This chapter discusses the evolution of the critical quantitative paradigm with an emphasis on extending this approach to new populations and new methods. Along with this extension of critical quantitative work, however, come continued challenges and tensions for researchers. This chapter recaps and responds to each chapter in the volume, and…

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,…

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…

Among the varied analytical challenges institutional researchers face, examining faculty pay may be one of the most vexing. Although the literature on faculty compensation analysis dates back to the 1970s (Loeb and Ferber, 1971; Gordon, Morton, and Braden, 1974; Scott, 1977; Braskamp and Johnson, 1978; McLaughlin, Smart, and Montgomery, 1978),…

Discusses how the selection of variables used in the salary model, and the functional form of the salary model, can influence the findings from an institutional salary-equity study. Also demonstrates how an institution's salary model can be used to identify pay disparities for individual faculty members. (EV)

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)

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…

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)

Increasing demands for accurate forecasts in such areas as student enrollment, energy expenditures, and facility capacity are placing new demands on the institutional researcher. A variety of forecasting models and methods are available, all to be used with caution in long-range forecasting. (Author/MSE)

Graphics, survey research, and multivariate statistical techniques were applied at a private liberal arts college to help development professionals better understand and predict alumni giving behavior, on both an aggregate and an individual basis. (Author)

This chapter describes how an action research framework facilitates using evaluation and assessment results to improve programs and demonstrate institutional effectiveness. (Contains 1 table.)

The conceptual and technical problems that need to be considered when studying graduate student retention and degree progress are examined, and practical suggestions for the institutional researcher are offered. Terms are defined, retention measures are explained, and different types of analysis are outlined. Ideas are given for database…