This article is designed to give the reader a conceptual, nontechnical overview of estimation and model fit issues in multilevel modeling (MLM). The process of MLM generally involves fitting a series of multilevel models that increase in complexity. When conducting multilevel analyses, it is important to balance the need for complexity and the…

Prior research studies associated the employment of part-time faculty with student degree and/or certificate completion (Benjamin, 2002; Ehrenberg & Zhang, 2005; Jacoby, 2006; Leslie & Gappa, 2002; Umbach, 2008; Umbach & Wawrzynski, 2005). To date, institutional-level data have been utilized to investigate whether such employment…

Multilevel modeling (MLM), also referred to as hierarchical linear modeling (HLM) or mixed models, provides a powerful analytical framework through which to study colleges and universities and their impact on students. Due to the natural hierarchical structure of data obtained from students or faculty in colleges and universities, MLM offers many…

The organisational structure of universities follows particular models that distinguish them from other learning institutions. This research investigated the effect of the organisational structure on the management of universities in Uganda using a sample of 361, 44% of whom were members of academic staff, and the rest contained university top…

Multilevel modeling offers researchers a rich array of tools that can be used for a variety of purposes, such as analyzing specific institutional issues, looking for macro-level trends, and helping to shape and inform educational policy. One of the more complex multilevel modeling tools available to institutional researchers is cross-classified…

The sophisticated analytical techniques available to institutional researchers give them an array of procedures to estimate a causal effect using observational data. But as many quantitative researchers have discovered, access to a wider selection of statistical tools does not necessarily ensure construction of a better analytical model. Moreover,…

This article provides insights from a 2-year, cross-site evaluation of state funded developmental education sites and serves as a focus article for response by those sites. Receiving grants from the Texas Higher Education Coordinating Board (THECB), nine sites (5 community colleges and 4 universities) implemented innovative developmental education…

Understanding the suitability of multilevel modeling in the context of institutional research (IR) may ease the doubts of some IR professionals. However, the need for training on how to conduct and report multilevel modeling analysis remains. A major roadblock hindering the proliferation of multilevel modeling in IR is the perception that…

In most multi-campus studies of college impact that have been conducted over the past four decades, investigators have relied on ordinary least squares (OLS) regression as the analytic method of choice. Recently, however, some investigators have advocated the use of Hierarchical Linear Modeling (HLM), a method specifically designed for analyses…

The NEAIR (North East Association for Institutional Research) 2012 Conference Proceedings is a compilation of papers presented at the Bethesda, Maryland conference. Papers in this document include: (1) Can a Marketing Campaign Increase Response Rates to Online Course Evaluations? (Kimberly Puhala); (2) Developing Community College Peer…

This study examines the variables that are the most strongly associated with institutional prestige and reputation and presents an exploratory model. This research expands earlier efforts by including more recent data on larger populations of public and private universities, as well as on liberal arts colleges. The analysis draws upon data from…

The NEAIR (North East Association for Institutional Research) 2011 Conference Proceedings is a compilation of papers presented at the Boston, Massachusetts conference. Papers in this document include: (1) Are Students Dropping Out or Dragging Out the College Experience? The Roles of Socioeconomic Status and Academic Background (Leslie S. Stratton…

As a nation reliant on scientific and technological innovation for the health of our economy and national security, it is imperative that both educators and education policy create learning pathways that will successfully support current and future undergraduates in science, technology, engineering, and mathematics (STEM) disciplines.…

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)

Statistical modeling provides a method for colleges to use alumni-development information to create an equation predicting who is likely to respond positively to fund-raising appeals. This can make fund raising more cost-effective, provide higher returns on minimal investment, provide results quickly, and improve competitiveness. Resources…