Student Demographic and Academic Characteristics that Predict Community College Student Success in Online Courses

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ISBN 13 : 9780355668131
Total Pages : 209 pages
Book Rating : 4.6/5 (681 download)

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Book Synopsis Student Demographic and Academic Characteristics that Predict Community College Student Success in Online Courses by : Jennifer L. Davidson

Download or read book Student Demographic and Academic Characteristics that Predict Community College Student Success in Online Courses written by Jennifer L. Davidson and published by . This book was released on 2017 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: Online student success is a concern for higher education institutions especially community colleges with open enrollment admission. This study analyzed online student success using online GPA (dependent variable) and both demographic and academic characteristics of online students (independent variables) to determine which characteristics significantly correlated to and predicted student success in online courses. The sample included an unduplicated count of 4,046 online students enrolled in at least one online course during fall 2015 and spring 2016 at a public, Midwestern community college. Six research questions and twelve hypotheses were used to determine which independent variables led online students to a higher online GPA. Analysis was completed separately for students taking at least one online course and students taking only online courses using descriptive statistics, t tests, correlation coefficients, cross-tabulations, and logistic regression. The most significant finding was a large, positive relationship between cumulative GPA and online GPA. There was also a significant, positive correlation between online GPA and cumulative credit hours as well as online GPA and number of online courses taken. There was a significant, negative correlation between online GPA and course withdrawals. Additionally, a higher online GPA was identified for older, female, and White online students while a lower online GPA was found for Black online students. Findings also indicated a significant difference in online GPA for both online student groups based on computer experience and remedial coursework along with a significant difference in online GPA just for online only students based on financial aid.

Predicting Student Success in Online Courses at a Rural Alabama Community College

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (654 download)

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Book Synopsis Predicting Student Success in Online Courses at a Rural Alabama Community College by : Leslie Ann Cummings

Download or read book Predicting Student Success in Online Courses at a Rural Alabama Community College written by Leslie Ann Cummings and published by . This book was released on 2009 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Community colleges have utilized distance education to reach previously underserved populations. Considering the educational opportunities afforded by increased Internet access and the history of community colleges of providing open access to all individuals, it is no wonder that distance education has grown as a means of extending education in rural areas. Along with taking advantage of these opportunities, community colleges must also be committed to the success of students in the online environment. There is a need to identify individual student characteristics that predict success in the online environment in order to provide appropriate course enrollment advising. This study examines demographic and educational variables of online students at Bevill State Community College, with the goal of identifying the predictive ability of student characteristics on success in online courses. Online learners at Bevill State were mostly females and roughly half had completed an introductory computer course before enrolling in an online class. The average age of the participants was 25.57. These individuals had an average GPA of 3.07 and had completed an average of 4.56 semesters of college. Overall, 71.1% of the participants were successful in the online course in which they were enrolled, having achieved a grade of D or higher. The logistic regression model of five predictor variables was 72% accurate in predicting student success and non-success. Results show that the major factors influencing whether a person is successful in online classes are: age at the time of enrollment, overall GPA before enrollment, and the number of semesters of previous college experience. These findings indicate that students who are older, have more experience in college, and who have had more success in the traditional classroom may be more likely to be successful in the online environment. As online education continues its growth, identifying factors that help to distinguish between those who may be successful and those who may not will help students, advisors, and administrators make informed decisions about course enrollments. Future research should include a variety of methodologies to further explore the variables identified here as well as others that may influence student success in the online environment.

Success Factors Among Community College Students in an Online Learning Environment

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Publisher : Universal-Publishers
ISBN 13 : 1581121067
Total Pages : 238 pages
Book Rating : 4.5/5 (811 download)

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Book Synopsis Success Factors Among Community College Students in an Online Learning Environment by : Paula B. Doherty

Download or read book Success Factors Among Community College Students in an Online Learning Environment written by Paula B. Doherty and published by Universal-Publishers. This book was released on 2000-08-16 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: Little is known about student success in online learning environments, especially how the predisposing characteristics that the learner brings to the learning environment may differentially affect student outcomes. This study explored the question of whether a student's "readiness" to be a self-directed learner is a predictor of student success in an online community college curriculum. The specific goal of this investigation was to determine whether there was a significant relationship between self-directed learning readiness-as measured by Guglielmino's (1977) Self-Directed Learning Readiness Scale (SDLRS)- and student success-as measured by course completion, grade point average (GPA) and student satisfaction, the latter assessed by student responses to an opinion poll. The subjects of this study were community college students in the state of Washington, enrolled in one or more transfer-level online courses delivered via WashingtonONLINE (WAOL) during fall quarter 1999. Students who voluntarily chose to respond to two elective surveys comprised the study sample. A correlational research design was used to test the explanatory power of self-directed learning readiness and to describe the relationships between variables. Since this study was designed to test hypothesized relationships, the resulting correlation coefficients were interpreted in terms of their statistical significance. The expected outcome of this study was to confirm or disconfirm a statistically significant relationship between self-directed learning readiness and student success in an online community college curriculum. The findings of this study failed to achieve this outcome due to (1) the lack of statistical reliability of the SDLRS among the subject population; (2) the resulting lack of validity of the SDLRS among the study sample; (3) a nonresponse effect; and (4) a self-selection effect. The unanticipated outcome of this study was evidence that student perception of student/instructor interactions is a single variable predictor of student success among community college students in an online learning environment. Recommendations for further study include Web-specific research methodologies that address the potentially deleterious effects of nonresponse and self-selection in cyber-research environments and continued exploration of the multiple facets of student success in asynchronous learning domains.

College Students in the United States

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Publisher : John Wiley & Sons
ISBN 13 : 1118415507
Total Pages : 307 pages
Book Rating : 4.1/5 (184 download)

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Book Synopsis College Students in the United States by : Kristen A. Renn

Download or read book College Students in the United States written by Kristen A. Renn and published by John Wiley & Sons. This book was released on 2012-11-05 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: College Students in the United States accounts for contemporary and anticipated student demographics and enrollment patterns, a wide variety of campus environments and a range of outcomes including learning, development, and achievement. Throughout the book, the differing experiences, needs, and outcome of students across the range of “traditional” (18-24 years old, full-time students) and non-traditional (for example, adult and returning learners, veterans, recent immigrants) are highlighted. The book is organized, for use as a stand-alone resource, around Alexander Astin’s Inputs-Environment-Outputs (I-E-O) framework.

The Relationship of Demographic and Academic Characteristics on Student Academic Success Rates when Using Web-based Delivery Modalities

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Publisher :
ISBN 13 :
Total Pages : 226 pages
Book Rating : 4.:/5 (949 download)

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Book Synopsis The Relationship of Demographic and Academic Characteristics on Student Academic Success Rates when Using Web-based Delivery Modalities by : Jane Marie Gibson

Download or read book The Relationship of Demographic and Academic Characteristics on Student Academic Success Rates when Using Web-based Delivery Modalities written by Jane Marie Gibson and published by . This book was released on 2015 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: Online distance education classes and digital learning tools offer substantial advantages to both students and universities. Institutional benefits include the facilitation of student success in large classes, reducing university expenses, and perhaps even enhancing the students’ learning environment. Students benefit from the convenience of scheduling and reduced travel time and many researchers found no significant difference in student learning outcomes between face-to-face classes and online classes on an aggregate or summative level. However, other researchers question the academic success of some students enrolled in online classes based on certain demographic and academic characteristics, such as age, gender, ethnicity, socio-economic status (SES), and grade point average (GPA). Despite the role demographic factors may play in learning outcomes, limited research is available investigating whether the online learning modality is equally effective for students of different ages and ethnicities, men as compared to women, and previously high performing and low performing students. Much of the research related to online learning has limitations falling into two primary categories: studies comparing primarily face-to-face courses with online classes without including the analysis of hybrid learning; and studies that examine student outcomes at the aggregate level of success without outcomes broken out by specific demographic and academic characteristics. This research sought to remedy these important gaps by examining student learning outcomes in hybrid and online accounting classes based on demographic groupings. This study evaluated whether students’ demographic and academic characteristics, (i.e., their age, gender, race/ethnicity, SES, and GPA) mediated whether they were as successful in online versus hybrid classes. The most salient finding revealed in this study was the contrast in the students’ performance based on delivery modality. The results indicated that students earned almost 30 points higher in their final scores when they were enrolled in the hybrid classes in contrast to enrollment in the online classes. This difference in student scores based on delivery modality was found in almost every student demographic.

Identifying Factors that Predict Student Success in a Community College Online Distance Learning Course

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Publisher :
ISBN 13 :
Total Pages : 234 pages
Book Rating : 4.:/5 (23 download)

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Book Synopsis Identifying Factors that Predict Student Success in a Community College Online Distance Learning Course by :

Download or read book Identifying Factors that Predict Student Success in a Community College Online Distance Learning Course written by and published by . This book was released on 2007 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Characteristics of Successful Community College Students

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ISBN 13 :
Total Pages : 512 pages
Book Rating : 4.:/5 (117 download)

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Book Synopsis Characteristics of Successful Community College Students by : Scheherazade West Forman

Download or read book Characteristics of Successful Community College Students written by Scheherazade West Forman and published by . This book was released on 2009 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this quantitative study was to find predictors of student success. Using a predictive correlational design, the intent of the study was to find the relationships between the dichotomous dependent variable with the categories, degree recipients and non-degree recipients, and the independent variables, student characteristics and risk factors. The conceptual framework for this study was Astin's Input-Environment-Outcome (I-E-O) model which addresses the complexities of research in higher education by highlighting the interdependence between inputs, environments, and outputs. The use of a predictive design allowed the researcher to find the likelihood of a relationship between outcomes by using the independent variables as predictors. To address the research questions descriptive statistics, bivariate cross tabulations, and binary logistic regression were conducted. The descriptive statistics were reported from the participants' responses and the percentage of the total response. The bivariate cross tabulations measured the relationship between the expected and observed counts for the two categories. During the analysis only the significant categorical variables were retained and entered into SPSS using the default enter mode. The distinguishing characteristics of successful community college students were found in the student characteristics age, race, and parents' education. The distinguishing characteristics of risk factors were found in delayed enrollment, dependents, and part-time enrollment. Specifically, the predictors for participants who earned the associate degree consisted of a non-traditional aged student, who is White, with a parent who graduated from college or higher, had a minimal delay in entry into the community college, was enrolled part-time, and did not have dependents. Implications from practice to policy are presented in relation to how the community college should strengthen its focus on the traditional aged student who is a minority, the first in the family to attend college, has a minimal delay in their entry into college, enrolls full-time, and has dependents. -- Abstract.

Student Success in College

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Publisher : John Wiley & Sons
ISBN 13 : 1118046854
Total Pages : 422 pages
Book Rating : 4.1/5 (18 download)

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Book Synopsis Student Success in College by : George D. Kuh

Download or read book Student Success in College written by George D. Kuh and published by John Wiley & Sons. This book was released on 2011-01-07 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: Student Success in College describes policies, programs, and practices that a diverse set of institutions have used to enhance student achievement. This book clearly shows the benefits of student learning and educational effectiveness that can be realized when these conditions are present. Based on the Documenting Effective Educational Practice (DEEP) project from the Center for Postsecondary Research at Indiana University, this book provides concrete examples from twenty institutions that other colleges and universities can learn from and adapt to help create a success-oriented campus culture and learning environment.

Underprepared Community College Students

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Publisher :
ISBN 13 :
Total Pages : 304 pages
Book Rating : 4.3/5 (129 download)

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Book Synopsis Underprepared Community College Students by : Kathryn Claire King

Download or read book Underprepared Community College Students written by Kathryn Claire King and published by . This book was released on 2008 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Using Student Characteristics to Predict the Persistence of Community College Students in Online Courses

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (71 download)

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Book Synopsis Using Student Characteristics to Predict the Persistence of Community College Students in Online Courses by :

Download or read book Using Student Characteristics to Predict the Persistence of Community College Students in Online Courses written by and published by . This book was released on 2006 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

A Comparison of Predictors of Student Grades in Online and Face-to-face Community College Courses

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Publisher :
ISBN 13 :
Total Pages : 84 pages
Book Rating : 4.:/5 (941 download)

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Book Synopsis A Comparison of Predictors of Student Grades in Online and Face-to-face Community College Courses by :

Download or read book A Comparison of Predictors of Student Grades in Online and Face-to-face Community College Courses written by and published by . This book was released on 2013 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is an increased demand for online course offerings in community colleges while there is also an increased demand for college accountability. Many analyses examine persistence and completion rates as indicators of student success. This analysis focuses on grade outcomes. Although this traditional view of success is somewhat narrow, it will provide a starting point for an examination of online student success. This study examines to what extent the academic success of online and face-to-face course takers can be explained by student demographics, financial aid status, educational goals, and select high school performance measures. It, then, explores similarities and differences between the finding for online and face-to-face courses.

A Comparison of Predictors of Student Grades in Online and Face-to-face Community College Courses

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Publisher :
ISBN 13 :
Total Pages : 84 pages
Book Rating : 4.:/5 (129 download)

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Book Synopsis A Comparison of Predictors of Student Grades in Online and Face-to-face Community College Courses by : Pamela Kay Wright

Download or read book A Comparison of Predictors of Student Grades in Online and Face-to-face Community College Courses written by Pamela Kay Wright and published by . This book was released on 2021 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt: There is an increased demand for online course offerings in community colleges while there is also an increased demand for college accountability. Many analyses examine persistence and completion rates as indicators of student success. This analysis focuses on grade outcomes. Although this traditional view of success is somewhat narrow, it will provide a starting point for an examination of online student success. This study examines to what extent the academic success of online and face-to-face course takers can be explained by student demographics, financial aid status, educational goals, and select high school performance measures. It, then, explores similarities and differences between the finding for online and face-to-face courses.

Community College Student Success: What Institutional Characteristics Make a Difference?

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Publisher :
ISBN 13 :
Total Pages : 41 pages
Book Rating : 4.:/5 (16 download)

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Book Synopsis Community College Student Success: What Institutional Characteristics Make a Difference? by : Thomas Bailey

Download or read book Community College Student Success: What Institutional Characteristics Make a Difference? written by Thomas Bailey and published by . This book was released on 2005 with total page 41 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of this study is to determine the institutional characteristics that affect the success of community college students as measured by the individual student probability of completing a certificate or degree or transferring to a baccalaureate institution. While there is extensive research on the institutional determinants of educational outcomes for K-12 education and a growing literature on this topic for baccalaureate institutions, few researchers have attempted to address the issue for community colleges. Using individual level data from the National Education Longitudinal Study of 1988 (NELS:88) and institutional level data from the Integrated Postsecondary Education Data System (IPEDS), we address two methodological challenges associated with research on community college students: unobserved institutional effects and attendance at multiple institutions. The most consistent results across specifications are the negative relationship between individual success and larger institutional size, and the proportion of part-time faculty and minority students.

Predicting Student Success in Coursework Within a Regional Online School

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Publisher :
ISBN 13 :
Total Pages : 137 pages
Book Rating : 4.:/5 (132 download)

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Book Synopsis Predicting Student Success in Coursework Within a Regional Online School by : Cary J. Stamas

Download or read book Predicting Student Success in Coursework Within a Regional Online School written by Cary J. Stamas and published by . This book was released on 2021 with total page 137 pages. Available in PDF, EPUB and Kindle. Book excerpt: Online education options in the K-12 environment have steadily increased from the infancy of online education at the turn of the millennia. Educators have utilized this format to meet the many different needs that exist for all students. Early research into the academic success of students in these environments prior to 2000 indicated there was no significant difference in student achievement for distance learning as compared to face-to-face learning. Since 2000, there has been increased focus on student performance in higher education online environments, but research is limited for K-12 schools. For the research that does exist, school-level variables and the reasons why students select online environments have not been investigated. This study examines the within-school and between-school factors that predict the performance of students in online environments utilizing hierarchical linear modeling (HLM). The data sample represents information from a regional online school (ROS) that enrolls 9-12 students in online coursework from local schools in the region. The sample included 886 students from 36 local schools. The student-level variables that were investigated included prior student performance, special education status, student free or reduced-price lunch status, race, gender, age, and the reason for selecting online coursework. The school-level variables included in the analyses were school enrollment, percentage of students who qualify for free or reduced-price lunch, school average SAT score, percentage of Black students enrolled, and percentage of Hispanic students enrolled. This study analyzed student overall performance, mathematics performance, and English language arts (ELA) performance at the ROS utilizing three models: the unconditional model, the control model with student-level variables, and the full model with school-level variables. A fourth model was applied to a subset of the data for each academic area and included students' reason for choosing online coursework at level 1. The results identified multiple significant factors that predicted student performance. At the student level for all three academic areas, prior academic performance (GPA) was a positive predictor of student achievement while special education status and qualification for free or reduced-price lunch were negative predictors. At the school level, the only significant predictor is the average SAT score which positively predicts overall academic achievement at the ROS. When the students' reasons for selecting online coursework were analyzed, health reasons were a significant negative predictor for overall academic performance. Behavioral reasons were a significant positive predictor and family reasons were significant negative predictor of mathematics achievement at the ROS. The findings on significant predictors of student success in online classes are important information for students, parents, educators, and others. These findings can provide clarity in decision making around the placement and support of students. They also provide important areas of focus for program quality and improvement to support student success. Future research could investigate further the relationship between special education classifications, other school level factors, and additional reasons for selecting online courses, on the one hand, and success in on-line classes, on the other.

Student Engagement in Community College Online Education Programs

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Publisher :
ISBN 13 :
Total Pages : 348 pages
Book Rating : 4.:/5 (667 download)

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Book Synopsis Student Engagement in Community College Online Education Programs by : Karla Ann Fisher

Download or read book Student Engagement in Community College Online Education Programs written by Karla Ann Fisher and published by . This book was released on 2010 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: Improving student outcomes in community college online education requires understanding how institutional practices and student characteristics affect levels of student engagement in online courses. This study investigated community college online student engagement using an ex post facto quantitative methodology, reporting the results of an online survey administered to students enrolled in online courses at four community colleges and one statewide community college online consortium in the fall 2009 academic term. Online engagement levels were measured based on five constructs from the Community College Survey of Student Engagement (Active and Collaborative Learning, Student-Faculty Interaction, Academic Challenge, Student Effort, and Support for Learners) and a sixth construct from the literature (Presence). The study measured the engagement levels of 906 survey respondents taking classes exclusively online compared with 1,179 survey respondents taking classes both online and on-campus. Differences in engagement levels also were explored in terms of student characteristics including gender, race/ethnicity, age (traditional/nontraditional), enrollment status; experience in online classes, and veteran status. The results of this study revealed the following: Community college online students are less engaged than students taking courses both online and on campus. Enrollment status is a strong predictor of online student engagement; online students enrolled part-time are substantially less engaged than online students enrolled full-time. Experience with online learning is another strong predictor of engagement; as students gain experience in online courses, they become more engaged online learners. Student demographics appear to play less of a role in student engagement online than on campus. Although measurably less engaged, online students scored high on Student Effort, suggesting respondents found courses taught exclusively online required substantial individual effort. Online students are isolated relative to other students and faculty, and are unlikely to reach out to make connections within the college community without assistance. Based on their distinctive experiences and characteristics, online students should be tracked as a unique cohort within community college student populations. This study concludes with recommendations for further research and strategies that community colleges could implement to increase online student engagement, retention, and ultimately success.

Community College Online Course Retention and Grade Predictors

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Publisher : LAP Lambert Academic Publishing
ISBN 13 : 9783838373591
Total Pages : 216 pages
Book Rating : 4.3/5 (735 download)

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Book Synopsis Community College Online Course Retention and Grade Predictors by : Simon Liu

Download or read book Community College Online Course Retention and Grade Predictors written by Simon Liu and published by LAP Lambert Academic Publishing. This book was released on 2010 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book investigates factors predicting students' retention and final grades in a community college online course. It aims to promote a better understanding of student characteristics that contribute to retention and academic success in community college online courses. It provides a foundation for developing and validating future instruments for students to conduct self-assessment before taking community college online courses and for community colleges to identify at-risk online students so that intervention measures can be developed to assist and advise these students. This book may also assist accrediting organizations in developing and improving accreditation standards and policies for community college online education.

The Effects of Institutional Factors on the Success of Community College Students

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Publisher :
ISBN 13 :
Total Pages : 60 pages
Book Rating : 4.:/5 (16 download)

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Book Synopsis The Effects of Institutional Factors on the Success of Community College Students by : Thomas Bailey

Download or read book The Effects of Institutional Factors on the Success of Community College Students written by Thomas Bailey and published by . This book was released on 2005 with total page 60 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of this report is to measure the institutional characteristics that affect the success of community college students, particularly low-income and minority students. While there is a growing literature on this topic for baccalaureate institutions, few researchers have attempted to address the issue for community colleges. Since this line of research is so new, there remain open many methodological and conceptual issues. Much research has been done to identify individual student characteristics that impact their outcomes at community colleges. Characteristics such as academic preparedness, household income, parents? level of education, gender, race/ethnicity, and patterns of enrollment have all been found to impact individual student outcomes. Yet, individual factors cannot completely explain the graduation rates of different community colleges, or even the likelihood of an individual student completing at a particular college. Evidence shows that different community colleges enrolling essentially similar types of students may have vastly different graduation rates. What characteristics of these institutions might play a role in explaining student outcomes, when controlling for student characteristics? This report investigates that question using different models and sets of data. This report focuses on policies and programs that colleges themselves might be able to implement to improve student success. Even though community colleges are similar types of institutions on many levels, there is wide variation among colleges in various student outcome measures such as graduation, transfer, and retention. The central premise of this report and the broader research program, of which the report is one component, is that there are important lessons and insights that can be learned from this variation. Appended are: (1) Institutional Graduation Rates Regression Tables; (2) Individual Outcomes Models; and (3) Individual Outcomes Regression Tables. [Report produced byearch Center.].