We examined longitudinal associations between individual leisure activities (television viewing, video viewing, computer games, listening to music, board games, musical instrument playing, reading, arts, crafts, socializing, clubs or scouts, sports, outdoor activities) and being overweight using logistic regression and latent class analysis in a…

Youth entering residential care possess significant emotional and behavioral needs; yet, it is uncertain whether these needs have remained constant or are changing over time. This study examined mental health variables from the admission files of 1,047 youth entering residential group home care in 1995 and 2004. Sequential logistical regression…

"Incorporation" in Further Education in England and Wales centralised policy control and implemented a per-pupil funding formula that promoted equity, in that colleges were paid more for enrolling "disadvantaged" students, and for performance, in that funding was contingent on retention and student success rates. This article…

Despite the existence of counseling dropout research, there are limited predictive data for counseling in training clinics. Potential predictor variables were investigated in this archival study of 380 client files in a university counseling training clinic. Multinomial logistic regression, predictive discriminant analysis, and classification and…

Although there is considerable interest in the impact of diverse policies affecting the biophysical outcomes in forests, gaining a substantial sample over time of forests under different institutional arrangements has been difficult. This article analyzes data from 46 forests located in six countries over time. In forests where policies have been…

Associations between multiple risks, emotion regulation skill, and basal cortisol levels were examined in a community sample of 69 African American youth (mean age = 11.30 years; 49% male) living in an urban setting. Multiple risks were assessed at Time 1 and consisted of 10 demographic and psychosocial risk factors including parent, child, and…

The predictors of student and teacher variables on the access to the general education curriculum of 19 students with intellectual and developmental disabilities were examined based on the observation data collected for a total of 1,140 minutes. Multilevel regression analyses were employed to analyze the data. The findings indicated that both…

This article focuses on understanding successful Latina/o college student retention at 4-year institutions. Deficit models fail to consider how Latina/o students use different forms of capital (i.e., social, cultural, economic, and human) in earning a degree. Using data from the UCLA's Cooperative Institutional Research Program, factors associated…

Little is known about the job strain of staff working in disability institutions. This study investigated the staff's job strain profile and its determinants which included the worker characteristics and the psychosocial working environments in Taiwan. A cross-sectional study survey was carried out among 1243 workers by means of a self-answered…

Commonality analysis is a method of decomposing the R squared in a multiple regression analysis into the proportion of explained variance of the dependent variable associated with each independent variable uniquely and the proportion of explained variance associated with the common effects of one or more independent variables in various…

Multiple regression is a useful statistical technique when the researcher is considering situations in which variables of interest are theorized to be multiply caused. It may also be useful in those situations in which the researchers is interested in studies of predictability of phenomena of interest. This paper provides an introduction to…

This paper presents an overview of logistic regression and illustrates the method with the data transformations that are conducted. It also discusses the interpretation of logistic regression results. To make the discussion more concrete, an analysis of a data set is presented in which logistic regression is used to predict the likelihood of a…

This paper discusses the importance of interpreting both regression coefficients and structure coefficients when analyzing the results of multiple regression analysis, particularly with correlated predictor variables. The concepts of multicolinearity and suppressor effects are introduced, along with examples from the previously published articles…

Uses a sample data set to describe in nonmathematical terms how to implement and interpret results from a best-subsets logistic regression using the Statistical Analysis System. (SLD)

Uses a heuristic example, data from K. Holzinger and F. Swineford (1939) to illustrate the "holdout" method to assess the generalizability of results in multiple regression. Regression weighted from one data subset are used to compare estimated dependent variable scores from the opposite subset. (SLD)