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…

Outliers are frequently found in data sets and can cause problems for researchers if not addressed. Failure to identify and deal with outliers in an appropriate manner may lead researchers to report erroneous results. Using a multiple regression context, this paper examines some of the reasons for the presence of outliers and simple methods for…

The purpose of this mixed-methods study was to determine if employing the writing-to-learn strategy known as a "Science Writing Heuristic" would positively effect students' science achievement, science self-efficacy, and scientific epistemological view. The publications "Science for All American, Blueprints for Reform: Project…

This paper concerns an empirical study carried out with a group of high school physics teachers engaged in the Module on relativity of a Master course on the teaching of modern physics. The study is framed within the general research issue of how to promote innovation in school via teachers' education and how to foster fruitful interactions…

This study explored the perceptions and perspectives of African American male students with regard to their experiences in a youth development initiative sponsored by a community-based organization. This examination aimed to ascertain the aspects of the program that, first, prompted the students to be a part of the initiative, but also those…

This paper presents a comprehensive usability study conducted within the context of a Europe-wide project. The design of the evaluated e-learning platform is based on an innovative approach to the education of young Europeans by integrating into the curricula of a Europe-wide network of 14 schools different state-of-the-art technologies in…

The term "innovation" is associated mainly with change in practice using educational technology. This paper explores the question of why innovations in online teaching and learning in higher education break down or deliver less than they promise: why they are so resource intensive, so prone to breakdown, and why they often fail to live…

Museums have become a crucible for questions of the role that traditional art and art history should play in contemporary art. Friedrich Nietzsche argued in the nineteenth century that museums can be no more than mausoleums for effete (fine) art. Over the course of the twentieth century, however, curators dispelled such blanket pessimism by…

The goals of this article are to elucidate trends and perspectives in the field of cognitive style research and to propose an integrated framework to guide future research. This is accomplished by means of a comprehensive literature review of the major advances and the theoretical and experimental problems that have accumulated over the years and…

Principles of scientific data accumulation and evidence-based practices are vehicles of professional enhancement. In this article, the author argues that a scientific knowledge base exists descriptive of the relationship between teachers' activities and student learning. This database appears barely recognised however, for reasons including (a)…

This dissertation addresses theory and practice of evaluation and assessment in university student affairs, by applying logic modeling/program theory to a case study. I intend to add knowledge to ongoing dialogue among evaluation scholars and practitioners on student affairs program planning and improvement as integral considerations that serve…

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…

Many univariate statistical methods assume that dependent variable data have a univariate distribution. Some statistical methods assume that the error scores are normally distributed. It is clear that the concept of data normality is an important one in statistics. This paper explains that, notwithstanding common misconceptions to the contrary,…

Considers the process of evaluating the interactivity of Web-based learning systems (WBLSs), adapting a heuristic approach usually employed for usability evaluations. Proposes a three-way model of interactivity, reports an evaluation using three different WBLSs, and concludes that heuristic evaluation provides a cheap, intuitive and practical…

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)