Student Entry Information Cumulative1 2nd Semester

Slides:



Advertisements
Similar presentations
Student Retention Tracking at UM. How to Define Student Success or Student Retention: First Year Retention (& Second, Third, etc. Year Persistence) Success.
Advertisements

 The University of Hawai ʻ i at Mānoa – Spring 2011.
David Fairris Tarek Azzam
Institutional and Student Characteristics that Predict Graduation and Retention Rates Braden J. Hosch, Ph.D. Director of Institutional Research & Assessment.
© 2012 Boise State University1 Marcia Belcheir, Ph.D. Shari Ellertson, Ph.D. Boise State University Analyzing changes in retention and graduation.
College Completion: Roadblocks & Strategies Appalachian Higher Education Network Conference Asheville, NC – June 10-12, 2014 Presented by: Zornitsa Georgieva.
Pittsburgh Promise Research & Evaluation
The Tension between Student Persistence and Institutional Retention: An Examination of the Relationship between First- Semester GPA and Student Progression.
CCSU Graduation and Retention Rates of Full-Time, First-Time Students October 7, 2009 Presented to the Retention and Graduation Council Dr. Braden J. Hosch.
1 Predicting Success and Risk: Multi-spell Analyses of Student Graduation, Departure and Return Roy Mathew Director Center for Institutional Evaluation.
Undergraduate Persistence and Graduation Rates Bernadette Gray-Little Faculty Council September 15, 2006.
Orientation, Graduation, and Anticipatory Socialization Dissertation Defense Beckie Hermansen Utah State University 12/12/06.
Strategic Plan Setting Retention and Graduation Targets Enrollment Management Advisory Council (EMAC) November 19, 2014.
Evaluating the California Acceleration Project Equity implications of increasing throughput via curricular redesign Craig Hayward Director of Research,
Evaluating the California Acceleration Project Equity implications of increasing throughput via curricular redesign Craig Hayward Director of Research,
June 17, % of our high school students indicate their intention to go on to college. - OUS Post High School Plan Survey, 2003.
Dual Credit and Advanced Placement: Do They Help Prepare Students for Success in College? Mardy Eimers, Director of Institutional Research & Planning Robert.
Regular Versus Shorter University Orientations: A Comparison of Attendee Make-up Carla Abreu-Ellis & Jason Brent Ellis.
How Much of a “Running Start” Do Dual Enrollment Programs Provide Students? James Cowan & Dan Goldhaber Center for Education Data & Research (
WEST VIRGINIA UNIVERSITY Institutional Research WEST VIRGINIA ADVENTURE ASSESSMENT Created by Jessica Michael & Vicky Morris-Dueer.
Board of Trustees Quarterly Data Report Volume 1, Number 2 Graduation and Retention Update January 7, 2014.
High rates of attrition exist among college students in science, technology, engineering and math (STEM) fields, especially among women and minorities.
Diversity Data Resources from the Office of Academic Planning and Institutional Research apir.wisc.edu/diversity.htm.
Undergraduate Student Persistence and Completion: Do Pell Grants Matter? Charles Hatcher, California Competes CAIR Conference, Tongshan Chang, University.
1 Self-Regulation and Ability Predictors of Academic Success during College Anastasia Kitsantas, Faye Huie, and Adam Winsler George Mason University.
The University of Hawai ʻ i at Mānoa ACCESS TO SUCCESS: LEADING INDICATORS WORKGROUP.
Nonparametric Survival Analysis of Undergraduate Engineering Student Dropout Young Kyoung Min 1,3, Guili Zhang 1,4, Russell A. Long 2, Timothy J. Anderson.
SMART. Welcome! Alice Camuti, Ph.D. Director, Career Services Tennessee Technological University.
Identifying At-Risk Students With Two- Phased Regression Models Jing Wang-Dahlback, Director of Institutional Research Jonathan Shiveley, Research Analyst.
Gabriela Garcia John Briggs. Explore whether using an assessment instrument which measures non-cognitive attributes is a predictor of student success.
SCC Office of Institutional Research Fall 2006 Enrollment Update Where we’re coming from and where we’re headed.
Examining the Enrollment and Persistence of Students with Discrepant High School Grades and Standardized Test Scores Anne Edmunds, Ed.D. Higher Education.
· IUPUI · Conceptualizing and Understanding Studies of Student Persistence University Planning, Institutional Research, & Accountability April 19, 2007.
N A T I O N A L A S S O C I A T I O N O F I N T E R C O L L E G I A T E A T H L E T I C S Academic Eligibility Freshman Eligibility.
Enrollment Management Predictive Modeling Simplified Vince Timbers, Penn State University.
Cohort Graduation Rate. Cohort Graduation Rate Trends by Ethnicity 2014 N Size
President’s Special Commission to Improve Graduation Rates Retention & Graduation Presentation to PAC 1.
Vicki A. McCracken, Professor, School of Economic Sciences Fran Hermanson, Associate Director, Institutional Research Academic Performance and Persistence.
Undergraduate Student Persistence & Graduation advisor UI/WSU Advising Symposium September 9, 2011 Joel Michalski, Ph.D. Candidate & Karla Makus, Academic.
Template provided by: “posters4research.com” Academic Performance and Persistence of Undergraduate Students at a Land-Grant Institution: A Statistical.
Underprepared College Student Cohort: Study of Differences in Academic Integration and Social Integration in Synergy Supportive Learning Environment Kim.
Abstract Improving student success in postsecondary education is a key federal, state, and university objective that is inseparable from the focus on increasing.
Academic Performance and Persistence of Washington State University Students Vicki A. McCracken, Professor, School of Economic Sciences Fran Hermanson,
A Statistical Analysis Utilizing Detailed Institutional Data
Building Blocks of Data-Driven Academic Advising Approaches
Community for Excellence Assessment Results
ENROLLMENT AND RETENTION
Kentucky State University
Pace’s Inaugural Retention Conference June 16, 2017
Relationship between Learning Assistants and Persistence to Graduation
University of Michigan
Presented by: Office of Institutional Research (UNCG-IR) November 2017
College and Career Guide
Is High School GPA a Predictor of College Student Success?
The Impact of a Special Advising Program on Students’ Progress
Defining and Measuring Student Success Dr
INSTITUTIONAL DATA UPDATE 1.
DEVELOPING PREDICTIVE ANALYTICS TO IMPROVE RESIDENT GPA PERFORMANCE
Civitas And Illume Sept. 21, 2014.
Dissertation RESULTS by Erin E. Cooper
Propensity Score Matching Makes Program Evaluation Easy
Probation Workshop Counseling Division
Allison Ambrose, PhD Illinois State University
Undergraduate Retention
Access Center Assessment Report
WHERE ARE WE? THE STATE OF DUAL CREDIT/ENROLLMENT IN MISSOURI
Defining Non-Traditional Students for Retention Studies
What can Google Trends Tell You About Your Institution?
Getting to Know Our AHS Undergraduate Students
USG Dual Enrollment Data and Trends
Presentation transcript:

Student Entry Information Cumulative1 2nd Semester Academic Performance and Persistence of Washington State University Students Vicki A. McCracken, Professor, School of Economic Sciences Fran Hermanson, Associate Director, Institutional Research Abstract Improving student success in postsecondary education is a key federal, state, and university objective that is inseparable from the focus on increasing student access. In 2007, WSU appointed a Council to look at retention of WSU students and to develop plans to encourage student graduation. The Council used descriptive institutional data to make recommendations. This research builds on the work of the Council and uses statistical techniques to identify factors associated with retention and success of WSU students. Nationally, freshmen account for over a quarter of all attrition at 4-year public institutions (Tinto, 1993). The results presented here (part of the larger study) focus mainly on the 1st year experience and specifically identity variables that explain student success. Methodology Institutional data for 5 cohorts of students that entered WSU (Pullman) as new freshmen were available. Detail included information about the student prior to enrolling and then at the end of 1st semester, 1st year, and subsequent years. Success was measured by retention and GPA at key points in time and eventual graduation from WSU. Descriptive information provides a context for student success at WSU. Statistical techniques used account for the panel-nature of the data (cohorts of students followed over time) and the discreteness of one of the dependent variables (retained or not). Statistical tests indicate the importance of accounting for cohort (defined by the term that students entered) in the empirical model. Descriptive Information Selected Results Entry term % Retained to GPA Student Entry Information 2nd Semester 2nd Year 1st Semester Cumulative1 2nd Semester HS GPA SAT % Male % Residents 2003 .935 .837 2.86 2.94 3.43 1067 .46 .89 2004 .954 .846 2.84 2.92 3.45 1073 .48 2005 .818 2.81 2.88 1109 .50 .92 2006 .931 .839 2.74 2.90 1104 .90 2007 .939 .815 2.77 3.41 1111 .87 2008 - 3.48 1116 .49 1 GPA entering 2nd year. Explanatory Variables Explanatory variables (individual student basis) include information about Pell eligibility, race, gender, residency, high school GPA, standardized test score (SAT or equivalent), AP courses; and variables related to 1st semester or year in college, such as: Student Recreation Center usage whether a varsity athlete affiliation with Greek system or Honors College simultaneously taking biology/chemistry/math and an interest area in a STEM (Science, Technology, Engineering, and Math) discipline. Variables Semester 1 GPA1 Retained2 Semester 2 GPA1 Rec Center .105** 1.01** .125** SSS .018** 3.01 .023** 1.64 Pell -.038** .77* .72** Race (white) .020** .78* 0.15* .93 Gender (male) -.069** 1.20* -.096** .94 Resident (WA) -.030** 1.38* -.026** 1.48** Athlete .054** 2.70** .050** 2.04** Greek -.003 1.74** .003 1.60** Honors .024** 1.89 .029** 1.23 High School GPA .424** 1.89** .440** 2.50** SAT .162** 1.00 .185** STEM -.108** 1.25* -.129** .97 Biochem math -.040** 2.06* -.050** AP .082** 1.83** .074** 1.50** Others *p<0.05 (2-tailed), **p<0.01 (2-tailed) 1 Results presented are the standardized or beta coefficients from the regression. 2 Results presented are the odds ratios from the logistic regression. Key Findings Persistence and performance in high school, measured by High School GPA, is the best single predictor of College GPA and increases the probability of retention (in a positive manner). Performance on standardized tests, SAT, is a solid (positive) predictor of College GPA but does not significantly impact the probability of retention. Higher Recreation Center usage is associated with higher College GPA and higher probability of retention (a result that continued beyond the first year). Varsity Athlete status increases the odds of a student being retained, and is linked to higher GPAs (all else the same). Federal Pell Grant eligibility is associated with lower College GPAs and probability of retention, indicating financial constraints negatively impact student success. Participation in the Student Support Services Programs increases College GPA but does not significantly impact retention. Students who take the science/engineering “trifecta” courses (Biology/Chemistry/Math) in the first semester and/or have a STEM interest area have significantly lower GPA but are more likely retained during their 1st and subsequent years at WSU. Implications All Retention and GPA models identify consistent and statistically significant predictors of success during the 1st year. However, a large amount of unexplained variation in success suggests that (for modeling purposes) additional variables need to be included. These results suggest an admission process selecting students based on individual potential for success should consider factors other than high school GPA and standardized test scores. Retention efforts should identify students based on other (than high school GPA and standardized test scores) risk factors. Retention at WSU starts to fall below its peers by the start of the 2nd year (at a level of .84 relative to .89 in 2006, CSRDE1). Additional research is underway to identify other risk factors, using more information on the total financial aid package of students, characteristics of the high school attended, self reported expectations of preparedness and difficulties expected in college (BCSSE), SAT writing score…and more. 1 Consortium for Student Retention Data Exchange (CSRDE), University of Oklahoma Reference Tinto, V. 1993. Leaving College: Rethinking the Causes and Cures of Student Attrition (2nd edition). Chicago: The University of Chicago Press.