Interactive Learning Check Section 4 - Addressing Low Effort in Testing
Join the interactive activity to explore strategies for addressing low effort before test scoring. Learn about person- vs. item-level filtering, IRT model treatment of rapid guesses, and more. Enhance your understanding of mitigating low effort's impact on test and survey scores.
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Presentation Transcript
Learning Check Section 4 Please put into Slide Show Mode to begin interactive Activity (Slide Show From Beginning) 4 Instructions Instructions
Instructions Read each question. Then, think through each of the questions. Reveal Click to reveal the answers. Special Note: There is no audio for this learning check. Click here to Start Click here to Start
Question 1 Answer There are several possibilities, which include discussing the importance of the test and uses of its scores with examinees, as well as monitoring effort in real time and having proctors or other authorities help gently re-engage the examinee.. Question 1 Reveal Hide What are some ways to address low effort before a test is scored? Instructions Next Instructions Next
Question 2 Answer In general, item-level filtering is more justifiable. Oftentimes, effort is correlated with a host of examinee characteristics. Therefore, simply removing an examinee from the sample can bias subsequent estimates because the sample is less representative. Question 2 Which is more justifiable: person- or item-level filtering? Why? Reveal Hide Previous Next Previous Next
Question 3 Question 3 Answer Conceptually, how do IRT models like the effort-moderated IRT model tend to treat rapid guesses? Reveal Hide Such models essentially treat those rapid guesses as missing. Previous Next Previous Next
You have reached the end of this activity. Please click anywhere to exit! Soland, J. (2023). Understanding and mitigating the impact of low effort on common uses of test and survey scores [Digital ITEMS Module 32]. Educational Measurement: Issues and Practice, 42(2), 75-76. Previous Previous
