Rural restructuring in the American West: land use, family and class discourses

Migration patterns, technological developments, and altered human–land relationships are combining to precipitate tremendous changes in rural communities across the western US. These processes of restructuring, however, have been quite contentious and divisive for many of the region's small towns. While we are beginning to understand the causes of recent growth and development trends, the consequences of contemporary forces of restructuring on communities remain unstudied. This paper explores the reactions of residents to forces of restructuring in Pagosa Springs, Colorado, the Methow Valley, Washington, Kane County, Utah, and Teton Valley, Idaho. In depth interviews and survey responses give voice to community members by allowing them to articulate their perceptions and interpretations of recent events. The analyses demonstrate tremendous diversity in the ways in which individuals interpret the changes taking place around them. These diverse interpretations challenge singular conceptions of community and highlight the ways in which notions of land use, family, and class are negotiated in the context of contemporary rural restructuring. The analysis further demonstrates the need for a more synthesized field of rural studies spanning disciplinary and national divides.     

Belohnungen und Bestrafungen im Netz: Verhaltenskontrolle in Chat-Foren

It is often lamented that the anonymity and physical distance of the Internet prevent effective punishment for antisocial behavior such as insulting, racist or sexist comments. It is thus claimed that anomie regins on the Internet. However, if we look at individual Internet forums and the virtual groups which frequent them, it becomes evident that behavioral rules are often explicated and a row of rewards and punishments are used for behavioral control. With the help of systematic behavioral observations, analysis of documents and field experiments in 24 selected chat forums in the IRC and WWW this study examines how people use technical and social sanctions to control each other’s behavior in computer-mediated communication. Boundaries and possibilities of behavioral control on the Internet are of interest both for those who use chat forums as well as for those who offer chat forums. Accordingly, practical consequences of the results of the study are discussed with special consideration given to the danger of abuse of power.     

Three Likelihood-Based Methods For Mean and Covariance Structure Analysis With Nonnormal Missing Data

Survey and longitudinal studies in the social and behavioral sciences generally contain missing data. Mean and covariance structure models play an important role in analyzing such data. Two promising methods for dealing with missing data are a direct maximum-likelihood and a two-stage approach based on the unstructured mean and covariance estimates obtained by the EM-algorithm. Typical assumptions under these two methods are ignorable nonresponse and normality of data. However, data sets in social and behavioral sciences are seldom normal, and experience with these procedures indicates that normal theory based methods for nonnormal data very often lead to incorrect model evaluations. By dropping the normal distribution assumption, we develop more accurate procedures for model inference. Based on the theory of generalized estimating equations, a way to obtain consistent standard errors of the two-stage estimates is given. The asymptotic efficiencies of different estimators are compared under various assumptions. We also propose a minimum chi-square approach and show that the estimator obtained by this approach is asymptotically at least as efficient as the two likelihood-based estimators for either normal or nonnormal data. The major contribution of this paper is that for each estimator, we give a test statistic whose asymptotic distribution is chi-square as long as the underlying sampling distribution enjoys finite fourth-order moments. We also give a characterization for each of the two likelihood ratio test statistics when the underlying distribution is nonnormal. Modifications to the likelihood ratio statistics are also given. Our working assumption is that the missing data mechanism is missing completely at random. Examples and Monte Carlo studies indicate that, for commonly encountered nonnormal distributions, the procedures developed in this paper are quite reliable even for samples with missing data that are missing at random.     

Affirmative Action in Higher Education: How Do Admission and Financial Aid Rules Affect Future Earnings?

This paper addresses how changing the admission and financial aid rules at colleges affects future earnings. I estimate a structural model of the following decisions by individuals: where to submit applications, which school to attend, and what field to study. The model also includes decisions by schools as to which students to accept and how much financial aid to offer. Simulating how black educational choices would change were they to face the white admission and aid rules shows that race‐based advantages had little effect on earnings. However, removing race‐based advantages does affect black educational outcomes. In particular, removing advantages in admissions substantially decreases the number of black students at top‐tier schools, while removing advantages in financial aid causes a decrease in the number of blacks who attend college.     

An Empirical Analysis of the Amount of Publication Fees

Among the financing strategies available for Open Access (OA), the author-pays business model has received increasing attention. The consequences of this approach, however, for the system of scholarly communication and for publishing houses as participants in value added, have remained largely unclear. The paper presented here, therefore, analyzes the probable realistic magnitude of publishing fees in different subjects, based on empirical data. The paper shows that the most favorable conditions are met in the Natural Sciences and in Mathematics. However, the analysis also shows that publishing houses would have to raise publishing fees well beyond the level that scientists are willing to pay. Furthermore, the analysis leads to the conclusion that the amount of money currently available in the system of scholarly communication is probably not sufficient for the sustainable financing of publishing fees.