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Quantitative Data Presentation 

Rutgers UniversityEducation & Employment Research

CenterSchool of Management and Labor

RelationsJanice H. Levin Building

94 Rockafeller RoadPiscataway, NJ 08854

 www.smlr.rutgers.edu

Role as Third Part Evaluators

Heather McKay, Director – hmckay@work.rutgers.edu Debra Borie-Holtz, Senior Research Analyst –

dbholtz@rutgers.edu Suzanne Michael, Senior Research Analyst -

sm1246@rci.rutgers.edu Laura Barrett, Senior Program Coordinator -

laurabar@rci.rutgers.edu

Renee Edwards – Senior Project Manager – redwards@work.rutgers.edu

Joseph Rua – Research Analyst – joseph.rua@rutgers.edu Jim Lloyd – Research Associate – james.lloyd@rutgers.edu

Ian Markey – Research Associate – ian.markey@gmail.com

Validation of DataAttainment of TAACCCT goalsComparison CohortImpact of Career Counseling

What Are We Measuring?

Quantitative:Validation of dataComparative CohortSample Methods – TAA Round 1

Qualitative: Process

Method of Analysis

Primary Outcomes of Interest Labor market outcomes of interestJob placementCareer advancementEarned wagesJob retention

Educational outcomes of interestCredentials and degrees attainedProgram retentionProgram completionAdvanced/continuing education for completers

Comparison Cohort

Monthly Report + Individual Tracking System

The Navigators will submit two reports on a monthly basis

Monthly Activity Report – Collects Information on Non-Advising work such as:Outreach efforts Employer RecruitmentKey Meetings (Faculty, Workforce Center, etc)

Individual Tracking System (uploaded into Monthly Activity Report) – Collects information on intensive advising efforts such as:Student EligibilitiesReason for VisitReferrals MadeHow Student Heard About the Program (for targeted outreach)

◦ Course Unit of Analysis – This dataset contains basic data on every course redesigned under the grant or in the redesigned curriculum by student.

◦ Student Unit of Analysis – This dataset contains basic demographic data on served CHEO students.

◦ Course History – This dataset takes the individual students found in the Course Unit of Analysis (those sitting in redesigned course/curriculum) and provides basic data on their enrollment history

◦ UI Data – This dataset contains the student’s wage data. This allows us to identify incumbent workers as well as those students employed after program completion.

Templates

Codebook

The Codebooks can be found here. These codebooks contain the following and will be regularly updated.◦Dataset the variables are stored◦Variable Description◦Variable’s COGNOS Name◦Variable Example

Pathways

We are currently constructing a “Pathways document” that will contain information on the following:

What programs are redesigned under CHAMP?

What courses are part of these CHAMP programs?

What semesters did these courses run?

What is the specific course information on these courses?

This information is very important because this course information with be cross referenced with CCCS’s “course bible” and serve as a validation of that information. This document is also what the data pulls by IAN at CCCS will be based off of. Therefore, you will receive a document fro us and we will ask you to validate the document and add all missing information in order to ensure it is accurate and up to date.

Calendar

Our Reporting Calendar can be found at the hyperlink below. This calendar will contain the dates that reports are sent out on and due in by as well as the dates that we will be requesting data pulls from CCCS.

We will also be able to integrate your academic calendar into this document as well so that we know when your semesters begin and end.

CHAMP QUANT REPORTING CALENDAR

Two tabs – System Schools and Non-System Schools◦ Non-System Schools’ tab includes dates of data requests

Data codebook?◦ Grade Scale – Standard? Best way to obtain grading scales (course information,

syllabi, etc)?◦ Passing grade requirement for curriculum/CHAMP courses

Academic Semester Calendar◦ Academic Year schedule (AY)◦ Drop/Add periods◦ Term codes◦ Summer session? Winter Session?

Registration schedule ◦ Drop/Add periods◦ Registrar codes (i.e. withdrawals, drops)

Our “Ask” List: Questions for You

Discuss Data Collection Form◦ Are definitions the same?

Access to wage data for labor analysis ◦ What’s included? (Quarterly wage date, VE-135, other)

Legacy programs?◦ Comparable curriculum?◦ What years did they run?

Grant Priorities◦ MOU◦ Changes proposed or adopted since signed◦ Targeted students (by number and background)

Our “Ask” List (cont’d)

Your Questions for Us?

What’s on your minds? What questions do you have for us?

What would you like us to include in our observations about your college’s story?

Outcomes you would like us to measure for you?

Areas that need further clarification?

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