The purposes of this study were (1) to identify the major functions and objectives of the Division of Higher Education at North Texas State University, (2) to determine the degree of importance of the functions and objectives as perceived by selected graduates, faculty, and administrators, and (3) to determine the perceived degree of financial support for these functions and objectives. Fourteen functions and objectives of the Division of Higher Education at North Texas State University were included in a questionnaire validated by a panel of five judges. The questionnaire was mailed to each of the respondents consisting of 151 graduates, fourteen faculty, and thirteen administrators randomly selected from the Division of Higher Education.

Short-to-medium projections were made of student semester credit hour enrollments for North Texas State University and the Texas Public and Senior Colleges and Universities (as defined by the Coordinating Board, Texas College and University System). Undergraduate, Graduate, Doctorate, Total, Education, Liberal Arts, and Business enrollments were projected. Fall + Spring, Fall, Summer I + Summer II, Summer I were time periods for which projections were made. A new regression analysis called "cycle regression" which employs nonlinear regression techniques to extract multifrequential phenomena from time-series data was employed for the analysis of the enrollment data. The heuristic steps employed in cycle regression analysis are similar to those used in fitting polynomial models. A trend line and one or more sin waves (cycles) are simultaneously estimated using a partial F test. The process of adding cycle(s) to the model continues until no more significant terms can be estimated.

The problems with which this study is concerned are to determine the applicability of the systems analysis process to educational settings and to provide data concerning the beliefs and attitudes of educators concerning educational computing. A questionnaire was used in a case study of a medium-sized Texas independent school district to measure the beliefs and attitudes of educators toward educational applications of computers. Chi-square goodness of fit tests that use specified frequencies were applied for each statement and each corresponding distribution of responses.