Seeding Science,Courting Conclusions: Reexamining the Intersection of Science,Corporate Cash,and the Law

Social scientists have expressed strong views on corporate influences over science, but most attention has been devoted to broad, Black/White arguments, rather than to actual mechanisms of influence. This paper summarizes an experience where involvement in a lawsuit led to the discovery of an unexpected mechanism: A large corporation facing a multibillion-dollar court judgment quietly provided generous funding to well-known scientists (including at least one Nobel prize winner) who would submit articles to open, peer-reviewed journals, so that their unbiased science could be cited in an appeal to the Supreme Court. On balance, the corporations most effective techniques of influence may have been provided not by overt pressure, but by encouraging scientists to continue thinking of themselves as independent and impartial.This is a revised version of a paper presented at the annual meeting of the American Sociological Association, Atlanta, GA, August 2003.     

Conceptual and Methodological Issues in Treatment Outcome Research

Few studies have evaluated the comparative efficacy, effectiveness and mode of action of specific treatment interventions, or developed evidence-based best-practice management guidelines for the treatment of problem gambling. While individual and multi-modal programmes demonstrate positive results, systematic well-designed randomised controlled studies incorporating follow-up blind assessments and standardised diagnostic and outcome measures are needed to establish long-term outcomes.     

Late Life Gambling: The Attitudes and Behaviors of Older Adults

For a significant number of retired older adults (aged 65+), gambling has become a new form of recreation and entertainment. While prevalence studies have examined the incidence of problem gambling in other age groups, little research attention has been paid to the impact of gambling on older adults since the increase in availability and accessibility of legalized gambling within the last ten years. This study investigated the prevalence of problem gambling behaviors (SOGS-R), depression (GDS-15), levels of life satisfaction (SWLS), and motivations for gambling among older adults. A total of 315 older adults completed the study questionnaire and were grouped and analyzed according to those sampled from gambling venues and those from within the community. Results of the study found the most frequent accession and spending on several types of gambling occurred among older adults who were sampled at gambling venues. Older adults who were sampled at gambling venues were also found more likely to have higher levels of disordered gambling than older adults from the community, as measured by the SOGS-R. Relaxation, boredom, passing time, and getting away for the day were also the most likely reported motivations for the older adults who were gamblingpatrons. These findings provide an initial profile of older adults and their attitudes, motivations and gambling behaviors.     

New ideas and fertility limitation: The role of mass media

This article investigates the mass media as a social change that shapes individual behavior primarily via ideational mechanisms. We construct a theoretical framework drawing on social demography and social psychology to explain how mass media may affect behavior via attitudinal change. Empirical analyses of 1,091 couples in the Chitwan Valley Family Study, using detailed measures of social change from rural Nepal, show that exposure to the mass media is related to childbearing behavior, and to preferences for smaller families, weaker son preferences, and tolerance of contraceptive use. This result should motivate greater research attention to the influence of changing ideas on behavioral changes, particularly in the study of families.     

An abused child grows up and enters treatment

This article explores the dynamics which can occur in abused children by focusing on the long term treatment of a young woman who was physically, sexually, and emotionally abused as a child. Particular emphasis is placed on the understanding and management of the highly charged transference and countertransference which ensued.     

Uncertainty in Measurements of Dermal Absorption of Pesticides

Dermal absorption experiments form an important component in the assessment of risk from exposure to pesticides and other substances. Much dermal absorption data is gathered in rat experiments carried out using a certain standard protocol. Uncertainties in these data arise from many sources and can be quite large. For example, measurements of the systemic absorption of hexaconazole differed by more than an order of magnitude within a single experiment. Two diniconazole studies produced quite different results, due to minor differences in protocol and in chemical formulation. Limits of detection can also prevent accurate measurement when the amounts absorbed are small. These examples illustrate the need for measuring and reporting uncertainties in estimates that are based on these data. The most direct way to estimate uncertainty is to compute the sample standard deviations of replicate measurements. By pooling these estimates across dose and duration groups for which they are similar, the number of degrees of freedom is increased, and more precise confidence intervals can be obtained. In particular, the ratio of upper to lower 95% confidence limits was reduced by as much as ten-fold for hexaconazole, seven-fold for uniconazole, and nearly four-fold for propiconazole.     

Healthy Days,Health Satisfaction and Satisfaction with the Overall Quality of Life

In this note we report results of 6 surveysusing the United States Centers for DiseaseControl and Prevention indicators of healthstatus, taken from the Behavioral Risk FactorSurveillance System. Generally speaking, wefound that the CDC healthy days variables couldplay a useful role in survey research aimed atassessing the impact of measured health statuson people's satisfaction with their own healthand with the overall quality of their lives.More precisely, using stepwise regressions wefound: (1) The three healthy days variablesexplained from 16 to 27 percent of the variancein General Health scores. The limited activitydays variable remained as a significantpredictor in only one of the six regressionsand the not good physical health days variablewas most influential in every sample. (2) Thethree healthy days variables explained from 19to 32 percent of the variance in healthsatisfaction scores, and the not good physicalhealth days variable was again most influentialin every sample. (3) The three healthy daysvariables explained from 12 to 39 percent ofthe variance in quality-of-life satisfactionscores, with the not good mental healthvariable most influential in every sample. (4)The four CDC variables together explained from40 to 55 percent of the variance in healthsatisfaction scores, with the General Healthvariable always dominating the set ofpredictors by a fairly wide margin. (5) Thefour CDC variables together explained from 17to 28 percent of the variance inquality-of-life satisfaction scores, with theGeneral Health variable most influential inthree samples and the not good mental healthvariable most influential in the other three.(6) When the four CDC variables plus the healthsatisfaction variable were used as potentialpredictors, we were able to explain from 29 to40 percent of the variance in quality-of-lifesatisfaction scores. In every sample, theGeneral Health and limited activity daysvariables had no significant impact. (7) Usingstructural equation modeling, we found GeneralHealth does not have a direct effect onsatisfaction with the overall quality of lifebut rather only an indirect effect throughhealth satisfaction. The General Health, notgood physical health, and not good mentalhealth days variables account for 51% of thevariation in health satisfaction, and healthsatisfaction, not good physical health and notgood mental health days variables account for30% of the variation in satisfaction with theoverall quality of life.     

Getting Clear About the "Sign Rule"

The question of the "validity" of the "sign-rule" has been a source of continuing disagreement among sociologists. Some of the confusion surrounding this question can be dispelled by focusing on the problem of providing satisfactory interpretations for calculi constructed to represent various commentators' versions of acceptable "sign-rule" arguments. It is shown that the formulae of a calculus constructed to represent standard sign rule arguments must be interpreted in terms of propositions asserting that rankings of objects in virtue of one property are identical to rankings in virtue of another property. A system constructed on the basis of "the assumption of high correlations" is shown to involve distinctions between the logical forms of the premises and the conclusions of key arguments. This sharply limits the deductive power of this system. A third system, constructed on the basis of the "causal modeling" view of the sign rule, is shown to require an interpretation which renders the procedure irrelevant to the construction and testing of general theories.