Using Service‐Customer Matrices in Strategic Analysis of Nonprofits

This article demonstrates the value of service‐customer matrices (SCMs) for managers performing strategic analysis of nonprofit organizations (NPOs). Some of the benefits of using SCMs are understanding the portfolio of businesses; clarifying what sponsors and clients value; identifying rivals, key attributes, and revenues on a service‐customer segment basis; and understanding and formulating positioning strategy.     

Orthogonal blocking of response surface split-plot designs

When all experimental runs cannot be performed under homogeneous conditions, blocking can be used to increase the power for testing the treatment effects. Orthogonal blocking provides the same estimator of the polynomial effects as the one that would be obtained by ignoring the blocks. In many real-life design scenarios, there is at least one factor that is hard to change, leading to a split-plot structure. This paper shows that for a balanced ordinary least square–generalized least square equivalent split-plot design, orthogonal blocking can be achieved. Orthogonally blocked split-plot central composite designs are constructed and a catalog is provided.     

Mean squared error of prediction approach to the analysis of a combined array

SUMMARY The combined array provides a powerful, more statistically rigorous alternative to Taguchi's crossed-array approach to robust parameter design. The combined array assumes a single linear model in the control and the noise factors. One may then find conditions for the control factors which will minimize an appropriate loss function that involves the noise factors. The most appropriate loss function is often simply the resulting process variance, recognizing that the noise factors are actually random effects in the process. Because the major focus of such an experiment is to optimize the estimated process variance, it is vital to understand the resulting prediction properties. This paper develops the mean squared error for the estimated process variance for the combined array approach, under the assumption that the model is correctly specified. Specific combined arrays are compared for robustness. A practical example outlines how this approach may be used to select appropriate combined arrays within a particular experimental situation.     

'Anything you can do, tu can do better': tu and vous as substitutes for indefinite on in French

Research on Montreal French (Laberge and Sankoff 1979; Thibault 1991) has shown a spectacular rise in the use of indefinite tu (or vous ) in recent decades, at the expense of the standard form on . Although grammars of French have traditionally passed over indefinite tu / vous in silence, Ashby's study of Tours French (1992) confirmed that the phenomenon exists in metropolitan French also. The historical time-depth of indefinite tu/ vous has apparently not been explored previously, though Posner (1997) has suggested that indefinite tu is a modern feature, found especially in Canada. A survey of indefinite tu / vous in earlier periods and in a range of varieties forms the first part of this paper. Secondly, drawing on a corpus of French spoken in Picardy, northern France, the paper investigates the extent to which this use of the 2nd person pronouns: (i) helps to avoid ambiguity; (ii) co-occurs with another grammatical variable. Unlike the surveys of Montreal and Tours, the Picardy corpus includes a large majority of informants who used tu to address the interviewer, and this too is explored as a potential influence on speakers' use of 2nd person pronouns with indefinite reference.     

Challenges in Teaching Short Courses by an Academic Department: The University of Florida Experience

“A Week of Short Courses” is the title given by the Department of Statistics at the University of Florida to its offerings each spring. The offerings are short courses, each lasting 2 1/2 days. The program began in the spring of 1991 with four courses, and has grown to six courses in 1994. During this four-year period the Department of Statistics has faced many challenges that are addressed in this paper.     

Modifying a central composite design to model the process mean and variance when there are hard-to-change factors

Summary.  An important question within industrial statistics is how to find operating conditions that achieve some goal for the mean of a characteristic of interest while simultaneously minimizing the characteristic's process variance. Often, people refer to this kind of situation as the robust parameter design problem. The robust parameter design literature is rich with ways to create separate models for the mean and variance from this type of experiment. Many times time and/or cost constraints force certain factors of interest to be much more difficult to change than others. An appropriate approach to such an experiment restricts the randomization, which leads to a split-plot structure. The paper modifies the central composite design to allow the estimation of separate models for the characteristic's mean and variances under a split-plot structure. The paper goes on to discuss an appropriate analysis of the experimental results. It illustrates the methodology with an industrial experiment involving a chemical vapour deposition process for the manufacture of silicon wafers. The methodology was used to achieve a silicon layer thickness value of 485 Å while minimizing the process variation.     

A new model and class of designs for mixture experiments with process variables

Experiments that involve the blending of several components are known as mixture experiments. In some mixture experiments, the response depends not only on the proportion of the mixture components, but also on the processing conditions, A new combined model is proposed which is based on Taylor series approximation and is intended to be a compromise between standard mixture models and standard response surface models. Cost and/or time constraints often limit the size of industrial experiments. With this in mind, we present a new class of designs that will accommodate the fitting of the new combined model.     

Explaining High‐Profile Coverage of State Supreme Court Decisions*

Objective. In this article, we investigate the decision of media in the U.S. states to give high‐profile coverage to state supreme court decisions. While research on the U.S. Supreme Court has forged an association between media coverage and the political salience of court decisions, scholars have been unable to examine such coverage in the increasingly important state courts of last resort. Methods. Utilizing new data of high‐profile coverage over time in these courts, we examine the extent to which case characteristics, judicial behavior, and institutional variation influence media attention. Our empirical model covers 28,045 state supreme court cases over all 50 states, between the years 1995–1998. Results. Our findings indicate that the likelihood of high‐profile coverage increases when certain case characteristics, particularly declarations of unconstitutionality, are present, in addition to dissent within a court. Despite the importance of institutional differences among state supreme courts, front‐page coverage is not affected by this variation. Conclusions. In our conclusions, we evaluate those scenarios in which high‐profile media coverage is more likely for state supreme court cases, and the possible implications this may have for judicial politics.     

Beyond the iconic protest images: the performance of ‘everyday life’ on social media during Gezi Park

ABSTRACT

Using the Gezi Park protests as a case study this article considers the performative component of protest movements including how and why protestors actively produce protest activity ‘on the ground’ and how this is expressed through visual images. It looks beyond iconic images which appear as emblematic of the protest and instead shifts our focus to consider the more ‘everyday’ or mundane activities which occur during a protest occupation, and explores how social media allows these images to have expressive and communicative dimensions. In this respect, protests can be performed through humdrum activities and this signifies a political voice which is communicated visually. The research is based on visual analysis of Twitter data and reveals methodological innovation in understanding how protestors communicate.