Abstract: Internet makes large-sample web surveys easy and inexpensive. However, the survey non-response rate (or missing response) is generally high. It is reasonably expected that the survey non-response rate increases as the number of survey questions increases. We propose a partial survey method, in which only a subset of survey questions are distributed to each tester and different testers may receive different questions. Then, the tester can spend much less time responding a short survey compared to the full survey (which includes all survey questions), and therefore it is less likely for a tester to decline the survey and hence increases survey response rate. A mixed survey, composed of the partial survey and full survey, is as well as an extrapolation estimator were also proposed and studied. Simulation was conducted and showed the partial survey produces less biased estimator for the mean response and regression coefficients than the full survey, but with increased standard error for the estimation.