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Format: Presentations
Assessing and Improving Your SSIP Data Quality to Support Your ResultsThis workshop engaged participants in identifying data quality issues that interfere with assessing progress in SSIP implementation and improvement toward the SiMR. A facilitated discussion focused on strategies for improving data quality to support decisionmaking and achievement of results.
Format: Presentations
The Interplay of Qualitative and Quantitative DataThis session provided a brief overview of various types of qualitative data collection methods. Presenters provided examples of different ways states can present qualitative data. They also discussed basic strategies for using qualitative and quantitative data together to support continuous improvement and evaluation efforts in states.
Format: Presentations
Integrating Qualitative Data Analysis Into Your Continuous Improvement EffortsWhen used together, qualitative and quantitative data provide strong evidence for change and can better inform continuous improvement efforts. This workshop focused on ways to conduct meaningful qualitative analysis and use it effectively with quantitative analysis. Participants had the opportunity to learn more about specific approaches to qualitative analysis and how to apply those approaches to an example dataset. Presenters then asked participants to think critically about how to use both qualitative and quantitative analysis to interpret and effectively present data.
Format: Guides and Briefs
Parent Involvement Data: How to Measure and Improve Representativeness for Indicator B8This interactive resource provides states with an overview on how to gather representative parent involvement data for Part B SPP/APR Indicator 8. The resource defines key concepts such as representativeness, sampling, nonresponse bias, response rates, and weighting. It also offers information on how to improve the quality of parent involvement data, including strategies that can help states collect representative data and evaluate and improve the representativeness of their data before, during, and after data collection.
Format: Quick Reference
Checklist to Identify and Address SSIP Data Quality IssuesIn State Performance Report/Annual Performance Plan (SPP/APR) reports, states are required to identify data quality issues that may have arisen during their Indicator 17 State Systemic Improvement Plan (SSIP) work. Using this checklist can help state staff who are responsible for the SSIP apply the principles of high-quality data to identify any data quality issues that the state should report. The checklist includes questions that states can ask themselves to recognize data quality issues that may exist. It provides potential consequences of the issues and offers suggested actions that states can take to address the issues.