Do hours matter? The relationship between motivation and study intensity in learners of English in Scotland

This paper examines the impact of English language learners’ motivation on their choice of study intensity using data from a national survey of learners in publicly funded English for Speakers of Other Languages (ESOL) courses across Scotland. In particular, the motivation of learners attending only a few hours per week (i.e. very part-time learners) is compared with those attending for more hours. Our study found that there are differences in motivation and aspiration amongst very part-time and part-time or full-time learners but also that employment and child care may have as much influence as motivation in causing learners to enrol on very part-time English classes. The findings relating to these learners in our study present a particular challenge to ESOL providers which offer only very part-time courses.     

Shareholder Value and the Transformation of the U.S. Economy, 1984–20001

Using data from 62 U.S. industries for 1984–2000, this article explores the connections between shareholder value strategies, such as mergers and layoffs, and related industry‐level changes, such as de‐unionization, computer technology, and profitability. In line with shareholder value arguments, mergers occurred in industries with low profits, and industries where mergers were active subsequently saw an increase in layoffs. Industries with a high level of mergers increased investment in computer technology. This technology displaced workers through layoffs and was focused on reducing unionized workforces. Contrary to shareholder value arguments, there is no evidence that mergers or layoffs returned industries to profitability.     

Multilevel estimation of normalization constants using ensemble Kalman–Bucy filters

Statistics and Computing - This paper presents tests to formally choose between regression models using different derivatives of a functional covariate in scalar-on-function regression. We...     

Beyond state-centrism? Space,territoriality, and geographical scale in globalization studies

Theory and Society -     

Stratified analysis of correlated binary outcome data: a comparison of model dependent and robust tests of significance

Model dependent and robust test statistics constructed using a generalized estimating equations extension of logistic regression applicable to the analysis of correlated binary outcome data are shown to have relatively simple algebraic expressions in stratified analyses where all variables are measured at the cluster level These expressions are used to demonstrate the close relationship to standard procedures which assume that subjects responses are independent, to prove that the asymptotic validity of model dependent test statistics is assured if the average correlation between cluster members is constant, and that this assumption can be relaxed when there are the same number of subjects in each cluster.     

The attraction to sexual aggression scale: Part two

In this second article of a two‐part series, data from three separate studies are presented supporting the reliability, discriminant, and construct validity of the Attraction to Sexual Aggression (ASA) scale. Higher scores on this scale were associated with attitudes supporting aggression against women, affective reactions to media portrayals of forced sex, physiological and self‐reported sexual arousal, hostility toward women, dominance motives, and antisocial personality characteristics. Based on data with low sexual aggressors, higher ASA scores were associated with greater similarity (on relevant dimensions) to high sexual aggressors, suggesting that ASA may help identify potentially sexually aggressive men at “risk” for future sexual coercion. However, caution in the use of such identification is urged. Finally, it is concluded that although the data support the usefulness of earlier work with self‐reported likelihood measures, the use of ASA is an improvement in this line of research. Directions for future development of this scale and research are also discussed.     

Information and the Likelihood Function in Exponential Families

A very strong relationship between the directed Kullback divergence and the likelihood function emerges simply and naturally in the context of exponential families. The directed Kullback divergence is an information-theoretic measure of the distance from one distribution to another.     

Binomial confidence limits adjusted for a confounding variable

A simple transformation of classical binomial confidence limits provides exact confidence limits in situations where a confounding variable is present. An example is the multiple-choice test, where a correct answer may represent either knowledge or guesswork, the latter being the confounding variable.     

Estimation of Weibull parameters from common percentiles

Estimation of Weibull distribution shape and scale parameters is accomplished through use of symmetrically located percentiles from a sample. The process requires algebraic solution of two equations derived from the cumulative distribution function. Three alternatives examined are compared for precision and variability with maximum likelihood (MLE) and least squares (LS) estimators. The best percentile estimator (using the 10th and 90th) is inferior to MLE in variability and to one least squares estimator in accuracy and variability to a small degree. However, application of a correction factor related to sample size improves the percentile estimator substantially, making it more accurate than LS.