Which Life Domains Impact Most on Self-Rated Health? A Cross-Cultural Study of Switzerland and its Neighbors

General life satisfaction (GLS) is a strong health correlate and can be conceptualized as an aggregate of satisfactions in different life domains and as a proxy for quality of life. Little is known about which life domains—measured as domain satisfactions—contribute most to GLS and are the best predictors of self-rated health (SRH) and whether these associations differ between countries and/or language areas. We used stepwise logistic regression models to investigate how domain satisfactions, GLS and SRH are interrelated and compared German-speaking and French/Italian-speaking Switzerland with the corresponding neighboring countries of Germany, Austria, France and Italy. The associations of domain satisfactions with GLS and SRH varied significantly in magnitude and between countries and language areas. GLS was strongly related to self-rated health in all populations, but more so in the German-speaking than the French/Italian-speaking regions. Adjusted for all domain satisfactions, satisfaction with one’s financial situation and job satisfaction showed independent effects on SRH and were the most important predictors of GLS, although no clear geographical pattern emerged. Domain-specific satisfactions were similarly associated with GLS and SRH, but the strength of the association varied between German-, French- and Italian-speaking populations. Any similarity between Swiss language areas and neighboring countries was limited to German-speaking populations. Country- and language-specific life domain satisfactions may provide useful pointers for targeting policies in the respective domains.     

Inclusive foster care: How foster parents support cultural and relational connections for Indigenous children

How do foster parents support the relational and cultural connections of Indigenous children in care? The answer matters; the well‐being of Indigenous children depends on these connections. At one of Canada's largest Indigenous child welfare agencies, we implemented inclusive foster care, an approach requiring foster parents to engage with the family, community, and cultural life of the child for whom they care. Fifteen years later, we present findings from a thematic analysis of interviews with 13 foster parents who participated in a mixed methods study exploring inclusive foster care. We discuss foster parent strategies to support the child's family relationships: setting clear boundaries, rolling with inconsistency, and understanding the family's (hi)stories. Strategies to strengthen cultural connectedness include visiting traditional territory, using personal initiative and Indigenous knowledge, and engaging in school‐based and “multi‐purpose” cultural opportunities. Drawing on foster parent stories of success, we propose ways for social workers, foster parents, and policymakers to address the cultural and relational disruption that characterizes the experience of Indigenous children in care in colonial settler societies.     

An inspection game of internal audit and the influence of whistle-blowing

In this paper we analyse how whistle-blowing affects fraudulent behaviour of managers while the company instigates imperfect internal audit to detect the fraud. To do so, we employ in a first step a non-cooperative inspection game to analyse fraudulent behaviour of a manager controlled by an internal auditor. In a second step we introduce exogenous whistle-blowing of a manager’s employee to aid the auditor to reveal the fraud. In a third step, the two-person inspection game is extended to a three-person approach with endogenous whistle-blowing. Our novel results are that the intensity of internal audit is always lower with whistle-blowing than without and that whistle-blowing renders the manager to act less fraudulently than compared to the basic inspection game if and only if she is unaware of the whistle-blower’s expected pay-off and the efficacy of internal audit is sufficiently low.     

Lead and Lag Times of Countries in a Gentler World

Are we moving towards a gentler world, and if so, how fast are we moving? Using data for 25 countries from 1991 to 2012, a positive trend is observed in four indicators—Welzel’s Emancipative Values Index and Gender Equality sub-index, Locus of Control and Nahkur’s Societal Index of Interpersonal Destructiveness (SIID). Applying the simple logistic growth pattern over time, from a floor of 0 to a ceiling of 1, it is apparent that gender equality scores and locus of control are past their fastest growth phase (middle part of the stretched-out S-curve). Emancipative Values Index is in its fastest growth phase, but as its S curve is much more stretched out, so its increase is slow. Normalized SIID is already in its late growth phase, close to the ceiling at 1; thus its further increase is bound to be quite slow. We also looked at the lead and lag times of individual countries compared to world average. This is more informative than saying “Country A is below the world average by x units”. The average lag time was by far the largest for Russia, Ukraine and Moldova (56–42 years). The average lead time was by far the largest for Sweden and Norway (116 and 42 years). Central East Europe was the only region where index values rose rather steadily. Post-2012 increase rate is bound to be slower, feeding frustration.

     

Analyzing Disaster Loss Trends: A Comparison of Normalization Methodologies in South Korea

Increasing concern for climate change adaptation and disaster risk reduction is driving the need for more accurate and sophisticated tools of analysis to protect populations. Standards of analysis that can normalize measurements under various contexts are particularly valuable in the global arena of disaster management. One concern that may benefit from normalizing is the analysis of disaster loss trends. Previous studies have used a combination of inflation, wealth, and societal factors in their normalization of disaster loss methodologies. This study examines the various normalization methods in previous research and applies a selection of eight formulae to 50 years of disaster data in South Korea. The results show both decreasing and increasing trends in disaster damage losses based on the methods, but there are curious biases under the results that may be artifacts of Korea's unique experiences in economic development. The conclusion discusses how the case of Korea may help to clarify the optimal normalization methodology for other countries.     

Convergent Validity and Test–Retest Reliability of the Authentic Happiness Inventory in Working Adults

This study aimed to test the convergent validity and test–retest reliability of a measure of happiness questionnaire; the authentic happiness inventory questionnaire (AHI), with a convenience sample of working adults (n = 30). Participants completed the AHI on two consecutive days. On the second day, participants also completed the Satisfaction with Life Scale (SWLS) and the positive and negative affect scale (PANAS). Internal consistency was determined using Cronbach alpha coefficients, test–retest reliability using a one-way intraclass correlation coefficient (ICC) model, and convergent validity using Pearson product-moment correlations. A further sample of working adults (n = 192) was included to conduct an exploratory factor analysis using principal component analysis (total n = 222). High internal consistency and overall test–retest reliability for the AHI was found (Cronbach alpha = .92 and ICC = .92, p < .001). There was a strong positive correlation between AHI and SWLS (r = .76, p < .005) and AHI and PANAS positive (r = .82, p < .005). There was a medium negative correlation between AHI and PANAS (r = .48, p < .005). Principal components analysis revealed the presence of five components with eigenvalues exceeding one, with one factor explaining 36.1 % of the variance. Findings confirmed the convergent validity and test retest reliability of the Authentic Happiness Inventory in working adults.

     

Imagining is Not Observing: The Role of Simulation Processes Within the Mimicry-Liking Expressway

Journal of Nonverbal Behavior - Individuals automatically mimic a wide range of different behaviors, and such mimicking behavior has several social benefits. One of the landmark findings in the...     

Without each other,we have nothing: a state-of-the-art analysis on how to operationalize social capital

Review of Managerial Science - The objective of this article is to review current empirical literature on social capital, a term that broadly refers to the valuable resources derived from...     

Probability of success for phase III after exploratory biomarker analysis in phase II

The probability of success or average power describes the potential of a future trial by weighting the power with a probability distribution of the treatment effect. The treatment effect estimate from a previous trial can be used to define such a distribution. During the development of targeted therapies, it is common practice to look for predictive biomarkers. The consequence is that the trial population for phase III is often selected on the basis of the most extreme result from phase II biomarker subgroup analyses. In such a case, there is a tendency to overestimate the treatment effect. We investigate whether the overestimation of the treatment effect estimate from phase II is transformed into a positive bias for the probability of success for phase III. We simulate a phase II/III development program for targeted therapies. This simulation allows to investigate selection probabilities and allows to compare the estimated with the true probability of success. We consider the estimated probability of success with and without subgroup selection. Depending on the true treatment effects, there is a negative bias without selection because of the weighting by the phase II distribution. In comparison, selection increases the estimated probability of success. Thus, selection does not lead to a bias in probability of success if underestimation due to the phase II distribution and overestimation due to selection cancel each other out. We recommend to perform similar simulations in practice to get the necessary information about the risk and chances associated with such subgroup selection designs.