial recruitment and self‐development. These findings illustrate the need for communities and local activists to carefully weigh their advantages and potential shortcomings when deciding on an economic development strategy.     

MEANINGFUL REGRESSION AND ASSOCIATION MODELS FOR CLUSTERED ORDINAL DATA

Many proposed methods for analyzing clustered ordinal data focus on the regression model and consider the association structure within a cluster as a nuisance. However, the association structure is often of equal interest—for example, temporal association in longitudinal studies and association between responses to similar questions in a survey. We discuss the use, appropriateness, and interpretability of various latent variable and Markov models for the association structure and propose a new structure that exploits the ordinality of the response. The models are illustrated with a study concerning opinions regarding government spending and an analysis of stability and change in teenage marijuana use over time, where we reveal different behavioral patterns for boys and girls through a comprehensive investigation of individual response profiles.     

中国文化下的禀性匹配模型

东西方文化维度的不同决定了组织中激励的方式各有差异。研究具有中国文化特质的“关系”与“面子”,理解“自我概念”“角色完成”“领导者的责任”“长期目标”“和谐关系”“满足感与平等感”等具体概念的东西方差异,建立修改后的综合分析模型,该模型表明虽然禀性匹配对于西方文化背景下的工作激励过程很重要,但在中国的领导者与员工之间,“关系”和“面子”更为重要。     

高校教师参与健身运动的调查研究

高校教师作为我国知识分子的主要群体,他们的身体健康直接关系到我国高等教育事业的兴旺发达。为此,通过采用文献资料分析、面访座谈和问卷调查等相结合的形式,对部分高校教师参与健身运动的情况进行了调查研究,并进行了总结和分析,找出了现实生活中影响高校教师参与健身运动的主要因素,并提出相应的建设性意见。     

Poor People in Poor Places: Local Opportunity Structures and Household Poverty*

Abstract Accounts of poverty generally fall into either “individualist” or “structuralist” camps. Often these are seen as irreconcilable and incompatible competing perspectives. This paper integrates individualist and structuralist accounts of poverty by examining the relationship between “person poverty” and “place poverty” in nonmetropolitan and metropolitan labor markets, using a multilevel framework. I fashion a general model of poverty production and allocation, drawing on the labor market ecology perspective. After a discussion of this perspective, I develop a multilevel framework for analyzing data from the 1990 Census PUMS‐L sample, STF‐3c, and other sources to show how compositional and contextual factors affect households' likelihoods of being in poverty. These multilevel models also allow us to estimate the degree to which labor market conditions influence the magnitude of household labor supply characteristics. Results suggest that both compositional and contextual factors contribute to the metro‐nonmetro difference in poverty rates, and that the effects of employment vary in accordance with labor market characteristics.     

The Transformation of Psychology in a Post-Apartheid South Africa: An Overview

Certain issues that are being debated in psychology in a post-apartheid South Africa are discussed, namely the development of professional organizations, indigenous healing and psychology, the psychometric movement, and forms of methodological inquiry. It is argued that South African psychology is striving to become more appropriate to the majority of its peoples, whether it be on the professional or research fronts. There is a desire to develop indigenous epistemologies and not to become excessively reliant on Euro-American epistemological traditions. Psychology is struggling to make mental health resources available to all South Africans.     

Comparing Networks Across Space and Time, Size and Species

We describe and illustrate methodology for comparing networks from diverse settings. Our empirical base consists of 42 networks from four kinds of species (humans, nonhuman primates, nonprimate mammals, and birds) and covering distinct types of relations such as influence, grooming, and agonistic encounters. The general problem is to determine whether networks are similarly structured despite their surface differences. The methodology we propose is generally applicable to the characterization and comparison of network–level social structures across multiple settings, such as different organizations, communities, or social groups, and to the examination of sources of variability in network structure. We first fit a p^* model (Wasserman and Pattison 1996) to each network to obtain estimates for effects of six structural properties on the probability of the graph. We then calculate predicted tie probabilities for each network, using both its own parameter estimates and the estimates from every other network in the collection. Comparison is based on the similarity between sets of predicted tie probabilities. We then use correspondence analysis to represent the similarities among all 42 networks and interpret the resulting configuration using information about the species and relations involved. Results show that similarities among the networks are due more to the kind of relation than to the kind of animal.