Testing Infants' Discrimination With the Orientation Latency Procedure

A new discrimination procedure based on the measurement of visual orientation latency to speech stimuli is introduced. Each participant listens to a series of short familiarization test trials. In each trial, 5 to 7 centrally‐presented familiarization stimuli are followed by laterally‐presented test stimuli. Infants were found to orient faster to different‐category than to same‐category test stimuli. This result was found despite a high degree of prosodic variability in the familiarization and test stimuli introduced by changes in talker and speaking rate. The combination of a multitrial design with use of acoustic and prosodic variability seems suitable for studying the representation of phonological categories.     

The microfoundations of diaspora politics: unpacking the state and disaggregating the diaspora

ABSTRACT

Recognising the need to unpack ?the ‘state’ and? ?problematise? the term? ‘diaspora’, in this special issue we examine the various actors within (and beyond) the state that participate in the design and implementation of diaspora policies, as well as the mechanisms through which ???diasporas?? are constructed by governments, political parties, diaspora entrepreneurs, or international organisations?. Ex??tant theories are often hard-pressed to capture the empirical variation and often end up identifying ‘exceptions’. We?? theorise these ‘exceptions’ through three interrelated? conceptual moves: First, ??we focus on? ??underst?udie?d? aspects of the relationships between states as well as organised non-state actors and their citizens or co-ethnics? abroad (??or at home – in cases of return migration).? Second, ??we? ??examine dyads of ?origin states and specific diasporic communities differentiated by time of emigration, place of residence, socio-economic status, migratory status, generation, or skills. T?hird??,? ?we ?consider? migration in its multiple spatial and temporal phases (emigration, immigration, transit, return??)? and ?how the???y?? inter?sect to?? constitute diasporic identities?? and policies. ??These? conceptual moves contribute to comparative research in the field and allow us to identify the mechanisms? connect?ing structural variable??s with ? specific policies by states ?(and other actors?) as well as responses? by the relevant ?diasporic ?communi?ties??.     

Local labour markets delineation: an approach based on evolutionary algorithms and classification methods

In this paper a methodology for the delineation of local labour markets (LLMs) using evolutionary algorithms is proposed. This procedure, based on that in Flórez-Revuelta et al. [13 F. Flórez-Revuelta, J.M. Casado-Díaz, and L. Martínez-Bernabeu, An evolutionary approach to the delineation of functional areas base on travel-to-work flows, Int. J. Autom. Comput. 5(1) (2008), pp. 10–21. doi: 10.1007/s11633-008-0010-6[Crossref] , [Google Scholar],14 F. Flórez-Revuelta, J.M. Casado-Díaz, L. Martínez-Bernabeu, and R. Gómez-Hernández, A memetic algorithm for the delineation of local labour markets, in Parallel Problem Solving from Nature X, Vol. 5199, Lecture Notes in Computer Science, G. Rudolph, T.H. Jansen, S.M. Lucas, C. Poloni, and N. Beume, eds., Springer, Berlin, 2008, pp. 1011–1020. [Google Scholar]], introduces three modifications. First, initial groups of municipalities with a minimum size requirement are built using the travel time between them. Second, a not fully random initiation algorithm is proposed. And third, as a final stage of the procedure, a contiguity step is implemented. These modifications significantly decrease the computational times of the algorithm (up to a 99%) without any deterioration of the quality of the solutions. The optimization algorithm may give a set of potential solutions with very similar values with respect to the objective function what would lead to different partitions, both in terms of number of markets and their composition. In order to capture their common aspects an algorithm based on a cluster partitioning of k-means type is presented. This stage of the procedure also provides a ranking of LLMs foci useful for planners and administrations in decision-making processes on issues related to labour activities. Finally, to evaluate the performance of the algorithm a toy example with artificial data is analysed. The full methodology is illustrated through a real commuting data set of the region of Aragón (Spain).     

Introducing model uncertainty by moving blocks bootstrap

It is common in parametric bootstrap to select the model from the data, and then treat as if it were the true model. Chatfield (1993, 1996) has shown that ignoring the model uncertainty may seriously undermine the coverage accuracy of prediction intervals. In this paper, we propose a method based on moving block bootstrap for introducing the model selection step in the resampling algorithm. We present a Monte Carlo study comparing the finite sample properties of the proposel method with those of alternative methods in the case of prediction intervas.     

Psychological Abuse in Young Couples: Risk Factors

ABSTRACT

In a study conducted at a major university in Spain, 648 university students between the ages of 17 and 23 years were assessed to identify the manifestations of psychological abuse prior to the consolidation of marital status (e.g., matrimony, start of cohabitation). To evaluate psychological abuse in the students’ intimate relationships, the authors created a Questionnaire on Psychological Abuse. Results show coercive patterns of interaction in the students’ dating relationships. Significant differences were found between men and women, with behavioral factors such as hostility, blaming, and abusive insistence. Future research is suggested that would permit changes in attitude and behavior to be introduced into dating relations.     

A FORMAL EXPLICATION OF THE CONCEPT OF FAMILY HOMEOSTASIS

The concept of family homeostasis and related concepts such as family rules and family feedback mechanisms came under heavy fire in a recent article by Dell (1982). It is not easy to evaluate the arguments brought forth by Dell, since the concepts in question seem to have never been formally explicated. Most of this article is devoted to an attempt to develop such a formal explication. Dell's arguments are then examined one by one in the light of this explication, and most of them are shown to be mistaken. His main conclusion, that the concept of homeostasis should be replaced by a concept of coherence, is rejected.     

Towards an adequate and sustainable replacement rate in defined benefit pension systems: The case of Spain

The main objective of this article is to determine, based on internal data, replacement rates for a defined benefit pension system, with two aims: the adequacy of pensions – measured in terms of the expenditure of retirees – and the sustainability of the system. For this purpose two instruments are used: the internal rate of return, and techniques based on systems of notional accounts. These figures, derived from internal data, will serve, by comparison with the replacement rate of the system, to assess whether the system tends more towards adequacy or sustainability. The system studied is that of Spain.     

Assessing the predictive value of a binary surrogate for a binary true endpoint based on the minimum probability of a prediction error

The individual causal association (ICA) has recently been introduced as a metric of surrogacy in a causal‐inference framework. The ICA is defined on the unit interval and quantifies the association between the individual causal effect on the surrogate (ΔS) and true (ΔT) endpoint. In addition, the ICA offers a general assessment of the surrogate predictive value, taking value 1 when there is a deterministic relationship between ΔT and ΔS, and value 0 when both causal effects are independent. However, when one moves away from the previous two extreme scenarios, the interpretation of the ICA becomes challenging. In the present work, a new metric of surrogacy, the minimum probability of a prediction error (PPE), is introduced when both endpoints are binary, ie, the probability of erroneously predicting the value of ΔT using ΔS. Although the PPE has a more straightforward interpretation than the ICA, its magnitude is bounded above by a quantity that depends on the true endpoint. For this reason, the reduction in prediction error (RPE) attributed to the surrogate is defined. The RPE always lies in the unit interval, taking value 1 if prediction is perfect and 0 if ΔS conveys no information on ΔT. The methodology is illustrated using data from two clinical trials and a user‐friendly R package Surrogate is provided to carry out the validation exercise.