Do gifted students adjust poorly to their social environment? There are currently two competing positions: one that sustains that giftedness is by itself a risk factor for social adaptation, and another that holds that high cognitive abilities involve distinctive features that are protective and hence increase individual resilience. Empirical…

Adolescents spend only a fraction of their waking hours in school and what they do with the rest of their time varies dramatically. Despite this, research on out-of-school time has largely focused on structured programming. The authors analyzed data from the Educational Longitudinal Study of 2002 (ELS:2002) to examine the out-of-school time…

Research Findings: This study investigated the effects of full- and half-day kindergarten programs on classroom instructional quality and children's academic achievement. Considerations were given for how the length of the school day, language status (English language learner [ELL] and non-ELL), and children's attendance patterns influenced…

Using cluster analysis this study investigated the characteristics of learning strategies learners use in online courses with one-on-one mentoring. Three distinct approaches were identified: "Mastery oriented", "Task focused" and "Minimalist in effort". Despite the widespread concern that students will have difficulty managing their time in online…

Based on a sample of 480 academically at-risk first graders, we used a cluster analysis involving multimethod assessment (i.e., teacher-report, peer-evaluation, and self-report) of behavioral and psychological engagement to identify subtypes of academic engagement. Four theoretically and practically meaningful clusters were identified and labeled…

Although many adolescents participate in sports and other types of organized activities, little extant research explores how youth development outcomes may vary for youth involved in different combinations of activities. The present study uses the Child Development Supplement of the Panel Study of Income Dynamics, a large, nationally…

The relationship between teacher experience, further professional development training, and beliefs and attributions about teaching students with additional learning support needs was studied in a sample of 199 mainstream general class primary school teachers. Using multiple regression, it was found that none of the teacher experience or…

The goal of this study was to illustrate survival analysis with higher education data and gain insight into a limited set of factors that predict when students passed their first-year examination at a Dutch university. Study participants consisted of 565 first-year students in four departments. Data were collected on when students pass their…

The purpose of this study was to examine the instructional effectiveness of different online reading strategies for students identified as possessing different learning styles, either internal or external locus of control styles, on tests measuring different learning objectives. Participants were 169 undergraduate students, randomly assigned to…

The current analyses of observational data found that oncoming traffic substantially affected driver stopping patterns and turn signal use at the target stop sign. The percentage of legal stops and turn signal use by drivers in the presence and absence of traffic was analyzed using a multi-element design. The results showed that legal stops were…

In General Linear Model (GLM) analyses, it is important to interpret structure coefficients, along with standardized weights, when evaluating variable contribution to observed effects. Although often used in canonical correlation analysis, structure coefficients are less frequently used in multiple regression and several other multivariate…

When approximately the same amount of variance can be reproduced with a larger variable set and a smaller variable set, researchers should generally choose the smaller variable set. The smaller set is a more parsimonious solution, and is therefore more likely to be true and replicable. Since true stepwise methods are not useful for variable…

Applying commonality analysis to canonical correlation analysis is part of a trend toward the use of multivariate statistical methods enhanced by the ease of computation provided by computer software. Several recent papers have discussed canonical commonality analysis. This paper summarizes developments in the field and uses a data set to…

This paper illustrates how canonical correlation analysis can be used to implement all the parametric tests that canonical methods subsume as special cases. The point is heuristic: all analyses are correlational, apply weights to measured variables to create synthetic variables, and require the interpretation of both weights and structure…

Canonical correlation analysis is a parsimonious way of breaking down the association between two sets of variables through the use of linear combinations. As a result of the analysis, many types of coefficients can be generated and interpreted. These coefficients are only considered stable and reliable if the number of subjects per variable is…