data collection process: usdol data requirements colleges must be able to identify grant...
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Data Collection Process: USDOL Data Requirements Colleges must be able to identify grant participants by program (credit & non-credit)
I. Initial Point of Contact• Social Security Number• Name and Contact Information• U.S. Citizenship• Employment Status At Initial Enrollment• Wages At Initial Enrollment• Gender• Ethnicity/Race• Age• Disability Status• Veteran Status• TAA Eligible
II. College Student System (Credit and Non-Credit)• Social Security Number• TAA Eligible and Grant Participant• Name and Contact Information• U.S. Citizenship• Employment Status At Initial Enrollment (Source:DWD)• Wages At Initial Enrollment (Source:DWD)• Gender• Ethnicity/Race• Age• Disability Status• Veteran Status• Pell Eligibility• Student Status (full or part-time)
• Highest Education Level Completed Upon Entry• Educational Goal (degree or certificate)• Basic Skill Deficiency Reading-Assessment Score• Developmental Reading Level---One Level Below College Level,
Two Levels Below College Level, or Three or More Levels Below College Level.
• Basic Skill Deficiency English-Assessment Score• Developmental English Level---One Level Below College Level,
Two Levels Below College Level, or Three or More Levels Below College Level.
• Basic Skill Deficiency Mathematics-Assessment Score• Developmental Mathematics Level---One Level Below College
Level, Two Levels Below College Level, or Three or More Levels Below College Level.
• Campus Code• Program Code• Term Code and Start Date• Credit or Non-Credit Code• Entering Student Status • Term Credit Hours Attempted• Term GPA• Term Credit Hours Completed
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Data Collection Process: USDOL Data Requirements Continued
III. Tracking and Performance Outcome Data
• Each college will track implementation of programs and related strategies
• Developmental Skill Improvement (course grades, re-test on assessment instrument, etc.)
• Term to term retention• Program (degree or certificate
completion)• Non-Credit to Credit program
movement• Transfer or Continuing Education
upon program completion• Employment Status upon program
completion (1st, 2nd, and 3rd quarters, Source: DWD/DED)
• Wage data upon program completion (1st, 2nd and 3rd quarters, Source: DWD/DED)
IV. Action
Implementation progress and performance measures will be shared with the Consortium and colleges on a quarterly and annual basis.
Based on thoughtful interpretation of data, colleges will undertake steps to ensure continuous program improvement?
Use Data & Thoughtful
Interpretation For Continuous
Improvement
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USDOL Evaluation Framework: Participant & Comparison Cohorts
GRANT PARTICIPANT UNIVERSE:
Participant Cohort---Subset
of Total Grant Participant Universe :
Matched
NON-TAACCCT-FUNDED UNIVERSE
Comparison Cohort---Subset of
Non-Grant Participant Universe :
Participant Cohort and Comparison Cohorts Are Matched On Key Demographic Variables---Age and Gender At A Minimum
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Why is DOL Requiring Participant and Comparison Cohorts?
• Meets the goal of “Continuous Improvement”
• DOL hopes to learn from the cohort information:– Did the TAACCCT program design/ updates/changes
that were proposed and implemented have a positive effect on students who went through the new/updated/revised program, as compared with students who did not?• Education retention and completion• Job placement, retention and earnings
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Participant Cohort To Comparison Cohort Analysis Will Focus On Key Tracking and Outcome Variables
• Program Completion
• Retained in Program
• Retained in Other Program
• Credit Hours Completed
• Developmental Skill Improvement
• Earned Credentials
• Further Education After Graduation
• Employment After Graduation
• Employment Retention
• Earnings
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