Muir,Roosevelt, and Yosemite National Park as an Emergent Sacred Symbol: An Interaction Ritual Analysis of a Camping Trip

We argue that interaction ritual (IR) theory provides a temporal and interactional point of origin from which to trace an influential IR chain that became a deciding factor in the unification of Yosemite Valley and the Mariposa Grove under federal control within present‐day Yosemite National Park. The emotions generated by the rituals of Roosevelt's and Muir's camping trip in May, 1903 in the short term, however, failed to result in a lasting consensus on ideology. This is a point that Roosevelt's lack of support for Muir in the subsequent controversy over the damming of the Hetch Hetchy Valley clearly documents. A video abstract is available at http://tinyurl.com/myv74yd     

Korean residents in Japan during the second world war: Official reports on rumours and public feeling

The article identifies some of the ways in which the ‘Victorian Gypsy’ was constructed by a group of authors known as Gypsy lorists, and develops reading strategies that highlight the politics of their writing, in particular using Jacques Derrida's theorisation of the archive. For the Victorians, it seemed that the Gypsy way of life would soon die out. The Gypsies' apparently imminent disappearance marks their world as delicate, natural and formerly pure. However, the structure of the archive means that the lorists' attempts to preserve their version of Gypsy culture are threatened from within: they hasten the forgetting of that which they would conserve and archivally silence Gypsy voices with their own. Claims of extinction have evidently been disproved, however, and new archives successfully augment what the lorists considered to be the last word on Gypsies in Britain.     

Additive time-dependent hazard model with doubly truncated data

For doubly truncated data, i.e. the variables of interest are only observable if they lie in a certain random interval, an additive hazard model with time-dependent regression coefficients is investigated. Consistency and asymptotic normality are proven under mild assumptions. A simulation study investigates the finite sample properties and the influence of the truncation distribution on the estimation error. Finally, the method is applied to a doubly truncated data set of German companies, where the age at insolvency is of interest.     

Correlates of the Randolph Attachment Disorder Questionnaire (RADQ) in a Sample of Children in Foster Placement

This study examined mental health and attachment problems in children in foster care. This study also obtained data concerning the validity of the Randolph Attachment Disorder Questionnaire (RADQ). Children were selected according to length of time in placement and age and screened for mental health symptoms using the Child Behavior Checklist and the RADQ. The findings showed that children in foster care have reported symptoms within the range typical of children not involved in foster care. The conclusion is that the RADQ has limited usefulness due to its lack of specificity with implications for treatment of children in foster care.     

IRR computation and the multi-asset problem

The IRR model for individual assets has been the target of serious criticism over the years. The purpose of this paper is to provide a partial rationale for interpreting aggregate firm data based on IRR calculations of individual assets. More specifically, it will be argued that the value of accounting information will be enhanced as a result of depreciation and income recognition schedules being determined by an individual asset's IRR model.     

A first look at the need for enhanced support services for kinship caregivers

This article describes findings from a series of focus groups conducted with formal kinship caregivers in Maryland. The findings reveal that kinship caregivers are committed to providing safety and stability for the children placed with them. The findings also suggest that caregiving can be a significant adjustment for many kinship caregivers and that expanded support services are needed to enhance their relationship with the child welfare agency.     

A joint-modeling approach to assess the impact of biomarker variability on the risk of developing clinical outcome

In some clinical trials and epidemiologic studies, investigators are interested in knowing whether the variability of a biomarker is independently predictive of clinical outcomes. This question is often addressed via a naïve approach where a sample-based estimate (e.g., standard deviation) is calculated as a surrogate for the “true” variability and then used in regression models as a covariate assumed to be free of measurement error. However, it is well known that the measurement error in covariates causes underestimation of the true association. The issue of underestimation can be substantial when the precision is low because of limited number of measures per subject. The joint analysis of survival data and longitudinal data enables one to account for the measurement error in longitudinal data and has received substantial attention in recent years. In this paper we propose a joint model to assess the predictive effect of biomarker variability. The joint model consists of two linked sub-models, a linear mixed model with patient-specific variance for longitudinal data and a full parametric Weibull distribution for survival data, and the association between two models is induced by a latent Gaussian process. Parameters in the joint model are estimated under Bayesian framework and implemented using Markov chain Monte Carlo (MCMC) methods with WinBUGS software. The method is illustrated in the Ocular Hypertension Treatment Study to assess whether the variability of intraocular pressure is an independent risk of primary open-angle glaucoma. The performance of the method is also assessed by simulation studies.