Predicting Graduation Rates of First-generation College Students PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Predicting Graduation Rates of First-generation College Students PDF full book. Access full book title Predicting Graduation Rates of First-generation College Students by Brynn L. Munro. Download full books in PDF and EPUB format.
Author: Brynn L. Munro Publisher: ISBN: Category : Languages : en Pages : 0
Book Description
Author's request; PREDICTING GRADUATION RATES OF FIRST-GENERATION COLLEGE STUDENTS by BRYNN MUNRO (Under the Direction of Juliann Sergi McBrayer) ABSTRACT In the 2015-2016 academic year, 56% of college students fit the federal government’s definition of first-generation college student status, meaning that neither parent has earned a baccalaureate degree. The success of this student population is crucial for institutional success. There are few studies which follow first-generation college students and continuing-generation college students longitudinally over six years at the same institution to examine graduation outcomes. This study utilized archival data at an access institution in the Southeastern United States in a causal comparative study using binary logistic regression analysis to determine if first-generation college student status, gender, socioeconomic status, and academic preparedness are predictors for six-year graduation rates. Findings from this quantitative study determined that gender, socioeconomic status, and academic preparedness were significant predictors for graduation within six years of matriculation at the institution. While findings from this study do not entirely align with prior research, a future qualitative study may provide context for the student experience and what factors influenced student success. These findings are intended to help administrators understand their student population and implement intervention strategies to increase graduation outcomes
Author: Brynn L. Munro Publisher: ISBN: Category : Languages : en Pages : 0
Book Description
Author's request; PREDICTING GRADUATION RATES OF FIRST-GENERATION COLLEGE STUDENTS by BRYNN MUNRO (Under the Direction of Juliann Sergi McBrayer) ABSTRACT In the 2015-2016 academic year, 56% of college students fit the federal government’s definition of first-generation college student status, meaning that neither parent has earned a baccalaureate degree. The success of this student population is crucial for institutional success. There are few studies which follow first-generation college students and continuing-generation college students longitudinally over six years at the same institution to examine graduation outcomes. This study utilized archival data at an access institution in the Southeastern United States in a causal comparative study using binary logistic regression analysis to determine if first-generation college student status, gender, socioeconomic status, and academic preparedness are predictors for six-year graduation rates. Findings from this quantitative study determined that gender, socioeconomic status, and academic preparedness were significant predictors for graduation within six years of matriculation at the institution. While findings from this study do not entirely align with prior research, a future qualitative study may provide context for the student experience and what factors influenced student success. These findings are intended to help administrators understand their student population and implement intervention strategies to increase graduation outcomes
Author: Publisher: ISBN: 9781878477538 Category : College attendance Languages : en Pages : 55
Book Description
"The report examines retention and degree attainment of 210,056 first-time, full-time students at 356 four-year non-profit institutions, using a combination of CIRP (Cooperative Institutional Research Program) Freshman Survey data and student graduation data from the National Student Clearinghouse"--Publisher's web site.
Author: Andreina Arroyo Publisher: ISBN: Category : College dropouts Languages : en Pages : 52
Book Description
Over the years, institutions of higher education have seen an increase in enrollment among students of all backgrounds. As institutions become more diversified,the gap among students’ academic performance widens in terms of learning, persistence,and graduation. This study examines the degree to which the most widely used selection criteria: grade point average (GPA) and SAT/ACT scores predict college success for first-generational students. As student debt rises and retention grows in national importance, it becomes critical to understand how to select promising students and enable them to succeed. The subjects used in the study are 2,562 students who matriculated into the undergraduate, campus-based degree program at Mary Baldwin College (hence forth MBU) from fall, 2007 to fall, 2017. These data are used to compare success rates at a small, women’s, liberal arts institution between first-generational and non-first generational college students to determine the effectiveness of standardized test scores and high school GPA at predicting success.--Abstract
Author: Alan Seidman Publisher: Rowman & Littlefield ISBN: 1475872364 Category : Education Languages : en Pages : 359
Book Description
College student retention continues to be a top priority among colleges, universities, educators, federal and state legislatures, parents and students. While access to higher education is virtually universally available, many students who start in a higher education program do not complete the program or achieve their academic and personal goals. In spite of the programs and services colleges and universities have devoted to this issue, student retention and graduation rates have not improved considerably over time. College Student Retention: Formula for Student Success, Third Edition offers a solution to this vexing problem. It provides background information about college student retention issues and offers the educational community pertinent information to help all types of students succeed. The book lays out the financial implications and trends of retention. Current theories of retention, retention of online students, and retention in community colleges are also thoroughly discussed. Completely new to this edition are chapters that examine retention of minority and international students. Additionally, a formula for student success is provided which if colleges and universities implement student academic and personal goals may be attained.
Author: Holly Gilbertson Hoffman Publisher: ISBN: Category : College students Languages : en Pages : 254
Book Description
Colleges and universities have recently been under great pressure to increase institutional graduation rates, due to a surge in consumer demand for accountability and the use of graduation rates to deter nine effectiveness and funding. Many colleges may choose to achieve higher graduation rates by simply increasing selectivity. However, this strategy has the potential to exclude at-risk student populations, namely first generation students, who lack a family track record of college completion and have been shown to be less likely to graduate than continuing generation students. To allow for continued access for first generation students, institutions have the ability to design initiatives based on an extensive framework of salient factors identified in the literature; however, there is a critical need to identify which factors have the greatest influence on first generation degree attainment. As such, this quantitative study examined how factors influencing student success vary for first and continuing generation students through an analysis of a nationally representative dataset from the 2004/2009 Beginning Postsecondary Students Longitudinal Study. Several logistic regression models were employed to identify differences in degree completion predictors for three groups of students: first generation students whose parents did not attend college, first generation students whose parents attended some college, and continuing generation students. Theoretical models of student persistence and attainment informed variable selection. Results revealed differences in the significant predictors of bachelor's degree completion for the three groups of students. For example, taking a rigorous high school curriculum predicted degree completion for both groups of first generation students, but not for continuing generation students. Consulting a college guide was a significant predictor only for students whose parents did not attend college. Having a sibling attend college first increased the likelihood of graduating for students whose parents did not attend college and continuing generation students. Taken together, these findings suggest predictors of degree completion vary for first and continuing generation students and indicate a student's level of knowledge about the college going experience plays a role in degree completion for first generation students. The findings support colleges and universities developing distinct student success initiatives for these groups of students.
Author: Dheeraj A. Raju Publisher: ISBN: Category : Electronic dissertations Languages : en Pages : 207
Book Description
Predictive modeling using data mining methods for early identification of students at risk can be very beneficial in improving student graduation rates. The data driven decision planning using data mining techniques is an innovative methodology that can be utilized by universities. The goal of this research study was to compare data mining techniques in assessing student graduation rates at The University of Alabama. Data analyses were performed using two different datasets. The first dataset included pre-college variables and the second dataset included pre-college variables along with college (end of first semester) variables. Both pre-college and college datasets after performing a 10-fold cross-validation indicated no difference in misclassification rates between logistic regression, decision tree, neural network, and random forest models. The misclassification rate indicates the error in predicting the actual number who graduated. The model misclassification rates for the college dataset were around 7% lower than the model misclassification rates for the pre-college dataset. The decision tree model was chosen as the best data mining model based on its advantages over the other data mining models due to ease of interpretation and handling of missing data. Although pre-college variables provide good information about student graduation, adding first semester information to pre-college variables provided better prediction of student graduation. The decision tree model for the college dataset indicated first semester GPA, status, earned hours, and high school GPA as the most important variables. Of the 22,099 students who were full-time, first time entering freshmen from 1995 to 2005, 7,293 did not graduate (33%). Of the 7,293 who did not graduate, 2,845 students (39%) had first semester GPA
Author: Dmitri Rogulkin Publisher: ISBN: Category : Languages : en Pages : 7
Book Description
The second year of college can be as important as the first year but far fewer studies have been conducted on second-year students. About 12% of students leave California State University - Fresno during or after their second year. In this report, we examined second year students to find the differences between those who graduate and those who leave. A decision tree data mining model was used to identify factors that predict students' graduation. A clustering model was used to classify 5 groups of students by multiple characteristics including their graduation rate (which ranges from 99% for one group to 14% for another). The findings showed that staying on track, which was defined as reaching sophomore level no later than the end of the third semester, and cumulative GPA after the first year were the most influential factors in predicting six-year graduation. Potential interventions that may benefit certain groups were suggested. (Contains 5 notes, 3 tables, and 1 figure.).
Author: Melissa R. Roderick Publisher: Consortium on Chicago School Research ISBN: 9780978738372 Category : Education, Higher Languages : en Pages : 129
Book Description
The University of Chicago Consortium on Chicago School Research (UChicago CCSR) builds the capacity for school reform by conducting research that identifies what matters for student success and school improvement. Since 2004, CCSR has tracked the postsecondary experiences of successive cohorts of Chicago Public Schools graduates and examined the relationship among high school preparation, support, college choice, and postsecondary outcomes. The goal of this research is to help policymakers and practitioners understand what it takes to improve the college outcomes for urban and other at-risk students who now overwhelmingly aspire to college. This second report in the "From High School to the Future" series looks beyond qualifications to examine where students encounter potholes on the road to college. The findings reveal that Chicago students at all levels of qualifications do not successfully navigate the daunting process of enrolling in four-year colleges and too often default to colleges for which they are overqualified. The study relies on qualitative and quantitative data for CPS seniors in 2005: student and teacher surveys, transcripts, college enrollment data reported by the National Student Clearinghouse, and student interviews. Consortium researchers spent nearly two years interviewing and tracking the academic progress of 105 students in three Chicago high schools. The ten case studies included in the "Potholes" study each highlight a student who struggled at a different point in the postsecondary planning process.
Author: Brynn L. Munro
Author: Brynn L. Munro
Author: 
Author: Andreina Arroyo
Author: Alan Seidman
Author: Holly Gilbertson Hoffman
Author: Dheeraj A. Raju
Author: Richard Whitmire
Author: Karen L. Webber
Author: Dmitri Rogulkin
Author: Melissa R. Roderick