Measurement of non-randomness in spatial distributions

Summary The measurement of departure from randomness in spatial distributions has widespread application in ecological work. Several “indices of non-randomness” are compared with regard to their dependence on sample number, sample size and density. Criteria for the best choice of index for specific situations are discussed. A new coefficientC _x is proposed for use with positively contagious distributions and tests of significance are given. WhenC _x and another index (S ²/m−1) are used for positive and negative contagion respectively, values ranging from −1 through 0 (random) to +1 are obtained, regardless of sample number, sample size or density.     

Reasoning Together Through Telling Stories: How People Talk about Social Controversies

Qualitative Sociology - We use focus groups of ordinary citizens talking about social controversies to analyze the role of storytelling in collective reasoning. Prior research has emphasized...     

Of politics,self-preservation,and symbolism: An investigation of jurisdiction-stripping and legislative redistricting

Jurisdiction-stripping has long been a questionable component of Congress's power to supervise the judiciary's policymaking role. It has gained notoriety in recent debates surrounding judicial involvement in areas including religious establishment and privacy issues such as abortion and same-sex marriage. Most scholarship equates the advocacy of jurisdiction-stripping measures with symbolic position-taking that is unmotivated by the goal of traditional policy success. This work, a quantitative case study of the first such measure to pass the House of Representative since Reconstruction, seeks to isolate legislative motivations for exerting jurisdictional controls against the Supreme Court. Legislators’ votes on this measure were multifaceted. While those decisions were guided in part by the symbolic and representational considerations that traditionally underlie the advocacy of such legislation, there is also evidence more substantive motivations played a part. The study highlights the evolving objectives of jurisdiction-stripping's advocates and, more broadly, Congress's objectives vis-à-vis the courts.     

Leadership of highly creative people in highly creative fields: A historiometric study of scientific leaders

In recent years there has been a marked increase in the study of the influence of leadership on creativity, and the effects of this relationship on organizational performance. While a number of explanations have been broached with regard to the positive effects of leadership on creativity, many of these studies propose different, and often contradictory, methods for leaders to achieve these positive effects on creativity within their organizations and work groups. Additionally, little work has been done examining the effects of leadership on highly creative people in fields requiring creativity. The purpose of this study is to examine two existing leadership theories with regard to their viability as models to explain creative performance of eminent scientists. Eminent scientists represent a population of leaders of highly creative individuals in a field that values the production of innovative ideas and products as a marker of performance. Ninety-three excerpts from the biographies of scientists were content coded for leader behaviors and performance criteria. The results of this analysis indicate that a model based on strategic planning and product championing may serve to explain the positive effects of leadership on creativity in a highly creative population.     

Influence of National Qualifications Frameworks in Conceptualising Feedback to Students

Social work students in Britain receive feedback on a range of academic and practice issues as they progress through qualifying courses, however the way in which feedback differs to reflect the increasing complexity of learning as the course progresses is unclear. There is little, if any, guidance at a national level and the most widely known documents that provide information about the hierarchy of qualifications are the National Qualifications Frameworks (NQFs). Despite the widespread acceptance of NQFs there is little evidence supporting their use in professional areas such as social work. This study uses a documentary analysis to critique the Scottish Credit and Qualifications Framework (SCQF). The findings suggest that there are fundamental difficulties with the SCQF and its value in helping academics to better conceptualise feedback that reflects the increasing complexity of learning throughout the social work qualifying course. Whilst the SCQF is specific to a Scottish context, it is suggested that the inherent limitations and dominance of a neo-liberal ideology are common to other NQFs. It may be necessary to create the conditions where academics and students are able to discuss and debate the merits of NQFs and their implementation in social work qualifying courses.     

Relationships among JIT practices: an interpretive modeling approach

Abstract

This research develops a model of relationships among components of Total-JIT, including JIT-information, JIT-manufacturing, JIT-purchasing, and JIT-selling, to establish an implementation hierarchy based on relative importance. The data collected relates to the relationships among JIT components and two performance measures, supply chain competency and organizational performance. Two groups are used in the research, one group of five operations management academics and another group of 30 practicing operations managers working in U.S. manufacturing firms. An interpretive structural modelling methodology is used to develop alternative structural models. The academics’ data show JIT-information emerging as lynchpin of relationships, directly impacting all other JIT practices and both performance measures. The practitioners’ data indicates that all JIT practices and performance measures are interactive as components and outcomes. This study is the first to apply interpretive structural modelling to investigate the interplay among total-JIT components and the performance measures of supply chain competency and organizational performance.     

The critique of intelligent design: Epicurus,Marx, Darwin,and Freud and the materialist defense of science

A new version of the age-old controversy between religion and science has been launched by today’s intelligent design movement. Although ostensibly concerned simply with combating Darwinism, this new creationism seeks to drive a “wedge” into the materialist view of the world, originating with the ancient Greek philosopher Epicurus and manifested in modern times by Darwin, Marx, and Freud. Intelligent design proponents thus can be seen as challenging not only natural and physical science but social science as well. In this article, we attempt to explain the long history of this controversy, stretching over millennia, and to defend science (especially social science) against the criticisms of intelligent design proponents – by defending science’s materialist roots.

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Applications and Implementation DECISION SUPPORT SYSTEMS: AN EMPIRICAL ASSESSMENT FOR DECISION MAKING

A laboratory experiment examined the effects of applying decision support system (DSS) technology to decision making in ill-structured problem environments under varying information conditions. Marketing executives participated in the experiment which investigated the effects of DSS availability, DSS training, and data availability on dependent variables that included: (1) the number of alternatives considered by a subject during decision making, (2) the period of time spent by a subject to complete the decision-making process, (3) the subject's perceived confidence in the decisions he or she had made, (4) the amount of data considered by a subject's during decision making, (5) the individual subject's decision processing, and (6) the subject's performance overall. Our results indicate that all three factors significantly affect the number of alternatives considered by subjects during the decision-making process. We therefore suggest that DSS training be coordinated with decision training in order to realize the potential of DSSs as described in the DSS literature.     

Penalized Pseudolikelihood Inference in Spatial Interaction Models with Covariates

Given spatially located observed random variables ( x , z = {( x _i , z _i )} _i , we propose a new method for non-parametric estimation of the potential functions of a Markov random field p ( x | z ), based on a roughness penalty approach. The new estimator maximizes the penalized log-pseudolikelihood function and is a natural cubic spline. The calculations involved do not rely on Monte Carlo simulation. We suggest the use of B-splines to stabilize the numerical procedure. An application in Bayesian image reconstruction is described.