The SSRS Approach
The hallmarks of our approach include rigor, creativity, agility, partnership, mentorship, and transparency. Our experienced team collaborates with clients and thought partners to advance our expertise, provide opportunities for knowledge sharing, and increase intellectual activity at SSRS and in the field at large around the evolving methodological challenges facing survey research.
Quantitative Research Design and Development
Our experienced team of methodologists, data scientists, and researchers collaborate with clients to create sophisticated designs that deliver high-quality insights within real-world budget parameters. We have practical experience with a wide range of modes, sample types, and populations, including rare or special populations who are often underrepresented in survey research.
Weighting and Calibration
Our team of highly-trained statisticians versed in multiple analytic methods help to turn data into relevant and meaningful insights. Using experimentally-validated design-based and model-based approaches to weighting sample data, we facilitate the generation of accurate and replicable insights.
Working with Nonprobability and Hybrid Samples
SSRS understands the challenges of conducting research using opt-in and hybrid (probability and nonprobability) sample sources. We also understand the benefits of these samples. Our team helps our clients navigate the complicated nuances of these sample sources and provides tested, quantitative solutions that optimize data quality allowing for the generation of reliable and meaningful insights.
Data Analytics and Advanced Estimation
Our MADS team is comprised of highly-trained statisticians versed in multiple analytic methods to turn data into relevant and meaningful insights. We understand that data analysis begins with study design. Our methodologists and statisticians are engaged at the beginning of the deign process to ensure the data collected can be analyzed appropriately and that the analysis delivers answers to the questions driving the research.
Learn More About Our Analytics, Intelligence, & Data Science >>
Advanced Methods for Political Opinion and Election Polling
SSRS conducts political opinion and election-related research using a mix of samples, modes, and methods. This mixed-mode approach allows us to reach representative samples of adults and gauge the political environment. Our approach is tailored to address key challenges of modern-day election polling, particularly the risk of differential response rates between Democrats and Republicans and other hard-to-measure nonresponse biases.
Probability Panel Design and Innovation
When it comes to probability-based panels, innovation is paramount in the every-evolving world of public-opinion research. Whether we are thinking about our own SSRS Opinion Panel or highly scalable, cost-efficient proprietary panels tailored to meet our clients’ needs, our panel methods team is continually developing new ways of recruiting and retaining panelists, collecting rich and actionable data from respondents, and generating meaningful analytic insights.
Data Augmentation and Mapping
Leverage the power of auxiliary data to improve data collection and enhance policy-relevant insights. The SSRS Methods, Analytics, and Data Science Team (MADS) utilizes a wide array of geo-demographic data to augment survey data collected through the SSRS Opinion Panel and Address-Based Samples (ABS) to multiply the information available to researchers with limited respondent burden.
Quantitative Research Design and Development
Our experienced team of methodologists, data scientists, and researchers collaborate with clients to create sophisticated designs that deliver high-quality insights within real-world budget parameters. We have practical experience with a wide range of modes, sample types, and populations, including rare or special populations who are often underrepresented in survey research.
Weighting and Calibration
Our team of highly-trained statisticians versed in multiple analytic methods help to turn data into relevant and meaningful insights. Using experimentally-validated design-based and model-based approaches to weighting sample data, we facilitate the generation of accurate and replicable insights.
Working with Nonprobability and Hybrid Samples
SSRS understands the challenges of conducting research using opt-in and hybrid (probability and nonprobability) sample sources. We also understand the benefits of these samples. Our team helps our clients navigate the complicated nuances of these sample sources and provides tested, quantitative solutions that optimize data quality allowing for the generation of reliable and meaningful insights.
Data Analytics and Advanced Estimation
Our MADS team is comprised of highly-trained statisticians versed in multiple analytic methods to turn data into relevant and meaningful insights. We understand that data analysis begins with study design. Our methodologists and statisticians are engaged at the beginning of the deign process to ensure the data collected can be analyzed appropriately and that the analysis delivers answers to the questions driving the research.
Learn More About Our Analytics, Intelligence, & Data Science >>
Advanced Methods for Political Opinion and Election Polling
SSRS conducts political opinion and election-related research using a mix of samples, modes, and methods. This mixed-mode approach allows us to reach representative samples of adults and gauge the political environment. Our approach is tailored to address key challenges of modern-day election polling, particularly the risk of differential response rates between Democrats and Republicans and other hard-to-measure nonresponse biases.
Probability Panel Design and Innovation
When it comes to probability-based panels, innovation is paramount in the every-evolving world of public-opinion research. Whether we are thinking about our own SSRS Opinion Panel or highly scalable, cost-efficient proprietary panels tailored to meet our clients’ needs, our panel methods team is continually developing new ways of recruiting and retaining panelists, collecting rich and actionable data from respondents, and generating meaningful analytic insights.
Data Augmentation and Mapping
Leverage the power of auxiliary data to improve data collection and enhance policy-relevant insights. The SSRS Methods, Analytics, and Data Science Team (MADS) utilizes a wide array of geo-demographic data to augment survey data collected through the SSRS Opinion Panel and Address-Based Samples (ABS) to multiply the information available to researchers with limited respondent burden.
SSRS Survey Methods and Transparency Partnerships
The SSRS Centers for Excellence are committed to the advancement of knowledge and best practice. To advance that goal, we have formed intellectual partnerships with academic institutions committed to transparency and rigor in survey research.
