The internet has had a vast and pervasive effect on many industries. It has resulted in the creation of new industries and has overhauled the dynamics that governed existing industries. One of the most traditional industries that is now struggling to cope with the changes brought on by the internet is the industry of higher education. Students can…

This case study explores the use of "fangtan," a Chinese narrative method, in the investigation of problem gambling among Chinese international students. It provides a snapshot of the project context and an analysis on the importance of using narrative to explore sensitive topics. The case study covers practical elements of the…

This case describes the research process followed by two professors who chose to study student outcomes in our online accounting classrooms. Motivated by the discovery of a possible anomaly in classroom outcomes, we decided to look further. We thought the anomaly might be explained by student procrastination. If our perception proved true, the…

Exploratory Factor analysis is a research tool that can be used to make sense of multiple variables which are thought to be related. This can be particularly useful when a qualitative methodology may be the more appropriate method for collecting data or measures, but quantitative analysis enables better reporting. This case first gives a brief…

In 2013, Drs Allen and Adele Gottfried shared the Fullerton longitudinal data with us. The data provided a unique opportunity to investigate the intellectual development and the longitudinal relation between intelligence and academic achievement. Previous studies have seldom addressed the latent nature of intelligence and academic achievement.…

After completing my Master of Arts in Adult Education and Training in 2009, I decided to pursue my Doctor of Business Administration from the University of Phoenix. The objective of obtaining my Doctor of Business Administration was a major step toward fulfilling my long-term career goal to teach at the collegiate level. This case study presents…

The main goal of this study was to illustrate and provide some direction for dealing with the complexities of propensity score matching within different multilevel contexts. Special attention is given to how procedures typically applied in a non-hierarchical setting may be modified to properly reduce the expected bias in the estimated treatment…

[Slides] presented at AERA in Denver, CO in April 2010. In today's education climate, an enormous amount of pressure has been placed on states, school districts, and programs to produce graduates who are prepared to successfully enter, persist through, and graduate from the nation's universities and colleges. However, much of this research has…

Presented at the 11th International Conference on Education (ICE) in 2009. This presentation provides an overview of the College Board and its efforts to develop college readiness indicators. The information provided includes a conceptual overview of the indicators and the research and development components in the development and validation of…

Presented at the national conference for the American Educational Research Association (AERA) in 2010. This presentation examines the relationship between academic self-beliefs and outcomes.

Presented at the College Board Western Regional Office (WRO) Forum in San Diego in February 2009. This presentation explores SAT test validity and how it can be used to inform both advisement and placement at the national or institution level. Institutional validity can be measured using the Admitted Class Evaluation Service (ACES) which schools…

Presented at the national conference for AERA (American Educational Research Association) . This study examined whether there are distinct differences in the demographic characteristics, HSGPA, first-year college performance, and second-year college retention rates among students who have discrepant CR-W performance.

This book provides a clear introduction to widely used topics in bivariate and multivariate statistics, including multiple regression, discriminant analysis, MANOVA, factor analysis, and binary logistic regression. The approach is applied and does not require formal mathematics; equations are accompanied by verbal explanations. Students are asked…