This article discusses the incorporation of biological content into existing calculus courses without significantly changing the courses. This is exemplified by the common laboratory course taken by students in all first semester calculus courses at Benedictine University. Several biologically oriented projects are implemented in this laboratory…

Since the publication of "A Nation at Risk: The Imperative for Educational Reform" by the U.S. Department of Education in 1983, American higher education has faced the need to develop its own effective means of learning assessment to forestall the prospect of government-imposed standardized procedures. The latter potential may have moved closed…

There is general agreement that meta-analysis is an important tool for synthesizing study results in quantitative educational research. Yet, a shared feature of many meta-analyses is a failure to report sufficient information for readers to fully judge the reported findings, such as the populations to which generalizations are to be made,…

The most recent data on stars orbiting Sagittarius A*, the black hole at the center of the Milky Way galaxy, have been used in an experiment undertaken by second-year university students to determine the distance R[theta] to the center of the galaxy. Students applied each of Kepler's 17th-century laws, in turn, to 21st-century data. The…

Normal theory maximum likelihood (ML) is by far the most popular estimation and testing method used in structural equation modeling (SEM), and it is the default in most SEM programs. Even though this approach assumes multivariate normality of the data, its use can be justified on the grounds that it is fairly robust to the violations of the…

For the past 25 years, methodological advances have been made in missing data treatment. Most published work has focused on missing data in dependent variables under various conditions. The present study seeks to fill the void by comparing two approaches for handling missing data in categorical covariates in logistic regression: the…

Increasing working memory (WM) capacity is often cited as a major influence on children's development and yet WM capacity is difficult to examine independently of long-term knowledge. A computational model of children's nonword repetition (NWR) performance is presented that independently manipulates long-term knowledge and WM capacity to determine…

A study of 3,000 school counselors was undertaken to assess their beliefs about necessary components of a school counseling program. This study was part of the database that the American School Counselor Association used to develop "The ASCA National Model: A Framework for School Counseling Programs." The School Counseling Program Component Scale…

In the literature of mean and covariance structure analysis, noncentral chi-square distribution is commonly used to describe the behavior of the likelihood ratio (LR) statistic under alternative hypothesis. Due to the inaccessibility of the rather technical literature for the distribution of the LR statistic, it is widely believed that the…

This paper presents learners' task results gathered by means of an example task-oriented environment for knowledge testing and processed by EXCEL. The processing is domain- and task-independent and includes automatic calculation of several important task and session's parameters, drawing specific graphics, generating tables, and analyzing the…

The present study used Canadian National Longitudinal data to examine a model of the mechanisms through which the effects of neighborhood socioeconomic conditions impact young children's verbal and behavioral outcomes (N = 3,528; M age = 5.05 years, SD= 0.86). Integrating elements of social disorganization theory and family stress models, and…

A calculational strategy presented in educational statistics texts for computing second and higher order semipartial correlations is critically examined and shown to be incorrect. (Author)

This book, which is designed for those already familiar with the basic principles of structural equation modeling (SEM), discusses the progress and unfolding of SEM since the 1990s. After a compact treatment of underlying theory, the author illustrates many such issues with a discussion of his own SEM research. (SLD)

In the modern world, higher education is transitioning from enrollment mode to recruitment mode. This shift paved the way for institutional research and policy making from historical data perspective. More and more universities in the U.S. are implementing and using enterprise resource planning (ERP) systems, which collect vast amounts of data.…

The importance of the principal has been found to be a critical factor in student and school success. School principal responsibilities traditionally encompass operations and management. However, many principals are unable to fulfill these expectations because of students' social and behavioral issues. Consequently, this qualitative study explored…