discretionary grants: data collection, processing & reporting 1 back-to-basics - discretionary...
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Discretionary Grants: Data Collection, Processing & Reporting
Back-to-Basics -Discretionary Grants
Data Collection, Processing & Reporting
Employment and Training AdministrationU.S. Department of LaborFrances Perkins Building200 Constitution Avenue, NWWashington, DC 20210www.doleta.gov
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Discretionary Grants: Data Collection, Processing & Reporting
Data Collection
Data Processing
Reporting Requirements
Session Objectives
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Note: The discretionary grantees that are the focus of this session are those subject to USDOL’s common measures (e.g., High-Growth and Community-Based Job Training Grantees)
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Discretionary Grants: Data Collection, Processing & Reporting
Reports and Information
Reports and Information
Data Collection
Data Collection
Data Processing
Data Processing
“What matters in the end isCompletion. Performance.Results. Not just making promises, but making good on promises. - President’s Management Agenda -
Performance Management
See Handouts 1 and 2
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Discretionary Grants: Data Collection, Processing & Reporting
29 CFR Parts
95 & 97
29 CFRPart 37
PublicLaw
107-288
Grant Agreement
Federal Requirements
Data Collection & Reporting Requirements
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Discretionary Grants: Data Collection, Processing & Reporting
Data Collection—IntroductionData Collection—Introduction
Process used to gather and collect information for the management of the project
To develop a tracking mechanism, must address four fundamental questions:
What information needs to be collected and in what format?
Where does the grantee obtain the information?
When does the information need to be collected?
How does the grantee know the information is accurate/valid?
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Discretionary Grants: Data Collection, Processing & Reporting
Data Collection—What Information To Collect?Data Collection—What Information To Collect?
What information is needed?
Start with grant proposal and grant award documents
Review goals, objectives, & expected outcomes for your grant
Review Work Plan, Service Flow Chart, Performance Measures, Project Deliverables, etc.
Involve internal staff and external partners in the process of identifying data collection elements
They know what format it comes in and when the information is collected
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Discretionary Grants: Data Collection, Processing & Reporting
Case Management
Cycle
Application/ Intake/Eligibility
Data Collection—Service FlowData Collection—Service Flow
Service Delivery
Job Development Exit &
Follow-Up
Service Planning
Assessment
See Handout 3
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Discretionary Grants: Data Collection, Processing & Reporting
Data Collection—Participant CharacteristicsData Collection—Participant Characteristics
Types of individual characteristic information to collect includes:
Participant contact and emergency contact information (e.g., name, address, telephone)
Information to assess a person’s eligibility for the project (tailored to each grantee based on definition/information from the proposal)
EEO information (e.g., age, sex, ethnicity, race, and disability status)
Veteran’s characteristics and status
Continued
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Discretionary Grants: Data Collection, Processing & Reporting
Data Collection—Participant CharacteristicsData Collection—Participant Characteristics
Continued from previous slide
Education information (e.g., highest school grade completed)
Employment status at enrollment and past/current employment information
Information about supportive service needs and additional reportable characteristics (e.g., offender, runaway, low income, single parent, etc.)
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Discretionary Grants: Data Collection, Processing & Reporting
Data Collection—Participant ServicesData Collection—Participant Services
Collect information about the services provided to individual participants
Types of services in which the participant is enrolled
Some examples include career guidance services, job search assistance activities, supportive services, customized training, on-the-job training, apprenticeship training, occupational skills training, Adult Basic Education/ English Second Language training
Participation or service enrollment dates
Service completion dates
Training provider information
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Discretionary Grants: Data Collection, Processing & Reporting
Data Collection—Participant OutcomesData Collection—Participant Outcomes
Common Measures Initiative
Why use common measures?
Ability to describe in a similar manner the core purposes of the workforce system—how many people found jobs? Did they stay employed? What did they earn?
Enhance ability for different programs to collaborate by reducing multiple reporting requirements
Ability to analyze program outcomes and develop effective program strategies
Ability to compare results of similar government programs
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Discretionary Grants: Data Collection, Processing & Reporting
DOL Common Measures PolicyDOL Common Measures Policy
Common measures is required for ETA formula-funded grants and some discretionary grants
High growth and community-based grantees are subject to the common measures policy
Training and Employment Guidance Letter (TEGL) No. 17-05, dated February 17, 2006 details DOL policy for common measures
See TEGL 17-05
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Discretionary Grants: Data Collection, Processing & Reporting
What Common Measures Apply to Your Grant?What Common Measures Apply to Your Grant?
Adult Measures
Entered Employment
Employment Retention
Average Earnings
Youth Measures
Placement in Employment or Education
Attainment of a Degree or Certificate
Literacy or Numeracy Gain
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Discretionary Grants: Data Collection, Processing & Reporting
Required Definitions—ParticipantRequired Definitions—Participant
Participant = An individual determined eligible to participate in the program who receives a service funded by the program in either a physical location (e.g., One-Stop Center) or remotely through electronic technologies
You need to determine what services trigger participation in your grant
You may need to capture information about services provided remotely
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Discretionary Grants: Data Collection, Processing & Reporting
Required Definitions—Other Terms Related to ParticipationRequired Definitions—Other Terms Related to Participation
Participation Date: Date of first program-funded service
It’s possible to record an earlier date if services were being provided by another partner at the time of participation
Discretionary grantees, however, cannot report a participation date that begins before the actual period of performance in the grant award document
Participation Quarter: Calendar quarter containing the participation date (e.g., If 1st service is 4/22/07 then participation quarter is 2nd CY quarter)
Participant Cohort: Group of individuals who share the same participation quarter
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Discretionary Grants: Data Collection, Processing & Reporting
Required Definitions—ExitRequired Definitions—ExitExit: A participant who hasn’t received a program or partner-funded service for 90 consecutive days and no future services are scheduled has exited the program
1. Hasn’t received a service
2. No service received for 90 consecutive days
3. No future services scheduled (does not include any follow-up services or circumstances where the participant voluntarily withdraws or drops out of the grant)
For example, if a participant completes training on 2/13/2007 and planned to take one additional specialty course but then failed to do so, the exit date would be retroactive to 2/13/2007.
Discretionary grantees cannot report an exit date that extends beyond the actual period of performance in the grant award document
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Discretionary Grants: Data Collection, Processing & Reporting
Required Definitions—Other Terms Related to ExitRequired Definitions—Other Terms Related to Exit
Exit Quarter: Calendar quarter containing the exit date
For example, the exit quarter for individuals exiting on 2/13/2007 would be Q1 of 2007
Exit Cohort: Group of individuals who exit during the same calendar quarter.
For example, all participants that exit between 1/01/07 and 3/31/07 are in the same exit cohort
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Discretionary Grants: Data Collection, Processing & Reporting
Last ServiceDate Triggers
Exit Date
Date of 1st
Service Triggers
Participation Date
Gap inServicesAllowed
(see TEGL 17-05Page 22)
No ServicesReceived for
90 ConsecutiveDays
Follow-upDiscussed
in TEGL 17-05(see TEGL 17-05
Pages 20-21)
Service DeliveryService Delivery
Eligible &Receives Grant
Services
ParticipantReceiving Grant
Services
Last ServiceReceived & No
Future Services Scheduled
ParticipantReceivesFollow-upServices
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Discretionary Grants: Data Collection, Processing & Reporting
Basic Common Measurement — Rules and ConceptsBasic Common Measurement — Rules and Concepts Only participants are included in performance calculations
Specific conditions exclude participants from calculations, such as being employed on the date of participation means excluded from the entered employment measure
Global exclusions if participant becomes (1) institutionalized, (2) invalid or missing SSN, (3) terminates due to health/medical or family care, (4) dies, (5) is a reservist called to active duty, and (6) relocates to a residential or non-residential program (applies to youth).
Calculations are based on exiters
Exception is Youth Literacy/Numeracy because based on one year from participation date
Each measure is based on a specific cohort
For example, a person who was unemployed on their participation date and exits on 4/28/07 would be in the entered employment rate cohort of Quarter 3 of 2007 (July 1-September 30, 2007)
Specific data sources must demonstrate the outcomes
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Discretionary Grants: Data Collection, Processing & Reporting
Exit CohortsExit Cohorts
Exit Cohorts
Oct 1 -
Dec 31
Jan 1 –
Mar 31
Apr 1 –
Jun 30
Jul 1 –
Sep 30
Jan 1 –
Mar 31
Apr 1 –
Jun 30
Jul 1 -Sep 30
Oct 1 -
Dec 31
Apr 1 –
Jun 30
Jul 1 –
Sep 30
Oct 1 –
Dec 31
Jan 1 –
Mar 31
Jul 1 –
Sep 30
Oct 1 -Dec 31
Jan 1 -Mar 31
Apr 1 –
June 30
Exit Participant Exit Quarter
Q1 1st Quarter After Exit Quarter
Q2 2nd Quarter After Exit Quarter
Q3 3rd Quarter After Exit Quarter
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Discretionary Grants: Data Collection, Processing & Reporting
Pay stubsProgress ReportsSurveysSelf-attestation formsCopy of DiplomaTraining Certificates InterviewsPublic Agency RecordsStudent ID
Social Security CardDriver’s License/ID CardHospital Records Intake/Eligibility FormsAttendance SheetsSign-In SheetsSchool RecordsActivity FormsAssessment Results
Data Collection—Where to Get the Information?
Source DocumentationSource Documentation
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Discretionary Grants: Data Collection, Processing & Reporting
Wage Records—Data Source for Outcomes MeasuresWage Records—Data Source for Outcomes Measures
Discretionary grantees that are State and local workforce investment boards or one-stop providers will most likely have access to wage record data
Employers are required to send confidential quarterly reports of wage earners and their wages for the respective calendar quarter
The majority of discretionary grantees, however, will not have access to Unemployment Insurance (UI) wage records
The following websites provide fee-based access to employment verification and wage information, but not all employers provide information to these sources: (1) http://www.theworknumber.com/; (2) https://www.verifyjob.com/; and (3) http://www.usverify.com/incomeverify.html
See Handout 6
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Discretionary Grants: Data Collection, Processing & Reporting
Wage Records—Data Source for Outcomes Measures (cont’d)Wage Records—Data Source for Outcomes Measures (cont’d)
Wage records are the preferred source of information for calculating common measures
The proposed reporting package for HG/CB job training grantees would require grantees to submit quarterly participant records for each exiter to ETA containing 4 data elements
ETA would then use these records to obtain wage record data and calculate the common measures for grantees
This is proposed!
See Handout 6
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Discretionary Grants: Data Collection, Processing & Reporting
Supplemental Data SourcesSupplemental Data Sources
Most discretionary grantees will need to use supplemental data sources to verify employment and wages
Copy of a participant’s pay stub
Employer contact—telephone or written verification
Participant contact—telephone, participant surveys or written self-attestation form
Case management notes
All supplemental data sources must be documented in participant case files and are subject to audit
See Handout 6
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Discretionary Grants: Data Collection, Processing & Reporting
Data Sources for Measures Not Related to EmploymentData Sources for Measures Not Related to Employment
Pertains to all three youth measures
Youth Placement in Employment or Education
Administrative records utilized for placement in education (wage records or supplemental data for employment portion)
Attainment of Degree/Certificate
Administrative records utilized
Literacy and Numeracy Gains
Assessment instrument
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Discretionary Grants: Data Collection, Processing & Reporting
Entered EmploymentEntered Employment
Of those who are not employed at the date of participation:
Number of adult participants who are employed in the 1st quarter after the exit quarter
Number of adult participants who exit during the quarter
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Discretionary Grants: Data Collection, Processing & Reporting
Entered EmploymentEntered Employment
Employed atParticipationDate?
Employed in1st quarterafter exit?
Excluded from Measure
Numerator
Denominator
YES
NO
NO
YES
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Discretionary Grants: Data Collection, Processing & Reporting
Employment RetentionEmployment Retention
Of those who are employed in the first quarter after the exit quarter:
Number of adult participants who are employed in both the second and third quarters
after the exit quarter
Number of adult participants who exit during the quarter
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Discretionary Grants: Data Collection, Processing & Reporting
Employment RetentionEmployment Retention
Employed in 1st quarter after exitquarter?
Employed in2nd and 3rd
quarters afterexit quarter?
Excluded from Measure
Numerator
Denominator
NO
YES
NO
YES
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Discretionary Grants: Data Collection, Processing & Reporting
Earnings MeasureEarnings Measure
Of those adult participants who are employed in the first, second and third quarters after the exit quarter:
Total earnings in the second quarter plus total earnings in the third quarter after the exit quarter
Number of adult participants who exit during the quarter
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Discretionary Grants: Data Collection, Processing & Reporting
Average Earnings Average Earnings
Employed in 1st quarter afterexit quarter?
Employed in2nd and 3rd
quarters afterexit quarter?
Excluded from Measure
Numerator = Wages from quarters 2 & 3, post-exitincluded
Denominator = Number ofadult participants who exitduring the quarter
No
Yes No
Yes
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Discretionary Grants: Data Collection, Processing & Reporting
Youth Placement in Employment or EducationYouth Placement in Employment or Education
Of those who are not in post-secondary education or employment (including the military) at the date of participation:
Number of youth participants who are employed (including military) or enrolled in post-secondary education and/or advanced training/occupational skills training in the first
quarter after the exit quarter
Number of youth participants who exit during the quarter
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Discretionary Grants: Data Collection, Processing & Reporting
Youth Attainment of a Degree or CertificateYouth Attainment of a Degree or Certificate
Of those who are enrolled in education--at the date of participation or at any point during the program:
Number of youth participants who attain a diploma, GED, or certificate by the end of the third quarter
after the exit quarter
Number of youth participants who exit during the quarter
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Discretionary Grants: Data Collection, Processing & Reporting
Youth Literacy and Numeracy GainsYouth Literacy and Numeracy Gains
Of those out-of-school youth who are basic skills deficient:
Number of youth participants who increase one or more educational functioning levels
Number of youth participants who have completed one year of participation in the youth program (one year from date of first program service) plus the number of youth participants who
exit before completing a year in the youth program
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Discretionary Grants: Data Collection, Processing & Reporting
Data Collection—Is That It?Data Collection—Is That It?
While you are required to track information to report on the common measures, other management information continues to be necessary
Collect information relevant to the day-to-day operations of your project (e.g., information about enrollments and counts on various service dimensions)
May collect information to help case managers, job developers, managers, etc. make programmatic decisions
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Discretionary Grants: Data Collection, Processing & Reporting
Data Collection—When to Collect the Information?Data Collection—When to Collect the Information?
Important to develop an information management plan addressing:
How will data be collected?
Information collected verbally, with paper documents or electronically
Who is responsible for the data collection?
Assign responsibility for data collection to specific staff to ensure that expectations are clearly understood
In what format will data be collected?
MS Excel spreadsheet, MS Access, Proprietary system
When will data be collected?
Incorporate deadlines & establish timeframes for all collection tasks
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Discretionary Grants: Data Collection, Processing & Reporting
Data Collection—Is the Information Reliable?Data Collection—Is the Information Reliable?
Ensure data elements are well defined and understood by project staff—this includes contractors
Train all staff on definitions and processing requirements
Note that original source of information more reliable than secondary information
Ensure duplication of effort does not occur in the collection of data
Costly
Lack of Consistency
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Discretionary Grants: Data Collection, Processing & Reporting
Data Processing—IntroductionData Processing—Introduction
Process used to input data and information into a MIS, find and correct errors in the data, and compile and aggregate the information into a user-friendly format
Grantees must address these fundamental questions:
Who has responsibility for data entry, compilation and processing?
How should they validate the data and ensure its integrity?
What management information system will be used to maintain the data?
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Discretionary Grants: Data Collection, Processing & Reporting
Data Processing—Who Has Responsibility?Data Processing—Who Has Responsibility?
The grantee is responsible for ensuring that a system is in place to track participant characteristics, services and outcomes
It is highly recommended that grantees maintain access to data processing and reporting at all times
You need to know what is going on with your grant!
The grantee may contract out for services, but should provide input on how the data is maintained and gathered
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Discretionary Grants: Data Collection, Processing & Reporting
Data Processing—Who Has Responsibility?Data Processing—Who Has Responsibility?
All staff, including sub-recipients staff, need to clearly understand their role in creating, collecting, maintaining, and reporting program data
Understand interrelationship of staff member duties
Understand consequences of missing deadlines, not sharing information, etc.
Reduce errors by training staff and making sure they meet specified qualifications
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Discretionary Grants: Data Collection, Processing & Reporting
Data Processing—Is the Data Reliable?Data Processing—Is the Data Reliable?
Data needs to be reliable…accurate, complete and consistent
Factors affecting data reliability:
Lack of data collection and data processing policies and procedures
Inaccurate and incomplete data
Insufficient staff training
Differences in definitions
Insufficient system controls
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Discretionary Grants: Data Collection, Processing & Reporting
Data Processing—Is the Data Reliable?Data Processing—Is the Data Reliable?
Data errors can occur at any point in record keeping. To help maintain data quality, consider the following:
Assign ranges of possible values to each data element A person’s age could range from 16-100, anything outside the
range would be flagged by the system
Check consistency across data elements Same identification number but different race or sex
Look for missing data
Conduct periodic reviews of information keyed into MIS compared with original sources (i.e., sample of case files and MIS cases)
Remember data must be auditable—must be able to track back to original source
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Discretionary Grants: Data Collection, Processing & Reporting
Data Processing—What System Should We Use?Data Processing—What System Should We Use?
How sophisticated or elaborate does the grantee’s MIS need to be?
It varies, but high-performing organizations have an MIS that produces information/reports to assist staff in addressing issues and improving performance
Examples include MS Access, MS Excel, or a proprietary system such as Client Tracking System
Contract with local workforce investment areas to process and aggregate data
What must grantee MIS be able to do? At a minimum, capture all required data elements, perform any
necessary calculations and report information to the grantee and its partners
In some cases, ETA may provide the required data collection instruments and a system for collecting and reporting the information
See Handout 5
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Discretionary Grants: Data Collection, Processing & Reporting
Data Processing—What System Should We Use?Data Processing—What System Should We Use?
Key principles of an effective MIS: Enter information only once
Enter information in a timely manner
Enter information at the most cost-effective level of the organization (e.g., line staff versus technical staff)
Information available on demand
Access available to all levels in the organization, as needed
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Discretionary Grants: Data Collection, Processing & Reporting
Reports and InformationReports and Information
Ability of grantee to use data processing and processing techniques to develop reports
Need for an information system that can give you reports that tell a story about your grant
What other data help tell your story?
What about customer satisfaction data?
Don’t collect data simply to ‘feed the Federal data machine,’ but to inform program design and
management
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Discretionary Grants: Data Collection, Processing & Reporting
Reports and Information—Federal RequirementsReports and Information—Federal Requirements
Reporting requirements based on Uniform Administrative Requirements in 29 CFR Parts 95.51 and 97.40
Comparison of actual accomplishments with goals and objectives for the project
Reasons why established goals were not met and corrective action being taken
Other pertinent information, including technical assistance needs, best practices or any promising approaches
In some cases, ETA has a required report format for your use with established due dates
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Discretionary Grants: Data Collection, Processing & Reporting
Reports and Information— Common Measures Reports and Information— Common Measures
Common measures are based on specific cohorts
Cohorts based on calendar quarters January 1 to March 31, 2007 = CY 2007 Q1 April 1 to June 30, 2007 = CY 2007 Q2 July 1 to September 30, 2007 = CY 2007 Q3 October 1 to December 31, 2007 = CY 2007 Q4
If using wages to calculate performance on employment, earnings, and retention there will be a lag in when the wage information is available
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Discretionary Grants: Data Collection, Processing & Reporting
Reports and Information—Table of Reporting PeriodsReports and Information—Table of Reporting Periods
Reporting Time Periods
Oct 1 -
Dec 31
Jan 1 –
Mar 31
Jul 1 -Sep 30
Apr 1 –
Jun 30
Oct 1 –
Dec 31
Jul 1 –
Sep 30
Jan 1 -Mar 31
Exit Participant Exit Quarter
Q1 1st Quarter After Exit Quarter
Q2 2nd Quarter After Exit Quarter
Q3 3rd Quarter After Exit Quarter
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Discretionary Grants: Data Collection, Processing & Reporting
Reports and Information—Is the Information Reliable?Reports and Information—Is the Information Reliable?
Employ mechanism(s) to ensure reports generated and outcomes reported are calculated correctly
Useful to have a data entry/MIS handbook Reference tool for system users that details data
collection protocols, definitions of terms, coding assignments, acceptable data sources, operational rules for data entry, available edit checks and report operations
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Discretionary Grants: Data Collection, Processing & Reporting
Data Collection
Data Processing
Information & Reports
Conclusion
Measuring performance can be a powerful mechanism for managing performance!
Internal managementQuarterly ETA reportsStakeholder reportsCustomer satisfactionEvaluation reportsContractor reports
Internal managementQuarterly ETA reportsStakeholder reportsCustomer satisfactionEvaluation reportsContractor reports
Data EntryOrganizing dataCompiling dataAggregating dataMISExcel spreadsheetsAccess databasesAnalyzing data
Data EntryOrganizing dataCompiling dataAggregating dataMISExcel spreadsheetsAccess databasesAnalyzing data
Intake/Eligibility formsAttendance sheetsActivity formsProgress reportsRecords of completionExit & follow-up formsSatisfaction surveys
Intake/Eligibility formsAttendance sheetsActivity formsProgress reportsRecords of completionExit & follow-up formsSatisfaction surveys
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Discretionary Grants: Data Collection, Processing & Reporting
Are there any questions?
THANK YOU