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Bingham, Frank G., Jr. – Journal of Marketing for Higher Education, 1993
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)
Descriptors: College Administration, Enrollment, Enrollment Influences, Higher Education

Yancey, Bernard D. – New Directions for Institutional Research, 1988
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)
Descriptors: Data Interpretation, Higher Education, Hypothesis Testing, Institutional Research

Frost, Susan H. – Innovative Higher Education, 1993
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)
Descriptors: Administrative Organization, Higher Education, Institutional Characteristics, Institutional Research
Wylie, Peter B. – Currents, 1999
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…
Descriptors: College Administration, Cost Effectiveness, Fund Raising, Higher Education

Martin, Dennis J. – Journal of Student Financial Aid, 1988
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)
Descriptors: Higher Education, Institutional Research, Models, Program Effectiveness

Hinkle, Dennis E.; And Others – New Directions for Institutional Research, 1988
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)
Descriptors: Data Interpretation, Higher Education, Information Utilization, Institutional Research

Bohannon, Tom R. – New Directions for Institutional Research, 1988
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)
Descriptors: Guidelines, Higher Education, Institutional Research, Least Squares Statistics

Moline, Arlett E. – New Directions for Institutional Research, 1988
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)
Descriptors: Data Interpretation, Higher Education, Institutional Research, Models

Jennings, Linda W.; Young, Dean M. – New Directions for Institutional Research, 1988
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)
Descriptors: College Planning, Higher Education, Institutional Research, Long Range Planning

Pondrom, Cyrena – New Directions for Institutional Research, 1981
An examination of recent experiences in the varied institutions of The University of Wisconsin System suggests valuable lessons regarding the impact of various approaches to faculty reduction. Principal provisions of retrenchment regulations are summarized. (Author/LB)
Descriptors: College Faculty, College Planning, Higher Education, Institutional Research
Wallhaus, Penny; Lach, Ivan J. – 1981
Designed for use by community college personnel, this handbook provides information necessary to conduct a study of the impact of a community college on the business volume and other economic aspects of the community. Section I explains models for assessing the following seven types of economic impact: (1) college-related local business volume;…
Descriptors: Community Benefits, Community Colleges, Economic Research, Institutional Research

Shaman, Susan M.; Shapiro, Daniel – New Directions for Institutional Research, 1996
Models for college and university Interinstitutional data sharing are redefined by examining the organization and activities of existing data-sharing groups across 11 dimensions: data-sharing purpose; nature of data-sharing structures; definer of process; calendar; scope of surveys; participant characteristics; source of data-sharing initiative;…
Descriptors: Classification, Data, Group Membership, Higher Education
Brown, Jerry W.; Service, Allan L. – CAUSE/EFFECT, 1979
The nature and form of useful management information in a variety of situations is discussed. It is suggested that questions posed by managers may determine the effectiveness of the management information system. Questions concerning demographic trends and enrollment declines are used to illustrate this point. (SF)
Descriptors: College Planning, Computers, Declining Enrollment, Higher Education

DeHayes, Daniel W.; Lovrinic, Joseph G. – New Directions for Institutional Research, 1994
An economic model for evaluating the cost performance of academic and administrative programs in higher education is described. Examples from its application at Indiana University-Purdue University Indianapolis are used to illustrate how the model has been used to control costs and reengineer processes. (Author/MSE)
Descriptors: College Administration, College Planning, Cost Effectiveness, Decision Making
Vogel, Douglas R.; Wetherbe, James C. – CAUSE/EFFECT, 1991
A methodology for developing a strategic, long-range organizational information architecture is described. The development of a plan to identify key categories of information to enhance decision making and operational productivity is detailed. Figures and tables detail the methodology's application at the University of Minnesota. (DB)
Descriptors: Decision Making, Higher Education, Information Management, Information Needs
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