How does random sampling affect the validity of a study?

Random sampling increases the validity of a study by reducing sampling bias.

Sampling bias occurs when the sample selected for a study is not representative of the population being studied. This can lead to inaccurate conclusions and reduced validity of the study. Random sampling helps to reduce this bias by ensuring that every member of the population has an equal chance of being selected for the study. This means that the sample is more likely to be representative of the population as a whole, increasing the validity of the study.

Random sampling also helps to increase the generalizability of the study. If the sample is representative of the population, the results of the study are more likely to be applicable to the population as a whole. This is important for making inferences and drawing conclusions about the population based on the results of the study.

However, it is important to note that random sampling alone does not guarantee the validity of a study. Other factors such as the sample size and the research design can also impact the validity of a study. It is important for researchers to carefully consider all of these factors when designing a study to ensure that it is as valid as possible.