Many experimental designs in educational and behavioral research involve at least one level of clustering. Clustering affects the precision of estimators and its impact on statistics in cross-sectional studies is well known. Clustering also occurs in longitudinal designs where students that are initially grouped may be regrouped in the following…

In order to examine the effectiveness of instruction, the authors confront formidable statistical problems, including multivariate structure of classroom observations, longitudinal dependence of both classroom observations and student outcomes. As the authors begin to examine instruction, classroom observations involve multiple variables for which…

Purpose: The purpose of the paper is to present evidence on the impact of enterprise education on young people still at school in London, UK. The study was designed to measure the effect of participation in a Young Enterprise (YE) Company Program on young people's attitudes toward starting a business, and on their enterprise potential.…

Background: There is evidence showing that fundamental movement skills and physical activity are related with each other. The ability to perform a variety of fundamental movement skills increases the likelihood of children participating in different physical activities throughout their lives. However, no fundamental movement skill interventions…

Objective: This study examines in-agency and out-of-agency service provision to a sample of 243 foster children and their families. Method: Data come from a longitudinal study of 243 foster children and families served by non-profit agencies that were operating under either a performance-based, managed care purchase-of-service contract or a…

Benefits and limitations of structural equation models for multivariate experiments with incomplete data are presented. Examples from studies of latent variable path models of cognitive performance illustrate analyses with latent variables, omitted variables, randomly missing data, and nonrandomly missing data. (SLD)

When measuring the same variables on different occasions, two procedures for canonical analysis with stationary compositing weights are developed. Both methods are extended to allow for cohort sequential designs and a numerical illustration is presented. (Author/JKS)

Provides an overview of a longitudinal, prospective, multivariate adoption study of behavioral development and discusses the results of analyses of cognitive measures and environmental assessments as examples of the types of information that can emerge from a design of this sort. (Author/RH)

The problem of choosing the most efficient design (longitudinal, mixed longitudinal, or cross-sectional) to estimate polynomial parameters for time-structured data in educational and psychological research is considered. The comparison of efficiencies shows that the assumed degree of the polynomial is crucial for selecting the most efficient…

Missing data for a given cohort of students in a longitudinal study occurs for at least two reasons: either the student has moved or otherwise become unavailable for testing, or the cohort was not in the testing range at a given testing time. A developmental sampling for time of testing x cohort x grade research plan of testing is used to…

A statistical method has been developed for nested incomplete samples in a longitudinal study in which part of the sample has dropped out in such a way that the data have a nested pattern. A procedure which performed well in a Monte Carlo experiment was extended to a two-factor incomplete design with repeated measures on one factor. Methods…

This article describes the evolution of Raymond B. Cattell's data box (covariation chart), a synoptic conception of psychological data, from its introduction in 1946. Analytical techniques and related methodologies developed from this model by Cattell and other psychological researchers are discussed. (BS)