The success of protest groups: Multivariate analyses

This paper reviews earlier research and presents new analytical findings regarding the outcomes of social movements. Using the resource mobilization/management approach, empirical propositions that seek to explain protest group success or failure are tested. Based upon data gathered from a sample of 53 US protest groups, the causal models explained the majority of the variance in degree of success between these groups. Our findings indicate that protest groups which threaten to replace or destroy established groups are usually unsuccessful, and those having many strong alliances tend to be more successful than groups fighting alone. The use of violence does not greatly aid the prediction of group outcome because of the unpredictable, ambivalent reaction to violence by established groups.     

Eigenvalue—Free methods for computing the distribution of a quadratic form in normal variables

The traditional method for computing the distribution of a quadratic form in normal variables, Pr(v'Qv相似文献   

Funding large-scale qualitative sociology

Myrna Silverman, Edward Mulvey, and Barry Glassner helped us with thoughtful critiques of earlier drafts.     

New directions in formalization and historical analysis

Theory and Society -     

The impact of risk sharing on efficient decision

A group of risk-averse members must choose among monetary risks and payoff-sharing rules. Departure from the status quo requires unanimous consent. Such groups drill for oil, bail out nations, and make hostile takeover bids. Assume agreement on probabilities. As is well known, if all members have identically shaped HARA utility functions, efficient group act-choices follow another such function independently of payoff sharing. We show that all other groups inevitably have complex efficient behavior, accepting gambles among individually unacceptable lotteries in almost every status quo position. We also develop proper risk aversion for groups, and treat disagreement on probabilities.Support of the Associates of the Harvard Business School (Pratt) and the Business and Government and Energy and Environmental Policy Centers (Zeckhauser) is gratefully acknowledged. We received helpful comments from Scott Johnson, Mark Machina, and a referee. Jay Patel provided assistance beyond the call of collegiality.     

Survival of Staphylococcus aureus ATCC 13565 in Intermediate Moisture Foods is Highly Variable

Staphylococcus aureus is a gram-positive, enterotoxin-producing coccus. It is a hardy organism and known to survive over a wide range of water activities, pH values, and temperatures. The objective of this study was to model the survival or gradual inactivation of S. aureus ATCC 13565 in intermediate moisture foods (IMFs). Various initial concentrations (approximately 10(1), 10(2), 10(3), and 10(4) CFU/g) were used to inoculate three different IMFs (beefsteak, bread, and chicken pockets). Viable counts were determined up to 60 days using tryptic soy agar. Inoculum size did not influence the survival or gradual inactivation of S. aureus in these foods. The rate of change (increase or decrease) in log CFU/day was calculated for every consecutive pair of data points and by linear regression for each inactivation curve. Both consecutive pair and linear regression rates of change were fit to logistic distributions (with parameters alpha and beta) for each food. Based on the distribution parameters, survival or gradual inactivation of S. aureus was predicted by computer simulation. The simulations indicated an overall decline in S. aureus population over time, although a small fraction of samples in the consecutive pair simulation showed a slight population increase even after 60 days, consistent with the observed data. Simulation results were compared to predictions from other computer models. The models of Stewart et al., were fail-safe, predicting the possibility of significant growth only after > 3,000 days. The USDA pathogen modeling program predictions were found to be fail-dangerous, predicting declines at least four times faster than observed.     

Career Techniques and Interventions: Themes From an International Conversation

The need for appropriate, timely, and increasingly comprehensive career development and education programs continues to escalate. It is interesting that despite the differences in cultures, religions, economies, political systems, and education structures, many countries face similar challenges when designing and implementing career development programs. Sharing and adapting career development interventions and techniques cross‐culturally appear to be viable strategies for implementing or enhancing programs, provided the concepts and materials are tailored to the countries' unique requirements.     

Local information and the design of sequential hypothesis tests

Various results on sequential hypotheses testing are reviewed. Optimal stopping rules are related to a local measure of statistical information. In some cases, local information can be approximated by L-numbers discovered by Lorden, and simple rules based on these approximations are asymptotically optimal to better order than the cost for a single observation.