The lower response rate in web surveys has been a major concern for survey researchers. The literature has sought to identify a wide variety of factors that affect response rates in web surveys. In this article, we developed a conceptual the psychology of survey response pdf of the web survey process and use the model to systematically review a wide variety of factors influencing the response rate in the stage of survey development, survey delivery, survey completion, and survey return.
Practical suggestion and future research directions on how to increase the response rate are discussed. Check if you have access through your login credentials or your institution. This is one example of a type of survey that can be highly vulnerable to the effects of response bias. Because of this, almost any aspect of an experimental condition may potentially bias a respondent. Examples include the phrasing of questions in surveys, the demeanor of the researcher, the way the experiment is conducted, or the desires of the participant to be a good experimental subject and to provide socially desirable responses may affect the response in some way.
It is therefore important for researchers to be aware of response bias and the effect it can have on their research so that they can attempt to prevent it from impacting their findings in a negative manner. However, researchers were initially unwilling to admit the degree to which they impact, and potentially invalidate research utilizing these types of measures. Some researchers believed that the biases present in a group of subjects cancel out when the group is large enough. This would mean that the impact of response bias is random noise, which washes out if enough participants are included in the study.