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Data Security Survival Skills for 21st Century Evaluators

Handouts for AEA 2013 Skillbulding Workshop 112 (slides and "Data Security Survival Guide"--how to develop a data security plan) #DataSecurity #HowTo

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Focus Search - AEA Abt Data Security Survival Guide Final Oct 16 2013.docx...

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Creating Cross-Agency Longitudinal Datasets for Education Research

Big data is everywhere. As evaluators, often our task is to transform data into information that answers questions and guides better decision-making. However, existing data is often collected for a myriad of purposes, siloed in separate agencies, and protected by different privacy laws. The...

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Focus Search - Creating Cross-Agency Longitudinal Datasets for Education Research Authors Security Linking Cleaning Sarah Frazelle Senior Advisor for Research & Evaluation; Education Northwest Jared Silver Data Architect and Manager; Center for Education Policy Research at Harvard University Havala Hanson Senior Advisor for Research & Evaluation; Education Northwest Information & Resources for DATA SECURITY Although laws vary across states and countries, some consistent best practices in data security include: · Designate a team to coordinate policies and IT infrastructure · Make sure there is a data sharing agreement in place for all student level data that is shared by an education agency. · Only share student level data through a password protected and encrypted sites endorsed by your IT group and approved by legal counsel · Never email files containing student level information · Keep printed reports stored in a secure locked location · Always double check your policies with your legal counsel Web Resources Family Educational Rights and Privacy Act Regulations (FERPA) document The U.S

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Data Acquisition and Management Practices for a Teacher Professional Development Evaluation Across Eight School Districts

Assessing student outcomes based on standardized test scores and administrative student records is challenging under the best of circumstances. This presentation will address these challenges of data collection and management in a multi-year, multi-school district random assignment evaluation of...


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Eval11 Session 920: Using Research Electronic Data Capture (REDCap) for Designing a Data Collection System in the Field

Collecting real-time data securely on a mobile device can pose many challenges, particularly when that data requires HIPAA compliance safeguards. Research Electronic Data Capture (REDCap) is a secure, web-based application designed exclusively to support data capture for research and evaluation....

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Focus Search - • Easily customizable and able to be configured in multiple ways to suit the needs of a given project The Consortium • • 288 active institutional partners from around the globe • Typically, a centralized group at each institution houses REDCap to prevent infrastructure duplication • Serves nearly 23,000 research projects and just under 33,000 end users • Project production has grown exponentially in the past five years How Has Been Used • Prospective Research and Evaluation Studies • Data Collection for Chart Reviews • Multi-Site Data Collection (domestic and international) • Basic Research Studies • Behavioral Research Studies (Survey) • CTSA-wide research studies • (Statin Treatment for Influenza Patients Trial) • CTSA-wide research on research studies (Committee #1 IRB + Contracts) • Quality Improvement • Research Operations Support (tracking databases) • Education Support – Teaching Tool • Project Management • Lab Specimen Tracking • Survey can be used as a surrogate web application • State performance management systems for home visitation Key Considerations for Selecting Key Considerations for Selecting • COST: Need a cost-efficient way to collect and manage research and evaluation data • CAPACITY/STAFFING: Need a system that evaluation staff can use with limited knowledge of data sytems • NEW DATA: Need ability to collect new screening or clinical instruments for outcome measuring • EXISTING DATA: Needed a way to interface with existing information management systems (if they exist) • REPORT GENERATION: Need to export data or run ad-hoc reports that are easily configurable for multiple purposes • DATA SECURITY/CONFIDENTIALITY: Need the data to be secure when collecting, storing or importing; need a HIPAA Compliant server to transfer Protected Health Information (PHI) Key Considerations for Selecting • FIELD USE: Need the ability to collect and transfer screening or program data directly into MIECHV database during a home visit if desired • FUNCTIONALITY: Need to de-identify data as needed, restrict user access to some data, create schedules, be used as a case management system (if needed), track program data • VERSITILITY: Need it to be easy to customize, configure, or change as new program data or screening instruments are introduced Key Considerations for Selecting • TECHNOLOGY: Need to be able to securely interface with technology used by research assessors in their office, in the participants’ homes, or on the road if needed to reduce data entry labor costs Key Considerations When Selecting Internet access through Wi-Fi and 3G capabilities for in the field use Interactive use during face to face interviews Example of a Data System for an Evaluation Project • Adolescent Family Life Generations Project • Rigorous research and evaluation study testing the effectiveness of enhancing a home visiting program for pregnant teens with an educational support group for their parents, mental health services, and social media outreach • Kansas’ Maternal Infant Early Childhood Home Visiting (MIECHV) Program • Creating a Performance Management System to enable state to respond to federal reporting requirements and integrate evaluation and CQI • Working with four home visiting program models in each of three counties • Matching and integrating data from multiple agencies with different management information systems with the state’s child welfare data • Nebraska’s MIECHV Program • Working with one home visiting program across three counties in one agency • Matching and integrating data from one agency’s management information system with the state’s child welfare data How We Use • Generations Project Overview • Testing the effectiveness of enhancing a home visiting program for pregnant teens with an educational support group for their parents, mental health services, and social media outreach. • Kansas Children’s Service League -Healthy Families program in Wyandotte and Shawnee Co, KS • KU Institute for Educational Research and Public Service & School of Social Welfare How We Use Office of Adolescent Pregnancy Programs Generations Project Overview Services for Family In-home mental health assessment & services as needed Services for Teen KCSL Healthy Families Home Visiting Referral to Community Mental Health TREATMENT GROUP CONTROL GROUP KCSL Healthy Families Home Visiting Services for Grandparent Grandparent Education & Support Group Social Media & Support Networking Generations Project Overview Immunizations for Babies Reduced Repeat Teen Pregnancies Educational Attainment for Teens Social Support, Mental & Physical Health, Family Functioning Generations Project Data Map KCSL’s Mental Health Database Teen Parent Both Field Interviews with Teens and Parents of Teen What is the construct or outcome we want to measure?

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Re-designing Funder Program Evaluation and Information Design in Support of Program Quality and Outcomes

The Children’s Trust invests over $100 million in services for children and families in Miami-Dade. Providers are selected through competitive solicitations, and performance is tracked regularly across 3-year cycles. This session will demonstrate how The Trust overhauled its contract performance...

Re-designing Funder Program Evaluation....pptx

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Eval12 Session 827: Managing Your Needs Assessment

Needs assessments may be small to large or simple to complex depending on the nature of the issue to be addressed. Having a process in place to plan and manage your needs assessment – whatever its size and complexity – will aid in the assessment’s success. Without a plan, you are at risk of...

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Focus Search - 13 13 Managing: Creating a Plan (21) Requesters Sponsor(s) Sponsor contributions Authorizations Budget Time Other resources Scope Terms of reference Etc. 14 14 Managing: Collecting Data (9) Logic model Existing data Data quality, credibility, and verification Data sources and access Useful missing data Data costs Data security Sufficiency of data and sources Sampling 15 15 Managing: Other key considerations covered in the book Categories: Stakeholders and Informants (10) Data Collection Method and Instrument Development (10) Data Analysis Plans (10) Findings or Results of the Assessment (11) Written Reporting of the Data (8) Reviews or Editing of Reports (4) Oral Reporting (8) Follow-Up Action Planning after Completion of the Needs Assessment (5) 16 16 Subject: Direction for quality & results team Training  Results-focused capacity development Managing with Flexibility 17 This effort took place in the context of organizational renewal in the capacity development arm of the World Bank

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Empowerment Evaluation in Context: Tools for Determining Impact of State Capacity Building for Increasing Outcomes of Students With Disabilities

Handouts from the session. Abstract: This session will present the National Secondary Transition Technical Assistance Center's (NSTTAC) Evaluation Toolkit. We begin with an overview of NSTTAC's capacity-building model and how data-based decision-making is used to improve outcomes of students...

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Focus Search - • Be clear about confidentiality and data security

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Health Care That Works for All Americans (Full Report)

This is the final report of the Citizens' Healthcare Working Group (CHWG) to the President and Congress, sent on September 29, 2006. The Working Group, an independent commission of 15 members representing all aspects of the nation's health care systems and its users, was tasked with facilitating...

Health Care that Works for All Americans1.pdf