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Suppose that you would like to know if keyboard design has an effect on wrist angle, as shown in the accompanying figure. You have 40 volunteers who have agreed to participate in an experiment to compare two different keyboards. Describe the steps in a process that you could use to randomly assign each of the volunteers to one of the experimental groups.

Short Answer

Expert verified
Define the two experimental groups: Keyboard Design 1 and Keyboard Design 2. Label each volunteer with a unique identifier. Generate a randomized list using statistical software or online tools, and assign half of the volunteers (20 individuals) to each group based on the list. Verify the randomization by checking for any significant differences in key variables between the two groups. If necessary, consult a statistician for advice on re-randomization.

Step by step solution

01

Set up the experimental groups

Before assigning the volunteers, define the two experimental groups that you want to compare. In this context, one group will be using Keyboard Design 1, and the other group will be using Keyboard Design 2.
02

Label the volunteers

To perform random assignment, give each volunteer a unique identifier. You may choose to use numbers (e.g., 1-40) or any other method that allows for a clear distinction between volunteers. Make sure that the identifiers are not related to any defining characteristic of the volunteers, such as age or gender.
03

Create a randomized list

Use a randomization method to generate a list that assigns volunteers to the two experimental groups. Many statistical software programs can generate lists like this. Alternatively, there are online tools available that can generate random sequences of numbers or use the method of shuffled cards or drawing lots.
04

Assign volunteers to groups

Based on the randomized list, assign half of the volunteers (20 individuals) to each experimental group. In other words, 20 volunteers will use Keyboard Design 1, and the other 20 volunteers will use Keyboard Design 2.
05

Verify the randomization

To ensure that the randomization was successful in creating two well-balanced experimental groups, check for any extreme differences in key variables (e.g., age, gender, or computer-use experience) between the two groups. If any variables show significant imbalance, consult a statistician for advice on whether it is adequate to continue the study or if it might be necessary to re-randomize the assignment of volunteers. By following these steps, you will have randomly assigned the 40 volunteers to two experimental groups to test the effect of keyboard design on wrist angle.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Experimental Groups
When setting up an experiment, it's critical to divide participants into experimental groups in a way that ensures fair and valid comparisons. In our keyboard design study, we have two such groups to compare the impact on wrist angle—one using Keyboard Design 1 and the other Keyboard Design 2.

The creation of experimental groups allows researchers to isolate the variable they're testing—here, it’s the keyboard design—while keeping other variables consistent. These groups should ideally be comparable in every way except for the intervention they receive, which is why random assignment is crucial. It prevents biases and helps ensure that the groups are representative of a broader population. Thus, any difference in outcomes can, with greater confidence, be attributed to the keyboard design rather than other factors.

It's also important to think about the size of these groups. In this case, each group consists of 20 volunteers, which should provide enough data to draw meaningful conclusions without overburdening resources.
Randomization Methods
Randomization is the beating heart of a well-designed experiment, tempering bias and contributing to the validity of the study. For our keyboard design experiment, we need a method to assign our 40 volunteers to either group without any systematic bias.

A variety of randomization methods can be employed, such as:
  • Using a random number generator to create sequences.
  • Simple draw from a hat containing equal numbers of 'Group 1' and 'Group 2' identifiers.
  • Flipping a coin for each participant (heads for Group 1, tails for Group 2).
  • Shuffling cards with group identifiers and dealing them out to participants.
Each method above assures the principle of random selection, which is vital for robust experimental design.
Randomized List Creation
Creating a randomized list for volunteer assignment is a practical approach when conducting experiments. After labeling each volunteer with a unique number from 1 to 40, use a randomization tool—like statistical software or an online random number generator—to assign each number to one of the two groups.

For example, a simple approach could be to generate a random sequence of the numbers 1 to 40 and then assign the first 20 to Keyboard Design 1 and the remaining 20 to Keyboard Design 2. It's essential that this sequence is entirely random with no pattern, as any regularity could introduce bias and affect the study's outcomes.

Once the list is created, each volunteer is assigned to the group as per their randomized number, ensuring an unbiased distribution and allowing for fair comparison between the effects of the two keyboard designs. It’s essential to preserve the integrity of this list to maintain the experiment’s validity.
Volunteer Allocation
The final step in setting up our experiment is allocating volunteers to their respective groups based on the randomized list. Keeping the process transparent and impartial is crucial for maintaining the trust of the participants and the integrity of the study.

In allocating the 40 volunteers, it is essential to adhere strictly to the randomized list created in the previous steps: the first 20 are allocated to Group 1 (Keyboard Design 1) and the next 20 to Group 2 (Keyboard Design 2). This clear-cut allocation helps ensure that each group is a fair representation of the overall pool of volunteers.

Once the allocation is complete, double-check for any glaring inequalities such as age or experience with computers. If significant disparities are noted, consulting with a statistician might be necessary to determine if the groups are balanced or if a re-randomization is required. Following these steps meticulously helps lay the groundwork for a reliable and credible experiment.

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Most popular questions from this chapter

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