Cognitive-behavioral therapy. Treating individuals with dual diagnoses

Because deinstitutionalization of individuals with mental retardation/developmental disability and mental illness has become the standard of practice, many practitioners are now faced with the challenge of serving the needs of this specialized population. The existence of mental illness in individuals with mental retardation has been well established in the literature, but there are relatively few studies involving therapeutic interventions in this client population. However, there is a theoretical framework that guides practice and measures the effectiveness of interventions with this specialized population. This article presents a case study exploring the application of cognitive-behavioral therapy to a client with mental retardation and mental illness. The theoretical framework, major concepts, and key assumptions of the theory will be reviewed, as well as treatment outcomes.     

Putting social preferences to work: Can revealed preferences predict real effort provision?

This paper presents a model of real effort provision in conjunction with rational social preference theory to predict how individuals exert effort to replace an exogenously determined “state of the world” with a preferred social outcome. Binary dictator games and real effort tasks are used to examine whether individuals exert effort in a manner that is consistent with their revealed preferences. The analysis of controlled laboratory experiments suggest that while individuals’ effort provisions are generally consistent with the theory, those who reveal relatively pro-social preferences fail to procure their “preferred” outcomes too frequently when the state of the world is highly inequitable in their favor. Consideration is given to alternative theories, namely ego depletion and cognitive dissonance, as potential explanations of social outcomes. There is evidence to suggest that dictators, on average, experience ego depletion which leads to a reduction in pro-social behavior through time.     

Computer re-sampling for demographically representative user populations in anthropometry: a case of doorway and clear floor space widths

Anthropometric studies typically require a large number of individuals that are selected in a manner so that demographic characteristics that impact body size and function are proportionally representative of a user population. This sampling approach does not allow for an efficient characterization of the distribution of body sizes and functions of sub-groups within a population and the demographic characteristics of user populations can often change with time, limiting the application of the anthropometric data in design. The objective of this study is to demonstrate how demographically representative user populations can be developed from samples that are not proportionally representative in order to improve the application of anthropometric data in design. An engineering anthropometry problem of door width and clear floor space width is used to illustrate the value of the approach.     

From Despair to Integrity: Using Narrative Therapy for Older Individuals in Erikson’s Last Stage of Identity Development

Adults aged 65 and over are a growing population in the United States today. This population is underrepresented in the mental health literature despite the high rates of depression and suicide. Additionally, the newest generation of older individuals is more likely to seek therapy than past generations, furthering the need for mental health professionals to be prepared for treating older individuals. Erikson in Childhood and society, Norton, New York, (1950) describes this time period as being critical in terms of the final identity crisis, integrity versus despair. Integrity is marked by a positive evaluation of the individual’s entire life, less anxiety about death, and a feeling of gaining wisdom. Individuals who do not resolve this crisis can manifest despair in a number of ways, including depression, anger, and regret. This model proposes utilizing Narrative therapy (White in Maps of narrative practice, Norton, New York, 2007) to understand how elderly individuals evaluate their lives in reference to their environment. The model utilizes externalization, unique outcomes, and re-membering conversations to unlock subjugated stories and promote integrity.     

Poverty status probability: a new approach to measuring poverty and the progress of the poor

Poverty measurement and the analysis of the progress (or otherwise) of the poor, whether it is societies, families or individuals, is beset with difficulties and controversies surrounding the definition of a poverty line or frontier. Here, borrowing ideas from the mixture model literature, a new approach to assigning poverty-non poverty status is proposed which avoids specifying a frontier, the price is that an agent’s poverty status is only determined to the extent of its chance of being poor. Invoking variants of Gibrat’s law to give structure to the distribution of outcomes for homogeneous subgroups of a population within the context of a finite mixture model of societal outcomes facilitates calculation of an agent’s poverty status probability. From this it is straightforward to calculate all the usual poverty measures as well as other characteristics of the poor and non poor subgroups in a society. These ideas are exemplified in a study of 47 countries in Africa over the recent quarter century which reveals among other things a growing poverty rate and a growing disparity between poor and non poor groups not identified by conventional methods.     

The triumph of hope over disappointment: A note on the utility value of good health expectations

In this paper, we present and test the empirical implications of competing theories about how expectations of outcomes affect utility. In the first utility formulation, which is consistent with particular interpretations of disappointment, prospect theory and regret theory, individuals receive negative utility from outcomes that were worse than expected. This directly implies that expectations themselves enter utility negatively. The second utility formulation incorporates anticipatory savoring, where positive expectations about the future directly lead to more utility today. We test which of these formulations best explains actual connections between health and welfare over time, using data from the Household Income and Labour Dynamics in Australia survey. Estimated coefficients from fixed-effects ordered logit models support a strong positive utility impact of positive expectations: expecting good health in the future increases happiness now. Our results are one argument for benevolent health care providers to allow individuals to maintain unrealistically positive expectations about the future.     

Influence of the gregarious instinct and individuals’ behavior patterns on macro migrations: Simulation experiments

The objective of the model is to simulate the migrations of social groups over certain geographical regions, influenced by the gregarious effect and individual behavior patterns. The people move in search of better work opportunities and welfare. The model components are regions and individuals belonging to certain social groups. A region is characterized by more than 30 parameters, such as geographical data, actual population statistics, education facilities, and work opportunities. For the social groups, the parameters include the demographic and educational statistics. The simulated individuals attempt to optimize their welfare by moving over the model map. Spontaneous migration, without apparent goal, is also considered. The region parameters change owing to the number and the parameters of incoming individuals, which provides a dynamic and nonlinear feedback. The qualitative results reveal that the model never reaches a steady state and that the social groups remain in periodical movement. The simulations are agent-based. No differential equations (like in the System Dynamics approach) or any extant theory or mathematical model is used.     

Toward a General Sociological Theory of the Economy

In the spirit of Gerhard Lenski's macro‐level analysis of stratification and societal evolution, a theory of the economy is presented. Like Lenski's work, this theory emphasizes population and power as they interact with production and distribution dynamics. Macro‐level social organization in general, and economic processes in particular, are viewed as driven by the forces of population, power, production, and distribution. For each force, a theoretical proposition is presented. Forces are all implicated in each other; the resulting set of principles provides a view of how production and distribution, as the core of an economy, are embedded in population and power processes, and vice versa. The end result is a more general macro‐level theory that captures the spirit and substance of Lenski's models of societal organization.     

The Relationship of Birth Order and Gender with Academic Standing and Substance Use Among Youth in Latin America

Alfred Adler attempted to understand how family affects youth outcomes by considering the order of when a child enters a family (Adler, 1964). Adler's theory posits that birth order formation impacts individuals. We tested Adler's birth order theory using data from a cross-sectional survey of 946 Chilean youths. We examined how birth order and gender are associated with drug use and educational outcomes using three different birth order research models including: (1) Expedient Research, (2) Adler's birth order position, and (3) Family Size theoretical models. Analyses were conducted with structural equation modeling (SEM). We conclude that birth order has an important relationship with substance use outcomes for youth but has differing effects for educational achievement across both birth order status and gender.     

Rural ageing in the United States: Trends and contexts

This paper examines rural population ageing in the United States with a particular focus on the contrasting contexts in which older rural residents live. We compare the characteristics of the older population by rural versus urban residence, and explore challenges and opportunities associated with the ageing of rural baby boomers. The United States is a vast territory, and rural areas in the US are diverse regionally, in poverty and income, principal forms of employment, proximity to metropolitan areas, population size, density and composition, the history of change in these parameters, and a number of other factors that affect the ageing process. Hence, the diversity across rural areas is an important consideration in what affects the well being of rural elderly individuals, as well as the community-level impacts of rural ageing. Further, the characteristics of the older rural population help shape community and rural development outcomes for diverse rural communities. We use data from various US Census Bureau sources, and cite other studies to provide a demographic overview of ageing in the rural United States, and to analyze how this situation differs in varying socio-demographic and regional contexts. In the concluding section, we focus on policy implications associated with rural ageing.     

A theory based evaluation of an intervention to promote positive health behaviors and reduce social isolation in people experiencing homelessness

ABSTRACT

Homelessness adversely affects an individual's ability to access healthcare, opportunities for social interaction and recreational activities such as physical activity. This study aimed to evaluate the impact of a community-based physical activity and peer support intervention on the health and wellbeing of homeless participants. This study employed semi-structured interviews to investigate the perceived impact of the Street Fit Scotland intervention on the health and wellbeing of 10 homeless adults. Interviews were audio recorded and transcribed verbatim. A thematic analysis was conducted. Participants reported that their health and wellbeing had improved since attending the intervention. This was attributed to improvements in self-esteem, social interaction and mental wellbeing. Participants generally felt that their physical activity had increased since attending Street Fit Scotland, and a number of individuals reported that they were making healthier choices with regards to health behaviors. A theory of change logic model was developed that demonstrated how each component of the intervention influences the observed and intended outcomes. Attendance of Street Fit Scotland had positive effects on participant's health and wellbeing, particularly concerning self-esteem, health behaviors, social interaction, and physical activity. More efforts should be made to evaluate small-scale interventions that are reaching vulnerable population groups.     

Explaining the gap between the theoretical prediction and experimental evidences about the investment in the spouse's human capital

Economic theory that assumes personal income maximization predicts that a wife will under invest in her husband's human capital. However, casual observation of real life marriages and experimental evidences show that outcomes are more efficient than the theoretical prediction. This paper argues that the gap between the theoretical prediction and experimental evidences is due to inappropriate assumptions in the theory. That is, the bias in the theoretical prediction is caused by the neglect of the non-material factors that play crucial roles in marriage and the neglect of the fact that individuals may behave altruistically in marital decisions.     

Managed care for Medicare: some considerations in designing effective information provision programs

Consumer information-processing theory provides a useful framework for policy makers concerned with regulating information provided by managed care organizations. The assumption that consumers are rational information processors and providing more information is better is questioned in this paper. Consumer research demonstrates that when faced with an uncertain decision, consumers adopt simplifying strategies leading to sub-optimal choices. A discussion on how consumers process risk information and the effects of various informational formats on decision outcomes is provided. Categorization theory is used to propose guidelines with regard to providing effective information to consumers choosing among competing managed care plans. Public policy implications borne out of consumer information-processing theory conclude the article.     

Taking the longer view: Explaining Multicultural London English and Multicultural Paris French

The article explores the perplexing outcomes of comparative research projects in London and Paris on language change in multilingual areas of the cities populated by large numbers of recent immigrants with very diverse language backgrounds. In London, as in many other northern European cities, language contact on such a large scale has resulted in the emergence of a “multiethnolect”: a repertoire of innovative linguistic forms used by young people of all ethnicities, including monolingual non‐immigrant speakers. In Paris, however, there was no such repertoire. I propose four factors that are necessary for a multiethnolect to emerge and that explain why similar processes of population movement, immigration, and globalization have produced such different linguistic outcomes in London and Paris. These factors remind us that language evolution, like language use, is constrained not only by the social characteristics of individuals but also by the socio‐cultural historical contexts in which individuals live.     

An approximate dual-self model and paradoxes of choice under risk

We derive a simplified version of the model of Fudenberg and Levine, 2006, Fudenberg and Levine, 2011 and show how this approximate model is useful in explaining choice under risk. We show that in the simple case of three outcomes, the model can generate indifference curves that “fan out” in the Marschak–Machina triangle, and thus can explain the well-known Allais and common ratio paradoxes that models such as prospect theory and regret theory are designed to capture. At the same time, our model is consistent with modern macroeconomic theory and evidence and generates predictions across a much wider set of domains than these models.     

Evaluating unintended program outcomes through Ripple Effects Mapping (REM): Application of REM using grounded theory

Several evaluation models exist for investigating unintended outcomes, including goal-free and systems evaluation. Yet methods for collecting and analyzing data on unintended outcomes remain under-utilized. Ripple Effects Mapping (REM) is a promising qualitative evaluation method with a wide range of program planning and evaluation applications. In situations where program results are likely to occur over time within complex settings, this method is useful for uncovering both intended and unintended outcomes. REM applies an Appreciative Inquiry facilitation technique to engage stakeholders in visually mapping sequences of program outcomes. Although it has been used to evaluate community development and health promotion initiatives, further methodological guidance for applying REM is still needed. The purpose of this paper is to contribute to the methodological development of evaluating unintended outcomes and extend the foundations of REM by describing steps for integrating it with grounded theory.     

Influence of human population size and the built environment on avian assemblages in urban green spaces

While studies of how habitat patch dynamics structures avian communities in urban environments has received some attention, there is considerably less known of how the built environment and human population size may influence the structuring of urban bird communities. We investigated bird populations in Pittsburgh, Pennsylvania (U.S.A.) through replicated point count surveys of breeding birds in 50 parks and cemeteries of varying sizes. We counted 4,435 individual birds in 441 counts. Of the 61 species detected, 27 were rare (detected at <8 points). Migratory species accounted for 46.1 % of all individuals, while 23.2 % of all individuals were of introduced species. Species richness increased significantly with green area size, as did the number of rare species. Species diversity decreased significantly with an increase in the proportion of individuals of introduced species; in particular, cavity nesters were less abundant when introduced species were present. Elements of the built urban environment including commercial development and transportation corridors were associated with significant reductions in park-wide species richness, mean number of species per point, and mean number of individual birds recorded per point. Human population size was positively related to increased numbers of individuals of introduced species, but a lower mean number of species per point. Ours is among the first to identify specific relationships between avian population characteristics and human population size, as few other studies have specifically incorporated human population size into a local, fine grain study design. Our data suggest that human population size is an important parameter that can be measured independently of characteristics of the built environment and the physical characteristics of the park itself as a correlate of avian diversity and abundance. Our study points to a variety of trade-offs needed to manage habitat for birds in urban settings.     

On the measurement of unfairness An application to high school attendance in Argentina

This paper presents a framework to measure unfairness in certain outcomes, like education attendance or basic health services consumption. The determinants of an individual outcome are divided into socially acceptable and unacceptable sources of differences in that outcome. To detect an unfair situation, comparisons are restricted to those individuals who share the same value of the vector of acceptable factors. The relevant argument to compare is the expectation of the outcome conditional on the vector of unacceptable variables. Unfairness is related to inequality in the distribution of those conditional expectations across individuals. An illustration of the framework is presented for the case of high school attendance in the Greater Buenos Aires area and other Argentine cities. Received: 25 August 2000/Accepted: 6 August 2001     

Time-based versus money-based decision making under risk: An experimental investigation

This paper investigates whether individuals make similar decisions under risk when the outcomes are expressed in time versus monetary units. We address this issue in two studies measuring individual risk preferences and prospect theory parameters (i.e., utility curvature, probability weighting, and loss aversion) for both time and money. In the first (resp., second) study we consider relatively small (resp., large) time and monetary outcomes. We find that individuals hold similar risk preferences for time and money; we also find evidence that “time is money” with regard to the utility curvature for gains, loss aversion, and decision weighting. However, individuals have different valuations of losing time and money. The utility function for small losses of money is more concave and variable than the utility function for small losses of time (Study 1), but the utility function for large losses of time is more concave and variable than that for large losses of money (Study 2). We argue that these results reflect a difference in the perceived slack of the respective resource.     

How publics’ active and passive communicative behaviors affect their tornado responses: An integration of STOPS and SMCC

During imminent threat crises, such as natural disasters, publics have minutes to decide how to respond after receiving a warning. This study advances understanding of publics’ crisis communicative and noncommunicative behaviors in the context of tornadoes through combining and extending two theories: the social-mediated crisis communication (SMCC) model and the situational theory of problem solving (STOPS). Findings from a survey of Southeast U.S. residents (n = 1,585) indicate that STOPS is internally consistent and accurate at measuring its intended outcomes of communicative action in problem solving. However, the STOPS measures do not have a significant relationship with the desirable outcome for imminent threat crisis communication: individuals following government’s protective action guidance about tornadoes. In comparison, the expanded SMCC model predicts individuals’ self-reported compliance. Finally, variables from the SMCC model and tornado-specific variables were integrated into the STOPS model to explain individuals’ communicative engagement. Implications for theory and public relations practice are discussed.