A researcher designs a study that uses a random sampling method to decrease the likelihood of bias in the study sample. This strategy was used to implement:

The strategy that the researcher used to implement is called "Random Sampling".

Random sampling is a technique where each sample in a population has an equal chance of being chosen. It is meant to be an unbiased representation of the group. This method is used to eliminate bias in the population and it can provide a high level of accuracy.

Here are the steps:

1. Define the population: The researcher must clearly define the group of people they want to study. This could be any group of people that share a common characteristic or set of characteristics.

2. Choose your sample size: The researcher must decide how many people to include in the study. This number will depend on the size of the population and the level of accuracy the researcher wants to achieve.

3. List the population: The researcher must list every member of the population. This could be done using a database, a list, or any other method that ensures every member of the population is included.

4. Assign numbers to the units: Each member of the population is assigned a unique number. This could be done sequentially, starting with 1 and ending with the total number of members in the population.

5. Use random numbers: The researcher uses a method to generate random numbers, such as a random number generator or a lottery system. The members of the population that correspond to these numbers are the ones who are included in the sample.

6. Collect and analyze data: The researcher then collects data from the chosen sample and analyzes it to draw conclusions about the population.

By using this method, the researcher can decrease the likelihood of bias in the study sample.