Limiting Bias Through Effective Sampling Error Control in Online Surveys
Online surveys have become the backbone of modern research, from market studies to academic projects. Their speed, cost-effectiveness, and reach make them attractive. Yet, they are also vulnerable to bias especially when sampling errors are not carefully managed. This blog explores how to control sampling error, limit bias, and strengthen the credibility of online survey results. It also answers common People Also Ask (PAA) questions to provide clarity on practical challenges researchers face.