Colleges and universities in the United States are being challenged to assess student outcomes and the quality of programs and services. One of the more widely used sources of evidence is student engagement as measured by a cluster of student engagement surveys administered by the Center for Postsecondary Research at Indiana University. They…

Although institutional researchers devote a great deal of time mining and using student data to fulfill mandatory federal and state reports and analyze institutional effectiveness, financial and personnel information is also necessary for such endeavors. In this article, the authors discuss the challenges that arise from extracting data from…

Provides information regarding the National Educational Longitudinal Study database that was used for many of the studies in this volume. Provides relevant background and instructions so that others may use this resource from the National Center for Education Statistics. (Author/EV)

As a tour de force, data mining is likely to gain wider use in the next few years. To facilitate this transition, we make several recommendations addressed to both institutional research professionals and the Association of Institutional Research.

The widespread use of comparative data can lead to problems on a campus unless the data are systematically incorporated in the institutional planning cycle. A model has been developed to alleviate a number of problems and increase the power of comparison as a management tool. (MSE)

The ultimate goal of the institutional researcher is not always to test a research hypothesis, but more often simply to find an appropriate model to gain an understanding of the underlying characteristics and interrelationships of the data. Exploratory data analysis provides a means of accomplishing this. (Author)

Examines the theoretical basis for data mining, one of the essential knowledge management processes, and uses a case study to describe its application and impact. (EV)

Institutional comparison groups can be selected in several ways, depending on the comparison issue. The method chosen involves both technical and political considerations. (Author/MSE)

The data collected in higher education research are not always quantitative or continuous. Statistical methods using the log-linear model provide the institutional researcher with a powerful set of tools for addressing research questions when data are categorical. (Author/MSE)

Path analysis and linear structural relations (LISREL) provide the institutional researcher with some extremely powerful statistical tools. However, they must be applied and interpreted carefully with a full understanding of their limitations and the statistical assumptions on which they are based. (Author)

The authors examine the college conditions that contribute to character development, using data from the National Survey of Student Engagement (NSSE). (Contains 4 tables and 5 figures.)

Institutional researchers frequently use national datasets such as those provided by the National Center for Education Statistics (NCES). The authors of this chapter explore the adjustments required when analyzing NCES data collected using complex sample designs. (Contains 8 tables.)

This chapter explores how multiple approaches including data mining can help examine how the lengths of student enrollment are associated with varying numbers of advanced placement units. (Contains 3 tables and 5 figures.)

Data on which to base interinstitutional comparisons can be obtained directly from institutions or from a variety of secondary and tertiary sources such as national surveys, statistical publications, newsletters, directories, and organizations. Lists of these sources are included. (MSE)

This article proposes that the task of providing useful information for deans and department heads has major implications for the role and preparation of college and university institutional researchers. Six areas for consideration are examined: local needs assessment, data integrity and interpretation, collaboration, skills and knowledge bases,…