The relationship between FTE enrollments and state appropriations to public four-year colleges and universities is a fundamental issue basic to numerous institutional and state policy decisions. Yet, the relationship is obscure and may have changed during the period from 1965 to 1982. Data for this dissertation were obtained from three sources. Enrollment data were obtained from the Higher Education General Information Survey (HEGIS) information as edited and entered onto computer data tape by the Center for the study of Higher Education (CSHE) at the University of Arizona. Appropriations data were obtained from the annual issues of M. M. Chambers' Appropriations of State Tax Funds for Operating Expenses of Higher Education as edited and entered onto computer data tapes at the CSHE. Variations in the reporting of these sources were obtained through a mail survey instrument. Appropriations data were adjusted for inflation using the national and regional Consumer Price Indices (CPI). The appropriations data were corrected so that all states are reported consistently for (1) tuition, (2) employee benefits, and (3) capital equipment. The edited enrollment and the corrected appropriations data were then regressed for two time periods (1965-77 and 1977-82). The results determined the nature of change in the enrollment/appropriation relationship over time. The results show that there does appear to be a relationship between enrollments and appropriations which is stronger for certain types of institutions. Nationally, the relationship in mean constant dollar appropriations per FTE enrollments has not undergone any radical changes. However, the slopes of the regression lines have undergone statistically significant changes from period 1 (1965-66 to 1976-77) to period 2 (1977-78 to 1982-83). Yet the regression coefficients did not decline in a major way over time for the national sample, for institutions by Carnegie Classification System or by state. Wide ranges of difference were found to exist among states. However, a considerable majority of 35 states and most Carnegie classification institutions did not demonstrate a significant change in the amount of constant dollar or adjusted funding per FTE student over time.

The problem with which this study is concerned is the methodology that is used to assess the relationship between student perceptions of the college environment and student attrition. The population of the study was 329 students from a metropolitan community college who took the Student Opinion Survey, a publication of the American College Testing Service. Data on course withdrawals and non-return in a subsequent long semester were collected for the student population. The data results were analyzed statistically using analyses of variance, Pearson product moment correlation, multiple regression analysis using step-wise procedures, and factor analysis. Data were considered statistically significant at the .05 level in relation to seven hypotheses on combinations of variables that include areas of student satisfaction with the college environment, student background data, course withdrawal, and non-return in a subsequent long semester.

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Typical public secondary school students seem unable to compete with distinguished public and elite private secondary school students when seeking admission to highly selective colleges. This study has identified the characteristics that distinguish college guidance and school-wide programs at public secondary schools perceived to be the strongest (distinguished) from other public secondary schools. School boards, public secondary school counselors, school administrators, and the communities they serve now have college guidance programs they can emulate to better prepare students for admission to highly selective colleges. / Ph. D.

In this thesis a prediction model using graduation rate as the performance indicator is obtained for community colleges for three cohort years, 2003, 2004, and 2005 in the states of California, Florida, and Michigan. Multiple Regression analysis, using an aggregate of seven predictor variables, was employed in determining this prediction model. From this prediction model, a predicted graduation rate was obtained for each of the 142 institutions in this study. Using this predicted graduation rate, an Institutional Performance Ratio (IPR), was then calculated for each institution, by dividing the actual graduation rate for each institution by its predicted graduation rate. These IPR values were then used to classify the performance of each institution as meeting expectation, exceeding expectation or falling below expectation. Inter institutional comparisons were also made using these IPR values. / by Susan Moosai. / Thesis (Ph.D.)--Florida Atlantic University, 2010. / Includes bibliography.

This study is concerned with the problem of determining the status of.specific student retention efforts at the departmental and institutional levels in institutions of higher education offering baccalaureate degrees in nursing. The purposes of the study include (1) the determination of the percentages of those institutions which have specific programs to increase student retention in place and functioning at the various administrative levels, (2) the determination of those aspects of the many possible retention efforts that are being utilized, (3) identification of those retention efforts which may be most effective, and (4) comparison of retention rates between those institutions with organized retention programs and those without these programs. The population of the study is composed of all 430 of the National League for Nursing (NLN) accredited, Registered Nurse Baccalaureate Degree programs in the United States. The specially designed survey instrument produced a 62 percent response return. Response frequencies and percentages were calculated to show the relative success rates of various retention efforts. In addition, the data were subjected to several statistical procedures to determine if there were statistically significant differences between the various types and levels of retention efforts. The findings indicate that the presence of an organized and functioning program to increase student retention does produce a statistically significant increase in the mean retention rate for those institutions with such programs as compared with those institutions without organized retention programs. This significant increase was constant across the three types or levels of retention programs surveyed (departmental level only, university level only, both university and departmental levels). The majority of the respondents (55.5 percent) do have retention programs in place and functioning at some level in their institutions. Of the six major areas of retention efforts listed on the questionnaire, the area dealing the "Administrative Activities" to increase student retention was present most often among that group of respondents with the highest retention rates.

Under the George W. Bush U.S. presidential administration, the federal government pushed for greater accountability among institutions of higher education for educational outcomes. Graduation rate is a key performance indicator of institutional accountability. Previous researchers of student attrition focused primarily on the effects of student level factors on student persistence/withdrawal behavior. Recently, researchers put more focus on the effects of institutional characteristics on graduation rates, but most of these studies were exploratory and based on multiple regression models. No institutional model has existed to synthesize their results within a theoretical framework. Such an institutional model is needed to explain the process of student persistence at the institutional level. The purpose of this study was to develop a model of institutional performance in graduation rate for four-year, public and private not-for-profit, Title IV institutions in the United States. This study validated the institutional model based on the IPEDS dataset using the structural equation modeling (SEM) technique. Further group comparison analyses are conducted by fitting the same SEM model to several subgroup datasets based on grouping variables such as control, geographical region and state. Benchmarking analyses were conducted to demonstrate how administrators and policy-makers can use the institutional model to compare the performance of an institution with its peers and what policy changes can they pursue to improve graduation rates.

Improving the retention and graduation of African Americans and other minority groups in higher education is an important but highly politicized issue on college and university campuses. Prior studies emphasize the relationship between minority retention and achievement, cultural diversity, and racial policies and climates at predominantly White colleges and universities in the United States. In response to the need for further research, the effects of institutional actions related to diversity, minority group and African American retention, and social integration initiatives on African American graduation rates were examined for a national sample of United States (U.S.) colleges and universities. From a potential list of 7,018 colleges and universities, 2,233 met the inclusion criteria for the study. But necessary and complete information from national directories and the census could only be found for the final sample of 1,105. After dropping 30 outliers, several multiple regression analyses identified the institutional actions, social, and demographic factors that best predicted graduation rates. Public U.S. colleges and universities located in the Midwest region had lower African American graduation rates than private colleges and universities located in the South. Higher African American graduation rates occurred in colleges and universities with Black cultural centers, higher first-year retention rates, higher women enrollment rates, a higher number of student organizations, and Division III athletic programs. Colleges and universities located in a town had higher African American graduation rates than those located in a city, suburb, or rural area.

Online courses in higher education have a reputation for having a lower course completion or retention rate than face-to-face courses. Much of this reputation is based upon anecdotal evidence, is outdated, or is on a small scale, such as a comparison of individual courses or programs of instruction. A causal-comparative analysis was conducted among 11 large, high research public universities. The universities were compared to each other to determine if differences existed between online and face-to-face course completion; undergraduate and graduation online course completion was analyzed for differences as well. The findings suggested the magnitude of the differences between online and face-to-face completions rates was small or negligible. The area which showed a higher magnitude of difference was in the comparison between undergraduate and graduate online course completion; the practical significance could be worth considering for educational purposes.

This study examined the relationship between selected student and institutional characteristics and the retention rates of first-time, degree seeking, full-time and parttime, freshman student cohorts in public community colleges in Florida. Based on data obtained from the Integrated Post-Secondary Data System on selected student and institutional variables for three years beginning fall 2005, 2006 and 2007, retention rates were analyzed for the years beginning fall 2006, 2007 and 2008 respectively. This quantitative non-experimental descriptive study relied on multiple regression to analyze aggregated data on eight predictor variables to determine their impact student retention rates. A moderating variable (institutional size) was used to determine its influence on the relationship between the predictor variables and the criterion variable. The results suggest that gender and age were positively related to student retention rate at the parttime level, academic support expenses were negatively related to student retention rates at the part-time and full-time levels, and institutional size moderated the relationship between certain predictor variables and retention rates at small institutions. / by Ancil DeLuz. / Thesis (Ph.D.)--Florida Atlantic University, 2011. / Includes bibliography. / Electronic reproduction. Boca Raton, Fla., 2011. Mode of access: World Wide Web.