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    Evaluating Impact

    valuating Impact

    Turning Promises into Evidenceurning Promises into Evidence

    HalaHala SalahSalah

    Hany ElHany El--SawahSawah

    Hany ElHany El--SayedSayed MadkourMadkour

    HebaHeba BahaaBahaa ElEl--DinDin

    MohamedMohamed MarzoukMarzoukMohamedMohamed SharawySharawy

    SamirSamir ElEl--Sherief Sherief 

    TarekTarek TobelyTobely

    Yasser Gad AllahYasser Gad Allah

    January 2008January 2008

    MIS ProjectMIS Project

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    1. Background

    Higher Education Enhancement Project HEEP

    FOEP Faculty of Education Project

    ETCP Egyptian Technical Colleges Project

    FLDP Faculty-Leadership Development Project

    QAAP Quality Assurance and AccreditationProject

    HEEPF Higher Education Enhancement ProjectFund

    ICTP Information & Communication TechnologyProject

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    1. Background

    Information & Communication Technology

    Project ICTP

    Infrastructure of information Networks

    Management Information System (MIS)

    e-learning Digital Libraries

    ICT training

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    1. Background

    Objectives of the MIS project

    Establish MIS centers in 15 universities

    Develop MIS application for all the Egyptianuniversities

    Develop MIS/DSS for the SCU

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    2. Results Chain

    InputsInputs   ActivitiesActivities   OutputsOutputs   OutcomesOutcomes   ImpactImpact

    • Funds

    • Data &information

    • Humanresources

    • TechnicalExpertise

    •EstablishingMIS Centers

    •Data Entry

    •PurchasingEquipment

    •Preparing MISapplications

    •Training staff 

    •System testing& rollup

    • Improved quality ,relevance, andefficiency ofhigher education

    • Enhancedadministrativeprocedures

    • Efficiency &effectiveness ofthe ManagementPerformance

    • Efficient decisions

    • Effective strategicplanning on microand macro level

    • MIS Centers

    • Reliabledatabases

    • Trained staff 

    • MISapplications

    • Reports

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    3. Primary Research Questions

    Does the MIS project enhance theadministration & management efficiency?

    Does the MIS project enhance the Quality

    of higher education?

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    4. Outcome Indicators

    Time taken to issue students’ certificates, IDs, …etc.

    Time taken for a student to enroll

    No. of documents (certificate, ID, … etc.) producedper unit of time

    Time needed to finish students’ results

    Time needed to get a student information

    The adequacy and accuracy of the databases &

    reports Availability of data for decision making

    Staff, student, and top-management satisfaction for

    administrative operations Cost effectiveness of the MIS project

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    4. Impact Indicators

    The students’ average Cumulative Marks (nostandardized test)

    The average No. of years to finish anacademic programs

    The average time between graduation and

    employment

    The right matching between the

    specialization and the job The average income for the graduates

    The satisfaction of the job market with the

    quality of the graduates

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    5. Identification Strategy/Method

    Efficiency of Administrative system

    Randomized roll out - 174 faculties

    Quality of Education

    Matched difference in differences - between200 treated faculties and 100 faculties thatchose not to participate in the program (non-treated)

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    5. Identification Strategy/Method

    Faculties chose notto participate inthe MIS project

    174 roll out

    Phase 1:

    87 faculties

    Phase 2:

    87 faculties

    300 faculties

    200 treated 100 not treated

    26 pilot faculties

    Matching/ DiD

    Randomizationt = 0

    t = 3 t = 9

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    5. Identification Strategy/Method

    26 pilotfaculties

    Phase 1:87 faculties

    Phase 2:87 faculties

    0 3 6 9 months

    Randomization

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    6. Sample and data

    Efficiency of Administrative system

    Sample

    Treatment: 87 randomly selected faculties Control: the rest of the 87 faculties

    Data

    Quantitative: administrative data Qualitative data: use and satisfaction of MIS

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    6. Sample and data

    Quality of Education

    Matched samples

    Treatment: from 200 treated faculties Control: from non-treated 100 faculties

    Data

    Quantitative: administrative data Quantitative: tracer studies of graduates

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    7. Time Frame/Work Plan

    Matching based on available data: Feb.2008

    Baseline data collection (tracer study)

    Randomization

    Intervention Follow-up data collection: 2-3 rounds

    26 pilot

    faculties

    Phase 1: 87

    faculties

    Phase 2: 87

    faculties

    0 3 6 9 months

    Tracer study

    Baseline data

    Intervention

    Randomization

    Follow up data

    collection

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    8. Sources of Financing

    MIS project

    Universities (Co-finance)

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    Thank You