Developing a Model to Explain IPEDS Graduation Rates at Minnesota Public Two-year Colleges and Four-year Universities Using Data Mining PDF Download
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Author: Brenda Arndt Bailey
Publisher:
ISBN:
Category :
Languages : en
Pages : 470
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Author: Brenda Arndt Bailey
Publisher:
ISBN:
Category :
Languages : en
Pages : 470
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Author:
Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 678
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Author: Terence Yip-hung Fung
Publisher:
ISBN:
Category : College attendance
Languages : en
Pages : 260
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Author: Dheeraj A. Raju
Publisher:
ISBN:
Category : Electronic dissertations
Languages : en
Pages : 207
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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: Faimous J.L. Harrison
Publisher:
ISBN:
Category : College campuses
Languages : en
Pages : 246
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Book Description
Branch campuses play an important part in postsecondary degree attainment by providing place-bound students from diverse socioeconomic backgrounds in different geographical regions access to education that is convenient. Their heterogeneousness structures, including enrollment size, communities, and populations served, are not accurately reflected in the majority of the research. Currently, there is minimal performance assessment research for branch campuses. Only a small percentage of the institutions report their individual survey results to the Integrated Postsecondary Education Data System (IPEDS) separately, or to other reporting agencies. The limited research available does not provide educators, researchers, policymakers, and community stakeholders the opportunity to assess performance, or make the most appropriate data-driven decisions. The purpose of this study was to determine if there is a relationship between two-year public college graduation rates at branch compared to non-branch campuses. Also, to determine if institutional size, geographic region, or student gender have an effect. This quantitative five-year exploratory and descriptive analysis were conducted utilizing the Statistical Package for the Social Sciences (SPSS) of an IPEDS dataset from the academic reporting periods that include 2008-2012. There were 1052 institutions that represented 5171 schools over the five years. Graduation rates were calculated at three years, 150% of normal time to graduate from a two-year college. The statistical procedures included a crosstabulation tested at the .05 level of significance. The contingency tables provided a platform to display the patterns of the relationship between the categorical data in a meaningful way. The P-values were set at 0.01 level of significance to control for Type 1 errors. The tests rejected the null hypothesis. A second chi-square test for homogeneity between the observed and expected frequencies of the variables was conducted. The graduations rates classified by school and enrollment size demonstrated greater success among the branch compared to the non-branch campus when the enrollment numbers were equal to or lower than 10,000 students. However, if the school had more than 10,000 students, the non-branch campus graduation rates were higher. The graduation rates classified by the school and geographic region demonstrated that Midwest branch campuses outperformed all campuses in every region. Furthermore, the results of the graduation rates classified by schools and gender of student showed that a male was more likely to graduate at a branch campus than a female. Whereas a female was more likely to graduate at non-branch campus than a male. The findings suggest there is a relationship between two-year public college graduation rates at branch compared to non-branch campuses. Additionally, institutional size, geographic region, and student gender did have an effect. Given the pervasive nature of performance outcomes in higher education, including graduation rates, time-to-degree completion, transparency, accountability, and the increasing demand for persistence, retention, and attainment, the results demonstrates the need for additional branch campus research to expand upon this study. This study advocates for mandatory, accurate, and transparent reporting of branch campus data separately to IPEDS and other reporting agencies. (Contains 166 references).
Author: Bill McKelvey
Publisher: Univ of California Press
ISBN: 0520360958
Category : Business & Economics
Languages : en
Pages : 528
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Book Description
This title is part of UC Press's Voices Revived program, which commemorates University of California Press’s mission to seek out and cultivate the brightest minds and give them voice, reach, and impact. Drawing on a backlist dating to 1893, Voices Revived makes high-quality, peer-reviewed scholarship accessible once again using print-on-demand technology. This title was originally published in 1982.
Author: Mary Elizabeth Wallace
Publisher:
ISBN:
Category : Education, Higher
Languages : en
Pages :
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One of the challenges facing higher education today is to graduate undergraduate students in a timely manner. Graduation rates are reported to students, parents, and the general public as well as academic and political leaders. The rates are derived using different methodologies. The Integrated Postsecondary Education Data System (IPEDS) collects data annually by law from every institution offering federal financial aid in the United States. The "IPEDS reported" students are considered students who start in the fall semester, full-time, first-time in college, and graduate from the original institution (no transfers). The adult, part-time, returning, and transfer students, or "IPEDS unreported" students, are left out of the numbers. The purpose of this research is to understand how current college graduation data are collected in the United States and to compare that information with post-secondary attendance and transfer patterns. This study proposes to document the data of "IPEDS reported" and "IPEDS unreported" graduated students from one academic year and to propose alternatives for holistic and inclusive methods for counting graduation numbers that reflect current enrollment trends. Furthermore, emphasis of the serious implications of these data for students, parents, policymakers, institutional leaders, and politicians who rely on these data to make informed decisions regarding higher education will be discussed. This research contributes to innovative solutions for calculating graduation rates that adhere to updated methods that count and value all graduated students and their successes.
Author: Scott A. Ginder
Publisher:
ISBN:
Category :
Languages : en
Pages : 22
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Book Description
The Integrated Postsecondary Education Data System (IPEDS) collects institution-level data from postsecondary institutions in the United States (50 states and the District of Columbia) and other U.S. jurisdictions (see appendix A for a list of other U.S. jurisdictions). This "First Look" presents findings from the provisional data for four of the five survey components of the IPEDS winter 2015-16 data collection: (1) "Graduation Rates" (GR); (2) "200 Percent Graduation Rates" (GR200); (3) "Student Financial Aid" (SFA); and (4) "Admissions" (ADM). GR and GR200 present graduation rates for selected cohorts within 100, 150, and 200 percent of normal program completion time (e.g., "normal" program completion time for a bachelor's degree would be 4 years). SFA collects the number of undergraduate students awarded aid, as well as the amount of the aid awarded to those students. ADM collects information about the undergraduate selection process for entering first-time degree/certificate-seeking undergraduate students. Data for these components were collected through the IPEDS web-based data collection system. Though fielded during the same collection period, each survey component collected data on different groups of individuals (e.g., cohorts starting at a specific time). A brief summary of the winter 2015-16 survey components is included in this report. The purpose of this report is to introduce new data through tables containing descriptive information. The following are appended: (1) Data Collection Procedures; and (2) Glossary of IPEDS Terms.
Author: Laura Horn
Publisher:
ISBN:
Category :
Languages : en
Pages : 115
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This report uses data primarily from the 2004 Graduation Rate Survey (GRS), a component of the Integrated Postsecondary Education Data System (IPEDS), to provide a systemwide overview of how graduation rates of comparable 4-year institutions vary with institution selectivity and the size of the low-income population enrolled. The report clearly shows that graduation rates dropped systematically as the proportion of low-income students increased, even within the same Carnegie classification and selectivity levels. Variations by gender and race/ethnicity also were evident. Women graduated at higher rates than men, and in general, as the proportion of low-income students increased, so did the gap between female and male graduation rates. The gap in graduation rates between White and Black students and between White and Hispanic students, on the other hand, typically narrowed as the as the proportion of low-income students increased. In the end, the results indicate that serving large numbers of low-income students does not necessarily lead to low graduation rates. Appended are: (1) A Glossary; and (2) Technical Notes and Methodology. (Contains 14 tables and 8 figures.).
Author: Scott A. Ginder
Publisher:
ISBN:
Category :
Languages : en
Pages : 27
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Book Description
The Integrated Postsecondary Education Data System (IPEDS) collects institution-level data from postsecondary institutions in the United States (50 states and the District of Columbia) and other U.S. jurisdictions (see appendix A for a list of other U.S. jurisdictions). This "First Look" presents findings from the preliminary data of the IPEDS winter 2016-17 data collection, which included five survey components: "Graduation Rates, 200 Percent Graduation Rates, Student Financial Aid, Admissions", and "Outcome Measures." This "First Look" provides users with access to IPEDS data soon after the close of data collection. This report is based upon preliminary data that have not been extensively reviewed or edited. Provisional data for this collection, containing fully reviewed, edited, and imputed data, will be released approximately 3 months after the preliminary data. Final data, including revisions to the provisional data submitted by institutions after the close of data collection, will be available during the next collection year (2017-18). The purpose of this report is to introduce new data through tables containing descriptive information. The findings presented here demonstrate the range of information available through IPEDS; they include only a sample of the information collected and are not meant to emphasize any particular issue. A glossary of IPEDS terms is also provided.
