A general bootstrap algorithm for hypothesis testing

The bootstrap is a intensive computer-based method originally mainly devoted to estimate the standard deviations, confidence intervals and bias of the studied statistic. This technique is useful in a wide variety of statistical procedures, however, its use for hypothesis testing, when the data structure is complex, is not straightforward and each case must be particularly treated. A general bootstrap method for hypothesis testing is studied. The considered method preserves the data structure of each group independently and the null hypothesis is only used in order to compute the bootstrap statistic values (not at the resampling, as usual). The asymptotic distribution is developed and several case studies are discussed.     

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.     

A Multidimensional Approach to Measuring Quality of Employment (QoE) Deprivation in Six Central American Countries

This paper proposes a methodology for measuring Quality of Employment (QoE) deprivation from a multidimensional perspective in six Central American countries (Costa Rica, El Salvador, Guatemala, Honduras, Nicaragua, and Panama) using a dataset specifically designed to measure employment conditions. Building on previous work on multidimensional poverty and employment indicators, the paper uses the Alkire/Foster (AF) method to construct a synthetic indicator of the QoE at an individual level. It selects four dimensions that must be considered as essential to QoE deprivation: income, job stability, job security and employment conditions. These dimensions then subdivide into several indicators, a threshold for each indicator and dimension is established before defining an overall cut-off line that allows for the calculation of composite levels of deprivation. The results generated by this indicator show that Central American countries can be divided into three distinct and robust performance groups in terms of their QoE deprivation. Overall, approximately 60% of the deprivation levels are attributable to non-income variables, such as occupational status and job tenure. The methodology used can allow policymakers to identify and focus on the most vulnerable workers in a labour market and highlights the fact that having a formal written contract is no guarantee of good job quality, particularly in the case of women.

     

ABC Shadow algorithm: a tool for statistical analysis of spatial patterns

This paper presents an original ABC algorithm, ABC Shadow, that can be applied to sample posterior densities that are continuously differentiable. The proposed algorithm solves the main condition to be fulfilled by any ABC algorithm, in order to be useful in practice. This condition requires enough samples in the parameter space region, induced by the observed statistics. The algorithm is tuned on the posterior of a Gaussian model which is entirely known, and then, it is applied for the statistical analysis of several spatial patterns. These patterns are issued or assumed to be outcomes of point processes. The considered models are: Strauss, Candy and area-interaction.     

Subtle priming of subtraction versus addition: a spill-over effect of math / La inducción sutil de sumar vs. restar: un efecto indirecto de las matemáticas

Abstract

Studies on bias correction have often used blatant inductions to motivate people to reduce the mental impact of perceived biases. In the current research, we test a relatively unexplored, subtle way of inducing bias correction based on the activation of different calculative mindsets. Across two studies, participants were exposed to an advertisement introducing a new consumer product delivered by a credible or non-credible source. Then, as part of an ostensibly unrelated study, participants completed mathematical operations that involved subtracting or adding. Study 1 revealed that when participants were primed with an addition calculative mindset, an expert source elicited more favourable attitudes towards the product than a non-expert source. This pattern illustrates the traditional effect of source credibility on persuasion. In contrast, within the subtraction calculative mindset condition, persuasion was no different between an expert and a non-expert source. These results were obtained exclusively under high thinking conditions (e.g., for participants high in Need for Cognition). This finding can be interpreted as if the effect of source credibility was subtracted from the evaluative judgement. Study 2 replicated this two-way interaction using different materials and inductions. The present research has implications for bias correction, procedural priming, persuasion and beyond.     

Paralinguistic Features Communicated through Voice can Affect Appraisals of Confidence and Evaluative Judgments

Journal of Nonverbal Behavior - This article unpacks the basic mechanisms by which paralinguistic features communicated through the voice can affect evaluative judgments and persuasion. Special...     

Making sense of social pretense: The effect of the dyad,sex, and language ability in a large observational study of children’s behaviors in a social pretend play context

Pretend play with peers is purportedly an important driver of social development in the preschool period; however, fundamental questions regarding the features of children's pretend play with a peer, and the effect of the dyad for pretend play, have been overlooked. The current study undertook detailed behavioral coding of social pretend play in 134 pairs of 5‐year‐old children (54% boys) in order to address three main aims: (a) describe the duration and proportion of children engaging in key social pretend play behaviors, namely calls for attention, negotiation (comprising role assignment and joint proposals) and enactment of pretend play, (b) examine the effect of the dyad in influencing the occurrence of different social pretend play behaviors, and (c) assess the independent and combined effect of individual child characteristics (i.e., language ability and sex) that may influence social pretend play behaviors beyond the influence of the dyad. Results demonstrated the overwhelming effect of the dyad in shaping children's social pretend play behaviors, with language ability and sex explaining relatively little of the total variability in play behaviors. Results are discussed considering the contribution that this type of study can make to theories of associations between children's social development and social pretend play.     

An AHP-based evaluation procedure for Innovative Educational Projects: A face-to-face vs. computer-mediated case study

In this paper a procedure to evaluate proposals for Educational Innovation Projects is proposed. This methodology should help the Institute of Educational Sciences of the Politechnical University of Valencia to choose the best Educational Project, the final aim being to provide the Administration with a stringent evaluation methodology, since the current evaluation methodology was found to be neither sufficiently objective nor systematic.     

The impact of modular platforms on automobile manufacturing networks

This paper explores the impact on automobile manufacturing networks of adopting modular platforms to replace the standard platforms used to date. Analysis of European manufacturers’ production networks shows that the use of modular architecture improves coordination by increasing manufacturing mobility and thriftiness ability. The changes resulting from this new modular approach also allow manufacturing capacity to be reorganised and overcapacity to be partially eliminated. From the point of view of production systems, the adaptation of manufacturing processes and facilities to this new architecture should aim to increase flexibility by integrating production around a single platform, allowing for different dimensions and for a larger number of models to be produced in a single plant.     

A Dyadic Approach to Understanding the Link Between Sexual Functioning and Sexual Satisfaction in Heterosexual Couples

Researchers have demonstrated that several dimensions of sexual functioning (e.g., sexual desire, arousal, orgasm) are associated with the sexual satisfaction of individuals in a committed mixed-sex (male–female) relationship. We extended this research by comparing a dyadic model that included both own (i.e., actor effect) and partner (i.e., partner effect) domains of sexual functioning to an individual model that included only actor effects. Participants were 124 mixed-sex couples who completed online measures of sexual functioning and sexual satisfaction. Data analysis using the actor–partner interdependence model (APIM) and structural equation modeling (SEM) indicated that the dyadic model had a better fit than the individual model. Women’s sexual desire and orgasm and men’s erectile functioning were significant positive predictors of both own and partner’s sexual satisfaction. These results are discussed in terms of the importance of taking a dyadic approach to research and clinical work related to sexual satisfaction.