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Pike, Gary R.; Rocconi, Louis M. – New Directions for Institutional Research, 2012
Multilevel modeling provides several advantages over traditional ordinary least squares regression analysis; however, reporting results to stakeholders can be challenging. This article suggests some strategies for presenting complex, multilevel data and statistical results to institutional and higher education decision makers. The article is…
Descriptors: Learner Engagement, Least Squares Statistics, Critical Thinking, Student Characteristics
Toutkoushian, Robert K. – New Directions for Institutional Research, 2008
Many public university systems rely on their own institutional research (IR) offices, in addition to the IR offices from their member institutions, to help conduct the work of the university system. In this chapter, the author illustrates the type of work conducted by system-level IR offices using a nontraditional data source that can be used to…
Descriptors: Higher Education, Institutional Research, Long Range Planning, Educational Trends
McClintock, Patricia J.; Snider, Kevin J. G. – New Directions for Institutional Research, 2008
There is almost nothing more frustrating to an institutional researcher than seeing university leaders ignore data. The case study in this article examines how an institutional research office was able to put data to work in enrollment services and produce record-setting numbers of applications, admissions, and confirmations within a nine-month…
Descriptors: Institutional Research, Recruitment, Case Studies, Decision Making