Pilot College Implementation Resources
Click on the links below to access numerous resources designed for pilot colleges participating in the Multiple Measures Assessment Project, and available to any California Community College interested in learning more about how to adopt this approach on its campus. Find implementation guides, tools, exemplars, and information in the following categories:
Current Rule Sets, Phase II
Placement Models for English, Math, Reading, and ESL Using High School Transcripts, May 2016
Summary of decision rules for placing students in English, Math, Reading, and ESL (Top Level L1) using high school transcript-based placement.
Math Decision Trees Output, April 2016
Decision tree output used for the creation of math high school transcript-based placement.
English Decision Trees Output, January 2016
Decision tree output used for the creation of English high school transcript-based placement.
Reading Decision Trees Output, May 2016
Decision tree output used for the creation of reading high school transcript-based placement.
ESL Decision Trees Output, March 2016
Decision tree output used for the creation of ESL high school transcript-based placement.
How to Use the Models, Presentation with Examples, October 2015
Presentation delivered at the October 2015 Convenings.
Previous Iterations of Phase II Rule Sets
Decision Rules for English, Math, Reading, and ESL, Phase II, February 2016
Previous iteration of the statewide decision rules for placing students in English, Math, Reading, and ESL from early in Phase II.
ESL Decision Trees Output, Phase II, February 2016
Decision tree output used for the creation of ESL high school transcript-based placement rules for Phase II of the project.
Phase I Rule Sets
Creating College Level Decision Rules
Using R for Creating Predictive Models
This R Code can be used to create the decision rules for your college using the Retrospective file from Cal-PASS Plus.
Retrospective File Data Element Dictionary
Variables and definitions of the data used in the Retrospective Analysis to create the decision rules for your college; files will assist you in replicating the statewide models using your local data.
Enrollment Impact Projection for Math and English
Graph showing projected Impact of MMAP on placement level in first math or English courses
Note: Students receiving a valid grade in their first math or English course at the indicated college were linked to their respective high school transcript data in Cal-PASS Plus. Data was limited to students from high schools that have submitted data to the Cal-PASS Plus system.
The "Test" columns show the percentage of actual enrollment by course college level (MIS data element CB21) for this group of students. The "MMAP" column shows, for this same group, the level of placement that would have resulted from applying MMAP criteria disjunctively (taking the higher placement between assessment and recommendation based on high school data).
Projections shown are based on a retrospective convenience sample.
It is strongly recommended that colleges seeking impact estimates in terms of headcounts to obtain these from local sources which take into account the logic of existing or anticipated placement systems and policies affecting which students receive placement according to the MMAP criteria.
Student Transcript Crosswalk for Math, English, ESL, and Reading
Crosswalk that can be used when looking at a students' transcripts to determine where they should be placed using the statewide models; document will be of particular interest to counselors and assessment center staff responsible for assigning MMAP placements to students.
Word Version of Crosswalk
We have provided the crosswalk in Word so colleges can make changes based on differences in their course names and sequences.
MMAP Prospective File Walkthrough
Guide for colleges to upload their Student Cohort File to Cal-PASS Plus in order to receive back the Prospective Data File; data upload includes items required for Cal-PASS to match your students to their high school transcript data, and provide the assessment level based on the decision tree output.
Prospective File Data Element Dictionary
Variables and definitions for the data that will be returned to a college after you upload your Student Cohort File; file includes the recommended assessment levels based on the decision tree output, as well as high school transcript information.
Data Upload to Cal-Pass Plus for Cohort Match Guide, October 2015
Guide to walk pilot colleges through the process of uploading and downloading a cohort to Cal-PASS Plus; includes the steps needed to complete the Student Cohort File upload including the variables to provide to Cal-PASS to make a match, where to go to upload the file, how to retrieve the file after it has been matched, and the data elements sent back to you.
Use the resources and links below when your college is ready to submit your MMAP data.