The current study explores the rate at which members of Lagos' "area boys" engage in drug and alcohol use, and determines the predictive roles of parental and neighbourhood characteristics in the gang patterns of psychoactive substance misuse behaviour. The study approached gang members (N = 129) aged from 18 to 38 years (M = 25.83, SD = 4.82)…

Different meanings of a verb are associated with different argument structures (subcategorization), which in this study are sentential complements (SC) and direct object (DO) arguments. Interaction between verbal meaning and argument structure is investigated at the production level using polysemous verbs in the absence (Norming Experiment) and…

Errorless academic compliance training is a graduated, noncoercive approach to treating oppositional behavior in children. In the present study, three teaching staff in a special education classroom were trained to conduct this intervention with three male students diagnosed with autism spectrum disorders. During baseline, staff delivered a range…

"Probability is a difficult concept to teach, because children and adults find it counterintuitive." This is impetus to consider the detailed planning of a set of lessons with a "mixed", in many senses, group of fourth graders. Can the use of prior experience, and the knowledge associated with that experience, make probability a concept that is…

Under the normative Expected Value (EV) model, multiple outcomes are additive, but in everyday worth judgement intuitive averaging prevails. Young children also use averaging in EV judgements, leading to a disordinal, crossover violation of utility when children average the part worths of simple gambles involving independent events (Schlottmann,…

Understanding counting rules is challenging for students; in particular, they struggle with determining when and how to implement combinations, permutations, and the multiplication rule as tools for counting large sets and computing probability. We present an activity--using ideas from the games of poker and pinochle--designed to help students…

Background: Substantial evidence suggests that a Five-Factor Model personality assessment generates a valid description of childhood individual differences and relates to a range of psychological outcomes. Less is known, however, about naturally occurring profiles of personality and their links to psychopathology. The current study explores…

The main aim of this article is to explore similarities and differences in the institutional features of private and state universities in the Italian higher education system and to assess whether graduating from a private university conveys advantages in the labour market. In the first part we use administrative data to describe the main…

The purpose of the current project is to explore the use of propensity scores to estimate the effects of interventions within randomized control trials, accounting for varying levels of implementation or fidelity. This work extends that of Jo and Stuart (2009) to settings with multiple or continuous measures of implementation. Rather than focus…

This study explored the relationship between successful guessing and latent ability in IRT models. A new IRT model was developed with a guessing function integrating probability of guessing an item correctly with the examinee's ability and the item parameters. The conventional 3PL IRT model was compared with the new 2PL-Guessing model on…

In this paper the authors present a new method for sample selection for scale-up experiments. This method uses propensity score matching methods to create a sample that is similar in composition to a well-defined generalization population. The method they present is flexible and practical in the sense that it identifies units to be targeted for…

Weather forecasting consists of two processes, model integration and analysis (data assimilation). During the model integration, the state estimate produced by the analysis evolves to the next cycle time according to the atmospheric model to become the background estimate. The analysis then produces a new state estimate by combining the background…

The San Francisco Unified School District (SFUSD) uses the Language and Literacy Assessment Rubric (LALAR) as the secondary measurement required by the No Child Left Behind (NCLB) Act to measure English proficiency of English language learners (ELLs). In this analysis, the Rasch model is used to identify whether the LALAR is a valid measurement…

This article is concerned with the question of whether the missing data mechanism routinely referred to as missing completely at random (MCAR) is statistically examinable via a test for lack of distributional differences between groups with observed and missing data, and related consequences. A discussion is initially provided, from a formal logic…

This paper explores the determinants of child labour vis-a-vis child schooling. It further examines the influence of non-governmental organisations (NGOs) which are engaged in social labelling, on the incidence of child labour and schooling trade-off. The empirical results show that the probability of child schooling increases as well as child…