Objective: This study assesses the Adolescent Domain Screening Inventory (ADSI) to identify adolescents at high risk of substance use. Method: The sampling frame consisted of 26,781 surveys, and a secondary analysis was conducted. A random 25% sample was used, leaving 6,661 cases. Binary logistic regressions were run to determine the predictive…

In this study, the prevalence of attention-deficit hyperactivity disorder (ADHD) in kindergarten children in northeast Iran was investigated, and the criterion validity of Conners' parent-teacher questionnaire was evaluated through the use of clinical interviews. This study was a cross-sectional descriptive research project with children in…

A procedure modelling ideal classical and quantum gases is discussed. The proposed approach is mainly based on the idea that modelling and algorithm analysis can provide a deeper understanding of particularly complex physical systems. Appropriate representations and physical models able to mimic possible pseudo-mechanisms of functioning and having…

Thus far researchers have focused on computing average differences in student achievement between smaller and larger classes. In this study, the author focus on the distribution of the small class effects at the school level and compute the inconsistency of the small class effects across schools. The author use data from Project STAR to estimate…

This study assessed the effects of sampling breadth on technical features of word identification fluency (WIF), a tool for screening and monitoring the reading development of first graders. From a potential pool of 704 first-grade students, the authors measured both a representative sample (n = 284) and 2 other subgroups: those with low reading…

This study analyzed the reliability and validity of an indirect measure of clarity of feelings that is based on response latencies (RTs) of mood ratings. Fifty-two participants completed a laboratory session and an experience-sampling week with 6 measurement occasions per day. Shorter RT of mood ratings measured in the laboratory (but not…

A common problem in predictive validity studies in the educational and psychological fields, e.g. in educational and employment selection, is restriction in range of the predictor variables. There are several methods for correcting correlations for restriction of range. The aim of this paper was to examine the usefulness of two approaches to…

In a post-mortem study of item sampling, 1,050 examinees were divided into ten groups 50 times. Each time, their papers were scored on four different sets of item samples from a 150-item test of academic aptitude. These samples were selected using (a) unstratified random sampling and stratification on (b) content, (c) difficulty, and (d) both.…

Randomization should be employed whenever possible but the use of carefully controlled nonrandomized data to estimate causal effects is a reasonable and necessary procedure in many cases. (Author/BJG)

Objective: To use experience sampling method (ESM) to examine the impact of inattentive and hyperactive-impulsive ADHD symptoms on emotional well-being, activities and distress, cognitive impairment, and social functioning assessed in the daily lives of young adults. The impact of subjective appraisals on their experiences is also examined.…

Recent studies have used pretreatment analyses, termed competing stimulus assessments, to identify items that most effectively displace the aberrant behavior of individuals with developmental disabilities. In most studies, there appeared to have been no systematic basis for selecting the sampling period (ranging from 30 s to 10 min) in which items…

The utility of value-added estimates of teachers' effects on student test scores depends on whether they can distinguish between high- and low-productivity teachers and predict future teacher performance. This article studies the year-to-year variability in value-added measures for elementary and middle school mathematics teachers from five large…

When the precise basis of selection effect on correlation and regression equations is unknown but can be modeled by selection on a variable that is highly but not perfectly related to observed scores, the selection effects can lead to the commonly observed "overprediction" results in studies of predictive bias. (Author/PN)

The purpose of this paper is to show the effect of using a selection test on the average criterion score of the entering class. The correlation coefficient (times 100) is shown to be the percentage of improvement of using the selection test over what would happen on the average if the test were not used. A simple formula is developed for…