Presented By: Summer Institute in Survey Research Techniques
Responsive Survey Design for Web Surveys (one-day workshop)
Stephanie Coffey, Scott Crawford and Julie Smith
For more information on this program, please visit the RSD Program web site: https://rsdprogram.si.isr.umich.edu/
Not for academic credit workshop (*Remote participation option available)
RSD has financial support available to those who qualify
Responsive survey design (RSD) refers to a method for designing surveys that has been demonstrated to increase the quality and efficiency of survey data collection. RSD uses evidence from early phases of data collection to make design decisions for later phases. Beginning in the 2018 Summer Institute, we will offer a series of eleven one-day short courses in RSD techniques.
*Remote participation option: It is not necessary to be physically in Ann Arbor to participate in these workshops. Students who cannot be in Ann Arbor can enroll and join sessions via BlueJeans (https://www.bluejeans.com/). Once enrollment is confirmed via email, indicate if course attendance will be in person, in Ann Arbor or via BlueJeans. Survey Methodology for Randomized Controlled Trails does not have the remote participation option.
Topics covered: Web surveys can be an inexpensive method for collecting data. This is especially true for designs that repeat measurement over several time periods. However, these relatively low-cost data collections may result in reduced data quality if the problem of nonresponse is ignored. This course will examine methods for using RSD to effectively deploy scarce resources in order to minimize the risk of nonresponse bias. Recent experience with the University of Michigan Campus Climate Survey and the National Survey of College Graduates is used to illustrate this point. These surveys are defined by phased designs and multiple modes of contact. This approach produced relatively high response rates and used alternative contact methods in later phases to recruit sample members from subgroups that were less likely to respond in earlier phases. In the case of the UM-CCS all of this was accomplished on a very small budget and with a small management team. Lessons from these experiences can be directly applied in many similar settings.
Not for academic credit workshop (*Remote participation option available)
RSD has financial support available to those who qualify
Responsive survey design (RSD) refers to a method for designing surveys that has been demonstrated to increase the quality and efficiency of survey data collection. RSD uses evidence from early phases of data collection to make design decisions for later phases. Beginning in the 2018 Summer Institute, we will offer a series of eleven one-day short courses in RSD techniques.
*Remote participation option: It is not necessary to be physically in Ann Arbor to participate in these workshops. Students who cannot be in Ann Arbor can enroll and join sessions via BlueJeans (https://www.bluejeans.com/). Once enrollment is confirmed via email, indicate if course attendance will be in person, in Ann Arbor or via BlueJeans. Survey Methodology for Randomized Controlled Trails does not have the remote participation option.
Topics covered: Web surveys can be an inexpensive method for collecting data. This is especially true for designs that repeat measurement over several time periods. However, these relatively low-cost data collections may result in reduced data quality if the problem of nonresponse is ignored. This course will examine methods for using RSD to effectively deploy scarce resources in order to minimize the risk of nonresponse bias. Recent experience with the University of Michigan Campus Climate Survey and the National Survey of College Graduates is used to illustrate this point. These surveys are defined by phased designs and multiple modes of contact. This approach produced relatively high response rates and used alternative contact methods in later phases to recruit sample members from subgroups that were less likely to respond in earlier phases. In the case of the UM-CCS all of this was accomplished on a very small budget and with a small management team. Lessons from these experiences can be directly applied in many similar settings.
Cost
- $300
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