Examining the interplay of an organization's prior reputation,CEO's visibility,and immediate response to a crisis

In one of only a few crisis communication research studies taking a relational approach, examining the effects of a company's prior reputation in publics’ responses to a given crisis situation, Lyons and Cameron (2004) found that both reputation and response profoundly affected publics’ attitude and behavioral intentions toward an organization involved in a crisis situation, using hypothetical, fictitious organizations and crises. Using actual organizations and crises, our research team designed a 2 (reputation: good vs. bad) × 2 (crisis response: apologetic vs. defensive) × 2 (CEO visibility in immediate crisis response: visible vs. invisible) within-subjects experiment (N = 102) to examine the variances in stakeholders’ attitudes and behavioral intentions toward a company after being exposed to online video that delivered a corporate crisis response. Findings were counter-intuitive: a defensive response to a crisis is as acceptable to crisis stakeholders as an apologetic response if the CEO is visible (or audible) in the response and if the pre-crisis company-stakeholder reputation is positive. Good reputation, defensive crisis response and CEO visibility in immediate response to a crisis resulted in the best stakeholder attitudes and purchase intentions.     

Unacceptable forms of work: A multidimensional model

Unacceptable forms of work (UFW) have been identified as an “area of critical importance” for the ILO as it approaches its centenary. Yet there is currently no comprehensive elaboration of the dimensions, causes or manifestations of UFW. This article reports on a research project that has proposed such a framework. The article first investigates and reconceptualizes key discourses on contemporary work to identify their contribution to an analytically rigorous conception of UFW. It then outlines a novel Multidimensional Model that has been designed for use by local policy actors in identifying and targeting UFW in countries across a range of income levels.     

Empirical likelihood for quantile regression models with longitudinal data

We develop two empirical likelihood-based inference procedures for longitudinal data under the framework of quantile regression. The proposed methods avoid estimating the unknown error density function and the intra-subject correlation involved in the asymptotic covariance matrix of the quantile estimators. By appropriately smoothing the quantile score function, the empirical likelihood approach is shown to have a higher-order accuracy through the Bartlett correction. The proposed methods exhibit finite-sample advantages over the normal approximation-based and bootstrap methods in a simulation study and the analysis of a longitudinal ophthalmology data set.     

Treatment of incarcerated, sexually-abused adolescent females: an outcome study

This study examined the psychosocial functioning of 100 adolescent females (ages 12-17) sentenced to secure care in a southeastern state and the impact of gender-specific, cognitive-behavioral therapy (CBT) intervention on the psychosocial functioning of subjects who reported a history of sexual abuse. The Multidimensional Adolescent Assessment Scale (MAAS) was used to assess psychosocial functioning. Pre-test scores on the MAAS revealed significantly higher scores on 12 of 16 dimensions of psychosocial functioning and higher rates of serious criminal behavior for youth who subsequently disclosed sexual abuse histories as compared to those without such histories. At post-test, statistically significant improvements in psychosocial functioning were observed on 14 of 16 MAAS subscales for those who received the CBT intervention. Thus, incarcerated female adolescents who reported a history of sexual abuse demonstrated more impairment in their functioning as compared to those without a reported history of sexual abuse and responded positively to gender-specific, CBT-based intervention.     

Extreme Quantile Estimation for Autoregressive Models

ABSTRACT

A quantile autoregresive model is a useful extension of classical autoregresive models as it can capture the influences of conditioning variables on the location, scale, and shape of the response distribution. However, at the extreme tails, standard quantile autoregression estimator is often unstable due to data sparsity. In this article, assuming quantile autoregresive models, we develop a new estimator for extreme conditional quantiles of time series data based on extreme value theory. We build the connection between the second-order conditions for the autoregression coefficients and for the conditional quantile functions, and establish the asymptotic properties of the proposed estimator. The finite sample performance of the proposed method is illustrated through a simulation study and the analysis of U.S. retail gasoline price.     

Mums,Dummies and ‘Dirty Dids’: The Dummy as a Symbolic Representation of Mothering?

The bio medical expert literature, although contested, associates the use of dummies, soothers or pacifiers, with illness, dental malformation, impaired speech and language, and working‐class mothering. This article suggests this negative perspective has filtered, via experts and the media, into public narratives of ‘good’ mothering. Interviews with 20 disadvantaged mothers demonstrate the complex negotiations undertaken to integrate dummy use into their personal ‘good‐mothering’ narratives. Representing their hitherto ignored voices in the dummy debate allows a consideration of the context of, and influences on, dummy use. The article argues that rather than a symbol of inadequate working‐class mothering, dummy use is a complex, highly negotiated, situated mothering practice.     

Sibling Relationships and Social-emotional Adjustment in Different Family Contexts

The aims of this study were to examine family type (nonstep, stepfather, stepmother, and single mother) and sibling type (full‐ and half‐siblings) differences in sibling relationship quality (positivity and negativity), and to investigate links between sibling relationship quality and child externalizing and internalizing problems. The sample included 192 families with a 5‐year‐old target child and an older sibling. In addition, 80 of these families included a third older child. Mothers and the older siblings (8 years and older) completed questionnaires and interviews regarding conflict and support in their sibling relationships, and parents and teachers reported on each child's social‐emotional adjustment. Sibling negativity (conflict, aggression) was highest in single‐mother families and full‐siblings were more negative than half‐ and stepsiblings. There was some evidence that sibling antagonism was associated with more child behavioral and emotional problems, but these effects were moderated by family type.     

CORRECTING FOR MEASUREMENT ERROR IN AN EXPOSURE-RESPONSE RELATIONSHIP BASED ON DICHOTOMISING A CONTINUOUS DEPENDENT VARIABLE

Random error in a continuous outcome variable does not affect its regression on a predictor. However, when a continuous outcome variable is dichotomised, random measurement error results in a flatter exposure-response relationship with a higher intercept. Although this consequence is similar to the effect of misclassification in a binary outcome variable, it cannot be corrected using techniques appropriate for binary data. Conditional distributions of the measurements of the continuous outcome variable can be corrected if the reliability coefficient of the measurements can be estimated. An unbiased estimate of the exposure-response relationship is then easily calculated. This procedure is demonstrated using data on the relationship between smoking and the development of airway obstruction.