“…The second question has to do with methodological inquiries for detecting nonresponse bias. Although many types of analyses of nonresponse bias can be conducted, four predominant approaches have been used: (1) comparing characteristics of the achieved sample, usually the demographic characteristics, with a benchmark survey [88], (2) comparing frame information for respondents and nonrespondents [89], (3) simulating statistics based on a restricted version of the observed protocol [85], often called a "level of effort" analysis, and (4) mounting experiments that attempt to produce variation in response rates across groups known to vary on a survey outcome of interest [90] Findings from these studies show that nonresponse bias varies across individual statistics within a survey and is relatively larger on project needs to be able to answer the question. (9) Missing data, dropped subjects and use of an intention to treat analysis:…”