Beware the angry leader: Trait anger and trait anxiety as predictors of petty tyranny

Drawing on the general aggression model and theories of victimization and temperamental goodness-of-fit, we investigated trait anger and trait anxiety as antecedents of petty tyranny: employing a multilevel design with data from 84 sea captains and 177 crew members. Leader trait anger predicted subordinate-reported petty tyranny. Subordinate trait anxiety was associated with subordinate-reported petty tyranny. The association between leader trait anger and subordinate-reported petty tyranny was strongest among low trait anger subordinates supporting the theory of temperamental goodness-of-fit—or rather misfit—in dyads. Hence, leader anger-generated petty tyranny seems to constitute itself both as an average leadership style and as behavior targeting specific subordinates, in this case low trait anger subordinates. In addition, anxious subordinates report more exposure to such abusive leadership behaviors irrespective of levels of trait anger in the captain. The practical implications are above all the needs for organizational and individual management of leader trait anger.     

Telecommunication and suicide prevention: hopes and challenges for the new century

Development of information technology has created new opportunities and challenges in suicide prevention, research, and clinical practice. This article presents an overview of the wide range of telecommunication-based suicide prevention approaches. Interventions using the Internet, telephone, and videoconferencing are discussed, including crisis intervention, referral, and support, suicide risk assessment, psychotherapy for individuals at risk, and online-based suicide prevention training and education. Research regarding effectiveness of telecommunication-based suicide prevention in various demographic and clinical populations is reviewed, as well as concerns regarding this type of intervention. Future areas of research and development in the use of telecommunication media in prevention of suicide are discussed.     

Distributions of certain variables in samples from two-parameter exponential distribution

Cumulative distribution function of the variable Y=(U+c)/(Z/2ν)) is given. Here U and Z are independent random variables, U has the exponential distribution (1.1) with θ=0, σ=1, Z has the distribution χ² (2ν) and c is a real quantity. The variable Y with U and Z given by (2.2) and (2.3) is used for inference about the parametric functions ?=θ?kσ of a two-parameter exponential distribution (1.1) with k or ? known. Special cases of ? or k are: the parameter θ, the Pth quantile Xp, the mean θ+σ and the value of the cumulative distribution function or of the reliability function at given point a. Also one-sided tolerance limits for a two-parameter exponential distribution can be derived from the distribution of the variable Y. The results are also applied to the Pareto distribution.     

Analysis of environmental flow requirements for macroinvertebrates in a creek affected by urban drainage (Prague metropolitan area,Czech Republic)

The habitat suitability index and environmental flow requirements were assessed for ten species of macroinvertebrates in a 2 km length section of the urban Boti? creek (average flow 0.4 m³ s^?1) in Prague. Boti? creek has been affected by two combined sewer overflows (CSO). Spring, summer and fall seasonal environmental flow requirements were identified using the Physical HABitat SIMulation System (PHABSIM) approach for the whole macroinvertebrate community: Spring – optimal flow 0.32–0.38 m³ s^?1, minimal flow 0.20–0.21 m³ s^?1 and maximal acceptable flow 0.91–0.93 m³ s^?1; Summer - optimal flow 0.42–0.45 m³ s^?1, minimal flow 0.19–0.21 m³ s^?1 and maximal acceptable flow 0.95–1.00 m³ s^?1; Fall - optimal flow 0.38–0.48 m³ s^?1, minimal flow 0.22–0.23 m³ s^?1 and maximal acceptable flow 0.95–0.98 m³ s^?1. The seasonal variability of environmental flow for all three categories is approximately 10%. Environmental flow requirements of the studied species and their life stages vary with depth, velocity and bottom substratum. Due to inflow from the CSOs, the optimal and maximal acceptable flow are not maintained and the maximal flow is exceeded by more than twice its value. Although the Instream Flow Incremental Methodology (IFIM) was primarily designed for large impounded rivers, the study proved its applicability in small streams affected by urbanization and urban drainage.     

Young,anchored and free? Examining the dynamics of early housing pathways in Australia

Young people are remaining in the parental home for longer, and returning there more often, before attaining residential independence. In Australia, these patterns have prompted concerns about a ‘boomerang generation’ whose housing aspirations and decisions have either been directly questioned, or viewed as symptomatic of broader affordability issues. Employing a longitudinal perspective, we argue that early residential pathways reflect a mix of stable and dynamic influences involving individuals, their families, and their broader relationships. Using data from a large cohort (n = 2082) of young Australians participating in the ‘Our Lives’ research project, we examine housing pathway formation between the ages of 12/13 and 21/22. Events such as parental union dissolution or partnership formation were found to encourage home leaving, whilst being employed at a younger age and having grown up rurally predicted both leaving and remaining out of home. Close, supportive relationships with family and friends served to ‘anchor’ respondents at home for longer, and parental socioeconomic resources enabled respondents to leave home and return if needed. The findings suggest that early residential independence reflects various factors, not all of which are in young people’s control, and some of which may hinder the longer term sustainability of their living arrangements.     

Cystatin C as a predictor of mortality in elderly patients with chronic kidney disease

Background: The prevalence of chronic kidney disease (CKD) in the elderly is high. Serum cystatin C is an accurate marker of kidney function and it also has prognostic utility in CKD patients. The aim of our study was to determine the prediction of serum cystatin C and other markers of kidney function on long-term survival in elderly CKD patients.

Methods: Fifty eight adult Caucasian patients, older than 65 years, without known malignancy, thyroid disease and/or not on steroid therapy were enrolled in the study. In each patient, ⁵¹CrEDTA clearance, serum creatinine, serum cystatin C, and estimated glomerular filtration rate using different equations were determined on the same day and patients were then followed for 11 years or until their death.

Results: The means are as follows: ⁵¹CrEDTA clearance 53.3?±?17.4?ml/min/1.73?m², serum creatinine 1.62?±?0.5?mg/dl, serum cystatin C 1.79?±?0.5?mg/l, Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) creatinine equation 40.1?±?14?ml/min/1.73?m², Berlin Initiative Study 2 (BIS2) equation 38.9?±?10.7?ml/min/1.73?m², full age spectrum (FAS) creatinine equation 43.8?±?13.8?ml/min/1.73?m², FAS cystatin C equation 40.1?±?11.7?ml/min/1.73?m². In the follow up period, 47 (81%) patients died. Cox regression analysis showed different hazard ratios (HRs) for death: for ⁵¹CrEDTA clearance HR 1.022 (95% CI 1.004–1.042; p?=?.015), serum creatinine HR 1.013 (95% CI 1.006–1.019; p?=?.001), serum cystatin C HR 2.028 (95% CI 1.267–3.241; p?=?.003), CKD-EPI creatinine equation HR 1.048 (95% CI 1.019–1.076; p?=?.001), BIS2 equation HR 1.055 (95% CI 1.021–1.088; p?=?.001), FAS creatinine equation HR 1.046 (95% CI 1.017–1.074; p?=?.001), FAS cystatin C equation HR 1.039 (95% CI 1.010–1.071; p?=?.009).

Conclusions: Our results showed the highest HR for serum cystatin C among kidney function markers for prediction of outcome in elderly CKD patients.     

Parametric Versus Nonparametric Inference on Zenga Index of Inequality: Issues and Evidence From Survey Data

Recent growing disparities suggests to move from inequality measures based on comparing the incomes of the less fortunate with the overall mean, as the Gini, to the new Zenga index, which instead contrasts the means of the less and the more wealthy subpopulations. After providing a thorough analysis of the theoretical and practical aspects of obtaining parametric and non-parametric confidence intervals for the Zenga inequality measure, we develop a cross-regional study based on the Swiss Income and Consumption Survey, wave 2005. Results show that coverage accuracy and average length of confidence intervals improve when the parametric model offers a good fit to the data.     

ON THE ASSIGNMENT OF INDIVIDUALS TO LATENT CLASSES

Consider an m-way cross-classification table (for m = 3, 4, … ) of m dichotomous variables that describes (1) the 2 ^m possible response patterns to a set of m questions (where the response to each question is binary), and (2) the number of individuals whose responses to the m questions can be described by a particular response pattern, for each of the 2 ^m possible response patterns. Consider the situation where the data in the cross-classification table are analyzed using a particular latent class model having T latent classes (for T = 2, 3, …), and where this model fits the data well. With this latent class model, it is possible to estimate, for an individual who has a particular response pattern, what is the conditional probability that this individual is in a particular latent class, for each of the T latent classes. In this article, the following question is considered: For an individual who has a particular response pattern, can we use the corresponding estimated conditional probabilities to assign this individual to one of the T latent classes? Two different assignment procedures are considered here, and for each of these procedures, two different criteria are introduced to help assess when the assignment procedure is satisfactory and when it is not. In addition, we describe here the particular framework and context in which the two assignment procedures, and the two criteria, are considered. For illustrative purposes, the latent class analysis of a classic set of data, a four-way cross-classification of some survey data, obtained in a two-wave panel study, is discussed; and the two different criteria introduced herein are applied in this analysis to each of the two assignment procedures .     

Addiction Treatment with Deaf and Hard of Hearing People: An Application of the CENAPS Model

ABSTRACT

Alcohol and drug addiction is a significant problem among deaf and hard of hearing people. Looking through a Deaf culture lens, treatment for alcohol and drug addiction is key for providing care for deaf and hard of hearing clients. Using the CENAPS model, an applied cognitive-behavioral therapy program is recommended for addiction treatment. The CENAPS model provides clinicians with tools for stabilizing deaf and hard of hearing clients, supporting their transition to early recovery. Educating the client about the stages of relapse and the stages of recovery, clinicians using this model can better treat and prepare deaf and hard of hearing clients for long-term recovery.