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This report analyzes course failure rates at OCCC, comparing them by instructor position and level. It delves into factors affecting student success and offers insights for improvement.
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Report of Achieving the DreamData Team November 14,2007
Contents • Comparison of failure rates by instructor position • Comparison of failure rates by instructor • Persistence and Retention by course load • Persistence and Retention by family contribution
Methodology • Achieving the Dream (AtD) defines student success in a course as a grade of A, B, C, or S; students earning a grade of D, F, U or W are defined as unsuccessful. • 1000-level courses were selected by high enrollment (300 or greater) and high failure rates (30% or greater). • 2000-level courses were selected by high enrollment (100 or greater) and high failure rates (30% or greater) • All persistence and retention data is based on the ATD cohort, which includes all students who enter OCCC for the first-time in the fall semester.
Comparison of Failure Rates by Instructor Position Methodology • Compared the failure rates by course by instructor position groupings for each semester since Fall 04. • Faculty • Adjunct • Full-time Staff • Part-time Staff • Identified differences and statistically significant differences between position groupings by course. • Used basic ANOVA with pair-wise comparisons • Identified and compared the range of failure rates by groupings for the Spring 07 Semester. • Identified level of standardization of course. • Textbook • Curriculum • Test • Outcomes
Comparison of Failure Rates by Instructor Position Zero-Level Course Findings • Statistically significant: • College Writing II - Faculty have lower failure rate than Adjunct group. • Elementary Algebra - Adjunct have lower failure rate than Faculty group. • Ranges of failure rate: • Faculty have a smaller range of failure rates for the developmental courses, except for Elementary Algebra. • Adjuncts have a smaller range of failure rates for Elementary Algebra. • Zero Level course by type of contract • Zero Level course by individual instructor
Comparison of Failure Rates by Instructor Position 1000 Level Findings • Statistically significant: • College Algebra - Faculty have lower failure rate than Adjunct group. • U.S. History-Pre Civil War - Adjunct have lower failure rate than Faculty group. • American Federal Government - Adjunct have lower failure rate than Faculty group. • Intro to Psychology - Adjunct have lower failure rate than Faculty group. • Ranges of failure rate: • Faculty have a smaller range of failure rates for English Composition I and U.S. History - Pre Civil War. • 1000 Level course by type of contract • 1000 Level course by individual instructor
Comparison of Failure Rates by Instructor Position 2000 Level Findings • Statistically significant: • Accounting I/Financial - Adjunct have lower failure rate than Faculty group. • World Regional Geography – Is only taught by Adjunct. • Ranges of failure rate: • Faculty have a smaller range of failure rates for Accounting I. • Adjunct have a smaller range of failure rates in Business/Intro to Statistics. • 2000 Level course by type of contract • 2000 Level course by individual instructor
Comparison of Failure Rates by Instructor Methodology • Removed the names of the instructors as well as other identifiers. • Compared the overall failure rates by course by individual instructor combining all six semesters. • Ordered instructors from low to high failure rates. • Examined the range of failure rates for the total group and for the Spring 07 Instructors. • Examined the mean, median and mode for each course.
Comparison of Failure Rates by Instructor General Findings • Ranges of failure rate: • As expected the range for six semesters is much greater than the range for Spring 07. • There is substantial variance in the failure rates of instructors. • Zero-Level courses tend to have a much wider range of failure rates than the 1000 and 2000 level courses. • Mean, Median, Mode • Median is misspelled through out your handouts.
Things to Consider • Consider possible reasons for differences between Faculty and Adjunct failure rates and the implications. • What are the possible reasons for the variance in failure rates by individual instructors? • What is the relationship between standardized curriculum and the variance in failure rates? • If there is substantial variance in failure rate, but the course is standardized, what does that mean? • If there is substantial variance in failure rate but the course is not standardized, what does that mean? • Considering the role of the instructors and curriculum in these courses, what can be done to improve student learning and success?
Persistence and Retention • Fall 2004 and Fall 2005 AtD Cohorts include all students who enter OCCC for the first-time in the fall semester. • Persistence is defined as a student from a fall cohort attending the following spring semester. (Fall to Spring) • Retention is defined as a student from a fall cohort attending OCCC the following fall semester. (Fall to Fall) • Looking at the demographic profile of the two AtD Cohorts in comparison to all students enrolled at OCCC’s during the same time frame, the following differences can be seen: • AtD Cohorts have a higher percentage of males. • AtD Cohorts have a higher percentage of 18-24 year olds. • AtD Cohorts have a higher percentage in all race/ethnic groups except Asian.
Persistence and Retention • Both persistence and retention declined from Fall 2004 Cohort to Fall 2005 Cohort in basically all areas. (Exception: 30-34 age group) • A student in the Fall 2004 Cohort had approximately: • three in five chance of persisting • one in two chance of being successful in spring classes • almost a two in five chance of being retained • less than a one in three chance of being successful in fall classes
Persistence and Retention • Full-time students comprise 56% of the Fall 2004 cohort and 48% of the Fall 2005 Cohort. • Full-time students comprise approximately 40% to 42% of the OCCC total student body • Decline of 8 percentage points in full-time students from Fall 2004 to Fall 2005 • OCCC total full-time students declined 2 percentage points during same time frame • Full-time students persisted and were retained at a significantly higher rate than part-time students.
Persistence and Retention • Family Contribution (FC) is calculated automatically when an individual fills out a Free Application for Federal Student Aid (FAFSA). • FC of less than $1,500 qualifies a student for Oklahoma Tuition Aid Grant (OTAG). • FC of less than $3,950 qualifies a student for PELL.
Persistence and Retention • Over half of both fall cohorts (53%) did not apply for financial aid. • Of those who did apply for financial aid, over half had a FC of $1,500 or less. • Students who did not apply for financial aid persisted at a much lower rate than any other group. • Students who did not apply for financial aid and students whose FC was $1,500 or less were retained at a much lower rate. • Fall 2004 students who had a FC of $1,500 or less declined 31 percentage points from persisting in the spring to being retained in the fall.
Persistence and Retention • Other income groups that had an approximate 30 percentage point decrease between persistence and retention: • Students whose FC was $10,001 to $15,000 decreased 30.1 percentage points • Students whose FC was Greater than $20,000 decreased 29.6 percentage points • Students who did not apply were less successful in their spring and fall classes than any other group. • Even though students whose FC was $1,500 or lower persisted at a high rate, the success rate in spring classes was lower than other groups with the exception of students who did not apply.
Things to Consider • Consider possible reasons for differences in persistence and retention rates between full-time and part-time students. • What are the possible reasons for the variance in peristence and retention rates for students whose FC is $0 to $1,500? • What are some possible reasons that students who did not apply for financial aid are persisting and being retained at a lower rate than any other group.
AtD Data Team Members • Alan Stringfellow • Brandi Henson • E.J. Warren • Harold Case • Joyce Morgan-Dees • Stephen Crynes • Yutika Kim