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SAEE - Data Collection and Analysis Questions and Answers Flashcards

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  1. A school leader reviews a report showing that the average GPA of students enrolled in after-school tutoring rose from 2.1 to 2.6. Without a control group, this finding is best described as:

    Answer: A correlation that cannot establish causation

    Without a control group, it is impossible to rule out alternative explanations for the GPA increase.

  2. Which term describes the degree to which a test consistently produces the same results across repeated administrations?

    Answer: Reliability

    Reliability refers to the consistency of a measurement instrument across different administrations or raters.

  3. A principal uses demographic data, attendance records, and teacher observations together to understand a student's chronic absenteeism. This practice is called:

    Answer: Triangulation

    Triangulation involves using multiple data sources to develop a more complete and accurate understanding of an issue.

  4. A district separates student performance data by race, gender, and socioeconomic status to identify achievement gaps. This analytical process is called:

    Answer: Data disaggregation

    Disaggregation breaks down aggregate data into subgroups to reveal disparities that might otherwise be hidden.

  5. An administrator wants to know whether a new literacy program produced statistically significant gains. Which step should be taken FIRST?

    Answer: Collect pre- and post-program assessment data

    Collecting pre- and post-program data establishes a baseline necessary for measuring program impact.

  6. A test measures what it is intended to measure. This is a definition of:

    Answer: Validity

    Validity is the extent to which an assessment actually measures the construct or skill it is designed to assess.

  7. A school's overall graduation rate is 90%, but only 70% of English language learners graduate. Which data practice revealed this disparity?

    Answer: Disaggregation by subgroup

    Disaggregating data by subgroup exposes differences in outcomes that aggregate statistics conceal.