Problems of the college or university that center around the people who use the institution's computers are examined. It is suggested that effective use of computers in higher education depends on how well the users and providers understand the constraints and problems of each information system. (Author/SF)

Advanced communication and computing technologies create new resources and new opportunities in expanded role relationships for institutional research. Approaches to impact analysis and the rates of future change are discussed. (Author/MLW)

Computer-based information systems have evolved from emphasizing data processing to providing full and flexible support for management. They have moved from providing mere data to providing a medium for representing knowledge wherein managers can analyze data, formulate ideas, structure arguments, and building models. (Author/MLW)

The politics of information on college campuses are seen in national, regional, and statewide concern with planning, management, and evaluation. Concepts, methods, and information-processing styles in each of these three institutional functions have been greatly influenced by political pressures in the past 15 years. (Author/MLW)

Proprietary software available to the institutional researcher is discussed. It is suggested that as more institutions use proprietary software, the institutional researcher may find that varying levels of involvement in the process of evaluating and acquiring such software can result in the availability of more useful facilities. (Author/SF)

Advancements and trends in administrative computing are discussed and their implications for management are examined. Trends in software and hardware development as well as cost and capability are also investigated. Sources of information on computer development, including publications and organizations, are listed. (Author/SF)

The Total Quality Management approach is used as a framework for a discussion of methodological issues related to diversity in higher education, including classification of race and ethnic information, data aggregation, and use of several key indicators (access to college, persistence, and student progress). (MSE)