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Data Types and Their Uses

This overview delineates two primary data types: quantitative, which encompasses numerical data, and qualitative, which focuses on categorical descriptions. It highlights the importance of various assessments such as NYS, local, and national evaluations, along with critical metrics like enrollment, attendance, drop-out rates, and student demographics (ethnicity, gender, language proficiency). Additionally, it presents specific data sources for mathematics performance, including MAP assessments, common assessments, and standardized test results, while emphasizing the role of surveys, observations, and interviews to enrich educational insights.

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Data Types and Their Uses

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  1. Data Types and Their Uses

  2. Two Types of Data • Quantitative • Number or quantity • Qualitative • Categorical collection of descriptions

  3. NYS assessments Local common assessments National assessments Enrollment-Courses/Clubs Attendance Drop-out Rate Ethnicity Gender Language Proficiency Perceptions of learning environment Values, beliefs, attitudes Teacher observations Description of school programs and processes Curriculum map audits

  4. (Some) Data Sources Specific to Math • MAP (aggregate, DesCartes) • mClass (CRPS) • BOY/EOY common assessments • # Students enrolled in accelerated math • # students qualifying for Math league • NYS tests (3-8 and Regents)- aggregate and item analysis • Sat/ACT/AP • Analysis of math journal questions • Student self reflections • Focus groups • Surveys: teachers, students, parents (use social media)

  5. Look for intersections

  6. Data Sources • Norm referenced assessments (NYS, MAP, other) • Criterion referenced assessments • Locally generated assessments/practices • Observations • Interviews-individual/focus groups • Surveys • Teachers • Students • Community • Work samples • Other Use of comparative data

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