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Decision makers learn why leading with essential questions matters before metrics or data sources, how to select and refine priority questions, and how to structure data collection to answer them. The report explains five key components—essential questions, indicators and metrics, disaggregates, and evidence-based practices—supported by data equity principles, along with practical guidance for addressing limitations.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/using-essential-questions-to-guide-data-collection-and-reporting/584171/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/using-essential-questions-to-guide-data-collection-and-reporting/584171.png","ImageObject",300,407,{"name":92,"@type":93},"Kyle","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-30","2026-10-15",true,{"@type":102,"interactionType":103,"userInteractionCount":24},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What problem does the E-W Framework address?","Question",{"text":112,"@type":113},"State decision makers often lack the information needed to support learners’ success and may not know what data they already collect or what data would reveal a more meaningful story. 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Many lack information on what data their states already collect and publicize, and many are unsure of what data might tell a more meaningful story about student success.  \nResponding to this need, researchers and data experts came together to design the Education-to-Workforce Indicator Framework ( E-W Framework), which aims to advance educational and economic opportunity for all through better data collection and use. The framework and its associated implementation tools provide research-based guidance for constructive conversations about how to enhance data collection efforts across agencies and offices within a state.  \nThe E-W Framework offers principles for ethical and effective data use, essential questions and indicators that matter most, ways to disaggregate data to inform action, and evidencebased practices to drive positive change. A core component of the framework is the essential questions, which are questions state leaders often need to answer to understand how students are progressing from early education through their careers. This Special Report will introduce you to the E-W Framework, offer a process for identifying the essential questions you want to answer, help you create or refine your data collection approach, and offer strategies for acting on the answers your data systems provide.  \nThis resource offers a process for identifying the questions you want to answer, designing your data collection approach and acting on the answers your data systems provide.  \nState leaders are investing in strengthening their data infrastructure. It’s key to lead with essential questions before investigating metrics or data sources.  \nThere are often practical limitations to collecting and reporting data. This resource offers a discussion guide on how to mitigate them.  \nWhat Are the Components of the EducationWorkforce Indicator Framework?  \nThe E-W Framework has five main components that comprise a cycle from inquiry to action. They include the essential questions, indicators and metrics that help answer the essential questions, disaggregates that illuminate disparities among groups, and evidence-based practices for addressing the needs and opportunities the data reveal. Throughout each component, data equity principles foster the ethical and effective use of data.  \nImage source: Mathematica, 2025.  \nEssential questions: Critical questions about people’s experiences from  \npre-K to workforce. These are strategic questions about student progress  \nand outcomes that can be answered with indicators and metrics.  \nIndicators: Real-world outcomes and conditions that matter for educational  \nand economic success. Indicators describe outcomes and milestones from early  \neducation through career (e.g. high school graduation, career and technical education, and employment), as well as the conditions inside and outside of schools and workplaces that support success for all (e.g. access to full-day kindergarten, safe schools, transportation, food security, and quality jobs) .  \nMetrics: Recommendations for how to measure every indicator in the framework.  \nFor example, to understand Early College Coursework Completion, the  \nframework recommends measuring the percentage of students who passed at least one Advanced Placement (AP), International Baccalaureate (IB), or dual credit course, as well as the percentage of those students who earned  \npostsecondary credit or a credit-bearing score on an end-of-course test  \n(e.g. a score of three or higher on AP tests or five or higher on IB tests) .  \nMetrics are typically calculated using information from multiple data elements,  \nwhich are the building blocks of metrics. Data elements may include student  \ncourse levels, comp","cbCainWpoZRFuZEl","https://ap.wps.com/l/cbCainWpoZRFuZEl","pdf",262937,11,"English","# Using Essential Questions to Guide Data Collection and Reporting\n## Components of the Education-Workforce Indicator Framework\n## Using Your Data System to Answer Essential Questions\n## Step One: Identify the Priority Question or Questions for the State","[{\"question\":\"What problem does the E-W Framework address?\",\"answer\":\"State decision makers often lack the information needed to support learners’ success and may not know what data they already collect or what data would reveal a more meaningful story. The E-W Framework is designed to improve data collection and use to advance educational and economic opportunity.\"},{\"question\":\"What are the five main components of the Education-Workforce Indicator Framework?\",\"answer\":\"The framework follows a cycle that includes essential questions, indicators and metrics, disaggregates to reveal disparities, and evidence-based practices to address needs and opportunities. Data equity principles guide ethical and effective data use across all components.\"},{\"question\":\"How does the report recommend using essential questions with a state data system?\",\"answer\":\"It recommends leading with essential questions before investigating metrics or data sources, building consensus on which questions matter across agencies, developing a strategic data collection approach, and identifying the capacity needed to close data gaps. It also proposes a three-step process starting with selecting priority questions.\"}]","Using Essential Questions to Guide Data Collection and Reporting | PDF",1792050113,28]