Examines the relationship between anger expression and stressful life events as predictors of depression among college students. Hierarchical multiple regression analyses indicated that anger directed inward and stressful life events were significant predictors of depression. Because these factors are independent and additive predictors,…

A method is proposed to simultaneously estimate regression functions and subject membership in "k" latent classes or groups given a censored dependent variable for a cross-section of subjects. Maximum likelihood estimates are obtained using an EM algorithm. The method is illustrated through a consumer psychology application. (SLD)

Uses a quantitative analytic procedure, logistic regression, to search for and identify critical attributes of race, highlighting the characteristics of American Indians that underlie poverty on Montana's seven reservations, with their varied tribal affiliations. Implications are drawn for the Food Distribution Program on Indian Reservations,…

Presents a latent Markov model in which the latent states are regressed on time-constant and time-varying covariates by means of a system-logit model. In an illustration, 541 secondary-school students' interest in physics at different times is explained by the time-constant covariate sex and the time-varying covariate physics grade. (SLD)

Uses data from the North Carolina End-of-Grade test of eighth-grade mathematics to estimate the achievement results on the scale of the National Assessment of Educational Progress (NAEP) Trial State Assessment. Uses linear regression models to develop projection equations to predict state NAEP results. (SLD)

Business students' academic records were analyzed using traditional (linear and nonlinear regression) and nontraditional (neural network) methods. Results demonstrated the value of using qualitative performance predictors such as neural networks in the graduate admissions process. (SK)

This paper discusses programs that clarify some statistical ideas often discussed yet poorly understood by students. The programs adopt the approach of demonstrating what is happening, rather than using the computer to do the work for the students (and hide the understanding). The programs demonstrate normal probability plots, overfitting of…

A group's average test score is often used to evaluate different educational approaches, curricula, teachers, and schools. Studies of group test scores over time often try to measure "value-added" by holding constant certain student characteristics such as race, parents' education, or socioeconomic status; however, the important…

The meta-regression analysis reveals that there is a strong tendency for discrimination estimates to fall and wage discrimination exist against the woman. The biasing effect of researchers' gender of not correcting for selection bias has weakened and changes in labor market have made it less important.

This is the third study in a line of inquiry whose purpose has been to develop a theoretical model of selected extra musical variables' influence on solo and small-ensemble festival ratings. Authors of the second of these (Bergee & McWhirter, 2005) had used binomial logistic regression as the basis for their model-formulation strategy. Their…

An investigation and extension of the Risk Assessment Scale for Prison (RASP-Potosi), an actuarially derived scale for the assessment of prison violence, was undertaken through a retrospective review of the disciplinary records of the first 12 months of confinement of a cohort of inmates entering the Florida Department of Corrections in 2002 and…

Previous studies of the relationship between body weight and wages have found mixed results. This paper uses a larger data set and several regression strategies in an attempt to generate more consistent estimates of the effect of weight on wages. Differences across gender, race, and ethnicity are explored. This paper finds that weight lowers wages…

Controversy exists regarding appropriate methods for summarizing treatment outcomes for single-subject designs. Nonregression- and regression-based methods have been proposed to summarize the efficacy of single-subject interventions with proponents of both methods arguing for the superiority of their respective approaches. To compare findings for…

Duchenne Muscular Dystrophy (DMD) is a neurogenetic developmental disorder that presents with progressive muscular weakness. It is caused by a mutation in a gene that results in the absence of specific products that normally localize to muscle cells and the central nervous system (CNS). The majority of affected individuals have IQs within the…

This article adapts a modification of Tamura's theoretical proposition and conducts a cross-country empirical investigation in an attempt to evaluate convergence on two different human capital proxies; namely enrollment rates and per capita researchers. The analysis considers three country groups at significantly different development levels:…