This study develops a comprehensive theoretical framework regarding the evolution of the class divide in postsecondary education. I conceptualize three prototypes of class inequality--effectively maintained, declining, and expanding--and associate their emergence with the level of competition in college admissions. I also unearth the twin…

Grounded conceptually in social cognitive theory, this research examines how personal, behavioral, and environmental factors are associated with risk perceptions of anabolic-androgenic steroids. Ordinal logistic regression and logit log-linear models applied to data gathered from high-school seniors (N = 2,160) in the 2005 Monitoring the Future…

Objective: To examine developmental and behavioral status of children in child welfare (CW) over time, by intensity of CW involvement using a national probability sample. Methods: As part of the National Survey of Child and Adolescent Well-being (NSCAW), data were collected on 1,049 children 12-47 months old investigated by CW agencies for…

Research Findings: Recent evidence suggests that children benefit from pre-K programs in terms of both academic and social skills and that this growth is predicted by the quality of the interactions teachers have with students. Prior cluster analysis revealed 5 distinct quality profiles of teacher-child interactions in pre-kindergarten based on…

The prevalence of betel nut chewing among junior high school students is highest in the eastern region of Taiwan (Lin, 1990). Although there is some research on the prevalence rate, little effort has been paid to developing a classification of betel nut chewing behavior applicable to adolescents. Eight-hundred and forty-three students, including…

It is a false, but common, belief that statistical significance testing evaluates result replicability. In truth, statistical significance testing reveals nothing about results replicability. Since science is based on replication of results, methods that assess replicability are important. This is particularly true when multivariate methods, which…

The redundancy statistic (Rd) is discussed in relation to canonical correlation analysis. The index is a measure of the variance of one set of variables predicted from the linear combination of the other set of variables. A small data set (N=6) from the work of D. Clark (1975) was analyzed using SPSS-X. Two sets of two variables each were…

This paper suggests that multivariate analysis techniques are very important in educational research, and that one multivariate technique--canonical correlation analysis--may be particularly useful. The logic of canonical analysis is explained. It is suggested that a backward variable elimination strategy can make the method even more powerful, by…

All parametric methods are special cases of canonical correlation analysis and can, in fact, be performed using the canonical correlation procedures found in commonly available computer statistics packages such as the Statistical Analysis System (SAS) software. It is suggested that canonical analysis has advantages of versatility since it can…

Planned comparisons have been known for several years. Due to the availability of computers, these comparisons have become a more viable alternative to post hoc testing. There are several different types of planned comparisons that can be performed. Research goals must be well thought out when using planned comparisons, since the appropriate…

Canonical correlation (CC) analysis is discussed with a view toward providing an intuitive understanding of how the technique operates. CC analysis entails calculation of one or more sets of canonical variate coefficients (CVC), i.e., weights which can be applied to the variables in a study. A canonical function (CF) always consists of exactly two…

Designed to provide comparative analyses which could be employed as a basis for judicious program selection and use of generally available canonical correlation computer programs. (RC)

Describes how the test statistic for nonparametric one-way multivariate analysis of variance can be obtained by submitting the data to a packaged computer program. Monte Carlo evidence indicates that the nonparametric approach is advantageous under certain violations of the assumptions of multinormality and homogeneity of covariance matrices.…