Response rate is the primary concern of the researchers who choose to use survey method in conducting their research. The higher the response rate is, the more extensive a sample can represent its population and the more comprehensive the research findings can be generalized. This study proposes a model to explain the important effects of sampling method and response rate on the representativeness of a sample to its population. This study also try to explore the average response rate and its related aspects in most of the researches in the field of MIS. Sixty six published papers on MIS are collected and their reported response rates are analyzed. The findings are: (1) The average response rate is significantly lower than the figure Heberlein & Baumgartner reported. This fact is worth more attention from researchers. (2) The sample size is negatively correlated with the response rate. It is apparent that researchers put too much emphasis on the numbers of questionnaire returned and neglect the importance of the response rate. (3) The average of invalid response rate is 3. 19%. This may be the threshold for researcher to examine the questionnaire and the situation involved more carefully. (4) The follow-up technique is not applied extensively in order to increase the response rate. This may explain the fact that the lower response rate found in the MIS research in Taiwan.