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The aim of this paper is to determine whether or how academic libraries affect student achievement.

The paper uses computation of Pearson's r coefficients and predictor values for correlations of academic library statistics with first‐year retention and six‐year graduation rates reported to the Integrated Postsecondary Education Data System by Southern Regional Education Board four‐year colleges and universities in 2010.

Book collection size in doctoral university libraries has the strongest correlation with retention and graduation rates, in the sample, and predicts for every 10 percent increase a 0.5 percent improvement in retention and a 0.7 percent higher graduation rate.

The paper documents the first impact study to correlate library statistics with both retention and graduation rates from a large sample of doctoral, Masters' and bachelors' degree‐conferring institutions. It calculates 21 predictor values of interest to academic administrators.

This research examine participation in a dual enrollment program and a student's race and socioeconomic status. In addition to examining the college retention and graduation rates (student success) of dual and non-dual enrolled students, this study looked at potential race and socioeconomic disparities.

A quantitative ex post facto research design using logistic regression was used to analyze data from the University System of Georgia (N = 28,664) to determine the relationships between participation in a dual enrollment program, students' race and socioeconomic status and their retention and graduation.

Findings from this quantitative study indicated that the predictor variables dual enrollment participation, race and socioeconomic status were significant in predicting retention and graduation outcomes.

This study adds to existing research indicating that students from different races and socioeconomic statuses, who participated in a high school dual enrollment program, are being retained beyond the first year in college and graduating at higher rates than non-dual enrolled students.

As young people are seeking degrees that will help them with employment and as universities seek ways to increase enrollment and retention, the emphasis of the value of higher education has emerged as an important aspect in achieving these goals. The focus of this particular study, where a paucity currently exists, was to examine the concepts of value in relation to undergraduate business education. A main aim of this study was to identify values (beyond economic), based on time since graduation, and the motivating factors that help to define those values. One of the key trends this study revealed was a cross-generational assessment of value.

The driving research question was regarding business undergraduate alumni's perceptions of value: Is there a relationship (based on time since graduation) in the value of an undergraduate degree? The Final Revised Survey was sent to 945 business college alumni, randomly selected from a list of 15,012 names. Quantitative data were disaggregated by groups: 0 = 3 years post-graduation (recent graduates), >3 = 6 years post-graduation (advanced graduates), >6 = 9 years post-graduation (experienced graduates) and >9 years (senior graduates) for analyses using Independent Samples T-Test, Simple Linear Regressions and Pearson's r Correlations tests.

Results of the Pearson's r Correlation tests showed significant findings in terms of strength of relationship between variables involved the following: (1) gender and average motivation (0.004) (2) time since graduation and average commitment (0.047), (3) gender and average value (0.045) and (4) age and average value (0.036). This suggests that gender has the strongest relationship between variables. Also, age and time since graduation seem to be correlated to how alumni value their undergraduate education and are willing to commit to continuing to support an organization. The averages of three types of groups of continuous data (value, motivation and commitment) were analyzed as the results related to ethnicity and time since graduation. When comparing ethnic outcomes based on two categories, non-Caucasian and Caucasian, although there were fewer respondents in the non-Caucasian category, those individuals' perception of value, motivation and commitment rated higher (8.87, 7.71 and 5.83 respectively) than their Caucasian counterparts (8.41, 6.58 and 4.96 respectively). Additionally, it is interesting to note that for both groups, the average commitment score was the lowest out of the three for both groups. Finally, for Caucasians, time since graduation seemed to increase their perception of value of their undergraduate business degree. Whereas, for non-Caucasians, the perception of value was less. This specific result could be since in the age group for non-Caucasians seven of the eight respondents were in the = 47 age group.

Results rested limited to opinions of undergraduate business alumni. Because the rate of return for the data results was limited, it is unlikely that a firm argument can be made solely on the results from the Pearson's r Correlation in terms of a conclusion for the research question for this study. However, based on the results of this study the responses can be generalized to the respondents, not the overall population. Therefore, the Null Hypothesis was rejected as preliminary findings, with the understanding that additional data could change this decision.

Practitioners (instructors and professional staff) in higher education can utilize the results of this study to align their decision making and engagement actions. For example, as the work of Starrett (2018) shows, in and out of classroom engagement, approachability and the ability to determine what their clients, (future students) are ways that practitioners can help to increase retention rates. For practitioners and policymakers alike, it is important that they work together to understand what today's potential students are looking for in their educational experience. In the past, extrinsic values such as fancy dorms and athletic facilities may have been key considerations. However, as this study has shown, today's potential students are seeking more intrinsic values from their college experiences such as a deeper connection with faculty and staff, a feeling of inclusion and belonging and commitment, on the part of a university, to their long-term success. Additionally, it is vitally important that both groups work together because everyone who works in higher education has a level of responsibility for enrollment and retention rates. This study provides information that will enable both groups to begin to meet those goals.

Social implications from this study surround better understanding of current and potential college students determine the value of higher educational degrees. Practitioners (instructors and professional staff) in higher education can utilize the results of this study to align their decision making and engagement actions. For example, as the work of Starrett (2018) shows, in and out of classroom engagement, approachability and the ability to determine what their clients, (future students) are ways that practitioners can help to increase retention rates. It is important that all work together to understand what today's potential students are looking for in their educational experience. In the past, extrinsic values such as fancy dorms and athletic facilities may have been key considerations. However, as this study has shown, today's potential students are seeking more intrinsic values from their college experiences such as a deeper connection with faculty and staff, a feeling of inclusion and belonging and commitment, on the part of a university, to their long-term success. Additionally, it is vitally important that both groups work together because everyone who works in higher education has a level of responsibility for enrollment and retention rates. This study provides information that will enable both groups to begin to meet those goals.

This information is important to universities because the results can act as a guide to aid them in revising their current individual recruitment and retention models for accuracy and relevancy. While a review of the current literature showed an abundance of theoretical information about economic value, it also showed a deficit in connecting alternative meanings of value as it relates to the university selection and commitment process. This study called attention to the need to examine this area to clarify higher education's other values to society.

Graduation rates are commonly used to assess the quality of higher educational institutions. While universities strive to produce as many graduates as possible, maintaining the right balance between the number of new students enrolled and the number who graduate each year has become a challenge in the past few decades. Timely graduation is often disregarded because a large majority of the students do not graduate within the stipulated time. The purpose of this paper is to analyze the factors associated with timely degree attainment.

The data for this study were obtained from records maintained by Registrar Office, Prince of Songkla University, Pattani Campus, Thailand. The final sample comprised 1,330 undergraduate students enrolled at four major faculties in 2009. A multivariate logistic regression model was applied to explain the effects of independent variables on timely graduation.

About 81.0 percent had completed their degree program within the stipulated time. The results indicated that faculty, first-semester grade point average, gender and place of residence were significantly associated with timely graduation.

Findings from this study may serve as a guide to higher educational institutions in identifying the underlying factors, and accordingly develop programs to enhance on time degree completion rates.

The prediction of graduation rates of college students has become increasingly important to colleges and universities across the USA and the world. Graduation rates, also referred to as completion rates, directly impact university rankings and represent a measurement of institutional performance and student success. In recent years, there has been a concerted effort by federal and state governments to increase the transparency and accountability of institutions, making “graduation rates” an important and challenging university goal. In line with this, the main purpose of this paper is to propose a hybrid data analytic approach which can be flexibly implemented not only in the USA but also at various colleges across the world which would help predict the graduation status of undergraduate students due to its generic nature. It is also aimed at providing a means of determining and ranking the critical factors of graduation status.

This study focuses on developing a novel hybrid data analytic approach to predict the degree completion of undergraduate students at a four-year public university in the USA. Via the deployment of the proposed methodology, the data were analyzed using three popular data mining classifications methods (i.e. decision trees, artificial neural networks, and support vector machines) to develop predictive degree completion models. Finally, a sensitivity analysis is performed to identify the relative importance of each predictor factor driving the graduation.

The sensitivity analysis of the most critical factors in predicting graduation rates is determined to be fall-term grade-point average, housing status (on campus or commuter), and which high school the student attended. The least influential factors of graduation status are ethnicity, whether or not a student had work study, and whether or not a student applied for financial aid. All three data analytic models yielded high accuracies ranging from 71.56 to 77.61 percent, which validates the proposed model.

This study presents uniqueness in that it presents an unbiased means of determining the driving factors of college graduation status with a flexible and powerful hybrid methodology to be implemented at other similar decision-making settings.

This paper aims to provide a parsimonious but rigorous model to assist decision-makers to determine critical factors which can lead to higher graduation rates amongst higher education institution (HEI) participants. It predicts the odds of dropout amongst university students, using HEI data from a developing country. This is used as a basis for a Student Retention Predictive (SRP) Model to inform HEI administrators about predicted risks of attrition amongst cohorts.

A classification tool, the Logistic Regression Model, is fitted to the data set for a particular HEI in a developing country. The model is used to predict significant factors for student dropout and to create a base model for predicted risks by various student demographic variables.

To reduce dropout and to ensure higher graduation rates, the model suggests that variables such as age group, faculty, academic standing and cumulative GPA are significant. These indicative results can drive intervention strategies to improve student retention in HEIs and lessen the gap between graduates and non-graduates, with the goal of reducing socio-economic inequalities in society.

This research employs risk bands (low, medium and high) to classify students at risk of attrition or drop out. This provides invaluable insights to HEI administrators in the development of intervention strategies to reduce dropout and increase graduation rates to impact the wider public policy issue of socio-economic inequities.

Faced with declining government funding support and rising student loan debt, recently timely graduation in higher education has become a focal point of discussion at many institutions, particularly public universities. Timely graduation requires a student to successfully enroll in and complete a set of required and elective courses, the relationship of which is bound by the courses’ prerequisite requirements. However, due to the fact that class capacity is oftentimes limited and wrongly timed, many students find it challenging to stay on track. A well-structured degree roadmap that takes all factors into consideration and specifies the right courses to take by semester will better guide students’ course selection and thus increase their chance of earning their degrees within the four-year time window. Additionally, it will also allow administrators to do better capacity planning, and hence increase course accessibility to students. The paper aims to discuss these issues.

In this research, some operational techniques such as line balancing and simulation are applied to restructure and improve degree roadmaps, and assess the resulting outcomes. Some innovative methods are proposed to improve the processes on which students proceed to degree.

The results based on historical data that contains millions of student records spanning over eight-year time window demonstrate that the improved degree roadmaps can substantially increase students’ chance of completing the degree in a four-year time window. The research findings provide university administrators with cost-effective solutions.

This research breaks a new ground in literature due to its unique approach and focus. To the best of the authors’ knowledge, this research is one of the first attempts to systematically study the impact of degree roadmap on timely graduation. This research focuses on finding solutions that are within the institution’s control, hence the proposed solutions are implementable and will provide university administrators with new tools and perspectives to enhance student success.

This study examines the impact of participation in a STEM Enrichment Summer Bridge Program, funded by the NSF Houston-Louis Stokes Alliance for Minority Participation, on undergraduate student success outcomes, particularly for under-represented students.

The study uses propensity score matching and logistic regression analysis to examine the effects of participation in the STEM enrichment program on graduation and retention in STEM after matching on baseline socio-demographic and pre-college characteristics.

The analysis found that program participation had a significant effect on increasing both the graduation rates and retention of under-represented minority students in STEM fields. In addition, results indicated that program participation had a particularly strong impact for Pell-eligible students in terms of course grades.

Data obtained for this study were limited to a single Hispanic-serving/Asian-serving institution, and therefore are not necessarily representative of the graduation and retention trends of the larger population of underrepresented minority (URM) students across the nation.

This study uniquely adds to the existing body of literature surrounding the retention of URM students in STEM fields by accounting for baseline variables, such as pre-college academic achievement and socio-demographic characteristics, that could lead to bias in estimating results. Specifically, this study addresses limitations of previous studies by comparing participants and non-participants of the STEM enrichment program who are matched on a selection of baseline characteristics.

This paper aims to investigate the relation between the creditworthiness of US institutions of higher education and their student selectivity (i.e. demand and quality).

The authors study whether the impact of student selectivity differs across public vs private universities; across the credit quality of the given public university’s state; and across the level of state appropriations for the given public university.

The authors find that student quality and demand measures are significantly associated with their corresponding institution’s creditworthiness, especially for private universities.

For public universities the association is weak and, contrary to the expectations, does not depend on the state credit quality or level of state funding. The findings are robust to the inclusion of control variables.

This paper aims is to present and discuss the personal and educational underpinnings of undergraduate and graduate students’ persistence decision, identify initiatives and strategies academic libraries are adopting which correlates positively with student retention, identify and discuss the main causes leading to attrition and present James White Library’s experience contributing to student retention efforts at Andrews University.

A bibliographic search using databases in the areas of education and library and information science was conducted to review the literature on the relationship between library use and services and university students’ retention.

The main overall factors which contribute to student retention are: user-centered philosophy; involvement and engagement; student identification and sense of belonging; academic success and achievement; and point grade average (GPA) in the context of libraries, the main factors which contribute (or correlate) to student retention are: library instruction; spaces which provide social interaction and learning; and general materials’ use.

This study does not provide results of actual in-person investigations conducted at libraries, rather, identifies presents, and discusses reported studies in the Education and Library & Information Science (LIS) literature.

A summary and structured presentation of the main issues concerning the library’s role in university student’s retention identifies the main personal, including non-academic and academic problems leading to student’s attrition, as well successful efforts and strategies which libraries are adopting to curtail this pressing problem within academic institutions. The paper can be used as general guidelines which academic library managers and library service providers can adopt to contribute to the university’s overall efforts to increase its graduation rate.

Higher education presupposes large expenditures from providers (Universities) and students. Millions of dollars are spent by both parties each year without yielding the expected results, considering that attrition levels can reach more than 40 per cent at any given university during an academic year in the USA. Also, purposeful or intentional expensive recruitment efforts and programs can be greatly curtailed by high attrition rates. However, these can be greatly diminished by successful retention strategies. Also, society is greatly benefited with the talents, skills, and services rendered by a professional with a higher education degree.

This study organizes and systematizes the many study results, ideas, and considerations concerning academic libraries and student retention which are dispersed in the literature of the field, allowing the reader and practitioner to better understand the theoretical and practical issues concerning this subject. It provides the reader with practical experiences and data which will enhance one’s decision-making process in developing retention policies and strategies at the library level.