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King, Joe P.; Hernandez, Jose M.; Lott, Joe L., II – New Directions for Institutional Research, 2012
Multilevel modeling (MLM) gives researchers the ability to make inferences about organizations where nesting factors will bias results and the assumption of independence is not tenable. This article provides an overview of the variety of data sources that lend themselves to conducting institutional research (IR). It not only serves as a repository…
Descriptors: Institutional Research, Computer Software, Data Analysis, Inferences
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Klossner, David; Corlette, Jill; Agel, Julie; Marshall, Stephen W. – New Directions for Institutional Research, 2009
Putting data-driven decision making into practice requires the use of consistent and reliable data that are easily accessible. The systematic collection and maintenance of accurate information is an important component in developing policy and evaluating outcomes. Since 1982, the National Collegiate Athletic Association (NCAA) has been collecting…
Descriptors: College Athletics, Injuries, Decision Making, Data
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Thomas, Scott L.; Heck, Ronald H.; Bauer, Karen W. – New Directions for Institutional Research, 2005
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.)
Descriptors: Institutional Research, National Surveys, Sampling, Data Analysis