This study sought to develop a regression model to predict maximal oxygen uptake (VO[subscript 2max]) based on submaximal treadmill exercise (EX) and non-exercise (N-EX) data involving 116 participants, ages 18-65 years. The EX data included the participants' self-selected treadmill speed (at a level grade) when exercise heart rate first reached…

Associations of peer victimization with adolescent depression and social phobia (SP), while controlling for comorbidity between them, have not been sufficiently explored in earlier research. A total of 3156 Finnish adolescents aged 15-16 years participated in a survey study. Self-reported peer victimization, as well as self-reported depression…

Building on research that links gender to differences in well-being and differences in stress exposure and vulnerability, the current study examines how coping styles are gendered in ways that may contribute to sex differences in depressive symptoms and delinquent behavior. The study disaggregates stress measures to reflect gender differences in…

Objective: This study examines the influence of therapist and youth characteristics on post-discharge outcomes from intensive in-home therapy. Method: Data for 1,416 youth and 412 therapists were obtained from a behavioral health services provider. The Huber-White method was used to account for nested data; ordered logistic regression was employed…

Little is known about individual and situational factors that moderate the efficacy of personalized feedback interventions (PFIs). Mandated college students (N = 348) were randomly assigned either to a PFI delivered in the context of a brief motivational interview (BMI; n = 180) or to a written PFI only (WF) condition and were followed up at 4…

Purpose: To examine the predictive ability of preadmission variables on United States Medical Licensing Examinations (USMLE) step 1 and step 2 performance, incorporating the use of a neural network model. Method: Preadmission data were collected on matriculants from 1998 to 2004. Linear regression analysis was first used to identify predictors of…

The authors examined the robustness of multilevel linear growth curve modeling to misspecification of an autoregressive moving average process. As previous research has shown (J. Ferron, R. Dailey, & Q. Yi, 2002; O. Kwok, S. G. West, & S. B. Green, 2007; S. Sivo, X. Fan, & L. Witta, 2005), estimates of the fixed effects were unbiased, and Type I…

The study describes the effects of formal instruction (FI) and a stay abroad (SA) on the fluency displayed by 19 bilingual EFL undergraduate non-native speakers (NNSs). It includes data from 10 native speakers (NSs). The relative frequencies of seven dysfluency phenomena at three data-collection points are compared statistically, and a linear…

Community colleges currently enroll about 44% of the undergraduate students in the United States and are rapidly expanding. It is of critical importance to obtain direct evidence of student learning to see if students receive adequate training at community colleges. This study investigated the 10-year trends of community college students' (n =…

Every year 1.3 million U.S. high school students drop out of school with one quarter of female students failing to graduate on time. Female dropouts are more likely to be unemployed, to earn less when they are employed, to become pregnant before the age of 20, to become obese, to smoke, and to drink more heavily than their male counterparts. This…

Prior research has demonstrated gaps in the academic success of college student subgroups defined by race/ethnicity, income, and gender. We studied trends over time in the success of students in these subgroups in particular first-year college courses: English Composition I, College Algebra, social science courses, and Biology. The study is based…

The United States has become more ethnically diverse, and this trend is projected to continue. Despite an increase in minority group enrollment on campus in the United States during the last decade, their rates of degree completion are not keeping pace (NCES, 2007). The question that remains to be answered is: What factors are unique to minority…

Student evaluations to measure the teaching effectiveness of instructor's are very frequently applied in higher education for many years. This study investigates the factors associated with the assessment of instructors teaching performance using two different data mining techniques; stepwise regression and decision trees. The data collected…

This Brief summarizes a study that addresses the impact of remedial and developmental courses on students with a range of levels of preparedness. Using longitudinal data from Tennessee, the authors estimate the effects of placement into varying levels of mathematics, reading, and writing courses for students attending public two- and four-year…

The Maine Department of Education wanted to use longitudinal data from its data system to better understand whether and how student and school characteristics are associated with student performance on the state-mandated Maine High School Assessment (MHSA). It was particularly interested in understanding the factors associated with changes in test…