Falsifying Merton's Macro-Level Anomie Theory of Profit-Motivated Crime: A Research Note

The objective of our article is straightforward. We seek to derive, and to confront with data, an empirical model of Robert K. Merton's macro-level, anomie theory of profit-motivated crime. We use Ordinary Least Squares (OLS) regression equations to estimate the joint effects of measures of the acceptance of material success goals and absolute and relative deprivation, respectively, on cross-national rates of drug trafficking. Consistent with the predictions derived from Mertonian anomie theory, the coefficients for the product terms (the acceptance of success goals × absolute deprivation and the acceptance of success goals × relative deprivation) are significant and positive. This investigation provides what we believe is the first evaluation of the Mertonian proposition that the cultural (goals) and structural (means) components of social systems operate together to increase the level of profit-motivated crime. What is missing, of course, is a measure of anomie. We are forced to infer that anomie is the causal mechanism that links the joint influence of culture and social structure on pecuniary crime. Admittedly, this is an unavoidable limitation of the current investigation.     

How well is causal structure inferred from cooccurrence information?

Individual causal relations tend to form parts of larger causal systems. In five experiments the ability of participants to infer the structures of two systems involving five entities from patterns of cooccurrence was investigated. Although the systems were fully deterministic, there were no indirect causal relations, and participants were given guidance on how to infer causal structure from cooccurrence information, low rates of success were observed. Judgements were based more on information about temporal relations, even though no guidance on the use of temporal relation information for causal inference was provided. When no guidance was provided, no participants succeeded in inferring the structure of both systems. The results indicate that temporal relations may be preferred as cues to causal structure over patterns of cooccurrence.     

Characteristics of career success: An additional input to selecting candidates for professional programs?

It has been argued that selecting students for graduate degrees in professional schools should involve the use of information on a student's potential for “career” as well as academic success. The purpose of this study was to describe the elements of career success of 96 former doctoral students in educational administration and to measure their relationship to conventional academic and individual variables, such as GRE and MAT scores, career experience, age, sex, and quality of reference. It was found that there were no statistically practical or significant relationships between measures of academic success and career success.     

ORGANIZATION ISSUES IN SMALL BUSINESS COMPUTERIZATION IN THE REPUBLIC OF CHINA

While governmental agencies and large corporations were the first to make use of computing technologies, small businesses have expanded their use of the technologies substantially in recent years. In many cases these efforts to adopt computer-based systems failed, due to a variety of contextual and organizational factors. This paper presents the results of one of a series of studies of the organizational and environmental factors affecting introduction of computing technology into small businesses. The research is exploratory at this stage in the overall research effort. In-depth interviews were carried out to ascertain the nature of each of the computerization efforts and to identify the factors which contributed to success or failure. Preliminary results on organizational factors affecting the implementation of information systems in these companies are reported.     

The political economy of information exchange politics and property rights in the development and use of interorganizational information systems

Interorganizational information systems are information systems that cross organizational boundaries. Information managers and system developers often assume that the more integrated these information systems are, the more successful the system will be. Such an assumption is indeed intuitively appealing, and, from a technological standpoint, readily understandable. In practice, development and use of integrated information systems that cross organizational boundaries often result in confusing power struggles, politicking, and sometimes manifest sabotage. Based on economic and political organization theory, this article concludes that data ownership and incentives, rather than integration, are of vital importance for the success of interorganizational information systems. He has studied Public Administration and Policy Science (Twente University, the Netherlands) and received his Ph. D. in Management and Organization Science in 1999 (Groningen University, the Netherlands). His research interests include information management and interorganizational relations, especially in the public sector.     

"Inside Information" and Negotiator Decision Behavior

In negotiation, information about the other party may be a source of strength or weakness, depending on the context, the type of information, its availability and quality, and how a negotiator uses it. An empirical study examines the way negotiators use "inside" information specifically designed to increase bargaining strength. The scoop-privileged information about the other party′s deadline-does not inform negotiators about possible deals; rather, it suggests a process of negotiating agreement. Misuse of the scoop, therefore, poses potential costs that may diminish its possible advantages. In a two-party negotiation exercise, access to inside information affected negotiators′ thoughts and behaviors. It enhanced their feelings of success and shifted the criterion for success away from final price toward a relative, interpersonal standard. Furthermore, informed negotiators used the scoop appropriately to manage the negotiation process and enhance both joint and individual profits.     

Using the Criterion-Predictor Factor Model to Compute the Probability of Detecting Prediction Bias with Ordinary Least Squares Regression

The study of prediction bias is important and the last five decades include research studies that examined whether test scores differentially predict academic or employment performance. Previous studies used ordinary least squares (OLS) to assess whether groups differ in intercepts and slopes. This study shows that OLS yields inaccurate inferences for prediction bias hypotheses. This paper builds upon the criterion-predictor factor model by demonstrating the effect of selection, measurement error, and measurement bias on prediction bias studies that use OLS. The range restricted, criterion-predictor factor model is used to compute Type I error and power rates associated with using regression to assess prediction bias hypotheses. In short, OLS is not capable of testing hypotheses about group differences in latent intercepts and slopes. Additionally, a theorem is presented which shows that researchers should not employ hierarchical regression to assess intercept differences with selected samples.     

Open source and these United States

Over the past forty years a collaborative form of systems development has evolved on the electronic networks of the world. In the wake of the information technology revolution has come a proven method for developing, deploying, and maintaining these systems. This method, developed under the auspices of Department of Defense research grants, has resulted in the most successful and reliable software in existence. The method, based on collaborative intelligence, peer review and functional evolution, has rippled through the world of Information Technology. Its success depends on the uninhibited distribution of the currency of this realm: the source code, documentation and data that are the building blocks of complex information systems. To enhance collaboration and protect its creators, cutting edge source code is commonly released under Open Source licensing. The associated electronic information is released under open content licensing. Together, I call this duo Open Licensing. The Department of Defense can realize significant gains by the formal adoption, support and use of open licensed systems. We can lower costs and improve the quality of our systems and the speed at which they are developed. Open Licensing can improve the morale and retention of airmen and improve our ability to defend the nation. These benefits are accessible at any point in the acquisition cycle and even benefit deployed and operational systems. Open Licensing can reduce acquisition, development, maintenance and support costs and increased interoperability among our own systems and those of our allies. He has been stationed at the Pentagon and Phillips Laboratory. In addition to his military duties, he has taught at George Washington University and the University of Massachusetts at Lowell. He has an undergraduate degree in Electrical Engineering and Computer Science and graduate degrees in Business Administration and Computer Science.     

Stopping rule use during information search in design problems

Information search is critical in most decision-making tasks. An important aspect of information search is the stopping rule used by the decision maker to terminate information acquisition. Decision-making problems may be usefully decomposed into design problems and choice problems. The distinction is critical because the goals of stopping behavior in the two types of problems are quite different. In design problems, the focus is on the sufficiency of information obtained for problem structuring and generating alternatives, while choice problems focus on convergence toward a solution. While previous research has studied stopping behavior in choice problems, the present research is concerned with stopping rule use during information search in design problems. To build theory in this area, we conducted two experiments. In the first, we presented professional systems analysts with an information search problem in a systems development context and asked them to gather information for a proposed system. Protocols of the search sessions were analyzed, and stopping rules used and information gathered by the analysts were identified. Results indicated that the use of certain stopping rules resulted in greater quantity and quality of information gathered. Additionally, stopping rule use, rather than analyst experience, accounted for the quantity and quality of information elicited. Finally, stopping rule use differed between more experienced and less experienced analysts. To apply our findings about stopping rules from the first experiment, we performed a second experiment in which we investigated stopping rule use in a consumer information search task on the world wide web. Results indicated the use of the same stopping rules as in the first experiment, although in different proportions. Implications for information search theory and practice are discussed.     

Quality monitoring for early hearing detection and intervention programs to optimize performance

The purpose of this chapter is to review the principles of quality monitoring for newborn screening programs at both a hospital and a public health level. The focus is on quality assurance in Early Hearing Detection and Intervention (EHDI). The chapter addresses the need for a systems approach to quality, beginning with the birth screening, moving to follow-up re-screening and on to confirmatory evaluations and life-long intervention and management for the infants identified with permanent hearing loss. Benchmarks are identified to assist those involved in establishing programs or in improving program performance. As the use of electronic information systems in EHDI becomes widespread, the importance of strict computer-based logic rules to assure patient privacy is addressed.     

Young children's use of scale models: testing an alternative to representational insight

Using a symbolic object such as a model as a source of information about something else requires some appreciation of the relation between the symbol and what it represents. Representational insight has been proposed as essential to success in a symbolic retrieval task in which children must use information from a hiding event in a scale model to find a toy hidden in a room. The two studies reported here examine and reject a proposed alternative account for success in the model task. The results with 2.5-year-olds and 3-year-olds show that children's successful use of a scale model cannot be attributed to the simple detection of the correspondences between the objects in the two spaces. A higher-level representation of the model-room relation (i.e. representational insight) is required. The results are discussed with respect to the coalescence of multiple factors in determining performance in the model task.     

Mood-congruent perceptions of success depend on self-other framing

Research on self-other framing suggests that self-judgements typically neglect information about others and instead use an ambiguous intrapersonal standard, making these judgements susceptible to the influence of mood as predicted by the affect infusion model (Forgas, 1995). Two experiments tested the hypothesis that mood-congruent judgements of personal success occur when these judgements are framed to maintain self-focus but are eliminated when participants first focus on other individuals. In Experiment 1, self-other framing moderated the influence of mood on perceived success for an ambiguous object identification task. Happy participants reported greater perceived success, compared to sad participants, after judging their own success relative to others (self-focused frame) but not after directly judging the success of others (other-focused frame). Experiment 2 replicated these results with students' perceptions of their academic success. These findings suggest that the open, constructive processing accompanying most self-judgements is critical in producing mood-congruent perceptions of personal success.     

Predicting children's media use in the USA: Differences in cross‐sectional and longitudinal analysis

The purpose of this paper is to examine the predictors of children's media use in the USA, comparing cross‐sectional and longitudinal analyses. Data come from Waves 1 and 2 of the Child Development Supplement (CDS‐I; CDS‐II), a nationally representative sample of American children aged 0–12 in 1997 and 5–18 in 2002. Twenty‐four hour time use diaries are used to assess children's time spent with media (television, video games, computers, and reading). Predictors examined include socio‐demographics, neighbourhood quality, family factors, and other media use. Ordinary least square (OLS) multiple regressions were performed by three age groups (preschoolers, early school age, and preadolescence). The findings suggest that neighbourhood quality, parental limits and family conflict are significant predictors of children's media use within time or over time, but the significance depends on the type of media and child's developmental stage. In addition, children's television viewing and reading habits are formed early in life and reinforced over time. This study is among the first to provide empirical evidence for the effect of early contextual factors on the life course of children's media use from a developmental perspective.     

COMMENTS AND CORRECTIONS: Chance and Intentionality in Creative Performance

Because people must organize information and combine or reorganize categories to produce creative solutions, there is reason to suspect that concepts play an important role in creative thought. Unfortunately, little is known about the kind of concepts that contribute to the success of people' s creative problem-solving efforts. Accordingly, 135 college students were presented with a series of novel, ill-defined problems in which they were asked to select a set of concepts they thought would help them solve these problems. These indices of concept preferences were then correlated with the quality and originality of the solutions obtained on a set of two creative problem-solving tasks. The use of concepts organized around long-term goals was positively related to indices of solution quality and originality. The implications of these findings for understanding the kind of concepts that contribute to creative thought are discussed.     

Twenty years of applied behavior analysis in treating the most severe problem behavior: Lessons learned

This paper reviews some of the author's experiences during the past 20 years of treating severe problem behavior. Factors that represent barriers to success are identified and discussed, as are factors that contribute to the development of successful treatment programs. Barriers to success include the inherent reactive nature of human services and educational systems, expertise problems, systems problems, information gaps, programming problems, characteristics of problem behavior, and maintenance problems. Some new programmatic directions are suggested for overcoming the various treatment barriers. The paper concludes with strategies and factors to consider that will ensure long-term success in the treatment of severe problem behavior.     

Inferring the mental processes of other minds

In 4 experiments, the authors examined how several variables influence the quality and quantity of information that people use to make judgments about other people. The results showed that when possible, participants consistently responded appropriately to variables that influenced information that they used to make inferences about other minds. The results also suggested that under circumstances with no opportunity to contrast behavior in different situations, people might not be sensitive to the quality and quantity of information present. The authors interpreted results to mean that under most circumstances, people make inferences in a way that efficiently uses information about the causes of behavior.     

Process analytic models of creative capacities

Although a number of factors condition the success of creative efforts, most investigators recognize the fundamental importance of novel problem solutions. As a result, a number of systems intending to describe the processes contributing to the generation of innovative problem solutions have been proposed. In the present article, earlier models describing the processes contributing to creative problem solutions are reviewed. The common themes appearing in these models are then considered in relation to the use of extant information structures. Certain implications of cognitive information processing for understanding the nature and ontogeny of the creative act are then discussed, along with their potential contributions to the identification and development of creative potential.     

A Social Interpolation Model of Group Problem-Solving

How do people use information from others to solve complex problems? Prior work has addressed this question by placing people in social learning situations where the problems they were asked to solve required varying degrees of exploration. This past work uncovered important interactions between groups' connectivity and the problem's complexity: the advantage of less connected networks over more connected networks increased as exploration was increasingly required for optimally solving the problem at hand. We propose the Social Interpolation Model (SIM), an agent-based model to explore the cognitive mechanisms that can underlie exploratory behavior in groups. Through results from simulation experiments, we conclude that “exploration” may not be a single cognitive property, but rather the emergent result of three distinct behavioral and cognitive mechanisms, namely, (a) breadth of generalization, (b) quality of prior expectation, and (c) relative valuation of self-obtained information. We formalize these mechanisms in the SIM, and explore their effects on group dynamics and success at solving different kinds of problems. Our main finding is that broad generalization and high quality of prior expectation facilitate successful search in environments where exploration is important, and hinder successful search in environments where exploitation alone is sufficient.     

Personal privacy in the health care system: employer-sponsored insurance, managed care, and integrated delivery systems

Widespread collection and use of identifiable information can promote social goods while, at the same time, infringing on personal privacy. Information systems are developing within the context of a fundamental transformation in the organization, delivery, and financing of health care. Changes in the health care system include rapid development of employer-sponsored health coverage, managed care organizations, and integrated delivery systems. These complex, multifaceted arrangements for delivering and paying for health care require ever-more-sophisticated information systems that facilitate extensive sharing of personal data. Systemic flows of sensitive health information occur both vertically and horizontally among employers, hospitals, insurers, laboratories, and suppliers. Beyond this complex web of vertical and horizontal sharing are the multiple demands for information management, quality assurance, research, governmental regulation, and public health. Theoretical problems exist with the law and ethics of informational privacy. The traditional method of exercising control over personal health information is through informed consent. Informed consent, however, within a modern health information infrastructure becomes highly complex. In this kind of environment, the doctrine of informed consent is flawed and does not provide sufficient control over personal information to assure adequate protection of privacy.