Despite frequent attempts to address educational changes and the roles of information and communication technology (ICT) in effecting changes in student learning, few have conceptually examined ICT implementation within a wider context of managing change in schools. Methodologically, it has been argued that ignoring the multilevel nature of the…

Youth who share a school and neighborhood often show similar levels of academic achievement, but some studies find all or most of this correlation is due to sorting (not causation). We analyze the National Education Longitudinal Survey (NELS) in three ways to decompose sorting versus causality: We first control for much richer measures of family…

The present study examined predictors of youth client retention in therapy in a large community-based sample. We used several conceptualizations of retention, including (a) "intake retention" (i.e., returned to treatment after intake session); (b) "mutual termination" (i.e., termination agreed upon by family and therapist), (c) "mean treatment…

The authors investigate published international business research in four international business journals over a 10-year period, 1995-2004: (a) patterns of coauthorship across regions, and (b) the relation between coauthorship patterns and the quality of international business (IB) articles. A cross-region coauthorship enhances the quality of an…

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…

Person fit is the degree to which an item response model fits for individual examinees. Reise (2000) described how two-level logistic regression can be used to detect heterogeneity in person fit, evaluate potential predictors of person fit heterogeneity, and identify potentially aberrant individuals. The method has apparently never been applied to…

In this note the Nearest Neighbour Index is investigated in three cases, linear, 2-dimensional and 3-dimensional. In each case the formula is investigated and the numerical values for the data points to be viewed as attracting each other, repelling each other or being randomly distributed are justified. Also, in each of the three cases mentioned…

We examined gender differences in the association between body mass index (BMI) and psychological well-being. Regression analysis involving 3,251 adults indicated that gender moderated the BMI-psychological well-being link. In follow-up analyses, higher BMI predicted lower psychological well-being only among women. When participants were…

Outliers are extreme data points that have the potential to influence statistical analyses. Outlier identification is important to researchers using regression analysis because outliers can influence the model used to such an extent that they seriously distort the conclusions drawn from the data. The effects of outliers on regression analysis are…

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…

This paper considers the use of commonality analysis as an effective tool for analyzing relationships between variables in multiple regression or canonical correlational analysis (CCA). The merits of commonality analysis are discussed and the procedure for running commonality analysis is summarized as a four-step process. A heuristic example is…

Suggests an alternative form of the quadratic model that has the same expectation function of the original model but has the useful feature that its parameters are interpretable. Provides examples of a simple regression problem and a nonlinear mixed-effects model. (SLD)

This study investigated the effects of personality on attitudes toward academic group work among a sample of 225 business students. Data were collected using pre-existing scales for measuring personality and attitudes toward academic group work. Specifically, the Neo-FFI scale was used to measure the five personality dimensions of openness,…

Using a model developed by Young (2000), this paper explores the relationship between performance in the Accounting Information Systems course, self-assessed computer skills, and attitudes toward computers. Results show that after taking the AIS course, students experience a change in perception about their use of computers. Females'…

There has been considerable debate in community colleges over the last forty years regarding the impact of increased use of part-time faculty (PTF) on student learning. It has been argued that part-time faculty fail to provide the same level of teaching quality as full-time faculty (FTF). The purpose of this study was to determine the impact of…