Neural Correlates of Encoding Predict Infants’ Memory in the Paired‐Comparison Procedure

The present study used event‐related potentials (ERPs) to monitor infant brain activity during the initial encoding of a previously novel visual stimulus, and examined whether ERP measures of encoding predicted infants’ subsequent performance on a visual memory task (i.e., the paired‐comparison task). A late slow wave component of the ERP measured at encoding predicted infants’ immediate performance in the paired‐comparison task: amplitude of the late slow wave at right‐central and temporal leads decreased with stimulus repetition, and greater decreases at right‐anterior‐temporal leads during encoding were associated with better memory performance at test. By contrast, neither the amplitude nor latency of the negative central (Nc) component predicted infants’ subsequent performance in the paired‐comparison task. These findings are discussed with respect to a biased competition model of visual attention and memory.     

From ‘temporary migrants’ to ‘permanent residents’: Indian H-1B visa holders in the United States

Literature on international migration from India in the past has focused on the formation and development of ‘Indian diasporas’; that is, Indians who have moved to various parts of the world and maintain socio-economic, cultural and political lives in India as well as other countries. However, little attention has been paid toward ‘temporary migrants’ who have migrated to different countries with a temporary visa and in the course of time extended their visas to become ‘permanent residents’. Temporary migration from India has become a common trend over the last two decades, especially since the acceleration of globalisation and the developments in the fields of information and communication technologies. Although it is argued that this type of migration took place in the past – for instance, Indians migrated to British, French, Dutch and Portuguese colonies during the nineteenth and early part of the twentieth centuries as indentured labourers for a period of three to five years and later extended their stays – what is new about the current trend is the new state policies of different host countries and the socio-economic and cultural background of the immigrants. This paper is an exploratory study of this contemporary phenomena of movement from ‘temporary migrant’ to ‘permanent resident’, a phenomena which has not been given much attention by academicians and policy makers in India. The present paper outlines this trend with an illustration of Indian H-1B visa holders in the United States.     

Unhealthy assimilation: Why do immigrants converge to American health status levels?

It is well documented that immigrants are in better health upon arrival in the United States than their American counterparts but that this health advantage erodes over time. We study the potential determinants of this "healthy immigrant effect, " with a particular focus on the tendency of immigrants to converge to unhealthy American BMI levels. Using data from the National Health Interview Survey, we find that average female and male immigrants enter the United States with BMIs that are approximately two and five percentage points lower than native-born women and men, respectively. Consistent with the declining health status of immigrants the longer they remain in the United States, we also find that female immigrants almost completely converge to American BMIs within 10 years of arrival, and men close a third of the gap within 15 years.     

Just say no to data listings!

Sponsor companies often create voluminous static listings for Clinical Study Reports (CSRs) and regulatory submissions, and possibly for internal use to review participant-level data. This is likely due to the perception that they are required and/or lack of knowledge of various alternatives. However, there are other ways of viewing clinical study data that can provide an improved user experience, and are made possible by standard data structures such as the Study Data Tabulation Model (SDTM). The purpose of this paper is to explore some alternatives to providing a complete set of static listings and make a case for sponsors to begin considering these alternatives. We will discuss the recommendations from the PHUSE white paper, “Data Listings in Clinical Study Reports.”     

Bayesian factor models for multivariate categorical data obtained from questionnaires

Factor analysis is a flexible technique for assessment of multivariate dependence and codependence. Besides being an exploratory tool used to reduce the dimensionality of multivariate data, it allows estimation of common factors that often have an interesting theoretical interpretation in real problems. However, standard factor analysis is only applicable when the variables are scaled, which is often inappropriate, for example, in data obtained from questionnaires in the field of psychology, where the variables are often categorical. In this framework, we propose a factor model for the analysis of multivariate ordered and non-ordered polychotomous data. The inference procedure is done under the Bayesian approach via Markov chain Monte Carlo methods. Two Monte Carlo simulation studies are presented to investigate the performance of this approach in terms of estimation bias, precision and assessment of the number of factors. We also illustrate the proposed method to analyze participants'' responses to the Motivational State Questionnaire dataset, developed to study emotions in laboratory and field settings.     

Toward Development of the End User Computing Construct in a University Setting*

The authors identify and define the end user computing (EUC) construct and operationalize the construct through development of a valid, reliable measure called the EUC activities scale. This scale is designed to distinguish specific, discrete computer activities performed on the job. The research analyzes the validity and reliability of the instrument based on data obtained from 776 university employees who participated in the initial, exploratory application. Exploratory factor analysis of the scale resulted in five factors. In order of increasing complexity of job-related computer activities, these factors are: beginning EUC activities, intermediate EUC activities, advanced EUC activities, EUC facilitation activities, and EUC infrastructure activities. The factor analysis, reliabilities, and known-groups analysis provide support for the construct validity of the instrument when used in a university setting. Suggestions are provided for further use of the scale in business environments to increase generalizability, refine the instrument, and help establish a coherent theoretical basis for further research in EUC.     

Why parents matter: exploring the impact of a hegemonic concern with the timetable for the child

In a climate of austerity, timescales and targets, this paper probes whether parents matter sufficiently within the current child protection system in England. Evidence suggests that achieving partnership working in the context of child protection has become increasingly illusive, particularly when parents are notified that the local authority is considering compulsory intervention to remove their children under the Children Act 1989. Recent changes to legislation, policy and practice ushered in with the aim of achieving earlier decisions within the time frame for the child are laudable, but there are consequences for both children and their parents. The aspirations of the Public Law Outline (2008) are well rehearsed, but the changes being introduced with the recent reform of the family justice system, alongside particular constructions of parenting, may be failing to recognize the potential of many parents, if offered appropriate support, to care safely for their children.