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and interpreting test score differences among student subgroups  \nTable of contents  \n3 Motivating scenario  \n3 Introduction  \n4 In what situations might leaders find this information useful?  \n5 What do test scores measure?  \n7 How can we understand subgroups and characteristics across students?  \n9 Toward a practical understanding  \n10 Actionable recommendations  \n11 Conclusion  \n12 References  \nMotivating scenario  \nPrincipal Cortez sits down at his desk with his morning coffee to review this year’s state summative assessment results for his school, hopeful to see good news that his students have made progress in response to all the hard work of his teachers. After looking atthe top-line numbers, he then reviews average scores through several lenses—such as gender, income, race/ethnicity, and language background—to understand how different students experienced instruction . He engages in this work to help identify which students might require more attention or to identify for whom his school’s efforts are working. But he still struggles with the best way to consume, think about, and act on these subgroup score differences.  \nIntroduction  \nPrincipals and district leaders often analyze test score differences across student groups. This can be a sensitive topic requiring a nuanced understanding of what test scores actually measure (both intentionally and unintentionally), how students may belong to multiple subgroups simultaneously, how systemic issues impact students, and how different audiences might interpret differences in test scores. These understandings influence how schools, districts, and states act on assessment data.  \nThis guidance document provides insights into how school and district leaders might consider and interpret test score differences across subgroups. In the following sections, we provide:  \n• Examples of relevant situations  \n• An overview of what test scores measure  \n• A discussion of how to analyze data on student subgroups and overlapping characteristics  \n• Practical considerations for using MAP® Growth™ assessment data  \n• Four actionable recommendations for districts and schools  \nThe purpose of this document is not to tell leaders whether they should focus on score differences between different groups or how they should narrow them. Instead, it is meant to offer recommendations for how to understand what differences may exist and give leaders some structure for how they might consider and interpret those differences. Such guidance is essential as many schools, districts, and charter authorizers set annual goals, or if your school or district receives points on state school report cards based on narrowing test score differences across subgroups.  \nA practical guide for considering and interpreting test score differences among student subgroups | 3  \nIn what situations might leaders find this information useful?  \nThere are many situations in which leaders might find themselves wishing they had abetter understanding of average test score differences across student subgroups. As a thought exercise to show how this information might be broadly used, we present three example situations where this information might prove useful.  \nExample 1  \nA principal sees that MAP Growth scores indicate that Hispanic students are, on  \naverage, scoring lower in math than their peers. In her school, many Hispanic  \nstudents face systemic barriers, such as limited access to economic resources or  \ninstruction in their home language. She examines multiple dimensions—gender,  \nincome, race/ethnicity, and language—to understand what opportunity gaps in  \naccess to grade-level instruction, instructional supports, and learning resources  \nmay be contributing to these outcomes.  \nExample 2  \nA district is struggling with understanding how to effectively implement  \nearly literacy tutoring and does not think targeting students based solely  \non income level, without considering o","cbCaisd83bAOvo3w","https://ap.wps.com/l/cbCaisd83bAOvo3w","pdf",445799,13,"English","# Motivating scenario\n# Introduction\n# In what situations might leaders find this information useful?\n## Example 1\n## Example 2\n## Example 3\n# What do test scores measure?\n## Understanding measurement intent and limitations","[{\"question\":\"Why do leaders analyze test score differences across student subgroups?\",\"answer\":\"Leaders use subgroup differences to understand how different students experienced instruction and to identify where additional attention or support may be needed.\"},{\"question\":\"What should leaders keep in mind about what test scores measure?\",\"answer\":\"Tests have specific measurement goals, but scores can be influenced by factors other than the intended knowledge, and not all assessed knowledge is necessarily learned only in classrooms.\"},{\"question\":\"How should leaders handle overlapping subgroup characteristics?\",\"answer\":\"Students can belong to multiple subgroups at the same time, so analyzing data across overlapping characteristics helps reveal patterns linked to broader systemic factors and opportunity to learn.\"}]","A practical guide for considering and interpreting test score differences among student subgroups - Guide | PDF",1791002820,33]