Presented By: Summer Institute in Survey Research Techniques
Survey Methodology for Health Science Researchers/Linking Adaptive Interventions and RSD (one-day workshop)
Brady West
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: Randomized Controlled Trials (RCTs) are an important tool for tests of internal validity of causal claims in both health and social sciences. In practice, however, inattention to crucial details of data collection methodology can compromise the internal validity test. One crucial example is recruitment and retention of participants – though randomized to treatment, unequal reluctance to participate or unequal attrition from the RCT jeopardize the internal validity of comparisons within the RCT design. Another crucial example is the interaction of treatment and measurement – if the measures themselves change in response to the RCT treatment, then observed treatment and control differences may reflect these measurement differences rather than treatment differences. In both cases, specific tools from survey methodology can be used to maximize the internal validity test in the RCT design. This course will focus on the survey methodology topics most important for maintaining the internal validity of RCT studies and feature specific examples of applications to RCTs. One set of tools will focus on maximizing participation and minimizing attrition of participants. Core survey methodology tools for encouraging participation in both pre-treatment measurement and the treatment itself as well as tools for minimizing the loss of participants to follow-up measures will be featured. These tools include incentives, tailoring refusal conversion, switching modes, and tracking strategies. Links to RSD will also be made. A second set of tools will focus on measurement construction to reduce chances of interaction with treatment. These tools include mode options, questionnaire design issues, and special instruments (such as life history calendars) to minimize reporting error. Each portion of the course will feature examples applying each specific tool to RCT studies.
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: Randomized Controlled Trials (RCTs) are an important tool for tests of internal validity of causal claims in both health and social sciences. In practice, however, inattention to crucial details of data collection methodology can compromise the internal validity test. One crucial example is recruitment and retention of participants – though randomized to treatment, unequal reluctance to participate or unequal attrition from the RCT jeopardize the internal validity of comparisons within the RCT design. Another crucial example is the interaction of treatment and measurement – if the measures themselves change in response to the RCT treatment, then observed treatment and control differences may reflect these measurement differences rather than treatment differences. In both cases, specific tools from survey methodology can be used to maximize the internal validity test in the RCT design. This course will focus on the survey methodology topics most important for maintaining the internal validity of RCT studies and feature specific examples of applications to RCTs. One set of tools will focus on maximizing participation and minimizing attrition of participants. Core survey methodology tools for encouraging participation in both pre-treatment measurement and the treatment itself as well as tools for minimizing the loss of participants to follow-up measures will be featured. These tools include incentives, tailoring refusal conversion, switching modes, and tracking strategies. Links to RSD will also be made. A second set of tools will focus on measurement construction to reduce chances of interaction with treatment. These tools include mode options, questionnaire design issues, and special instruments (such as life history calendars) to minimize reporting error. Each portion of the course will feature examples applying each specific tool to RCT studies.
Cost
- $300.00
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