Developing a Broadly Applicable Measure of Risk Perception

Decades of research identify risk perception as a largely intuitive and affective construct, in contrast to the more deliberative assessments of probability and consequences that form the foundation of risk assessment. However, a review of the literature reveals that many of the risk perception measures employed in survey research with human subjects are either generic in nature, not capturing any particular affective, probabilistic, or consequential dimension of risk; or focused solely on judgments of probability. The goal of this research was to assess a multidimensional measure of risk perception across multiple hazards to identify a measure that will be broadly useful for assessing perceived risk moving forward. Our results support the idea of risk perception being multidimensional, but largely a function of individual affective reactions to the hazard. We also find that our measure of risk perception holds across multiple types of hazards, ranging from those that are behavioral in nature (e.g., health and safety behaviors), to those that are technological (e.g., pollution), or natural (e.g., extreme weather). We suggest that a general, unidimensional measure of risk may accurately capture one's perception of the severity of the consequences, and the discrete emotions that are felt in response to those potential consequences. However, such a measure is not likely to capture the perceived probability of experiencing the outcomes, nor will it be as useful at understanding one's motivation to take mitigation action.     

The analysis of incomplete data using stochastic covariates

In the development of many diseases there are often associated random variables which continuously reflect the progress of a subject towards the final expression of the disease (failure). At any given time these processes, which we call stochastic covariates, may provide information about the current hazard and the remaining time to failure. Likewise, in situations when the specific times of key prior events are not known, such as the time of onset of an occult tumour or the time of infection with HIV-1, it may be possible to identify a stochastic covariate which reveals, indirectly, when the event of interest occurred. The analysis of carcinogenicity trials which involve occult tumours is usually based on the time of death or sacrifice and an indicator of tumour presence for each animal in the experiment. However, the size of an occult tumour observed at the endpoint represents data concerning tumour development which may convey additional information concerning both the tumour incidence rate and the rate of death to which tumour-bearing animals are subject. We develop a stochastic model for tumour growth and suggest different ways in which the effect of this growth on the hazard of failure might be modelled. Using a combined model for tumour growth and additive competing risks of death, we show that if this tumour size information is used, assumptions concerning tumour lethality, the context of observation or multiple sacrifice times are no longer necessary in order to estimate the tumour incidence rate. Parametric estimation based on the method of maximum likelihood is outlined and is applied to simulated data from the combined model. The results of this limited study confirm that use of the stochastic covariate tumour size results in more precise estimation of the incidence rate for occult tumours.     

Becoming the Family Archivist

The author describes some of the ways in which conventional amateur family histories fail to portray the emotional realities of family life. Recent trends in biography and autobiography are explored briefly, and the possibility of a family history informed by systemic as well as psychoanalytic insights is considered. The author's own work, A Family in Time, attempts such a history. The author outlines his sources of information, both documentary and oral, and the special challenges posed by their interpretation. The decisions governing the ordering and selection of data for publication are explored, the author's aim being to present the facts in such a way that a systemic conception of family process over time will be implicit in the material. Implications for the author, for the family itself, and for therapists working with intergenerational process are briefly considered.     

Training with o (observing) and T (treatment) teams in live supervision: reflections in the looking glass*

Working with a treatment and observing team at the same time, behind the oneway mirror, offers a variety of ways to: (a) generate multiple realities; (b) work with two different models of family therapy simultaneously; and (c) provide feedback on the teams' own roles, rules and group process. The process that 6 trainees and two supervisors used with T and O teams to examine their own coevolution as a therapeutic system using the Milan model of family therapy and Ericksonian hypnotherapy is described. The article concludes with a discussion of the advantages and pitfalls of this type of dual supervision.     

Health education evaluation and beliefs and practices in rural Tamil Nadu

This paper reports the findings of 2 studies in North Arcot District of Tamil Nadu, one of which was an evaluation of health education programs. A wide range of information is made available on the local Tamil names for allopathic diseases, their etiology, beliefs related to preventive and curative practices, significance and medical consequences of recourse to doctors and practitioners of indigenous systems of medicine. The attitude survey covers a variety of topics about which not much is known -- immunization, sanitation, environment, antenatal care and allopathic medicine. The data suggest that allopathic treatment is preferred for most diseases, although traditional or spiritual methods continue to be used for certain diseases, many of which are believed to be the cause of infant and child mortality.     

Viewing the child as a participant within context

This paper explores tensions between the social nature of learning and the current emphasis upon individual support. The paper contrasts the focus upon context in discussions with parents and practitioners, with the focus upon the individual within formal and informal written documents. The analysis is partly situated within the first author’s experiences as a parent researcher, drawing additionally upon ethnographic research carried out with families involved in early intervention, including an evaluation of over 150 pages of documentation provided by a parent. It identifies the need for assessment and evaluation to focus upon and record the broad range of context that influences learning.     

Methods to assess measurement error in questionnaires of sedentary behavior

Sedentary behavior has already been associated with mortality, cardiovascular disease, and cancer. Questionnaires are an affordable tool for measuring sedentary behavior in large epidemiological studies. Here, we introduce and evaluate two statistical methods for quantifying measurement error in questionnaires. Accurate estimates are needed for assessing questionnaire quality. The two methods would be applied to validation studies that measure a sedentary behavior by both questionnaire and accelerometer on multiple days. The first method fits a reduced model by assuming the accelerometer is without error, while the second method fits a more complete model that allows both measures to have error. Because accelerometers tend to be highly accurate, we show that ignoring the accelerometer's measurement error, can result in more accurate estimates of measurement error in some scenarios. In this article, we derive asymptotic approximations for the mean-squared error of the estimated parameters from both methods, evaluate their dependence on study design and behavior characteristics, and offer an R package so investigators can make an informed choice between the two methods. We demonstrate the difference between the two methods in a recent validation study comparing previous day recalls to an accelerometer-based ActivPal.