Does It Matter How We Assess Standard of Living? Evidence from Indian Slums Comparing Monetary and Multidimensional Approaches

As part of Sustainable Development Goals, the United Nations have set targets of upgrading slums and reducing poverty in all its dimensions by 2030. Policies towards improving the living conditions of slum-dwellers require proper assessment of their standard of living as well as understanding the associated characteristics. In this paper, using slum-level primary household survey data from three largest Indian cities, we, first, assess the standard of living of slum dwellers using both monetary and non-monetary approaches and then explore how various household and spatial characteristics are consistently or differently associated with both forms of assessments. We use standard monetary indicators, but to assess non-monetary standard of living, use a counting approach framework and justify the selection of specific indicators in the context of slums. Our analysis yields some interesting observations as some characteristics are differently associated with monetary and non-monetary living standards, which should affect policy designs in slums.     

Estimating a sensitive proportion through randomized response procedures based on auxiliary information

Randomized response techniques are widely employed in surveys dealing with sensitive questions to ensure interviewee anonymity and reduce nonrespondents rates and biased responses. Since Warner’s (J Am Stat Assoc 60:63–69, 1965) pioneering work, many ingenious devices have been suggested to increase respondent’s privacy protection and to better estimate the proportion of people, π _A , bearing a sensitive attribute. In spite of the massive use of auxiliary information in the estimation of non-sensitive parameters, very few attempts have been made to improve randomization strategy performance when auxiliary variables are available. Moving from Zaizai’s (Model Assist Stat Appl 1:125–130, 2006) recent work, in this paper we provide a class of estimators for π _A , for a generic randomization scheme, when the mean of a supplementary non-sensitive variable is known. The minimum attainable variance bound of the class is obtained and the best estimator is also identified. We prove that the best estimator acts as a regression-type estimator which is at least as efficient as the corresponding estimator evaluated without allowing for the auxiliary variable. The general results are then applied to Warner and Simmons’ model.     

College Students' Money Beliefs and Behaviors: An Asian Perspective

The multidimensionality of money was investigated, using exploratory factor analysis (EFA). The respondents, 290 college students from Korea, Japan, and the United States, were administered a survey, which included socio-demographic questions, and Furnham's (1984) Money Beliefs and Behaviors (MBBS) Scale. Through a series of principal components analyses, a three-factor model with 10 MBBS items was identified. The three factors, Power, Security, and Financial Modesty accounted for 53.6% of the variance. The findings have implications for college students and financial management practitioners.     

Citizens’ Perception of Past Environmental Damage and Liability in Countries with Transition: Evidence from Kemerovo,Russia

This paper analyzes citizens’ perception of past environmental damage and liability through the estimation of willingness to pay for the implementation of decontamination and land rehabilitation of the damaged site. The paper takes the Russian Federation as a case of country in transition and focuses on Kemerovo region as one of the most affected regions in the country. The major analytical tool employed in the study is choice experiment, data for which was collected through a household survey. Primary conclusion of the analysis is that citizens' willingness to financially support the implementation of environmental quality improvement projects is not high though individuals in the studied area express high level of concern over the issue in focus.     

Calibration estimation in dual-frame surveys

Survey statisticians make use of auxiliary information to improve estimates. One important example is calibration estimation, which constructs new weights that match benchmark constraints on auxiliary variables while remaining “close” to the design weights. Multiple-frame surveys are increasingly used by statistical agencies and private organizations to reduce sampling costs and/or avoid frame undercoverage errors. Several ways of combining estimates derived from such frames have been proposed elsewhere; in this paper, we extend the calibration paradigm, previously used for single-frame surveys, to calculate the total value of a variable of interest in a dual-frame survey. Calibration is a general tool that allows to include auxiliary information from two frames. It also incorporates, as a special case, certain dual-frame estimators that have been proposed previously. The theoretical properties of our class of estimators are derived and discussed, and simulation studies conducted to compare the efficiency of the procedure, using different sets of auxiliary variables. Finally, the proposed methodology is applied to real data obtained from the Barometer of Culture of Andalusia survey.     

Global and multiple test procedures using ordered p-values—a review

This paper reviews global and multiple tests for the combination ofn hypotheses using the orderedp-values of then individual tests. In 1987, Röhmel and Streitberg presented a general method to construct global level α tests based on orderedp-values when there exists no prior knowledge regarding the joint distribution of the corresponding test statistics. In the case of independent test statistics, construction of global tests is available by means of recursive formulae presented by Bicher (1989), Kornatz (1994) and Finner and Roters (1994). Multiple test procedures can be developed by applying the closed test principle using these global tests as building blocks. Liu (1996) proposed representing closed tests by means of “critical matrices” which contain the critical values of the global tests. Within the framework of these theoretical concepts, well-known global tests and multiple test procedures are classified and the relationships between the different tests are characterised.     

Remission from Depression in the DSM: Moving from Rhetoric to Restoration

The Diagnostic and Statistical Manual of Mental Disorders, 5th Edition, the most recent edition of the Diagnostic and Statistical Manual of Mental Disorders, uses the term “remission” to describe the reduction of depressive symptoms. This paper argues that by categorizing someone who no longer has depressive symptoms as “in remission,” that person may feel indefinitely tied to his or her diagnosis. Considering the unfortunate stigma associated with mental illness, permanent linkage to diagnosis through records and professional memory may cause individuals to internalize pathology. In fact, the language of the diagnosis can affect self-perception in sensitive souls for a lifetime. As an implication for practice, we propose that cognitive and narrative therapy approaches, mood-memoirs, and use of metaphor present alternative uses of language that can reduce power imbalances between clinicians and clients, providing a bridge to healing.     

Educated Caring: The Emergence of Professional Identity Among Nurses

This article examines the formation of occupational identity in a nursing program. The normative and ideological dimensions of this process are revealed in the program’s goals and the views of educators and students through qualitative data from observations and 30 in-depth interviews. Educators seek to socialize students toward professionalism to raise the occupation’s status by emphasizing the scientific and technical basis of nursing. Yet students uphold a gendered discourse by identifying a normative dimension of caring as central to their occupational identity. The dilemma between professionalism and caring is reconciled as students construct an occupational identity based on “educated caring,” where these two dimensions are equally valuable and significant.

The Process of Personal Transformation for Adolescents Practicing Mindfulness Skills in an Alternative School Setting

This qualitative study examined the experiences of alternative school students as they participated in a mindfulness skills program. A 7-month school-based mindfulness skills program was integrated into the Grade 10 curriculum for high school students (N = 19; 10 boys and 9 girls, ages 15–17). Students engaged in mindfulness practices twice weekly during class time. Students practiced breath awareness, and seated, walking, and lying mindfulness meditation during the course of the program. Students completed initial and final questionnaires about their experiences as well as written journal entries based on their experiences in the program. At the completion of the program, 14 of the 19 program completers were interviewed (6 boys and 8 girls). Data analysis yielded two broad areas of perceived benefits of participation in the mindfulness skills program: intrapersonal benefits and interpersonal benefits. Intrapersonal benefits included themes of self-awareness and self-regulation (including cognition, emotions, and behavior). Interpersonal benefits included themes of building relationships (with peers, family members, and teachers) and learning to trust. These findings may be useful when planning school-based mindfulness programs and may serve as a guide for researchers studying mindfulness practices for youth.