Effects of Mands on Instructional Control: A Laboratory Simulation

The Analysis of Verbal Behavior - The effects of two types of mands on participants’ adherence to instructions were examined across two groups using procedures based on Hackenberg and Joker...     

Job satisfaction in Cascadia: A comparison of British Columbia,Oregon, and Washington civil servants

Canada and the USA share a common cultural source in the British Empire, yet within shared democratic traditions, very different political structures, policy processes, and values have been identified. Canada is seen as having a more deferential culture more supportive of government while Americans have been argued to be more individualistic and cynical about the role of government in society. Using a political culture framework, this study examines the degree to which Canadian and U.S. civil servants perceive societal respect for their public sector jobs, and the impact of those perceptions on individual job satisfaction. It is argued that if civil servants feel more valued by society, they are more likely to have higher levels of public service motivation, which then contributes to higher levels of individual job satisfaction. This study employs surveys of Oregon, Washington and British Columbian civil servants conducted in 2011 and 2012 to investigate this relationship. Findings suggest that British Columbian civil servants feel more valued by society when compared to Oregon and Washington civil servants, and these perceptions of positive societal support are associated with higher levels of individual job satisfaction.     

Distribution-dependent and distribution-free confidence intervals for the variance

Finding an interval estimation procedure for the variance of a population that achieves a specified confidence level can be problematic. If the distribution of the population is known, then a distribution-dependent interval for the variance can be obtained by considering a power transformation of the sample variance. Simulation results suggest that this method produces intervals for the variance that maintain the nominal probability of coverage for a wide variety of distributions. If the underlying distribution is unknown, then the power itself must be estimated prior to forming the endpoints of the interval. The result is a distribution-free confidence interval estimator of the population variance. Simulation studies indicate that the power transformation method compares favorably to the logarithmic transformation method and the nonparametric bias-corrected and accelerated bootstrap method for moderately sized samples. However, two applications, one in forestry and the other in health sciences, demonstrate that no single method is best for all scenarios.     

Decision Making and Cognition in Multi‐Echelon Supply Chains: An Experimental Study

Supply chain performance often depends on the individual decisions of channel members. Even when individuals have access to relevant information, order variation tends to increase when moving up the supply chain, a phenomenon known as the bullwhip effect. While prior research has investigated several structural/environmental factors which can mitigate the bullwhip effect, the underlying behavioral factors contributing to it are an open question. Using a production and distribution decision‐making simulation representing a four‐stage serial supply chain, we find that the cognitive profile of decision makers contributes to the bullwhip effect. We found that the specific decision tendency to underweight the supply line is linked to an individual's level of cognitive reflection. Furthermore, performance differs for entire supply chains and for specific echelons, and holds under standard mitigation efforts. The findings have implications for supply chain design, education, and industry.     

Power and the perception of social networks

Previous work has led to divergent conclusions about how power affects the accuracy of network perceptions in groups and organizations. This paper develops and tests an argument linking higher power to less accurate network perception. Results from the first experiment showed that, relative to participants primed with high power, those primed with low power had more accurate perceptions of who was tied to whom in novel networks. The second experiment demonstrated that such differences in perceptual accuracy do not emerge for non-social relations.     

CITIZEN PARTICIPATION IN NATURAL RESOURCE MANAGEMENT: DOES REPRESENTATIVENESS MATTER?

ABSTRACT

The main focus of this research is on the changing role of citizen participation in natural resource management. Evidence suggests that citizens who participate in the management of natural resources are not representative of stakeholders who are impacted by the decisions being made. In an effort to assess the representativeness of citizen participation, we conducted telephone surveys of “residents” who live in the watershed of Tennessee Valley Authority's (TVA) Norris Reservoir and “participants” in TVA's Norris Public Lands Plan. As hypothesized, we found participants to be older, disproportionately male, more educated, and more affluent, and as having higher levels of political efficacy and trust in government than residents. Exploratory analyses revealed many other significant differences between participants and residents. We conclude by suggesting that increased and representative citizen participation is necessary for the successful implementation of an ecosystem-based approach and to address problems associated with non-point source pollution.

     

SOCIAL IMPACTS OF HURRICANE KATRINA ON DISPLACED K–12 STUDENTS AND EDUCATIONAL INSTITUTIONS IN COASTAL ALABAMA COUNTIES: SOME PRELIMINARY OBSERVATIONS

Hurricane Katrina devastated communities along the Louisiana, Mississippi, and Alabama Gulf coast. Over 300,000 students were displaced and evacuees relocated throughout the United States. K–12 schools in Mobile and Baldwin counties, situated along coastal Alabama, hosted 3,681 students from the devastated areas. From an analysis of quantitative data and qualitative information obtained from school personnel, we summarize problems and issues that characterized displaced students, families, and host schools. Suggestions for immediate and long-term support for host K–12 schools and displaced families are provided along with suggestions for future research.     

Models with Errors due to Misreported Measurements

Measurement error and misclassification models feature prominently in the literature. This paper describes misreporting error, which can be considered to fall somewhere between these two broad types of model. Misreporting is concerned with situations where a continuous random variable X is measured with error and only reported as the discrete random variable Z. Data grouping or rounding are the simplest examples of this, but more generally X may be reported as a value z of Z which refers to a different interval from the one in which X lies. The paper discusses a method for handling misreported data and draws links with measurement error and misclassification models. A motivating example is considered from a prenatal Down's syndrome screening, where the gestational age at which mothers present for screening is a true continuous variable but is misreported because it is only ever observed as a discrete whole number of weeks which may in fact be in error. The implications this misreporting might have for the screening are investigated.