The structural organization and micropolitics of everyday secret telling interactions

The interactions that typically precede and follow explicit secrets display a structural organization of sequentially ordered items that form the vehicle for micropolitical processes of reality construction, selectivity and coalition making. Our data showed a preference for secret receivers to accept the frame, construction, political formulation, bonding, and coalitions of explicit secrets. The teller can define information as exclusive, select the secret recipient, specify the exclusivity rules, and infuse the information with political vectors. After the secret is told the power shifts to the receiver who can then sanction the teller for divulging a confidence, and/or choose to break the explicit and implicit rules and alliance of the preference system that organizes secret telling.     

The impact of the family on diabetes adjustment: A developmental perspective

This study investigated how pubertal development may influence the relation between aspects of the family environment and diabetes adjustment. Subjects were 49 youngsters with newly diagnosed insulin-dependent diabetes mellitus (IDDM) and their parents. Pearson correlations between aspects of the family environment and diabetes adjustment revealed many significant findings for the total sample and separately by pubertal development. Tests of differences between these correlations revealed support for our hypotheses in expected directions. These results suggest the adoption of a developmental perspective when considering how family life is related to a youngster's diabetes adjustment.     

Maximum-likelihood estimation for constrained- or missing-data models

In statistical models involving constrained or missing data, likelihoods containing integrals emerge. In the case of both constrained and missing data, the result is a ratio of integrals, which for multivariate data may defy exact or approximate analytic expression. Seeking maximum-likelihood estimates in such settings, we propose Monte Carlo approximants for these integrals, and subsequently maximize the resulting approximate likelihood. Iteration of this strategy expedites the maximization, while the Gibbs sampler is useful for the required Monte Carlo generation. As a result, we handle a class of models broader than the customary EM setting without using an EM-type algorithm. Implementation of the methodology is illustrated in two numerical examples.     

Accounting for plasma levels below detection limits in a one-compartment zero-order absorption pharmacokinetics model

We provide a simple method for fitting a one-compartment, zero-order absorption pharmacokinetics model in the presence of observations below the detection limit. This method may be extended to more complex pharmacokinetics models. We demonstrate, using a small simulation study, that the method provides accurate parameter estimates over a range of detection limits and we compare it to an ad hoc midpoint method. An applied example is provided from a pharmacokinetic investigation of a nicotine nasal spray.     

Conservation technology adoption decisions and the theory of planned behavior

This study of water saving technology adoption and technology investment behavior for Florida strawberry farmers represents an application of the Theory of Planned Behavior. It is compared with the Theory of Reasoned Action, and the Theory of Derived Demand. The focus is on perceived control in the decisions, first, to become an adopter of conservation technology, and, second, to invest more capital in the technology. The results lend credence to the Planned Behavior Theory but also support Derived Demand Theory, in that actual financial capability (actual control) is found important. To predict technology adoption we may need to account for both perceived and actual control. Unfettered government control of farmer technology decisions could be counterproductive, suggesting technology policy may need to include a mix of moral suasion and incentives with more modest controls.     

Evaluation readiness: improved evaluation planning using a data inventory framework

Factors intrinsic to many programs, such as ambiguously stated objectives, inadequately defined performance measures, and incomplete or unreliable databases, often conspire to limit the evaluability of these programs. Current evaluation planning approaches are somewhat constrained in their ability to overcome these obstacles and to achieve full preparedness for evaluation. In this paper, the concept of evaluation readiness is introduced as a complement to other evaluation planning approaches, most notably that of evaluability assessment. The basic products of evaluation readiness--the formal program definition and the data inventory framework--are described, along with a guide for assuring more timely and appropriate evaluation response capability to support the decision making needs of program managers. The utility of evaluation readiness for program planning, as well as for effective management, is also discussed.