TRUCE for advocacy and peer education in tobacco prevention

In response to aggressive marketing of tobacco to college students, Florida's legislature allocated multi-settlement agreement dollars to fund tobacco prevention programming at state institutions of higher learning. The Student Tobacco Reform Initiative: Knowledge for Eternity (STRIKE) was one such program. Its purpose was to increase awareness and support college student advocacy for prevention. In this program note, we introduce Targeting, Resource Identification, and Unification for College Peer Education (TRUCE), the strategy used to facilitate implementation of STRIKE tobacco prevention programming by student advocates at a metropolitan university campus.     

An Iterative Choice Approach to Valuing Clean Lakes,Rivers, and Streams

This article introduces an iterative choice procedure for valuing inland water quality. This approach breaks up the valuation into a series of component tasks. The water quality ladder approach is not valid empirically. Consequently, respondents in Colorado and North Carolina assessed the value of making water quality rated good by EPA, which has a value of $22.40 per additional percent improvement. Nonuse and probabilistic use are highly valued. The results also indicate how water quality valuations differ for aquatic environment, edible fish, and swimming, as well as for water that is cloudy, smelly, or polluted by toxics. Minorities are particularly likely to rely upon monitorable water quality attributes.     

Meaningful work at a distance: A case study in a hospital

Having a positive impact on other people's lives typically increases the likelihood of regarding one's work as meaningful. In some settings, however, employees have little or no contact to those who experience the impact of their work. Our paper examines how such distance affects these employees' construction of their work as meaningful. We present the findings of an in-depth case study of medical laboratory workers who do not typically interact with their patients. Drawing on interviews and observational data, we identify three sensemaking practices through which employees overcome the physical and perceived psychological distance to patients: assembling various pieces of information about the patient, sharing patient-related stories with colleagues, and relating themselves to patients and their medical problems. We also find that overcoming distance to patients can result in emotional stress, which is why some employees prefer staying at a ‘safe’ psychological distance. Our paper contributes to the meaningful work literature by examining how actors make work meaningful when they are physically distant from their object of work. We also contribute to a critical understanding of meaningful work by showing how efforts to render one's work more meaningful can intensify stress and emotional tension.     

Does Weighting Capture What’s Important? Revisiting Subjective Importance Weighting with a Quality of Life Measure

The present study evaluated subjective importance weighting using data collected with the Injection Drug User Quality of Life Scale (IDUQOL). Weighted and unweighted IDUQOL scores from 241 adults were correlated with convergent, discriminant, and criterion measures. Regression analysis was used to examine the contribution of importance ratings to scores on a global measure of life satisfaction and the corrected weighted IDUQOL total scores. Overall, the results showed that weighted scores did not perform better than unweighted scores in measuring quality of life. However, the mean satisfaction ratings for important domains correlated significantly higher with convergent measures than did the mean satisfaction ratings for unimportant domains. This finding suggests further attention needs to be paid to the meaning and measurement of subjective importance and how it may be incorporated more effectively into measures of quality of life.     

Testing the Validity of the Sibling Sex Ratio Instrument

We test the validity of the sibling sex ratio instrument suggested by Angrist and Evans using the methods proposed by Kitagawa and Huber and Mellace. The sex ratio of the first two siblings is arguably randomly assigned and influences the probability of having a third child, which makes it a candidate instrument for fertility when estimating the effect of fertility on female labor supply. However, identification hinges on the random assignment of the instrument, an instrumental exclusion restriction, and the monotonicity of fertility in the instrument. We find that the instrumental variable tests of Kitagawa and Huber and Mellace do not point to a violation of these assumptions in the Angrist and Evans data (which can, however, not be ruled out even asymptotically as the tests cannot detect all possible violations).     

Communication of ambiguous risk information

This paper reports on the responses of 646 individuals to environmental risk information involving different forms of risk ambiguity. Recipients of more than one set of risk information do not simply average the risk levels provided. Rather, a variety of aspects of the nature of the risks that are communicated influence their probabilistic beliefs. Individuals' perceptions of the risk levels to which they are exposed are likely to be greater: (i) for more ambiguous risks, (ii) for risks for which the unfavorable risk evidence is presented last even when there is no temporal order, (iii) for risks for which the most unfavorable risk studies have been performed most recently, and (iv) for risks where there is asymmetry in the risk ambiguity that imposes substantial potential downside risks. Although these effects are modest for the median individual, the potential for extreme responses that reflect only the most adverse or the most favorable piece of information provided is quite prevalent. These findings are of interest more generally in that they indicate how individuals form their risk perceptions in the presence of risk ambiguity.The authors would like to thank the U.S. Environmental Protection Agency for support of this work under Cooperative Agreements Number CR-815445-01-2 and Number CR-814388-02-1. Dr. Alan Carlin and Dr. Ann Fisher provided valuable guidance in the design of the project, and Dr. Doyle Graham and Dr. Douglas Anthony offered generous assistance in communicating the medical consequences of nerve disease to subjects. Jon LaScala assisted superbly in the administration and analysis of the survey, and Patricia Born provided additional computer programming assistance.     

Computer assistance for testing hypotheses about qualitative data: The software package AQUAD 3.0

The analysis of qualitative data seems to be inevitably bound to tedious and time-consuming mechanical work, especially if we proceed to more complex analytical procedures like testing hypotheses. In this article we describe the general tasks of qualitative analysis, i.e., reducing data, structuring findings, and drawing conclusions. Then we outline, referring to the software package AQUAD 3.0, how software facilitates the work of qualitative researchers. By describing a practical application of this software, basic features of computer assistance to hypotheses testing are explained.     

Revising a Prognostic Index Developed for Classification Purposes: an Application to Gastric Cancer Data

A prognostic index (PI) is usually derived from a regression model as a weighted mean of the covariates, with weights (partial scores) proportional to the parameter estimates. When a PI is applied to patients other than those considered for its development, the issue of assessing its validity on the new case series is crucial. For this purpose, Van Houwelingen (2000) proposed a method of validation by calibration, which limits overfitting by embedding the original model into a new one, so that only a few parameters will have to be estimated. Here we address the problem of PI validation and revision with the above approach when the PI has classification purposes and it represents the linear predictor of a Weibull model, derived from an accelerated failure time parameterization instead of a proportional hazards one, as originally described by Van Houwelingen. We show that the Van Houwelingen method can be applied in a straightforward manner, provided that the parameterization originally used in the PI model is appropriately taken into account. We also show that model validation and revision can be carried out by modifying the cut-off values used for prognostic grouping without affecting the partial scores of the original PI. This procedure can be applied to simplify the clinician's use of an established PI for classification purposes.