On the Use of “Intent to...” Variables in Organizational Research: An Empirical and Cautionary Assessment

Organizational research often relies onsurrogate variables. By surrogate we donot refer to family of construct, factor, or latentvariables. Rather, we address the situation where onevariable is literally the substitute for another variablethat is generally unavailable. Consider, for example,the use of intent to turnover orintent to transfer variables commonly usedwhen actual turnover or transfer data are unavailable. Wedemonstrate that reliance on such surrogate variablesmay lead to some misinterpretation. This tendency may beparticularly apparent when the relationship between the surrogate and the actual variable is low. Thismay be further exacerbated when the relationship betweenthe surrogate variable and a third variable is modest aswell.     

Radon Risk Information and Voluntary Protection: Evidence from a Natural Experiment

This study examines the perceived risks and mitigating behavior of Maine households who received new information on their exposures to significant health risks from indoor radon. The observed responses of these households illustrate conceptual issues related to designing an effective risk information program. Despite the involvement of generally well-motivated homeowners and well-intentioned researchers and government officials, we conclude that the risk information approach used in Maine failed to induce appropriate, cost-effective voluntary protection. The results indicate that, after receiving radon test results, information on associated health risks, and suggestions on how to reduce exposures: perceived risks tended to understate objective risks by orders of magnitude, and there was no statistically significant relationship between mitigating behavior and objective risks. These results suggest that the formation of risk perceptions and subsequent behavioral adjustments involve complex interactions among information, contextual, socioeconomic, and psychological variables. Therefore, government programs that seek to reduce health and safety risks with information programs, instead of using more conventional enforced standards, must be crafted very carefully to accommodate this complex process.     

Multi-terminal vehicle-dispatch algorithm

This paper introduces the Multi-Terminal Sweep Algorithm, a heuristic algorithm for obtaining an approximate solution to the multiple terminal vehicle-dispatch problem. The procedure determines a set of routes by which vehicles from two or more terminals can service a collection of demand points so that the total distance traveled is kept near to the minimum. This solution also satisfies constraints on the vehicle load and on the length of each route. Application of the algorithm to eleven multiple terminal vehicle-dispatch problems shows that near-optimal solutions to large-scale problems can be found in a reasonable amount of computer time.     

Immigration reform and the browning of America: tensions,conflicts and community instability in metropolitan Los Angeles

"Tensions, conflicts, and community instability associated with heightened immigration--especially of nonwhite immigrant groups--threaten to balkanize America. This article highlights the root causes of the growing opposition to both immigrants and U.S. immigration policy--the nativist backlash, presents a typology of the community-level conflicts that have arisen as a consequence of heightened immigration--legal and illegal--to the United States over the last 30 years, and outlines the conditions under which diversity can be brought to the forefront as one of society's strengths.... The 1992 Los Angeles County Social Survey (LACSS)...provides insights into the nature and magnitude of intergroup stereotyping and prejudice in a community in which large numbers of immigrants have settled."     

Asymptotic properties of Bayes risk for one-sided tests

Consider a given sequence {T_n} of estimators for a real-valued parameter θ. This paper studies asymptotic properties of restricted Bayes tests of the following form: reject H₀:θ ≤ θ₀ in favour of the alternative θ > θ₀ if T_n ≤ C_n, where the critical point C_n is determined to minimize among all tests of this form the expected probability of error with respect to the prior distribution. Such tests may or may not be fully Bayes tests, and so are called T_n-Bayes. Under fairly broad conditions it is shown that and the T_n-Bayes risk where a_n is the order of the standard error of T_n, - is the prior density, and μ is the median of F, the limit distribution of (T_n – θ)/a_nb(θ). Several examples are given.     

Where is the border? Current issues in the diagnosis and treatment of the borderline

Differential diagnosis of subtypes of individuals meeting criteria for borderline personality disorder has received only limited attention in the recent social work literature on the borderline. Whether the borderline disturbance is moderate or severe, the condition may overlap with several borders, suggesting that borderline personality disorders are a heterogeneous group of conditions. Discrimination between different subtypes is necessary in order to help clients obtain the optimum combination of treatments.     

Multiple imputation of a randomly censored covariate improves logistic regression analysis

Randomly censored covariates arise frequently in epidemiologic studies. The most commonly used methods, including complete case and single imputation or substitution, suffer from inefficiency and bias. They make strong parametric assumptions or they consider limit of detection censoring only. We employ multiple imputation, in conjunction with semi-parametric modeling of the censored covariate, to overcome these shortcomings and to facilitate robust estimation. We develop a multiple imputation approach for randomly censored covariates within the framework of a logistic regression model. We use the non-parametric estimate of the covariate distribution or the semi-parametric Cox model estimate in the presence of additional covariates in the model. We evaluate this procedure in simulations, and compare its operating characteristics to those from the complete case analysis and a survival regression approach. We apply the procedures to an Alzheimer's study of the association between amyloid positivity and maternal age of onset of dementia. Multiple imputation achieves lower standard errors and higher power than the complete case approach under heavy and moderate censoring and is comparable under light censoring. The survival regression approach achieves the highest power among all procedures, but does not produce interpretable estimates of association. Multiple imputation offers a favorable alternative to complete case analysis and ad hoc substitution methods in the presence of randomly censored covariates within the framework of logistic regression.     

Managing strategic change--strategy, culture and action

One of the major problems facing senior executives is that of effecting significant strategic change in their organizations. This paper develops a number of explanatory frameworks which address the links between the development of strategy in organizations, dimensions of corporate culture and managerial action. In considering such linkages, and by illustrating them with examples from work undertaken in companies, the paper also seeks to advance our understanding of the problems and means of managing strategic change.