using a regression discontinuity design to estimate the impact of placement decisions in the los...

21
Using a Regression Discontinuity Design to Estimate the Impact of Placement Decisions in the Los Angeles Community College District Tatiana Melguizo & Bo Kim (USC) Hans Bos (American Institutes for Research) George Prather (LACCD, Retired) Presented at the Research and Planning Group conference, April 2, 2013 This research is funded by a grant from the U.S. Department of Education’s Institute of Education Sciences (IES).

Upload: buddy-parsons

Post on 16-Dec-2015

219 views

Category:

Documents


1 download

TRANSCRIPT

Page 1: Using a Regression Discontinuity Design to Estimate the Impact of Placement Decisions in the Los Angeles Community College District Tatiana Melguizo &

Using a Regression Discontinuity Design to Estimate the Impact of

Placement Decisions in the Los Angeles Community College

District

Tatiana Melguizo & Bo Kim (USC)Hans Bos (American Institutes for Research)

George Prather (LACCD, Retired)

Presented at the Research and Planning Group conference, April 2, 2013

This research is funded by a grant from the U.S. Department of Education’s Institute of Education Sciences (IES).

Page 2: Using a Regression Discontinuity Design to Estimate the Impact of Placement Decisions in the Los Angeles Community College District Tatiana Melguizo &

The Problem

• Community college students have widely varying initial skill levels and the majority arrive with substantial remedial needs in math

• Colleges have to offer classes to meet the needs of their diverse students and have to keep heterogeneity in the classrooms manageable

• Placing students incorrectly can reduce the likelihood that students succeed

Page 3: Using a Regression Discontinuity Design to Estimate the Impact of Placement Decisions in the Los Angeles Community College District Tatiana Melguizo &

Math Placement in the Los Angeles Community College

District

About sixty percent of the entering

students need at least one remedial

class before taking a math class that

counts towards a degree

Page 4: Using a Regression Discontinuity Design to Estimate the Impact of Placement Decisions in the Los Angeles Community College District Tatiana Melguizo &

Some Controversy about Impact of Remedial Education

• Some research finds that remedial education provides the preparation necessary for students to succeed in college (Boylan, Bliss, & Bonham, 1994; 1997; Lazarik, 1997)

• Critics contend that remedial education may hold students back and be ineffective (Calcagno & Long, 2008; Martorell & McFarland, 2011)

• We argue that it depends on how students are placed and how cut points between levels are set

Page 5: Using a Regression Discontinuity Design to Estimate the Impact of Placement Decisions in the Los Angeles Community College District Tatiana Melguizo &

Focus on Cut Points

• Math faculty set the cut points between the different levels based on who applies and how their course offerings are distributed

• If the cut points are too high, too many students languish in remedial courses

• If the cut points are too low, too many students fail higher-level courses and present a challenge to the instructors

• Getting the cut points just right is important

Page 6: Using a Regression Discontinuity Design to Estimate the Impact of Placement Decisions in the Los Angeles Community College District Tatiana Melguizo &

Changing Cut Scores

Page 7: Using a Regression Discontinuity Design to Estimate the Impact of Placement Decisions in the Los Angeles Community College District Tatiana Melguizo &

Different Pathways to Success(Arithmetic vs. Pre Algebra)

Test

Placed in Pre-

Algebra

Placed in Arithmeti

c

Enroll in Pre-

Algebra

Enroll in Arithmetic

No enrollme

nt

Success

Failure

Success

Failure

Next course

Page 8: Using a Regression Discontinuity Design to Estimate the Impact of Placement Decisions in the Los Angeles Community College District Tatiana Melguizo &

Success Above Cut Point

Test

Placed in Pre-

Algebra

Placed in Arithmeti

c

Enroll in Pre-

Algebra

Enroll in Arithmetic

No enrollme

nt

Success

Failure

Success

Failure

Next course

Direct but academically challenging

Page 9: Using a Regression Discontinuity Design to Estimate the Impact of Placement Decisions in the Los Angeles Community College District Tatiana Melguizo &

Success Below Cut Point

Test

Placed in Pre-

Algebra

Placed in Arithmeti

c

Enroll in Pre-

Algebra

Enroll in Arithmetic

No enrollme

nt

Success

Failure

Success

Failure

Next course

A less academically challenging but more time-consuming trajectory

Page 10: Using a Regression Discontinuity Design to Estimate the Impact of Placement Decisions in the Los Angeles Community College District Tatiana Melguizo &

The Impact Question

• For a student at the margin, does the longer road to success produce better results?

• Is greater likelihood of success worth

the extra time and effort?

The Policy Question

• Are cut points between math placement options set correctly?

Page 11: Using a Regression Discontinuity Design to Estimate the Impact of Placement Decisions in the Los Angeles Community College District Tatiana Melguizo &

Using Regression Discontinuity to Evaluate Placements

• Regression discontinuity analysis is the strongest non-experimental method to estimate causal effects

• It depends on a continuous forcing variable and an exogenously established cut point

• Those two conditions are present in this situation

Page 12: Using a Regression Discontinuity Design to Estimate the Impact of Placement Decisions in the Los Angeles Community College District Tatiana Melguizo &

Ou

tcom

e

Placement Test Score

Regress

ion Line

Arithmetic

Pre-Algebra

Imp

act

Page 13: Using a Regression Discontinuity Design to Estimate the Impact of Placement Decisions in the Los Angeles Community College District Tatiana Melguizo &

Analytical Details

• Not everyone follows the placement test’s recommendation

• Some students enroll below or above their placement level

• Compliance was high

• Impacts are estimated using discrete time survival analysis implemented within a regression discontinuity framework

• The density of the forcing variable around the cut point was normal (confirmed with McCrary test)

Page 14: Using a Regression Discontinuity Design to Estimate the Impact of Placement Decisions in the Los Angeles Community College District Tatiana Melguizo &

The Impact of Placement Decisions Needs to be Observed

Over Time

Page 15: Using a Regression Discontinuity Design to Estimate the Impact of Placement Decisions in the Los Angeles Community College District Tatiana Melguizo &

The Impact of Placement Decisions Needs to be Observed

by College

Page 16: Using a Regression Discontinuity Design to Estimate the Impact of Placement Decisions in the Los Angeles Community College District Tatiana Melguizo &

The Impact of Placement Decisions Needs to be Observed

by Level

Page 17: Using a Regression Discontinuity Design to Estimate the Impact of Placement Decisions in the Los Angeles Community College District Tatiana Melguizo &

Students are not Being Placed Effectively in the Higher Levels

(Elementary versus Intermediate Algebra)

Page 18: Using a Regression Discontinuity Design to Estimate the Impact of Placement Decisions in the Los Angeles Community College District Tatiana Melguizo &

Students Placed in Lowest Levels Accumulate More Degree

Applicable Credits

Page 19: Using a Regression Discontinuity Design to Estimate the Impact of Placement Decisions in the Los Angeles Community College District Tatiana Melguizo &

Placement in Less Effective in Terms of Transfer Degree Credit

Accumulation

Page 20: Using a Regression Discontinuity Design to Estimate the Impact of Placement Decisions in the Los Angeles Community College District Tatiana Melguizo &

Conclusions

• Cut points between elementary algebra and intermediary algebra may be set too high as marginal students do worse in elementary algebra

• At lower levels the cut points appear to be in the right place

• For students placed in lower levels of math sequence, there is no penalty in terms of accumulating 30 degree applicable credits

• For students placed in higher levels there is a penalty in terms of completing 30 transfer credits

Page 21: Using a Regression Discontinuity Design to Estimate the Impact of Placement Decisions in the Los Angeles Community College District Tatiana Melguizo &

THANK YOU!

Questions

Tatiana Melguizo

[email protected]

http://www.usc.edu/dept/education/rossier_faculty/tmelguizo/