We provide tools for identification and exploration of data with very large variability having power law tails. Such data describe extreme features of processes such as fire losses, flood, drought, financial gain/loss, hurricanes, population of cities, among others. Prediction and quantification of extreme events are at the forefront of the…

We analyzed a pool of items from an admissions test for differential item functioning (DIF) for groups based on age, socioeconomic status, citizenship, or English language status using Mantel-Haenszel and item response theory. DIF items were systematically examined to identify its possible sources by item type, content, and wording. DIF was…

Postdoctoral programmes have recently become an important step leading from doctoral education to permanent academic careers in the social sciences. This paper investigates the effects of a large and structured postdoctoral programme in the social sciences on a number of academic and non-academic outcomes of fellows. Propensity score matching is…

This study addresses the question: Do the kinds and amounts of pre-service education and preparation that beginning teachers receive before they start teaching have any impact on whether they leave teaching? We examine a wide range of measures of teachers' subject-matter education and pedagogical preparation. We also compare different fields of…

The need for hands-on computer laboratory experience in undergraduate and graduate statistics education has been firmly established in the past decade. As a result a number of attempts have been undertaken to develop novel approaches for problem-driven statistical thinking, data analysis and result interpretation. In this paper we describe an…

This study examined how the practice of prepublishing prompts used on the writing section of the Graduate Record Examinations® (GRE®) General Test impacts test-preparation behavior, test performance, test validity, and examinee perceptions of the value of prompt prepublication. Researchers imposed modest experimental control over how participants…

This paper describes the development, implementation, and evaluation of an automated system for predicting the acceptability status of candidate reading-comprehension stimuli extracted from a database of journal and magazine articles. The system uses a combination of classification and regression techniques to predict the probability that a given…