Practice Test Geeks(aReading) FastBridge Reading Assessment Practice Test
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Technical Foundations Flashcards

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  1. Which score scale does FastBridge aReading use to report student performance?

    Answer: Rasch Unit (RIT) scale

    FastBridge aReading reports results on the RIT (Rasch Unit) scale, which is an equal-interval scale allowing growth measurement across grade levels.

  2. What type of assessment design allows FastBridge aReading to adapt question difficulty in real time?

    Answer: Computer adaptive testing (CAT)

    aReading uses computer adaptive testing (CAT), adjusting item difficulty up or down based on each student's previous responses.

  3. What is the approximate number of items a student typically completes during one aReading administration?

    Answer: Approximately 30–40 items

    aReading typically presents around 30–40 items per session, with the CAT algorithm determining the precise number needed to achieve a reliable estimate.

  4. Which reliability statistic is most commonly used to evaluate the precision of aReading scores?

    Answer: Standard error of measurement (SEM)

    The Standard Error of Measurement (SEM) is the primary reliability indicator for adaptive tests like aReading, indicating how much a score may fluctuate.

  5. In the context of FastBridge aReading, what does 'norming' refer to?

    Answer: Comparing a student's score to a nationally representative sample

    Norming compares individual student scores to those of a nationally representative sample to generate percentile ranks and norm-referenced scores.

  6. Which of the following best describes the purpose of benchmark cut scores in aReading?

    Answer: They identify students who are at, above, or below grade-level expectations

    Benchmark cut scores classify students into performance categories (e.g., at risk, some risk, low risk) relative to grade-level expectations.

  7. How does FastBridge aReading handle item exposure to prevent students from sharing answers?

    Answer: Each student receives a unique set of items drawn from a large item bank

    The large item bank combined with adaptive selection means each student's item set is effectively unique, minimizing item exposure risks.