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COMPARISON OF THREE METHODS OF PLACEMENT AND ADVISEMENT INTO FRESHMEN MATHEMATICS COURSES AND THE EF

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Title: COMPARISON OF THREE METHODS OF PLACEMENT AND ADVISEMENT INTO FRESHMEN MATHEMATICS COURSES AND THE EF


1
COMPARISON OF THREE METHODS OF PLACEMENT AND
ADVISEMENT INTO FRESHMEN MATHEMATICS COURSES AND
THE EFFECT ON EVENTUAL DEGREE COMPLETION
  • ACMS Meeting
  • February 1, 2007
  • Walter Cotter

2
Institutional Experiences
Pre Entry Attributes
Goals Commitments
Integration
Goals Commitments
Outcome
Academic Systems
Academic Integration
Family Background
Intentions
Intentions
Skills and Abilities
Departure Decision
Goals Institutional Commitments
Goal Institutional Commitments
Prior Schooling
Social Integration
External Commitments
External Commitments
Social Systems
TIME
Tintos Model Of Institutional Departure
3
Institutional Experiences
Pre Entry Attributes
Goals Commitments
Integration
Goals Commitments
Outcome
Academic Systems
Formal
Academic Performance
Academic Integration
Family Background
Intentions
Intentions
Faculty/Staff Interactions
Informal
Skills and Abilities
Departure Decision
Goals Institutional Commitments
Goal Institutional Commitments
Formal
Extracurricular Activities
Prior Schooling
Social Integration
External Commitments
External Commitments
Peer-Group Interactions
Intervening Variables
Informal
Social Systems
TIME
Tintos Model Of Institutional Departure
4
Study Design
Tertiary Measure
Primary Measure
Secondary Measure
Treatment
Group
Status Spring 2004 Dropout/Graduate Persist
1998 Control
Quality Points Spring 1999
Grade 1st Math Course
2001 COMPASS Advice
Grade 1st Math Course
Quality Points Spring 2002
Status Spring 2005 Dropout/Graduate Persist
X
2002 COMPASS Prescribe
Quality Points Spring 2003
Status Spring 2005 Dropout/Graduate Persist
Grade 1st Math Course
Y
5
Data Collection
  • January 5, 2006 all the data was collected and
    scrubbed.
  • Office of the Dean of the College of Education
    provided a database with every individual who was
    active from fall of 1998 2005.
  • Over 100,000 students.
  • Over 1.7 million grades.
  • Subjects were selected from this pool.
  • First time freshmen enrolled in a math course
    their first semester.

6
Table 2 Page 70 SAT Verbal and SAT Mathematics
Means and Standard Deviations for 1998 2002
Difference is about 20 of a SD
Part of a state and national trend
532.97 518.06 14.91
7
Research Questions
  • What is the relationship between COMPASS score
    and grade in the initial, freshman math class?
  • Is there a link between performance in the first
    two terms as measured by quality points and
    eventual degree completion?
  • Does placement treatment have an effect on the
    odds of degree completion?
  • What effect do other intervening variables have
    that may contribute to our understanding of this
    problem?

8
Findings Research Question 1
  • What is the relationship between COMPASS score
    and grade in the initial, freshman math class?

9
Math Modeling 1101
  • Cut Score 30 on Algebra subtest
  • 545 71 474

What actually happened.
Advised to take 1101.
Advised not to take 1101.
10
Table 5 page 73
11
Math 1111
  • Cut Score 40 on Algebra subtest
  • 535 57 478

12
Table 7 page 75
The odds of success are 3.15 times greater for
those who scored above 40.
13
(No Transcript)
14
Conclusion about COMPASS
  • What is the relationship between COMPASS score
    and grade in the initial, freshman math class?
  • Odds tables suggest COMPASS can predict.
  • Logistic regression shows how weak the
    relationship is.
  • High School GPA is a much better predictor.

15
Findings Research Question 2
  • Is there a link between performance in the first
    two terms as measured by quality points and
    eventual degree completion?

16
1998 All Classes Graduation Count vs. Quality
Points
17
1998 All ClassesQuality Point vs. Graduation
18
Table 15 page 82
19
Conclusions about Quality Points
  • This result suggests that for each one unit
    increase in the quality points earned by the end
    of the first year the odds of graduation are
    1.042 times better.
  • 66.5 quality points will serve as the threshold
    for a 50 chance of graduation.
  • 76.5 quality points was determined to be the
    threshold for a 60 chance of graduation.

20
Findings Research Question 3
  • Does placement treatment have an effect on the
    odds of degree completion?

21
Table 20 page 85
22
Table 22 page 87
The odds of success are 1.48 times greater for
those who received Treatment 1.
23
Tables 25 26 page 89
Negative association contradicts odds.
24
Conclusions about Treatments
  • Mixed results
  • Ambiguity resolved with Question 4.

25
Findings Research Question 4
  • What effect do other intervening variables have
    that may contribute to our understanding of this
    problem?
  • GSU 1010
  • Math 1101
  • Learning Communities

26
Table 28 page 90
Stepwise forward Wald procedure for entering
variables.
27
Negative Association
  • Treatment 1, Treatment 2 and GSU 1010 have a
    negative association when controlling for the
    rest of the variables in the model.
  • The ambiguity seen for the treatments in question
    3 are the result of Math 1101.

28
Math 1101
29
Grade in 1st Math Class
  • The effect of the Math 1101 is in turn dwarfed by
    the effect of the students performance in the
    initial math class.
  • For every letter grade increase in the initial
    collegiate math class the odds of earning 66.5
    quality points increases by a factor of 2.275.
  • Simply stated the better the student does in the
    initial math class the better the student does in
    their first year.

30
Conclusions about Intervening Variables
  • Treatments appear to have a negative effect on
    success.
  • Math 1101 has a strong positive effect on
    success.
  • Learning Communities are associated with success
    but only about 20 of the class participates.

31
Implications
  • Put every resource available into the first math
    class.
  • Tutoring
  • Supplemental Instruction
  • Identify successful instructors
  • Criterion based placement instrument.
  • Communicate the importance of the 1st college
    math class to high school seniors.

32
Conclusions
  • COMPASS does predict, but not very well. High
    school GPA does much better.
  • For each one unit increase in the quality points
    earned the by the end of the first year the odds
    of graduation are 1.042 times better.
  • COMPASS/Advise and COMPASS/Prescribe are not very
    useful.
  • Math 1101 has had a strong positive effect on the
    success of freshmen.
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