Transcript 슬라이드 1
The 4th International Workshop on Internet Survey Methods, 12-13 Sept. Statistical Center, Statistics Korea, Daejeon Internet Surveys & Future Works In Official Statistics 1 The Rise of Internet Surveys The optimum properties of a survey – – – – High response rates Low costs Quick response and return High quality data F to F interview can not be a predominant method – People are busier – Privacy is highly valued and sensitive 2 The Rise of Internet Surveys (cont.) With the advancement of science and technology – Internet emerged as a data collection option Needs for innovation of data collection modes in Official Statistics(OS) – Budgetary pressures – Growing difficulty in access to respondents Internet == good solution candidate 3 Expectations from the Workshop The 1st workshop was held in 2009 – To promote Internet surveys(IS) – To discuss latest research on web survey methods – To explore its potential in official statistics The past three workshops dealt with major issues relating to Internet surveys - E-census experiences, Estimation for Volunteer Panel, Response Rate problem - The use of mixed mode data collection, Propensity score weighting, the statistical use of the administrative data The focus of this workshop – How to ensure data quality from Internet Surveys 4 Expectations from the Workshop Key Questions - Does IS mode contribute to the improvement of data quality? - How to effectively implement Internet surveys in OS to ensure data quality? 5 Summary of Sessions [Session 1] Advantages and disadvantages of utilizing IS methods for OS Internet only surveys are rare, especially in OS Mixed mode(MM) design is widely used - It is not evident that sequential design starting with the internet is best The benefit of sequential MM design lies in cost, speed of response, data quality - rather than response rates - Yet, measurement differences exist between survey modes 6 Summary of Sessions [Session 2] Design and implementation issues in web surveys Incentives can improve Response Rates for Internet Surveys - Improved response rates do not necessarily indicate better quality survey data, and better quality is difficult to determine - Incentives can have different effects on different groups Importance of recognizing participant characteristics 7 Summary of Sessions [Session 3] Cases of statistics utilizing Internet survey methods Cases in Official Statistics - Redesigning French Internet Business data collection at INSEE - Optimization of operations and systems for statistical work – administrative reform in Japanese Cases in Public Opinion Surveys - Online surveys can be limited by respondent conditions such as computer skill, online usage, concern etc. 8 Summary of Sessions [Session 4] Data Quality issues in web surveys Case of Netherlands : focusing on decreasing budgets and increasing accuracy in MM design - MM surveys including IS are cheaper but mode effects are large - How to stabilize statistics in MM surveys including web is an issue Case of European Social Survey - Using MM design shows measurement differences among modes - However, there in no simple adjustment method for these mode effects Case Study of Internet surveys: Abu Dhabi 9 Lessons Learned - using IS in OS 1. Does IS mode contribute to the improvement data quality? IS mode is not so promising in RR - However, RR can vary on the survey content, disposition of the persons, and process of survey i.g) The survey on Private Education Expenses in Korea: high RR in IS Potential to improve data quality by appropriate web survey design was found - There seems no common criterion for measuring the data quality MM becomes more appropriate for OS as survey circumstances are changing – Strength in survey cost, response speed, and access to hardto-contact group 10 Lessons Learned - using IS in OS 2. How to effectively implement Internet surveys in OS to ensure data quality? Sequential MM design with the Internet mode as the first step Analyzing the dispositions of respondents by mode Considering enumerator and incentive effects in MM Trying to minimize the measurement error differences 11 Review of Internet Surveys in Statistics Korea Utilizing the internet survey as MM design – Total of 43 Survey – Uses of 26 survey : 16 on establishment, 10 on households – About 48% internet uptake rate in 2010 census Offering convenience to respondents hard to reach The matter of data quality remains i.g) The duplication of responses among household members from census 12 Research projects in Statistics Korea Our current researches for MM surveys - MM design for 2015 census including IS questionnaire design to increase data quality - Estimation methods considering response differences by survey mode 13 Future works Research on questionnaire design in MM design - Question may differ on paper vs. internet questionnaire - Need to explore method to handle these differences Research on statistical methodologies for different mode effects - Selection bias, nonresponse bias, measurement error etc. - Understanding the respondent propensities by modes Research for extended adoption of IS to establishment surveys 14 Thank you and Good bye 15