Researchers should do certain things to avoid self-selection bias, which can happen when people randomly pick people. Among these steps is giving people reasons to participate, using quota or snowball sampling. It is possible to offer incentives through money or other prizes. This will encourage a broader range of people to participate and reduce the chance of self-selection bias. Quota sampling aims to make a sample more like the population. This is done by giving specific percentages to the different subgroups in the sample. A researcher can, for example, set quotas for each gender to ensure that the sample represents the whole population. This is done to make sure that the sample is an accurate representation of the whole population. The process of snowball sampling involves recruiting participants through recommendations from existing participants. This broadens the variety of participants, reducing the danger of self-selection bias