Cluster analysis in community research: Epistemology and practice

Cluster analysis refers to a family of methods for identifying cases with distinctive characteristics in heterogeneous samples and combining them into homogeneous groups. This approach provides a great deal of information about the types of cases and the distributions of variables in a sample. This paper considers cluster analysis as a quantitative complement to the traditional linear statistics that often characterize community psychology research. Cluster analysis emphasizes diversity rather than central tendency. This makes it a valuable tool for a wide range of familiar problems in community research. A number of these applications are considered here, including the assessment of change over time, network composition, network density, person-setting relationships, and community diversity. A User's Guide section is included, which outlines the major decisions involved in a basic cluster analyses. Despite difficulties associated with the identification of optimal cluster solutions, carefully planned, theoretically informed application of cluster analysis has much to offer community researchers. Editor's note: Dr. Edward Seidman served as action editor for this article while serving as Associate Editor for Methodology.     

Smoking research: basic research, intervention, prevention, and new trends

Smoking is a behavior that is influenced by a variety of factors that cut across methodologies, disciplines, and content areas within health psychology. The present article is designed to show the diversity and richness of smoking research by examining smoking from four perspective: basic laboratory research, intervention, prevention and deterrence, and new directions in smoking research. Methodologies that were derived from such varied sources as psychopharmacology, behavioral pharmacology, behavior therapy, clinical psychology, public health and health promotion, and social and developmental psychology have been used to study the smoking problem. The subject populations in these investigations ranged from animal models, to the individual smoker attempting to quit, to communities involved in health promotion and public health approaches. Future research should seek to provide new and improved examples of interdisciplinary research within the field of health psychology to multidisciplinary approaches from the basic and applied sciences.     

Evaluating scientific research: Belief,hindsight bias,ethics, and research evaluation

Students may exhibit two forms of cognitive biases, belief and hindsight bias, in evaluating a scientific experiment. Counter to disagreement, they may only believe an outcome that agrees with their belief to be more predictable in hindsight than foresight. The focus of this research is on the relationship between these biases. Students were queried about their dichotomous beliefs (learned vs. genetic) about behavior for an animal experiment and then assigned randomly to a no‐outcome or genetic outcome condition. With agreement between students' belief and outcome, the findings revealed hindsight bias (foreseeability) supported by the outcomes for surprise, disappointment, ethics, and research evaluation. With disagreement, hindsight bias was trumped along with perceiving the experiment as being less ethical and scientifically sound. Regardless of the outcome, students seem to adhere to their beliefs. Hence, students may believe that the outcome is inconsequential because it is obvious or contrary to their beliefs.     

Empowerment theory,research, and application

This introduction to the special issue briefly reviews the meaning and significance of the empowerment concept and problems associated with the proliferation of interest in empowerment. We identify some of the topics not included in this issue and relate those to the many broad and diverse areas of psychological empowerment theory and community-based research and intervention that are covered. We present synopses of each article along with some of the themes and lessons cutting across the frameworks, studies, and applications. These include a wide diversity of settings, fairly representative of empowerment interventions, and, at the same time, improved clarity (if not unanimity) of definitions and measurement, which has been a problem in much empowerment research and intervention.     

Ethics, regulation, and biomedical research

Controversy has surrounded the institutions that facilitate discussion and regulation of American biomedical research for years. Recent challenges to the legitimacy of the President's Council on Bioethics have been focused on stem cell research. These arguments represent an opportunity to reconsider the legislation under which stem cell research is regulated, as well as to consider preexisting bodies like the Recombinant DNA Advisory Committee and National Bioethics Advisory Commission. This paper proposes a Federal Life Sciences Policy Commission, a novel commission with advisory and regulatory powers that would benefit from the positive and negative lessons learned under the legislation that currently shapes the formation and institutional characteristics of advisory bodies in the United States. The Federal Life Sciences Policy Commission would have institutional independence not present in previous advisory bodies, while maintaining the tradition of broad societal representation and thoughtful discourse that has developed in the United States.     

Front-line services,complexity, research and policy

The evidence-based culture of modern mental health policy and service delivery is being extended through funded efforts to accelerate implementation of research findings in practice settings. In this paper, we argue that this linear model of research and policy-making is profoundly ill adapted to the nature of practice realities and real-world policy-making processes. Both need to be re-conceptualised using the theoretical and practical resources deriving from modern complexity theory. A short case study illustrates the nature of ‘complexity’, the reframing of the notion of ‘evidence’ it implies and the different relationship between research, practice and policy that flows from this more attuned model of mental health and therapeutic processes.     

Genetic research,adolescents, and informed consent

The participation of adolescents in genetic research engenders unusual problems concerning the nature of their informed consent. In this study we analyze 70 consent documents collected from genetics investigators in the United States who conduct research with children and adolescents. We find that many consent documents do not reflect either the current or the developing ethical and legal standards for research with adolescents and that in many cases the documents are simply confusing or unclear. We make recommendations for change to reflect more adequately the changing perspective concerning the autonomous decision-making capacity of adolescents.     

Adversarial attacks against profile HMM website fingerprinting detection model

People are accustomed to using an anonymous network to protect their private information. The Profile HMM (Hidden Markov Model) Website Fingerprinting Detection algorithm can detect the website that the data stream accesses by pattern matching the captured data traffic. This makes the anonymous network lose its effect. In order to bypass the detection of this model, we propose a method based on genetic algorithm to generate adversarial samples. By migrating the problem of adversarial samples in deep learning, our approach is used for the broader machine learning detection model to do traffic confusion, and then achieves the purpose of bypassing the Profile HMM model detection. The key challenge is how to construct a suitable fitness function to generate an effective adversarial sample at minimal cost. The experimental results show that the success rate of our traffic confusion method is as high as 97%. At the same time, we only need to add less perturbation traffic than the traditional traffic confusion method.     

The practice research network: Research into practice,practice into research

The purpose of the broader project on which this report is based was to utilize a Practice Research Network, an alternative to traditional clinical studies to 1) identify demographically one practice group, namely professional counselors in the United States, 2) describe their practice patterns, and 3) identify their client population and the efficacy of their clinical work through client outcomes based on actual client reports. This article describes the development of one such nation‐wide Practice Research Network (PRN) and provides some preliminary findings for each phase of the project. Use of the PRN model can help overcome the traditional “research to practice” gap and provide research results into community practice thus integrating outcomes measures into the daily practice of mental health professionals. During the early phases of this project, a software program was developed upon which the participating practitioners could identify the data elements within the parameters of the focus on their agreed‐upon research interests, enter data following client visits over time, and by comparing their own composite profiles and effectiveness with those of other participating practitioners who had clients presenting with similar diagnoses, could alter their own service delivery patterns, therapeutic interventions, or approaches while working with the clients and thereby improve the efficacy of their service. By participating, the practitioners benefited by access to downloadable and printable reports on profiles of 1) their specific clients, 2) their service delivery patterns, and 3) the outcomes or efficacy by their clients’ direct feedback. They were also able to compare these results with the composite data from other practitioners.