Acquiescence bias is the type of response error that stems from the tendency of respondents to agree with research questions or statements.
Incidence rate refers to the frequency of something occurring within the population.
Nonresponse bias is the type of survey error that stems from respondents not taking the survey. Factors including lifestyle, personal values, demographics, etc. can be noticeably different among survey respondents and all other potential respondents who chose not take the survey, and these differences bias the survey data.
Social Desirability Bias is a type of response bias that occurs when respondents feel pressured, either internally or externally, to provide a socially desired response. Thus, the data from these respondents is biased and does not accurately reflect the target population.
Response Error occurs when respondents do not provide accurate answers to survey questions. It is impossible to entirely eliminate this type of error, but careful consideration during the survey design process can help mitigate its effects.