The Gamma-count distribution in the analysis of experimental underdispersed data

Event counts are response variables with non-negative integer values representing the number of times that an event occurs within a fixed domain such as a time interval, a geographical area or a cell of a contingency table. Analysis of counts by Gaussian regression models ignores the discreteness, asymmetry and heteroscedasticity and is inefficient, providing unrealistic standard errors or possibly negative predictions of the expected number of events. The Poisson regression is the standard model for count data with underlying assumptions on the generating process which may be implausible in many applications. Statisticians have long recognized the limitation of imposing equidispersion under the Poisson regression model. A typical situation is when the conditional variance exceeds the conditional mean, in which case models allowing for overdispersion are routinely used. Less reported is the case of underdispersion with fewer modeling alternatives and assessments available in the literature. One of such alternatives, the Gamma-count model, is adopted here in the analysis of an agronomic experiment designed to investigate the effect of levels of defoliation on different phenological states upon the number of cotton bolls. Data set and code for analysis are available as online supplements. Results show improvements over the Poisson model and the semi-parametric quasi-Poisson model in capturing the observed variability in the data. Estimating rather than assuming the underlying variance process leads to important insights into the process.     

Delivery of Devolve Social Services: Its Contributions to the Socio-economic Conditions of Women in Columbio Sultan Kudarat

This is an evaluative study on the delivery of devolved programs in health, agriculture and social welfare. It aimed to identify the major devolved programs/projects implemented by the LGU of Columbio, Sultan Kudarat; the responsiveness of the actual delivery of devolve services in terms of human resources, facilities and fund allocation; the status of devolve services implemented if it was effective and efficient; and the inadequacies encountered. The “expose facto” method of research was used. There were 49 implementers and 132 beneficiaries of the various devolved programs. There were 181 total respondents. A four-part questionnaire was constructed and the gathered data were supplemented by information extracted through interviews with Key Informants, Focus Group Discussions and document analysis. There were three departments implementing the devolved social services programs such as the Municipal Health Office with 6 devolved health programs; the Municipal Agriculturist Office with 6 devolved agricultural projects; and the Municipal Social Welfare and Development Office with 7 devolved social welfare programs. The respondents rated the implementation of devolve services in health, agriculture and social welfare programs between rank 5 to 9 for the aspects of human resources, facilities and fund allocations. The respondents assessed the implementation of devolved programs as Very Efficient and Most Responsive programs to the needs of the people specially the children, youths and women. The study also found some inadequacies observed during the implementation of devolved social services programs which were Agreed by the majority of the respondents. These findings implied that the implementation of various devolved social services for several years has made a significant difference in the lives of the people of the Municipality of Columbio, Sultan Kudarat, the Local Government of Columbio and program implementers with their commitment and solidarity to serve the people especially the marginalized is a manifestation of their unselfish dedication to uplift the socio-economic condition and well-being of the people. Hence, continuing projects should further be strengthened and supported to ensure the sustainability of the projects even if the support of different institutions has been terminated.     

Making quality a fundamental part of strategy

All that is known about strategy and strategic planning indicates that quality is a major factor in gaining competitive advantage. It is cost effective, profitable, promotes corporate longevity and builds an important company value system. The authors argue that is too important a factor to be left solely to quality control personnel or planners and is a fundamental part of the chief executive's responsibility for the development of strategy.     

A special section for correspondence and controversy

With thanks in this issue to Joel E. Cohen of Rockefeller University, who agreed to the reprinting of his book review and suggested publishing the response it inspired; also to Victor R. Fuchs of the National Bureau of Economic Research, Inc., Paul A. Samuelson of MIT, and Michael S. Teitelbaum of the Alfred P. Sloan Foundation who consented to the publication of their correspondence. ED.Review of The Birth Dearth: What Happens When People in Democratic Countries Don't Have Enough Babies?Ben Wattenberg. New York: Pharos Books, 1987. Reprinted with permission from theWall Street Journal, August 6, 1987.     

The production of criminological experiments

This article examines the production of crime and justice field experiments during the 1990s. Data were collected on the characteristics of criminological experiments funded by the National Institute of Justice (NIJ), the principal research agency of the U.S. Department of Justice, during the 10-year period from 1991 through 2000. The analyses find that, whereas the funds available for research and evaluation at the NIJ increased during this period, the number of projects and the amount of funds awarded supporting field experiments declined. The article describes the characteristics of the experiments funded and assesses the extent to which the reduced support can be attributed to the characteristics of NIJ research funding, research topics, researchers, or criminal justice operational agencies.     

Prize Proliferation1

Recent decades have been characterized by growing numbers of awards, prizes, and honors distributed by a wide range of social worlds—prize proliferation. This article examines how claims for—and counterclaims against—establishing prizes lead to more awards being given. Unlike most constructionist analyses that explore how centralized claims‐making campaigns construct social problems, this study of prize proliferation illustrates how localized, independent social worlds can become arenas for claims, and how such largely unrelated efforts can shape broad social trends.     

IMPLICATION ANALYSIS: A PRAGMATIC PROPOSAL FOR LINKING THEORY AND DATA IN THE SOCIAL SCIENCES

Sociology and other social sciences struggle to emulate a model of scientific evidence that is often inappropriate. Not only do social researchers encounter special limits, but they are also handicapped by a distorted and idealized picture of practices in the "hard sciences." Ironically, while often obliged to use data of lower quality, sociology employs standards for evaluating a theory that are not attained in the hard sciences. After a brief review of these obstacles, we describe a set of procedures for using empirical data to rigorously evaluate theories and hypotheses without resorting to the mimicking of hard science. The interaction between theory and evidence normally involves deriving implications from the theory (usually referred to as hypotheses) and then ascertaining how closely the empirical evidence meets these implications. The appropriateness of the implications is a key factor in the entire operation, linking as they do the data and the theory. The evaluation of a theory is no better than the theory's implications (as generated by the investigator) coupled with the quality and appropriateness of the evidence. It is our impression, however, that because this step is insufficiently addressed, there are unnecessary problems in the evaluation of theories. We use the term "Implication Analysis" to describe our efforts to review and improve current procedures.     

Method in the Madness: The Strategic Uses of Absurdity and the Unexpected in Psychotherapy

This article explores some of the uses of absurdity and the unexpected in psychotherapy. Case examples are used to ground the discussion of some key ideas that inform an understanding of how absurdity and the unexpected might serve as catalysts or primers for change in the psychotherapeutic context. Erickson's confusion technique and some ideas derived from Bateson's understanding of cybernetics also serve an explanatory purpose.     

Assessment of Cigarette Smoking and Smoking Susceptibility among Youth: Telephone Computer-Assisted Self-Interviews versus Computer-Assisted Telephone Interviews

This experimental study assesses the effect of two survey methods,telephone audio computer-assisted self-interviewing (T-ACASI)and computer-assisted telephone interviewing (CATI), on self-reportsof smoking behavior and smoking susceptibility among adolescents12–17 years of age in California. In T-ACASI, participantslisten to prerecorded, computer-controlled questions and respondby pressing the keypad on a touch-tone telephone. In CATI, interviewersadminister the questions and enter responses into a computer.Prior research suggests that youth may be more likely to reportsensitive behaviors in a self-administered survey like T-ACASIcompared to an interviewer-administered survey like CATI, dueto greater perceived confidentiality. Logistic regression analyseswere conducted on unweighted data, controlling for demographicdifferences. Adjusted estimates of current smoking (past 30days) were significantly greater in T-ACASI (8.3 percent) thanCATI (4.5 percent). Smoking susceptibility (i.e., lack of afirm commitment not to smoke among those who have never smoked)was also greater in T-ACASI (45.0 percent) than CATI (34.9 percent).In both surveys, social desirability response bias was negativelyassociated with smoking, which suggests that response bias wasproblematic for both modes. Many respondents reported that aparent was present during the interview (59.4 percent in CATI;42.0 percent in T-ACASI). In both surveys, parental presencewas negatively associated with smoking, which suggests thatthis factor could also contribute to underreporting. Applicationof sample weights to the data eliminated the survey mode effects;however, the CATI current smoking estimate (9.3 percent) fromthis study was significantly less than an estimate (14.2 percent)obtained from a self-administered, school-based survey conductedthe same year on California adolescents.