The meanings and motives for women's use of violence in Canadian college dating relationships: Results from a national survey

Data from a Canadian nationwide representative sample of 1,835 female college students were used to test a variety of propositions about women's use of violence in dating relationships. It has become progressively common in both Canada and the United States to argue that women are as violent as men. Although in a crude counting of violent acts these data confirm the contention that women commit a large number of such acts, a further investigation of the women's motives shows that a substantial amount of their violence was in self‐defense, or “fighting back.” The more these women had been victimized, whether physically or sexually, the more likely they were to report that they had used self‐defensive violence. The finding that a substantial amount of women's     

William Ramsdell Leonard 1904–1981

In this article, the corrected F statistic in the general linear model is shown to be algebraically equivalent to the corresponding statistic in the weighted least squares procedure, whenever the corrected F statistic exists. Hence, weighted least squares analysis is, in effect, a self-corrected F test procedure.     

Covariance Analysis for Split-Plot and Split-Block Designs

Commentaries are informative essays dealing with viewpoints of statistical practice, statistical education, and other topics considered to be of general interest to the broad readership of The American Statistician. Commentaries are similar in spirit to Letters to the Editor, but they involve longer discussions of background, issues, and perspectives. All commentaries will be refereed for their merit and compatibility with these criteria.

Proper methodology for the analysis of covariance for experiments designed in a split-plot or split-block design is not found in the statistical literature. Analyses for these designs are often performed incompletely or even incorrectly. This is especially true when popular statistical computer software packages are used for the analysis of these designs. This article provides several appropriate models, ANOVA tables, and standard errors for comparisons from experiments arranged in a standard split-plot, split–split-plot, or split-block design where a covariate has been measured on the smallest size experimental unit.     

A Review of Eight Statistics Software Packages for General Use

Eight statistical software packages for general use by non-statisticians are reviewed. The packages are GraphPad Prism, InStat, ISP, NCSS, SigmaStat, Statistix, Statmost, and Winks. Summary tables of statistical capabilities and “usability” features are followed by discussions of each package. Discussions include system requirements, data import capabilities, statistical capabilities, and user interface. Recommendations, based on user needs and sophistication, are presented following the reviews.     

Emotion recognition and emergent leadership: Unraveling mediating mechanisms and boundary conditions

This study examines the complex connection between individuals' emotion recognition capability and their emergence as leaders. It is hypothesized that emotion recognition and extraversion interactively relate with an individual's task coordination behavior which, in turn, influences the likelihood of emerging as a leader. In other words, we cast task coordination as a mediating mechanism in the joint relationship between emotion recognition and extraversion, on the one hand, and leader emergence, on the other. Study hypotheses were tested using multisource data from two diverse, independent samples. Study 1 supports the hypothesized relationships in a sample of student project teams in the Netherlands, and Study 2 constructively replicates the proposed model using student participants in an assessment center in the United States. These findings were obtained using a performance-based test of emotion recognition and controlling for a battery of known covariates.     

The black earnings gap: discrimination or culture

This paper explores the earnings gap between West Indians and African Americans that cannot be explained by observable characteristics and is often interpreted as a measure of discrimination or unobservable cultural endowments. The earnings gap advantage has lead to many perceptions and some unsubstantiated implications as to the reasons why West Indians perform better than African Americans in the labor market. This is an attempt to sort out the implications and to put the West Indian/African American earnings difference in prospective.     

A Sensitivity Analysis of the Social Vulnerability Index

The Social Vulnerability Index (SoVI), created by Cutter et al. (2003) , examined the spatial patterns of social vulnerability to natural hazards at the county level in the United States in order to describe and understand the social burdens of risk. The purpose of this article is to examine the sensitivity of quantitative features underlying the SoVI approach to changes in its construction, the scale at which it is applied, the set of variables used, and to various geographic contexts. First, the SoVI was calculated for multiple aggregation levels in the State of South Carolina and with a subset of the original variables to determine the impact of scalar and variable changes on index construction. Second, to test the sensitivity of the algorithm to changes in construction, and to determine if that sensitivity was constant in various geographic contexts, census data were collected at a submetropolitan level for three study sites: Charleston, SC; Los Angeles, CA; and New Orleans, LA. Fifty-four unique variations of the SoVI were calculated for each study area and evaluated using factorial analysis. These results were then compared across study areas to evaluate the impact of changing geographic context. While decreases in the scale of aggregation were found to result in decreases in the variance explained by principal components analysis (PCA), and in increases in the variance of the resulting index values, the subjective interpretations yielded from the SoVI remained fairly stable. The algorithm's sensitivity to certain changes in index construction differed somewhat among the study areas. Understanding the impacts of changes in index construction and scale are crucial in increasing user confidence in metrics designed to represent the extremely complex phenomenon of social vulnerability.     

Nearest neighbor hazard estimation with left-truncated duration data

Duration data often suffer from both left-truncation and right-censoring. We show how both deficiencies can be overcome at the same time when estimating the hazard rate nonparametrically by kernel smoothing with the nearest-neighbor bandwidth. Smoothing Turnbull’s estimator of the cumulative hazard rate, we derive strong uniform consistency of the estimate from Hoeffding’s inequality, applied to a generalized empirical distribution function. We also apply our estimator to rating transitions of corporate loans in Germany.