The author examined the impact of environmental education lessons in a study that compared activities conducted in the schoolyard with traditional classroom activities involving elementary school boys and girls. Participants were 109 4th- and 5th-grade students. Researchers conducted a 2 (group: traditional/treatment) X 2 (gender) multivariate…

This exploratory analysis uses multiple regression modeling to help shed light on the correlates of the Black achievement gap in Montreal's public and private secondary schools. Using school-level testing data from Quebec's Ministry of Education, the authors show that there is a Black achievement gap, and that this gap is highly associated with…

Background: The project work (PW) initiative was launched in 2000 by the Ministry of Education, Singapore, to encourage application of knowledge across disciplines, and to develop thinking, communication, collaboration, and metacognitive skills. Although PW has been introduced for a few years, few studies have examined the motivation of students…

By centralizing the issue of test fairness in language proficiency assessments, this study responds to a call by researchers for developing greater social responsibility in the language testing agenda. As inquiries into language attitude and psychology indicate, there is an underlying uncertainty pertaining to the validity of test use and score…

This document was produced by the authors based on their research for the report "Building the Capacity to Innovate: The Role of Human Capital," and is an added resource for further information. This document contains the following appendices: (1) Survey methodology; (2) Synopsis of the literature; (3) Interview questions; and (4) Survey…

This study investigated an innovative approach of program evaluation through analyses of student learning logs, demographic data, and end-of-course evaluation surveys in an online K-12 supplemental program. The results support the development of a program evaluation model for decision making on teaching and learning at the K-12 level. A case study…

Recent advancements in technology have changed the way educators teach and students learn (Wells, Fieger & Lange, 2005). In the last decade, educational trends have progressed towards online and blended instruction. One key in this revolution is the development of the Learning Management System (LMS); software that enables the management and…

The purpose of this study was to obtain Science faculty concerns and professional development needs to adopt blended learning in their teaching at Taibah University. To answer these two research questions the survey instrument was designed to collect quantitative and qualitative data from close-ended and open-ended questions. The participants'…

K-means cluster analysis is known for its tendency to produce spherical and equally sized clusters. To assess the magnitude of these effects, a simulation study was conducted, in which populations were created with varying departures from sphericity and group sizes. An analysis of the recovery of clusters in the samples taken from these…

An extension of multiple correspondence analysis is proposed that takes into account cluster-level heterogeneity in respondents' preferences/choices. The method involves combining multiple correspondence analysis and k-means in a unified framework. The former is used for uncovering a low-dimensional space of multivariate categorical variables…

This paper briefly explains the logic underlying the basic calculations employed in canonical correlation analysis. A small hypothetical data set is employed to illustrate that canonical correlation analysis subsumes both univariate and multivariate parametric methods. Several real data sets are employed to illustrate other themes. Three common…

This paper describes two BASIC computer programs that calculate Hotelling's T-square either for one sample or for two samples. Output of the progams includes the Mahalanobis distance D-square, the F ratio associated with T-square, and its probability level. (Author)

Several methods for quantifying categorical multivariate data (including multiple correspondence analysis and optimal scaling) are discussed and shown to be equivalent. The method can be applied by variable matrix with categorical variables, by item matrix of multiple-choice data, or by a multi-way contingency table. (NSF)

Orthogonal rotation of canonical variates is shown to preserve the major properties of the canonical solution and may increase its interpretability. Empirical illustrations are given. (Author/HG)

This paper explains the theory and methodology behind the use of variable deletion in canonical correlational analysis (CCA). Both the Capraro and Capraro (2002) and the Cantrell (1997) data tables are evaluated and explained in order to clarify strategies utilized. Understanding of variable deletion strategies and their proper usages in a CCA…