Contents Volume 29 2000

Volume Contents

Contents Volume 29 2000     

Caged Morality: Moral Worlds,Subculture, and Stratification Among Middle-Class Cage-Fighters

Social scientists have long been concerned with how and why marginalized groups create and participate in subcultures. There has been significantly less work examining how those with access to conventional status and success participate in subcultures, often despite significant economic and social costs. The result has been lopsided theorizing that neglects much of the positive, affective, and moral appeal of subcultures at all levels of stratification. The participation of middle-class men and women in the rapidly growing world of cage-fighting speaks to this longstanding issue in the existing literature. We find these individuals participate in a sporting subculture that involves bodily, interpersonal, and professional sacrifices because they feel it gives them the ability to viscerally realize the widely shared American ideals that form the core components of their “moral world.” The subculture holds particular sway over its members because they feel that its ideals, status hierarchies, and daily practices more directly embody the deeply embedded principles of middle-class morality and habitus than other elements of their lives.     

Promising practices for delivery of court-supervised substance abuse treatment: perspectives from six high-performing California counties operating Proposition 36

Operative for nearly a decade, California's voter-initiated Proposition 36 program offers many offenders community-based substance abuse treatment in lieu of likely incarceration. Research has documented program successes and plans for replication have proliferated, yet very little is known about how the Proposition 36 program works or practices for achieving optimal program outcomes. In this article, we identify policies and practices that key stakeholders perceive to be most responsible for the successful delivery of court-supervised substance abuse treatment to offenders under Proposition 36. Data was collected via focus groups conducted with 59 county stakeholders in six high-performing counties during 2009. Discussion was informed by seven empirical indicators of program performance and outcomes and was focused on identifying and describing elements contributing to success. Program success was primarily attributed to four strategies, those that: (1) fostered program engagement, monitored participant progress, and sustained cooperation among participants; (2) cultivated buy-in among key stakeholders; (3) capitalized on the role of the court and the judge; and (4) created a setting which promoted a high-quality treatment system, utilization of existing resources, and broad financial and political support for the program. Goals and practices for implementing each strategy are discussed. Findings provide a "promising practices" resource for Proposition 36 program evaluation and improvement and inform the design and study of other similar types of collaborative justice treatment efforts.     

Weight matrices for social influence analysis: An investigation of measurement errors and their effect on model identification and estimation quality

Weight matrices, such as used in network autocorrelation models, are useful to investigate social influence processes. The objective of this paper is to investigate a key topic that has received relatively little attention in previous research, namely the issues that arise when observational limitations lead to measurement errors in these weight matrices. Measurement errors are investigated from two perspectives: when relevant ties are omitted, and when irrelevant ties are erroneously included as part of the matrix. The paper first shows analytically that these two situations result in biased estimates. Next, a simulation experiment provides evidence of the effect of erroneously coding the weight matrix on model performance and the ability of a network autocorrelation test to identify social influence effects. The results suggest that depending on the level of autocorrelation and the topology attributes of the underlying matrix, there is a window of opportunity to identify and model social influence processes even in situations where the ties in a matrix cannot be accurately observed.     

PATTERNS OF RELIGIOUS MOBILITY AMONG BLACK AMERICANS

Using data from the National Survey of Black Americans (NSBA) and the General Social Survey (GSS), this study tests hypotheses distilled from two competing perspectives on black religious mobility. First, some analysts during the 1960s predicted that the rise of economic ambition and political militancy among blacks would foster discontent with the "otherworldly" black mainline churches. These researchers projected high levels of switching and burgeoning apostasy. Second, however, there are reasons to anticipate much more stable patterns of black religious affiliation. Recent research stresses that social embeddedness, cultural solidarity, and personal spirituality are more important influences on black religious behavior than are status-seeking or sociopolitical concerns. Except for rising apostasy, the findings of this study are broadly consistent with the second perspective. Several directions for future research on the religious mobility of black Americans are suggested.     

The race relations “Problematic” in American sociology: Revisiting Niemonen’s case study and critique

Using articles drawn from the years 1996-1999, this paper updates and expands Jack Niemonen’s 1997 TAS analysis of the articles dealing with race and ethnicity in the four core sociology journals. We found a greater rate of publication and several new substantive areas incorporating race and ethnicity, but many of the patterns Niemonen identified remain in place. These articles are highly quantitative, rely heavily on U.S. Census categories, tend to explain racial and ethnic phenomenon as by-products of broader social forces (such as class-based stratification), and subsume these analyses under the headings of alternative subfields. Niemonen used these findings to offer a powerful critique of the status of race and ethnicity in sociology, the under-development of the racial and ethnic relations “problematic,” and its marginalization within the discipline as a whole. To reassess these interpretations and conclusions, we examined the relationships between methodology and substance, and compared the main sample with a subset of more specialized articles focused on race and ethnicity. We found a close connection between quantitative methods and the use of Census definitions of race and ethnicity, but surprisingly few differences between the race and ethnic subset and the more inclusive main sample appeared. These findings allow us to offer support and some important qualifications to Niemonen’s original conclusions. We would like to thank Jordan Bartlett for serving as our research assistant on this project, and the members of the Fall 2000 Race Theory Seminar at the University of Minnesota (Sociology 8211) who participated in and gave commentary on a preliminary version of this study. Thanks also to Professor Jack Niemonen who communicated at length with us about his coding procedures and even consented to code a number of articles for us.     

Time diary and questionnaire assessment of factors associated with academic and personal success among university undergraduates

OBJECTIVE AND PARTICIPANTS: A sample of 231 students attending a private liberal arts university in central Alberta, Canada, completed a 5-day time diary and a 71-item questionnaire assessing the influence of personal, cognitive, and attitudinal factors on success. METHODS: The authors used 3 success measures: cumulative grade point average (GPA), Personal Success--each participant's rating of congruence between stated goals and progress toward those goals--and Total Success--a measure that weighted GPA and Personal Success equally. RESULTS: The greatest predictors of GPA were time-management skills, intelligence, time spent studying, computer ownership, less time spent in passive leisure, and a healthy diet. Predictors of Personal Success scores were clearly defined goals, overall health, personal spirituality, and time-management skills. Predictors of Total Success scores were clearly defined goals, time-management skills, less time spent in passive leisure, healthy diet, waking up early, computer ownership, and less time spent sleeping. CONCLUSIONS: Results suggest alternatives to traditional predictors of academic success.     

Power and Sample Size Determination When the Alternative Hypotheses are Given in Quantiles

The power of normal-theory tests about means depends on a noncentrality parameter which is a function of the unknown parameter σ. In order to calculate power and to solve sample-size problems based on power, differences between hypothesized and alternative values of the means are frequently selected as a multiple of σ, a choice which eliminates σ from the noncentrality parameter and permits a solution. Perhaps a more natural (but equivalent) way to express alternatives is to give one or more means as the quantile of order p (say Q_p ) of a distribution with another mean. As we will demonstrate, this kind of alternative also eliminates σ from the problem.     

A study on tuning parameter selection for the high-dimensional lasso

High-dimensional predictive models, those with more measurements than observations, require regularization to be well defined, perform well empirically, and possess theoretical guarantees. The amount of regularization, often determined by tuning parameters, is integral to achieving good performance. One can choose the tuning parameter in a variety of ways, such as through resampling methods or generalized information criteria. However, the theory supporting many regularized procedures relies on an estimate for the variance parameter, which is complicated in high dimensions. We develop a suite of information criteria for choosing the tuning parameter in lasso regression by leveraging the literature on high-dimensional variance estimation. We derive intuition showing that existing information-theoretic approaches work poorly in this setting. We compare our risk estimators to existing methods with an extensive simulation and derive some theoretical justification. We find that our new estimators perform well across a wide range of simulation conditions and evaluation criteria.