In a pilot study, the student observed that completing the tasks takes a long time, leading to participant fatigue and boredom. And also, observed that some participants learned the tasks quickly, affecting subsequent trials. What suggestion(s) below do you recommend to the student?

Question

BlackTom AI · Accepted Answer

Practice (learning) effects and fatigue/boredom are classic order and carryover effects in experimental design: when participants repeat tasks, they often improve with practice and/or get tired, both of which bias later trials.

1. Relevant knowledge points and concepts
- Practice (learning) effects: performance on later trials improves because participants learn the task, not because of the manipulated variable.
- Fatigue/boredom effects: long or repetitive tasks can degrade performance over time.
- Order/carryover effects: differences in performance due to the sequence of conditions.
- Counterbalancing: systematically varying the order of conditions across participants to distribute order effects equally.
- Between-subjects vs within-subjects designs: within-subjects reuse the same participants for all conditions (higher sensitivity but vulnerable to practice/fatigue); between-subjects assign different participants to each condition (avoids carryover at cost of larger sample sizes).

2. Step-by-step reasoning
- Observation A: tasks take a long time → participant fatigue and boredom are likely to affect later measurements. This is an order-dependent bias.
- Observation B: some participants learn quickly → their improved performance on subsequent trials contaminates the effect of the independent variable.
- Therefore, you need methods that reduce or eliminate order/carryover influences: either control the order (counterbalancing) or remove repeated exposure by using different participants per condition (between-subjects).

3. (No numerical calculations required)

4. Why the correct answers are correct
- "Employee counterbalancing where appropriate": counterbalancing (employing different task orders across participants) spreads practice/fatigue effects across conditions, minimizing systematic bias.
- "Adopt a between-subjects experiment design": using separate participant groups for each condition prevents learning or fatigue in one condition from affecting another.

5. Why the other options are less appropriate
- "Create a more engaging experience..." may reduce boredom but won’t eliminate practice effects, and adding animations can introduce new confounds.
- "Adopt a within-subjects experiment design" is counterproductive here because it increases exposure and thus strengthens learning and fatigue effects.

6. Conclusion
Given the observed learning and fatigue problems, the best recommendations are: "Employee counterbalancing where appropriate" and "Adopt a between-subjects experiment design" — which matches the provided answer.

In a pilot study, the student observed that completing the tasks takes a long time, leading to participant fatigue and boredom. And also, observed that some participants learned the tasks quickly, affecting subsequent trials. What suggestion(s) below do you recommend to the student? Multiple choice

Similar Questions

Match the terminology to the situation: I. A study with random allocation allows us to make a strong causal inference. II. Results from a study run in a laboratory may not be applicable to the real world.

Which type of study is most likely to avoid confounding variables?

Manipulative experiments are those in which at least some of the conditions are Blank ______.

Considering the series of experiments in which oats are present in the recipe:

____ methods allow a researcher to make a valid cause-and-effect statement about the variables in her study.

Select All That Apply: What should predictions tell you?

In principle, the purpose of random assignment is to make sure that research participants:

More Practical Tools for Students Powered by AI Study Helper

Homework AI Solver

Stylized AI Paper Writer

Plagiarism Checker Assistant

Citation AI Academic Writing Tool

In-Class Translation Assistant

AI Note Generator

AI Quiz Answers

Past Exam Questions from University Test Bank

Smart Practice Assistant

Adaptive Practice

Making Your Study Simpler