AGGREGATING EXPERT OPINION IN DECISION-MAKING

In using nominal groups for decision making, it is necessary to use some mechanical procedure for combining the evaluations. A simulation model is used to compare procedures for the case where a nominal group of m evaluators must select the best of n alternatives and where the evaluations are subject to random errors. Criteria are the probability of making a correct selection and the relative quality of the choice.     

Response surface methodology in quality improvement

Recent work has lead to development of robust parameter design which alleviates criticisms of the Taguchi approach. A dual response surface approach is discussed and illustrated.     

The widespread misinterpretation of p-values as error probabilities

The anonymous mixing of Fisherian (p-values) and Neyman–Pearsonian (α levels) ideas about testing, distilled in the customary but misleading p < α criterion of statistical significance, has led researchers in the social and management sciences (and elsewhere) to commonly misinterpret the p-value as a ‘data-adjusted’ Type I error rate. Evidence substantiating this claim is provided from a number of fronts, including comments by statisticians, articles judging the value of significance testing, textbooks, surveys of scholars, and the statistical reporting behaviours of applied researchers. That many investigators do not know the difference between p’s and α’s indicates much bewilderment over what those most ardently sought research outcomes—statistically significant results—means. Statisticians can play a leading role in clearing this confusion. A good starting point would be to abolish the p < α criterion of statistical significance.     

Local and omnibus goodness-of-fit tests in classical measurement error models

We consider functional measurement error models, i.e. models where covariates are measured with error and yet no distributional assumptions are made about the mismeasured variable. We propose and study a score-type local test and an orthogonal series-based, omnibus goodness-of-fit test in this context, where no likelihood function is available or calculated-i.e. all the tests are proposed in the semiparametric model framework. We demonstrate that our tests have optimality properties and computational advantages that are similar to those of the classical score tests in the parametric model framework. The test procedures are applicable to several semiparametric extensions of measurement error models, including when the measurement error distribution is estimated non-parametrically as well as for generalized partially linear models. The performance of the local score-type and omnibus goodness-of-fit tests is demonstrated through simulation studies and analysis of a nutrition data set.     

Imposing Views,Imposing Shoes: A Statistician as a Sole Model

Statisticians and teachers of statistics are thought to face formidable obstacles regarding image and being a role model. A funded controlled experiment indicates that such prejudice may indeed be valid.     

Polynomial Regression and Estimating Functions in the Presence of Multiplicative Measurement Error

We consider the polynomial regression model in the presence of multiplicative measurement error in the predictor. Two general methods are considered, with the methods differing in their assumptions about the distributions of the predictor and the measurement errors. Consistent parameter estimates and asymptotic standard errors are derived by using estimating equation theory. Diagnostics are presented for distinguishing additive and multiplicative measurement error. Data from a nutrition study are analysed by using the methods. The results from a simulation study are presented and the performances of the methods are compared.     

Not Threats,but Resources: An Investigation of How Leaders React to Employee Constructive Voice

This research aims to investigate whether or not leaders, one of the main recipients of employee voice, develop good relationships with those who speak up. Drawing on resource theory and social exchange theory, we contend that constructive voice provides both information and affect resources to the leader, which in turn promote a resource-based exchange relationship with the leader (i.e., leader–member exchange; LMX). We further propose that leaders with an originality cognitive style are more likely to capture the resource value of constructive voice, while leaders who closely follow rules might not view constructive voice in a positive way, thus affecting their LMX relationships with the focal employee. Through a two-wave field survey among 199 leader–follower dyads (Study 1) and a vignette-based experiment among 221 leaders (Study 2), we found that leaders, especially leaders who advocated high originality, developed high-quality LMX relationships with those who engaged in constructive voice due to their perceptions of affect but not information resource.     

A COST CENTER BASED RATE MODEL

The Surface Transportation Act of 1974 called for the Interstate Commerce Commission to “establish and maintain standards for determination of adequate rate levels.” The writer proposes a possible rate-making model based on a study made of Oklahoma distribution motor carriers that is readily adaptable to other forms of surface transportation.     

THE STRUCTURE OF EXECUTIVE INFORMATION SYSTEMS: AN EXPLORATORY ANALYSIS

This paper reports on a study which attempted to identify the structure of executive information systems and evaluate their relationship to decision making. The study centered on answering the question: “Where and how do senior executives get their decision-making information?” The data, provided by five senior executives, were gathered by a variety of means which included personal interviews, questionnaires, and logs of the executives' incoming-information transactions for a two-week period. Our findings support beliefs that senior executives receive much information from the environment, that informal systems play a role equal to that of formal systems, and that computers do not provide much information directly to an executive. The study also found that internal information is important and that preferred sources and media vary with different decision roles. The authors suggest that the scope of MIS and DSS be broadened to match those information networks managers actually rely on in daily practice.