The Interaction Between Role Structures and Self-Conceptions in Fostering Different Types of Self-Esteem in Innovative and Traditional Elementary Schools*

A two-dimensional model of inner and outer self-esteem is discussed wherein inner self-esteem is hypothesized to be an outcome of self-evaluations of performance in prominent role identities. Outer self-esteem is hypothesized to be related to self-evaluations of both prominent and nonprominent role identities. The research context is a comparison of the different processes facilitating self-esteem in innovative schools (emphasis on student-initiated activities and control) and traditional (emphasis on pre-determined curriculum and teacher-administrator control). Data across school type demonstrate a modest correlation between positive self-evaluations of performance in prominent role identities and both types of self-esteem. The data suggest that high evaluation of performance in nonprominent role identities is related to outer self-esteem but not to inner self-esteem. Further empirical clarification of the concepts was established by viewing the relationships within school type. In the innovative schools both types of self-esteem were predominantly related to positive evaluations of prominent role identities, whereas in the traditional schools both types of self-esteem were related to both performance in prominent and nonprominent role identities. Thus the theoretical distinction gained partial support while the process of gaining self-esteem was shown to be essentially different between alternate school structures. Controls for social desirability, race, sex, and father's occupation did not change these findings.     

Processes of adjustment in organized out-of-school activities: opportunities and risks

Participation in organized out-of-school activities leads to long-term psychosocial and educational benefits for young people. Now we're learning which features of these activities best support individual children.     

A weighted polynomial regression method for local fitting of spatial data

Typically, parametric approaches to spatial problems require restrictive assumptions. On the other hand, in a wide variety of practical situations nonparametric bivariate smoothing techniques has been shown to be successfully employable for estimating small or large scale regularity factors, or even the signal content of spatial data taken as a whole.We propose a weighted local polynomial regression smoother suitable for fitting of spatial data. To account for spatial variability, we both insert a spatial contiguity index in the standard formulation, and construct a spatial-adaptive bandwidth selection rule. Our bandwidth selector depends on the Gearys local indicator of spatial association. As illustrative example, we provide a brief Monte Carlo study case on equally spaced data, the performances of our smoother and the standard polynomial regression procedure are compared.This note, though it is the result of a close collaboration, was specifically elaborated as follows: paragraphs 1 and 2 by T. Sclocco and the remainder by M. Di Marzio. The authors are grateful to the referees for constructive comments and suggestions.     

Elites and popular nationalism

Much current theory concerning nationalism holds that elites commonly create or cause popular nationalism. In part, that thesis may be due to an overwhelming emphasis in research on nationalism on positive cases: cases where nationalism has appeared, ignoring cases where it has not. In this article, I challenge the thesis by showing numerous historical cases in which elites have promoted nationalisms that ordinary people have not adopted, or in which ordinary people have adopted a nationalism before it was taken up by elites. Even if elites do not create popular nationalism, however, they can and do shape its expression in a variety of ways, such as organizing it, providing relevant information, or providing opportunity or incentive for it. I show this through historical examples.     

The relationship of trauma exposure to sex offending behavior among male juvenile offenders

The most common type of adult and juvenile sex offender treatment utilizes a Relapse Prevention (RP) model. In RP clients learn about their offense cycle with an emphasis on recognizing high-risk situations and negative emotional states that can be precursors or triggers to offending behavior. This study identifies ways that traumatic experiences and trauma-associated feelings can be offense triggers for juvenile sex offenders. Researchers interviewed the treating clinicians of 40 male juvenile sex offenders who received at least six months of RP sex offender treatment. Results showed that 95% of the youths had experienced a Post Traumatic Stress Disorder (PTSD) Criterion A traumatic event and that 65% met criteria for PTSD based on clinician judgments. Overall, clinicians identified prior trauma exposure as being related to the offense triggers in 85% of offenders. Specifically, the following trauma-related feelings were identified as offense triggers: intense fear in 37.5% of sex offenders, helplessness in 55%, and horror in 20%. Implications for sex offender treatment programs are discussed.     

Quality of Life Indexes for National Policy: Review and Agenda for Research

A number of governments and public policy institutes have developed Quality of Life Indexes – statistics that attempt to measure the quality of life for entire states or regions. We develop 14 criteria for determining the validity and usefulness of such QOL indexes to public policy. We then review 22 of the most-used QOL indexes from around the world. We conclude that many of the indexes are successful in that they are reliable, have established time series measures, and can be disaggregated to study subpopulations. However, many fall short in four areas: (1) indexes vary greatly in their coverage and definitions of domains of QOL, (2) none of the indexes distinguish among the concepts of input, throughput, and output that are used by public policy analysts, (3) they fail to show how QOL outputs are sensitive to public policy inputs, and (4) none have examined convergent validity against each other. We conclude that many of these indexes are potentially very useful for public policy and recommend research to further improve them.