Multi-attribute utility methods in group decision making: Past applications and potential for inclusion in GDSS

This paper reviews a variety of studies in which multi-attribute utility theory (MAU) has been used successfully to aid group decision processes and discusses the incorporation of MAU in Group Decision Support Systems (GDSS). GDSS of various levels of automation have been proposed to aid group decision making. A number of commercial GDSSs are available which are capable of aiding generation of alternatives, their evaluation, and selection. Many authors have promoted the incorporation of quantitative decision making models in GDSS. The most appropriate quantitative tool for GDSS is MAU, but MAU has rarely been utilized. The cases reviewed illustrate that the use of MAU techniques is not prohibitively difficult or complex.     

Mothers' and Fathers' Use of Internal State Talk with their Young Children

The present study extends previous results demonstrating a relation between maternal discourse and child social understanding to include paternal discourse. Emotion understanding (EU) and theory of mind (ToM) were considered as two distinctive aspects of social understanding. Participants were 106 children (54 boys and 52 girls) studied at 3.5 and 5 years. Discourse measures came from separate parent–child conversations during a picture‐book task; measures of EU and ToM came from children's performance on social cognition tasks. Differences in parental talk translated into important differences in the influence of each parent on children's social‐cognitive understanding. Mothers' references to emotion and emotion causal explanatory language predicted children's concurrent EU. Fathers' use of causal explanatory language referring to desires and emotions predicted children's concurrent and later ToM. These results highlight important differences between mothers and fathers in their use of internal state language and its impact on children's social‐cognitive understanding.     

Conservative linear programming with mixed multiple objectives

In an ordinary linear program a single objective vector is constructed and one attempts to choose a decision vector to optimize this objective. Often multiple criteria exist or exact estimates for the components of a single objective vector are not entirely clear. For these cases a conservative decision-maker may want to choose an alternative that maximizes the objective value under the worst foreseeable circumstances. Herein we develop a unified framework for applying the maximin criterion to problems with various degrees of uncertainty attached to the objective vector. Three cases are solved via linear programming: (1) Complete Information, (2) Partial Information, and (3) Total Ignorance. It is shown that the functional value of the maximin solution decreases in a convex manner with increasing uncertainty. In addition certain relationships between maximin and efficient solutions are provided. Finally, an extension to integer constrained decision variables is presented.     

Assessing Intimacy: The Pair Inventory*

PAIR, acronym for Personal Assessment of Intimacy in Relationships, was developed as a tool for educators, researchers and therapists. PAIR provides systematic information on five types of intimacy: emotional, social, sexual, intellectual and recreational. Individuals, married or unmarried, describe their relationship in terms of how they currently perceive it (perceived) and how they would like it to be (expected). PAIR can be used with couples in marital therapy and enrichment groups.     

Fossil fuel supplies simulation 1972–1979

Fossil fuels are an important source of energy for Ontario Hydro and purchases exceed $100 million per year. This paper describes a computer simulation of the inventory situation over an eight-year period, which is being used to assess the relationship between order flexibility and the target carry-over stocks at the beginning of each shipping season. A simple way of presenting the results for management evaluation is illustrated. Variations of the model are used to assess random influences, such as strikes, and to determine the economic balance between holding costs and stock-outs.     

Working With LGBT Baby Boomers and Older Adults: Factors That Signal a Welcoming Service Environment

Many providers recognize the importance of creating culturally competent services for lesbian, gay, bisexual, and transgender (LGBT) older adults. Although multiple resources list steps to make professional practices more LGBT-welcoming, these resources provide no empirical data to support their recommendations. LGBT older adults (N = 327) were asked to describe what signals that a provider is LGBT-welcoming. Six of the top 10 signals related to provider behavior and suggest the importance of staff training; the balance included display of signage and rainbow flags, use of inclusive language on forms and the presence of LGBT-identified staff. Results provide evidence-based recommendations for working with LGBT older adults.     

Eliminating the U.S. drug lag: Implications for drug safety

An increase in new drugs first launched in the U.S. and shorter lags between first global drug launch and U.S. approval indicate that the U.S. drug lag has declined. This paper examines the impact of these changes on drug safety using adverse drug reaction data for FDA-approved drugs in 1990 to 2004. Results show two different effects. First, drugs having longer U.S. launch lags (more foreign market experience) have fewer post approval drug risks compared to drugs with shorter launch lags. This result implies that foreign market experience prior to U.S. entry provides information to help alleviate drug-related risks for U.S. patients. Second, drugs that are first launched in the U.S. have fewer serious drug reactions compared to those that were first launched abroad. This result is surprising, and may suggest that first U.S. drug launch signals information about unobserved application quality, which translates into lower post approval drug risks.     

PREDICTING MARITAL SUCCESS WITH PREPARE: A PREDICTIVE VALIDITY STUDY

In order to determine the predictive validity of the premarital inventory PREPARE, this study assessed the utility of PREPARE inpredicting marital success. A 3-year follow-up study was conducted with 164 couples who took PREPARE during their engagement. As hypothesized, it was found that satisfied couples scored significantly higher on the inventory than dissatisfied couples, divorced couples, and couples who cancelled their marriage. It was also hypothesized and found that dissatisfied married couples did not differ significantly from couples who cancelled their marriage or those who divorced. Using discriminant analysis, it was found that the PREPARE scores from 3 months before marriage could predict with 80–90% accuracy which couples were separated and divorced from those that were happily married. These findings not only demonstrate the predictive validity of PREPARE, but its potential utility in identifying high-risk couples who could benefit from more intensive premarital counseling.