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This study evaluates the role of monetary incentives in the recruitment of crack-cocaine and injection drug users into an AIDS prevention program in Anchorage, Alaska. The study also looks at how seasonality impacted recruitment of this population. Data from interviews with 1,427 out-of-treatment drug users were aggregated to monthly levels. Forty-seven months of data were used in the analysis. Independent variables included monthly income, source of income, employment status, self-reported homelessness, incentive paid at intake, potential incentive at follow-up, and data on the local unemployment rate. A dummy coded variable for seasonality also was included. Regression analysis was used to develop a model using number of individuals recruited each month as the dependent variable. Only one variable, the incentive paid at intake, was significant at p < .05. A strong interaction effect was found between the amount of the incentive paid at intake and seasonality. The chapter concludes that the use of monetary incentives has a positive effect on the recruitment of hidden populations.

The purpose of this conceptual chapter is to analyze the current state of the astructural bias in symbolic interactionism as it relates to three inter-related processes over time: (1) the formalization of critiques of symbolic interactionism as ahistorical, astructural, and acritical perspectives; (2) an ahistorical understanding of early expressions of the disjuncture between symbolic interactionism and more widely accepted forms of sociological theorizing; and (3) persistent and widespread inattentiveness to past and present evidence-based arguments that address the argument regarding symbolic interactionism as an astructural, ahistorical, and acritical sociological perspective. The argument frames the historical development of the astructural bias concept in an historically and socially conditioned way, from its emergence through its rejection and ultimately including conclusions about contemporary state of the astructural bias as evidenced in the symbolic interactionist literatures of the last couple of decades. The analysis and argument concludes that the contemporary result of these intertwined historical and social conditioning processes is that the astructural bias myth has been made real in practice, and that the reification of the myth of an astructural bias has had the ruinous effect of virtually eradicating a vital tradition in the interactionist perspective which extends back to the earliest formulations of the perspective. As a result, a handful of suggestions that serve to aid in reclaiming the unorthodox structuralism of symbolic interactionism and the related interactionist study of social organization are provided in the conclusion.

This chapter assesses the power focus in contemporary interactionist theory, and advances several premises about power based on recent research and theory. I first examine the main assumptions of the view of power that emerged in the wake of the astructural bias debate, which became an implicit standard for assessments of power in the tradition. Next, I explore the criticisms of the astructural bias thesis and related conceptualization. My argument is that while the debate correctly spotlighted the power deficit of interactionism, it had theoretical implications that distracted us from the task of fully conceptualizing power. In the second part of this chapter, I examine recent interactionist work in order to build general premises that can advance interactionist theory of power. Based on this analysis, I elaborate four premises that interactionists can use, regardless of theoretical orientation. Drawing on examples from my ethnographic research, I illustrate how researchers can benefit from the use of these premises.

The Bureau of Economics in the Federal Trade Commission has a three-part role in the Agency and the strength of its functions changed over time depending on the preferences and ideology of the FTC’s leaders, developments in the field of economics, and the tenor of the times. The over-riding current role is to provide well considered, unbiased economic advice regarding antitrust and consumer protection law enforcement cases to the legal staff and the Commission. The second role, which long ago was primary, is to provide reports on investigations of various industries to the public and public officials. This role was more recently called research or “policy R&D”. A third role is to advocate for competition and markets both domestically and internationally. As a practical matter, the provision of economic advice to the FTC and to the legal staff has required that the economists wear “two hats,” helping the legal staff investigate cases and provide evidence to support law enforcement cases while also providing advice to the legal bureaus and to the Commission on which cases to pursue (thus providing “a second set of eyes” to evaluate cases). There is sometimes a tension in those functions because building a case is not the same as evaluating a case. Economists and the Bureau of Economics have provided such services to the FTC for over 100 years proving that a sub-organization can survive while playing roles that sometimes conflict. Such a life is not, however, always easy or fun.

This chapter focuses on techniques and technologies to aid groups in making decisions, with an emphasis on computer-based support. Many office workers regularly meet colleagues and clients in virtual meetings using videoconferencing platforms, which enable participants to carry out tasks in a manner similar to a face-to-face meeting. The development of computer-based platforms to facilitate group tasks can be traced back to the 1960s, and while they support group communication, they do not directly support group decision making. In this chapter we distinguish four technologies developed to provide support to group decisions, clustered into two main traditions. Technologies in the task-oriented tradition are mainly concerned with enabling participants to complete tasks to solve the group's decision problem via computer-supported communications. Group Decision Support Systems and social software technologies comprise the task-oriented tradition. Alternately, in the model-driven tradition, participants use computers to build and use a model that acts as a referent to communicate, mostly verbally, about the group's decision problem. System modeling and decision-modeling technologies constitute the model-driven tradition. This chapter sketches the history and guiding ideas of both traditions, and describes their associated technologies. The chapter concludes with questioning if increased availability of online tools will lead to increased use of group decision support technologies, and the differential impact of communication support versus decision support.

A history of the intellectual origins of the debate over the astructural bias is presented. The chapter summarizes both the emergent bias thesis and the charge of an astructural bias. The major works within this debate are reviewed. It has been found that the astructural bias still exists within the work of contemporary interactionists. The conclusion is that if interactionists want their work to be taken seriously, then they must seriously confront the distinguishing concept in sociology: social structure.

Students with mathematics-related learning difficulties (MLD) experience difficulties in many areas of mathematics achievement; without intervention, these difficulties will persist. In this chapter, I first review research examined cognitive processes deficits of MLD. Because difficulties in learning mathematics are presumably due to these cognitive deficits, findings of these studies can shed light on developing effective intervention programs. Second, using Response to Intervention (RTI) as a framework to distinguish the intensity level of intervention, I review findings from existing Tier 2 and Tier 3 intervention studies and synthesize the instructional approaches used in these studies as well as the factors researchers used to intensify the intervention. Finally, Data-Based Individualization (DBI), a systematic approach to intensify intervention, commonly used at the Tier 3 level, is review. Suggestions for future research directions for intensive mathematics intervention are also provided.

• Explain what a smart consumer is through Generation Z views

• Understanding the nature of decision-making process with the use of smart technologies

Explain what a smart consumer is through Generation Z views

Understanding the nature of decision-making process with the use of smart technologies