Overview of Friedman’s Test and Post-hoc Analysis

When the null hypothesis of Friedman’s test is rejected, there is a wide variety of multiple comparisons that can be used to determine which treatments differ from each other. We will discuss the contexts where different multiple comparisons should be applied, when the population follows some discrete distributions commonly used to model count data in biological and ecological fields. Our simulation study shows that sign test is very conservative. Fisher’s LSD and Tukey’s HSD tests computed with ranks are the most liberal. Theoretical considerations are illustrated with data of the Azores Buzzard (Buteo buteo rothschildi) population from Azores, Portugal.     

A perspective on multinational enterprise’s national identity dilemma

ABSTRACT

This conceptual paper identifies gaps and contributes to the literature on ‘identity’ dilemmas faced by multinational enterprises operating in a globalised world. Various characteristics and business strategies of multinational enterprises are delineated and analysed through the lens of social identity theory and international business concepts such as market and institutional logic. Our analysis, based on multiple cases, and derived from a variety of industries and countries, associates the identity dilemma to informed business strategy. Our findings suggest that while multinational enterprises face identity dilemmas that they sometimes use to their advantage, it also poses several challenges. Through our conceptualisation, we derive five distinct propositions to shape future research directions.     

Identities in transition: the case of emerging market multinational corporations and its response to glocalisation

ABSTRACT

In this article, we critically review the extant literature and develop a conceptual framework for a sophisticated understanding of the multiple levels of influences that shape the nature and extent of ‘organisational identity’, a topical, multi-disciplinary and important area. We contribute by identifying and noting, both, the common theoretical and practical influences that shape an organisation’s identity especially maintaining the focus in relation to emerging market multinationals and its response to glocalisation. Our review and framework also points to the most common explanations that are evident in this cross-disciplinary field and points to the gaps and novel sets of identity influences that are needed to be unbundled and demystified in this arena, as several of these influences exist in practice, though they are not adequately studied through the lenses of organisational identity. We classify areas for future research based on recent contributions to the field and list identified gaps to invite further scholarship in this critical area of study and practice.     

Mapping the Timing,Pace, and Scale of the Fertility Transition in Brazil

Between 1960 and 2000, fertility fell sharply in Brazil, but this transition was unevenly distributed in space and time. Using Bayesian spatial statistical methods and microdata from five censuses, we develop and apply a procedure for fitting logistic curves to the fertility transitions in more than 500 small regions of Brazil over this 40‐year period. Doing so enables us to map the main features of the Brazilian fertility transition in considerable detail. We detect early declines in some regions of the country and document large differences between early and late transitions in regard to both the initial level of fertility and the speed of the transition. We also use our results to test hypotheses regarding changes in the level of development at the onset of the fertility transition and identify a temporary stall in the Brazilian transition that occurred in the late 1990s. A web site with project details is at http://schmert.net/BayesLogistic .     

The Development of Dynamic Facial Expression Recognition at Different Intensities in 4- to 18-Year-Olds

The primary purpose of this study was to examine the effect of the intensity of emotion expression on children's developing ability to label emotion during a dynamic presentation of five facial expressions (anger, disgust, fear, happiness, and sadness). A computerized task (AFFECT—animated full facial expression comprehension test) was used to display facial emotion expressions as animations with four levels of intensity (35, 50, 75, and 100 percent). In this study, which employed a cross-sectional design, 240 participants from 4 to 18 years completed the AFFECT. Results indicated that recognition ability developed for each of the emotions, with the exception of disgust, over the age range tested. Girls were more accurate than boys, especially for anger and disgust expressions. Recognition accuracy was found to increase as a function of the intensity of emotional expressions.     

An Applied Comparison of Area-Level Linear Mixed Models in Small Area Estimation

This article reviews four area-level linear mixed models that borrow strength by exploiting the possible correlation among the neighboring areas or/and past time periods. Its main goal is to study if there are efficiency gains when a spatial dependence or/and a temporal autocorrelation among random-area effects are included into the models. The Fay–Herriot estimator is used as benchmark. A design-based simulation study based on real data collected from a longitudinal survey conducted by a statistical office is presented. Our results show that models that explore both spatial and chronological association considerably improve the efficiency of small area estimates.     

A location–allocation model for service providers with application to not-for-profit health care organizations

In this paper, we develop and solve a model for the location and allocation of specialized health care services such as traumatic brain injury (TBI) treatment. The model is based on and applied to one of the Department of Veterans Affairs’ integrated service networks. A cost minimization model with service proportion requirements is solved using simulated annealing. Large instances of the model with 100 candidate medical center locations and 15 open treatment units are solved in about 1000 s. In order to test the real-world applicability of our model, an extensive managerial experiment is conducted using data derived from our health care setting. In this experiment, the effects of three critical factors: (1) degree of centralization of services, (2) the role of patient retention as a function of distance to a treatment unit, and (3) the geographic density of the patient population are investigated with respect to the important trade-off between the cost of providing service and the need to provide such service. Our analysis shows that all three factors of the experiment are both relevant and useful to decision-makers when selecting locations for their services.     

Likelihood Elasticity and Error Bounds

In this note it is shown that the Fisher information can be related to elasticity, a very important concept in economics. This economic concept can be used to provide a more intuitive meaning of the Fisher information in some important situations.     

Bayesian analysis of categorical data informatively censored

This article presents a general Bayesian analysis of incomplete categorical data considered as generated by a statistical model involving the categorical sampling process and the observable censoring process. The novelty is that we allow dependence of the censoring process paramenters on the sampling categories; i.e., an informative censoring process. In this way, we relax the assumptions under which both classical and Bayesian solutions have been de-veloped. The proposed solution is outlined for the relevant case of the censoring pattern based on partitions. It is completely developed for a simple but typical examples. Several possible extensions of our procedure are discussed in the final remarks.