Inferences on the ratio of two generalized variances: independent and correlated cases

Statistical inferences about the dispersion of multivariate population are determined by generalized variance. In this article, we consider constructing a confidence interval and testing the hypotheses about the ratio of two independent generalized variances, and the ratio of two dependent generalized variances in two multivariate normal populations. In the case of independence, we first propose a computational approach and then obtain an approximate approach. In the case of dependence, we give an approach using the concepts of generalized confidence interval and generalized p value. In each case, simulation studies are performed for comparing the methods and we find satisfactory results. Practical examples are given for each approach.     

Effectiveness of Performance Appraisal: An Integrated Framework

Based on a robust analysis of the existing literature on performance appraisal (PA), this paper makes a case for an integrated framework of effectiveness of performance appraisal (EPA). To achieve this, it draws on the expanded view of measurement criteria of EPA, i.e. purposefulness, fairness and accuracy, and identifies their relationships with ratee reactions. The analysis reveals that the expanded view of purposefulness includes more theoretical anchors for the purposes of PA and relates to various aspects of human resource functions, e.g. feedback and goal orientation. The expansion in the PA fairness criterion suggests certain newly established nomological networks, which were ignored in the past, e.g. the relationship between distributive fairness and organization‐referenced outcomes. Further, refinements in PA accuracy reveal a more comprehensive categorization of rating biases. Coherence among measurement criteria has resulted in a ratee reactions‐based integrated framework, which should be useful for both researchers and practitioners.     

Feedback Loops as Dynamic Processes of Organizational Knowledge Creation in the Context of the Innovations’ Front‐end

Feedback loops are instrumental in the organizational knowledge creation (OKC) process across the highly uncertain and dynamic innovation's front‐end. Therefore, managers should be aware of how these loops unfold, how to recognize meaningful patterns and how to steer them towards planned and emergent outcomes. Easy to say, difficult to practise! This empirical paper focuses on knowledge–conceptualization – the new knowledge's generation‐crystallization journey – and develops a unique model of feedback loops as dynamic processes of OKC in the context of the innovations’ front‐end. Using ten qualitatively studied innovations, the authors identify five front‐end OKC stages (generation, evaluation, expansion, refinement and crystallization) and pattern these based on their overlaps to explore the associated feedback loops. This model distinctively illustrates increasing–decreasing, diverging–converging and frequent negative‐cum‐positive loops, and illuminates the complex and rich patterns of loops not captured before.     

The McDonald Gompertz distribution: Properties and applications

This article introduces a five-parameter lifetime model called the McDonald Gompertz (McG) distribution to extend the Gompertz, generalized Gompertz, generalized exponential, beta Gompertz, and Kumaraswamy Gompertz distributions among several other models. The hazard function of new distribution can be increasing, decreasing, upside-down bathtub, and bathtub shaped. We obtain several properties of the McG distribution including moments, entropies, quantile, and generating functions. We provide the density function of the order statistics and their moments. The parameter estimation is based on the usual maximum likelihood approach. We also provide the observed information matrix and discuss inferences issues. The flexibility and usefulness of the new distribution are illustrated by means of application to two real datasets.     

Physical and social circumstances of children in Iran affected by the incarceration of the mother

The children of incarcerated parents have been a relatively invisible population. More and more children are being affected by the incarceration of a parent. These young people are already at high risk along several dimensions and tend to live under conditions characterised by poverty, instability and diminished access to sources of support. The study presented in this research explores the physical, social and psychological conditions of children in Iran affected by the incarceration of the mother, thereby contributing to the international literature by describing the problem of children of prisoners in Iran. Here we describe in an international perspective the physical and social conditions with which these children are confronted. The study comprises 33 children who had spent some time in prison with their mothers but were then moved to welfare centres. The most prevalent illnesses of these children were infectious diseases, bruises, wounds on lips and fractures of the hand. The Vineland Social Maturity Scale indicated that the children's locomotion and socialisation skills were relatively low.     

Occupational Safety and English Language Proficiency

Recent occupational injury data shows a rising trend, which happens to coincide with both increases in the foreign-born population in the U.S. and changes in its composition. This study aims to explore the presence of a statistical relationship between occupational injuries and the level of English proficiency of foreign-born using cross-sectional data on the rate of injury and count of injury incidents. A cultural gap hypothesis is also examined as an alternative explanation for the rise in work injuries. While there is some support for the adverse effect of inadequate English language proficiency of foreign-born, the results for the cultural gap hypothesis are more robust.     

Testing the equality of quantiles for several normal populations

Many procedures exist for testing equality of means or medians to compare several independent distributions. However, the mean or median do not determine the entire distribution. In this article, we propose a new small-sample modification of the likelihood ratio test for testing the equality of the quantiles of several normal distributions. The merits of the proposed test are numerically compared with the existing tests—a generalized p-value method and likelihood ratio test—with respect to their sizes and powers. The simulation results demonstrate that proposed method is satisfactory; its actual size is very close to the nominal level. We illustrate these approaches using two real examples.     

International Evidence on the Determinants of Organizational Ethical Vulnerability

This paper proposes a model to explain what makes organizations ethically vulnerable. Drawing upon legitimacy, institutional, agency and individual moral reasoning theories we consider three sets of explanatory factors and examine their association with organizational ethical vulnerability. The three sets comprise external institutional context, internal corporate governance mechanisms and organizational ethical infrastructure. We combine these three sets of factors and develop an analytical framework for classifying ethical issues and propose a new model of organizational ethical vulnerability. We test our model on a sample of 253 firms that were involved in ethical misconduct and compare them with a matched sample of the same number of firms from 28 different countries. The results suggest that weak regulatory environment and internal corporate governance, combined with profitability warnings or losses in the preceding year, increase organizational ethical vulnerability. We find counterintuitive evidence suggesting that firms’ involvement in bribery and corruption prevention training programmes is positively associated with the likelihood of ethical vulnerability. By synthesizing insights about individual and corporate behaviour from multiple theories, this study extends existing analytical literature on business ethics. Our findings have implications for firms’ external regulatory settings, corporate governance mechanisms and organizational ethical infrastructure.     

Event history modeling of world fertility survey data∗

Event history analysis seems ideally suited for the analysis of World Fertility Survey, WFS, data, which consists of full birth histories and related information, but it has not been much used for this purpose. This may be because event history analysis has practical drawbacks for WFS data, namely partial dates, computational burden, the need to take account of five clocks at once and the difficulty of interpreting coefficients.

We propose a modeling strategy for the event history analysis of WFS data which overcomes these problems, and we apply it to the previously unanalyzed WFS data from Iran. This yields estimates of the time of onset of fertility decline and the extent to which it was due to compositional changes in the population. It also enables us to determine whether it was a period effect, a cohort effect, or both. These results would have been hard to obtain using other approaches. In addition, the usefulness of ACE as an exploratory tool for determining the best coding of independent variables is illustrated.