Linking Data Quality with Action Pre-training Webinar Larry Condelli & AIR Training Team June 3, 2014

 Ensuring high quality data is an ongoing process ◦ Not just a one-time event but requires constant vigilance due to staff turnover, changing requirements ◦ No NRS on this topic for four years ◦ NRS cohort changes, new measures, have revealed data quality issues 2

 Goals of the training: ◦ Focus states on data quality issues ◦ Provide approaches and tools for examining data ◦ Provide approaches for improving data quality and program performance ◦ Promote the quality and use of NRS data for accountability and program improvement 3

 Identify common data quality issues  Identify tools and approaches for improving data quality  Practice problem-solving through the SCAMPER method  Create a plan for improving data quality at the state and local level 4

5 Chapter 2: Understand Data Quality What problems do we have? What are our data processes? Explore Data, data systems, procedures and training Chapter 3: Motivation and Problem Solving How can we motivate staff? How can we solve our problems? Promote data use, data use learning communities, SCAMPER Chapter 4: Implement Change How do we take action and get it done? Action model, setting goals & measures, inclusive, holding staff responsible

 Importance of critically reviewing data ◦ What to look for and how ◦ Illustrated with NRS tables  Central role of your data system and error checks  Importance of procedures and staff training  Enhancing staff motivation to be engaged in data 6

Data systems + Procedures + Motivation ________________ Data quality 7

 Once you find problems how do you fix them to improve data quality?  SCAMPER Method 8

 Creative problem solving ◦ Checklist of thought provoking questions ◦ Everything that exists is a modification of something that already exists ◦ Remove all constraints in the problem solving process 9

 Once you have a plan how to you make sure it gets done?  4 Disciplines approach 10

 To effectively create change in behavior there has to be a focus and you have to have one shared, achievable goal 11

12 Step 1: Focus on an Important Goal Step 2: Identify Measures Step 3: Create an Effective Way to Track Progress to Your Goal Step 4: Establish Accountability

 Register and make your hotel reservations immediately  Review training guide and agenda  Bring at least one laptop per team 13

 Describe state procedures for ensuring data quality from the time of local data collection to submission of NRS data to OCTAE ◦ Brief, no more than 1 page, can be bulleted list ◦ to by June 9 or at least 2 weeks before the

 Review your NRS data and 2013 data quality checklist (DQC) ◦ Bring a copy of the DQC to the training ◦ Identify a data quality problem you want to address at the training, e.g.:  Data entry timing, missing data  Testing issues  Cohort identification  You may change it at the training 15

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