A Bayesian model for multinomial sampling with misclassified data

In this paper the issue of making inferences with misclassified data from a noisy multinomial process is addressed. A Bayesian model for making inferences about the proportions and the noise parameters is developed. The problem is reformulated in a more tractable form by introducing auxiliary or latent random vectors. This allows for an easy-to-implement Gibbs sampling-based algorithm to generate samples from the distributions of interest. An illustrative example related to elections is also presented.     

Bayesian assessment of times to diagnosis in breast cancer screening

Breast cancer is one of the diseases with the most profound impact on health in developed countries and mammography is the most popular method for detecting breast cancer at a very early stage. This paper focuses on the waiting period from a positive mammogram until a confirmatory diagnosis is carried out in hospital. Generalized linear mixed models are used to perform the statistical analysis, always within the Bayesian reasoning. Markov chain Monte Carlo algorithms are applied for estimation by simulating the posterior distribution of the parameters and hyperparameters of the model through the free software WinBUGS.     

Profiles of adult survivors of severe sexual,physical and emotional institutional abuse in Ireland

Adult survivors of institutional abuse were interviewed with a comprehensive assessment protocol which included the Childhood Trauma Questionnaire, the Institutional Child Abuse Processes and Coping Inventory, the Structured Clinical Interviews for Disorders of the Diagnostic and Statistical Manual of Mental Disorders IV axis I disorders and personality disorders, the Trauma Symptoms Inventory, a Life Problems Checklist, the Experiences in Close Relationships Inventory and the Kansas Marital Satisfaction Scale. Profiles were identified for subgroups that described severe sexual (N = 60), physical (N = 102), or emotional (N = 85) abuse as their worst forms of maltreatment. Survivors of severe sexual abuse had the most abnormal profile, which was characterised by higher rates of all forms of child maltreatment and higher rates of post‐traumatic stress disorder, alcohol and substance abuse, antisocial personality disorder, trauma symptoms and life problems. Survivors of severe emotional abuse were better adjusted than the other two groups. The profile of survivors of severe physical abuse occupied an intermediate position between the other two groups. A thorough assessment of abuse history and current functioning should be conducted when providing services to adult survivors of institutional abuse, since this may have important implications for the intensity of services required. Survivors of severe sexual abuse may require more intensive services. Copyright © 2009 John Wiley & Sons, Ltd.     

Evaluation of a treatment program for abusive and high-risk families in Spain

This article describes a six-year evaluation of a comprehensive treatment program for abusive families in Spain. The evaluation involved practitioners' clinical judgments, standardized measures, and follow-up data about children's living situations. The results were similar to those obtained by similar programs from the United States and other developed countries. The analysis obtained the lowest rates of success for neglectful and abusive-neglectful families. Dropout and nondropout families differed in two paternal characteristics: alcohol problems and childhood experience of out-of-home care. Rehabilitated and nonrehabilitated families differed in several variables, including time elapsed between case detection and referral to the treatment program. Scores on measures showed significant changes during treatment.     

20 Questions of Gamblers Anonymous: A Psychometric Study with Population of Spain

The authors present a psychometric study of the questionnaire proposed by the Gamblers Anonymous organization for the self-assessment of problem gambling. The study was carried out in Spain with two samples: one of 127 problem gamblers (mean age: 41.67; sex: 78.7% men; mean duration of the problem: 5 years) and the other of 142 social gamblers (mean age: 38.46; sex: 60% men). The questionnaire was self-applied, in the presence of one of the investigators in case any doubts arose. The results indicate that it is a good screening instrument, with high reliability (Cronbach's alpha = 0.94), good covergent validity (the correlation with the SOGS questionnaire is high (r = 0.94; p < 0.001)), good factorial validity (the questionnaire's structure is unidimensional and coherent (just one factor explains more than 50% of the variance)), and its discriminative power is high (diagnostic efficacy = 98.88%). The study offers a comparative analysis of this instrument with other measures of problem gambling, emphasizing its extraordinary performance.     

The impact of external,internal, and dual relational embeddedness on the innovation performance of foreign subsidiaries: Evidence from a developing country

As parts of a global network, foreign-owned subsidiaries enjoy privileged access to knowledge sources both internal (within their multinational group) and external (involving other organizations in the host location), and this has proven especially relevant in their assumption of greater creative responsibilities that increase the technological capabilities of their multinational group. This study investigates whether external and internal relational embeddedness are mutually reinforcing (complementary) or whether they act separately in explaining superior innovation performance of foreign-owned subsidiaries in terms of a greater propensity to obtain radical innovations. The empirical analysis uses both direct and indirect tests to evaluate the complementarity, as well as a rich firm-level panel data on foreign subsidiaries, extracted from a census of Colombian manufacturing firms for the period 2008–2014. Our findings reveal that external relational embeddedness in isolation (without internal embeddedness) has a positive impact on performance only in terms of incremental innovation, while internal embeddedness alone (without external embeddedness) has no effect on the innovation performance of subsidiaries. However, we find that a complementary and dynamic relationship exists between external and internal linkages to spur radical innovation outcomes, which in turn are related to the competence-creating roles in foreign subsidiaries as prior literature has shown.     

Critical capabilities for widening international new ventures’ geographical scope.

Current findings are still inconclusive with regard to the role played by the characteristics of social networks in INVs’ early geographical scope. This study analyses how entrepreneurial-oriented networks affect new ventures’ early geographical scope through critical capabilities. We have adopted a behavioural perspective to investigate the effect of social networks both on international new ventures’ geographical scope and on their critical capabilities such as absorptive and adaptive capabilities. Results from a sample of 183 Spanish international ventures confirm the importance of entrepreneurial orientation as a network characteristic for early geographical scope. Additionally, the positive effect of adaptive capability on new ventures’ early geographical dispersion has been confirmed but not so in the case of absorptive capabilities. Our results suggest that future research must be careful to assume international new ventures’ absorptive capability as a prerequisite to their cross-border expansion.     

Powerful nonparametric statistics to compare k independent ROC curves

The authors deal with the problem of comparing receiver operating characteristic (ROC) curves from independent samples. From a nonparametric approach, they propose and study three different statistics. Their asymptotic distributions are obtained and a resample plan is considered. In order to study the statistical power of the introduced statistics, a simulation study is carried out. The (observed) results suggest that, for the considered models, the new statistics are more powerful than the usually employed ones (the Venkatraman test and the usual area under the ROC curve criterion) in non-uniform dominance situations and quite good otherwise.     

Income distribution,economic growth and European integration

In this paper I discuss recent theories on the relationship between growth and inequality, and ask whether the two move together or not. Output growth can be due to increases in physical capital, human capital, employment or the level of technology, and I argue that each of these represents a mechanism that relates our two variables of interest. The European integration process has represented a major policy change that has affected not only the opportunities for growth but also the constraints faced by national governments. We can then ask whether such integration has had an effect on inequality, and to what extent it has resulted in a conflict between productive efficiency and distributive considerations.