Nonparametric rank-based test procedures for non-additive models in the two-way layout I. no replications

One of the major unresolved problems in the area of nonparametric statistics is the need for satisfactory rank-based test procedures for non-additive models in the two-way layout, especially when there is only one observation on each combination of the levels of the experimental factors. In this paper we consider an arbitrary non-additive model for the two-way layout with n levels of each factor. We utilize both alignment and ranking of the data together with basic properties of Latin squares to develop rank tests for interaction (non-additivity). Our technique involves first aligning within one of the main effects, ranking within the other main effects (columns and rows) and then adding the resulting ranks within “interaction bands” corresponding to orthogonal partitions of the interaction for the model, as denoted by the letters of an n × n Latin square. A Friedman-type statistic is then computed on the resulting sums. This is repeated for each of (n?1) mutually orthogonal Latin squares (thus accounting for all the interaction degrees of freedom). The resulting (n?1) Friedman-type statistics are finally combined to obtain an overall test statistic. The necessary null distribution tables for applying the proposed test for non-additivity are presented and we discuss the results of a Monte Carlo simulation study of the relative powers of this new procedure and other (parametric and nonparametric) procedures designed to detect interaction in a two-way layout with one observation per cell.     

Contributors to a multivariate statistical process control chart signal

A significant practical disadvantage of multivariate statistical process control is that it is difficult to determine which of the monitored variables is responsible for the out-of-control signal. While there have been several proposed techniques and diagnostics, most of these have disadvantages. Rather than an ad hoc selection, we use three approaches to develop a diagnostic for a chi-square chart and generate the same statistic from each approach. Consequently, intuitive interpretations of the diagnostic are provided and previous proposals are simplified by a focus on a single metric.     

A review of statistical process control techniques for short run manufacturing systems

Because manufacturing lot sizes continue to shrink, statistical process control methods for short production runs are increasingly important. We review and comment on the assumptions, advantages and disadvantages of alternatives, Traditional methods well as more recent developments are described and contrasted.     

The Revenue Effects of the Kennedy and Reagan Tax Cuts: Some Time Series Estimates

Univariate time series models are estimated for sample periods ending with the enactment of major tax reductions in 1964 and 1981. These models are used to forecast government revenue for the period following the tax cut, and the pattern of forecast errors is examined. Unforecast revenue is negative and large relative to its standard error following the 1981 tax cuts but is close to zero following the 1964 cuts. This disparity occurs because national output behaved differently in the two cases, suggesting that short-run movements in output are dominated by factors other than tax rate changes.     

Social Change in Economic Development Theory*

L'auteur entrepend une évaluation critique des postulats sociologiques de certaines études importantes du développment économique. Des intérèts politiques et des intentions réformistes influencent ces études et limitent leur portée quant à la formulation d'une théorie du ehangement social. La mode veut que Ton explique le ehangement social dans diverses societes par le truchement d'un seul schème conceptuel ou d'un seul facteur principal. L'auteur examine quatre modeles: homéostatique, évolutionniste, libéral et psychologique. En conclusion, il indique l'approche marxiste et l'importance qu'elle accorde au pouvoir politique, aux interets acquis et au conflict social.     

The mouse that roared? Article publishing in undergraduate sociology programs

This paper explores article production by the entire population of US undergraduate sociology departments. The available literature suggests that undergraduate programs publish little, that this is concentrated among relatively few—mainly liberal arts—departments, and that publication rates are increasing. We argue There are reasons to expect that social/economic presence, reward policies, student quality, and faculty quality, size, and workload will affect productivity. Tracing publication of articles across the 1990s, few undergraduate departments are represented in 30 journals deemed important on the bases of reputation and citation rates. Liberal arts schools do not predominate. Ceteris paribus, public schools outpublished private schools. Publication rates have not increased. Social/economic presence, and student and faculty quality affect publishing, but salary, tenure structure, and workload do not. Finally, faculty size suppresses per capita publication.     

Environmental Risk, Precaution, and Scientific Rationality in the Context of WTO/NAFTA Trade Rules

This article considers the role of scientific rationality in understanding statements of risk produced by a scientific community. An argument is advanced that, while scientific rationality does impose constraints on valid scientific justifications for restrictions on products and practices, it also provides flexibility in the judgments needed to both develop and apply characterizations of risk. The implications of this flexibility for the understanding of risk estimates in WTO and NAFTA deliberations are explored, with the goal of finding an intermediate ground between the view that science unambiguously justifies or rejects a policy, and the view that science is yet another cultural tool that can be manipulated in support of any decision. The result is a proposal for a dialogical view of scientific rationality in which risk estimates are depicted as confidence distributions that follow from a structured dialogue of scientific panels focused on judgments of evidence, evidential reasoning, and epistemic analysis.     

Nonparametric statistical procedures for the changepoint problem

Let X₁,…,X_r?1,X_r,X_r+1,…,X_n be independent, continuous random variables such that X_i, i = 1,…,r, has distribution function F(x), and X_i, i = r+1,…,n, has distribution function F(x?Δ), with -∞ <Δ< ∞. When the integer r is unknown, this is refered to as a change point problem with at most one change. The unknown parameter Δ represents the magnitude of the change and r is called the changepoint. In this paper we present a general review discussion of several nonparametric approaches for making inferences about r and Δ.     

RESEARCH IN FAMILY THERAPY: A GRADUATE LEVEL COURSE

Training in family therapy research must move beyond traditional methods courses. This paper describes a five-unit course which (a) reviews the fundamentals of research methodology and grounds the student in the history of psychotherapy research in general; (b) gives an overview of family research through detailed analysis of major review articles; (c) covers instrumentation tools and techniques; (d) critically evaluates key investigations in the field; and (e) examines the challenges of the "new epistemologies" for family therapy research. Learning activities are described for each unit that engage the student in such a way that the learning of research might be enjoyable as well as interesting. The paper may also be employed as a guide for self-study in family therapy research.