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6 Homework To help assess student learning in her reform calculus courses, a calculus professor at a university implemented pre- and post-tests for her reform calculus students. A knowledge-gained score was obtained by taking the difference of the two test scores. What type of experimental design is this? Randomized block design Case-control Completely randomized design Matched pair

Ask by Nichols Gray. in the United States
Jan 29,2025

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This is a **matched pair** design.

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The scenario described involves a **pre-test/post-test** design where the same group of students is assessed before and after an intervention (in this case, the calculus course). The main feature here is that each student serves as their own control by comparing their scores before and after the course, effectively creating pairs of related measurements. Here's a breakdown of why the other options are less appropriate: 1. **Randomized Block Design**: This involves dividing subjects into blocks based on certain characteristics and then randomly assigning treatments within each block. There's no indication of such blocking in the scenario. 2. **Case-Control**: Typically used in observational studies to compare subjects with a specific condition (cases) to those without (controls). This doesn't fit the educational testing context. 3. **Completely Randomized Design**: Subjects are randomly assigned to different treatment groups without any blocking or pairing. The scenario doesn't involve different treatment groups. 4. **Matched Pair**: This involves pairing subjects based on similar characteristics and then comparing the pairs, which aligns with the pre-test/post-test approach since each student is effectively paired with themselves. **Answer:** Matched pair

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This scenario is indicative of a matched pair design. In this type of design, each student serves as their own control by taking both the pre-test and post-test. The knowledge-gained score is derived from the difference between these two tests, allowing for a more precise evaluation of individual student progress. In a matched pair design, the primary focus is on the differences within each pair (pre-test and post-test), rather than between different participants or treatments. This method helps to account for individual variability, making the assessment of learning gains more reliable and meaningful.

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