Activist e-mail action alerts and identification: Rhetorical relationship building strategies in collective action

This study analyzed 111 e-mail action alerts from three activist groups on opposing ends of the political and religious ideological continuum for examples of Burke's three identification strategies. Findings show the organizations employed identification by antithesis with the greatest frequency, indicating that activist groups most often take a reactionary or confrontational approach to establishing identification with publics.     

Choosing between alternative classification criteria to measure the labour force state

Summary.  Labour force counting relies on general guidelines that are set by the International Labour Office to classify individuals into three labour force states: employment, unemployment and inactivity. However, the resulting statistics are known to be sensitive to slight variations in operational definitions which are prima facie consistent with the general guidelines. We consider two interpretations of the general guidelines, operationalized by the criterion that is currently followed by Eurostat and a criterion that was followed by the Italian Statistical Office up to 1992. After showing that the labour force statistics resulting from the two criteria differ considerably, we compare individuals whose classification depends on the criterion that is adopted with individuals whose classification is common between criteria to study the boundary between unemployment and inactivity. An application of our strategy is presented using data from the Italian Labour Force Survey, painting a picture neatly against the criterion that is currently followed by Eurostat.     

Solving the Classification Problem in Discriminant Analysis Via Linear and Nonlinear Programming Methods*

This paper demonstrates the feasibility of applying nonlinear programming methods to solve the classification problem in discriminant analysis. The application represents a useful extension of previously proposed linear programming-based solutions for discriminant analysis. The analysis of data obtained by conducting a Monte Carlo simulation experiment shows that these new procedures are promising. Future research that should promote application of the proposed methods for solving classification problems in a business decision-making environment is discussed.     

Activist practitioner perspectives of website public relations: Why aren’t activist websites fulfilling the dialogic promise?

Kent and Taylor proposed five dialogic principles for mediated public relations in 1998 and numerous studies of activist groups, corporations, and educational institutions have shown that most websites fail to meet their dialogic potential. This study explores some of the reasons why activist organizations do not integrate dialogic features into their websites. Thirteen activist public relations practitioners were interviewed to determine their perceptions of websites as tools for information dissemination and resource mobilization. Three consistent themes emerged from the interviews: (1) website communication is perceived to be most effective when tied to issue-specific events and issue currency, (2) websites cater to existing and highly involved publics, and (3) websites are viewed as passive communication tools that must be supplemented with traditional public relations practices.     

Uncertainty resolution in tax experiments: Why waiting for an audit increases compliance

Tax compliance in a between-subjects experiment was higher when the uncertainty about the occurrence of an audit was not resolved until three weeks after participants had filed their tax returns than in a control treatment with immediate uncertainty resolution. Results have important implications for experimental tax research where providing immediate feedback whether participants are audited is common practice.     

FOUR APPROACHES TO THE CLASSIFICATION PROBLEM IN DISCRIMINANT ANALYSIS: AN EXPERIMENTAL STUDY*

Four discriminant models were compared in a simulation study: Fisher's linear discriminant function [14], Smith's quadratic discriminant function [34], the logistic discriminant model, and a model based on linear programming [17]. The study was conducted to estimate expected rates of misclassification for these four procedures when observations were sampled from a variety of normal and nonnormal distributions. In contrast to previous research, data were taken from four types of Kurtotic population distributions. The results indicate the four discriminant procedures are robust toward data from many types of distributions. The misclassification rates for both the logistic discriminant model and the formulation based on linear programming consistently decreased as the kurtosis in the data increased. The decreases, however, were of small magnitude. None of these procedures yielded statistically significant lower rates of misclassification under nonnormality. The quadratic discriminant function produced significantly lower error rates when the variances across groups were heterogeneous.