This paper analyzes the research performance evolution of a scientific institute, from its genesis through various stages of development. The main aim is to obtain, and visually represent, bibliometric evidence of the correlation of organizational changes on the development of its scientific performance; particularly, structural and leadership…

The methods and models for categorical data analysis cover considerable ground, ranging from regression-type models for binary and binomial data, count data, to ordered and unordered polytomous variables, as well as regression models that mix qualitative and continuous data. This article focuses on methods for binary or binomial data, which are…

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,…

UK-based teacher educators formed the core membership of the History of Education Society when it was founded in 1967, and they were frequent early contributors to the Society's journals. Given these origins, one might imagine that the history of teacher education would have featured more prominently in the pages of the first 40 volumes of the…

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…

This chapter presents a sophisticated approach for tracking student cohorts from entry through departure within an institution. It describes how a researcher can create a student tracking model to perform longitudinal research on student cohorts. (Contains 3 tables and 2 figures.)

A general research analysis model that can be used by colleges and universities is presented. The model may be useful to institutional leaders with no formal training in marketing and can assist in understanding the delicate interaction between activities and components critical to the overall marketing process. (Author/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)

A new model for administration of institutional research in small colleges is proposed as an alternative to the traditional centralized program model. Application of the model for two years suggests that its decentralized but integrated approach responds well to the institution's internal and external research needs. (MSE)

Drawing from research in the areas of education and sociology, the author has developed a rationale and three models for using students as teachers and counselors. That students taught and/or counseled by other students will benefit from the experience has been demonstrated in recent research, but the present proposal differs in that it does not…

The University of Toledo has applied a systems approach to the design of an academic program evaluation model. The systems approach seems to be the most appropriate because it emphasizes the whole system instead of component systems. Selected evaluation models are reviewed, Toledo's research paradigm is described, and the function of a university…

An institutional research model used at Washington University is outlined and other practical suggestions are offered to financial aid administrators inclined to conduct similar research. The original study assessed the effects of loans on students after leaving school. (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)

Regression analysis is one of the most frequently used statistical techniques in institutional research. Principles of least squares, model building, residual analysis, influence statistics, and multi-collinearity are described and illustrated. (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)