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Designing Distractors for Impactful Employee Training MCQs

Written by Amanda Kizer | 2024

Employee training is a pivotal part of business operations, and an essential aspect of this process is evaluating employee comprehension. Multiple-choice questions (MCQs) are a popular assessment method in training programs due to their efficiency and versatility. However, creating effective MCQs is an art, especially when it comes to formulating plausible distractors (the incorrect answer options).

Distractors play a crucial role in MCQs as they challenge trainees to apply their knowledge, rather than merely guessing the correct answer. Let's explore how to develop meaningful distractors to enhance your assessments.

The Importance of Distractors

Distractors in MCQs serve to identify what a participant does not know or understand. Well-crafted distractors should be plausible and rooted in common misconceptions or errors, requiring learners to think critically about their choices.

Crafting Effective Distractors

Distractors that are clearly incorrect or irrelevant can undermine the effectiveness of your assessment. The following examples from a data security training program illustrate the progression from poor to quality distractors.

  • Poor: When should you update your passwords? (Distractors: Annually, Never, Every leap year)
  • Better: When should you update your passwords? (Distractors: Annually, Monthly, When forced to by system)
  • Best: When should you update your passwords? (Distractors: At least every three months, When forced to by system, Only if you think it has been compromised)

In the first example, "Every leap year" is implausible and does not offer a realistic misconception. In the second, all options are plausible but could still be improved. The best distractors are all plausible and reflect common misunderstandings.

  • Poor: What should you do if you suspect a phishing email? (Distractors: Forward it to your friends, Ignore it, Print it out)
  • Better: What should you do if you suspect a phishing email? (Distractors: Forward it to your IT department, Delete it, Respond with your concerns)
  • Best: What should you do if you suspect a phishing email? (Distractors: Report it to your IT department, Delete it, Click on the links to investigate further)

The first example's distractors are unlikely responses. The second set improves plausibility. The best distractors present possible actions that someone might incorrectly choose.

  • Poor: Who is responsible for data security? (Distractors: IT department, CEO, The intern)
  • Better: Who is responsible for data security? (Distractors: IT department, Everyone, The person with the most data)
  • Best: Who is responsible for data security? (Distractors: IT department, Everyone, The individual who created the data)

The first example includes an improbable distractor ("The intern"). The better distractors are more plausible. The best distractors could all feasibly be true, requiring the trainee to critically think about the answer.

Review Your Training Assessment Questions

Here are actions you can take to start evaluating and improving your multiple choice assessment distractors.

  • Ensure Plausibility. Distractors should be feasible. Review your distractors to ensure none are immediately dismissible.
  • Reflect Common Misconceptions. Good distractors echo typical misunderstandings or mistakes about a topic. Review your distractors to see if they reflect these.
  • Similar Length and Language. Quality distractors are similar in length and complexity to the correct answer. Avoid patterns or distinct language that might inadvertently lead participants to the right answer.

Creating effective distractors is a key component in constructing meaningful MCQs for your training assessments. By following these guidelines, we can develop assessments that truly gauge understanding and application of training content.

References:
Haladyna, T., Downing, S., & Rodriguez, M. (2002). A Review of Multiple-Choice Item-Writing Guidelines for Classroom Assessment. Applied Measurement in Education, 15(3), 309-334.