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2023
  • Hu LYR, He Y, Irimata KE. A comparison of chi-square tests and software to analyze categorical survey data. Women in Statistics and Data Science Conference. October 2023.
  • Zhang G, Cai B, He Y, Oganyan A. Creating Synthetic Survey Data Using Different Approaches – A Comparison Study. Women in Statistics and Data Science Conference. October 2023.
  • Cibelli Hibben K, Smith Z, Rogers B, Ryan V, Scanlon P, Hoppe T. A Semi-Automated Nonresponse Detector model for Surveys (SANDS). Federal Committee on Statistical Methodology Research and Policy Conference. October 2023.
  • Wei R, Parsons VL, He Y. Use of the R-indicator to Assess Representativeness of a Web Survey. Federal Committee on Statistical Methodology Research and Policy Conference. October 2023.
  • Parsons VL, He Y, Irimata K, Cai B. Combining and Standardizing Panel Surveys as part of a Government Survey System – an Investigation. Federal Committee on Statistical Methodology Research and Policy Conference. October 2023.
  • Ryan V, Miller K, Earp M, Scanlon P. Asking about Gender as a Single, Non-binary Construct Versus a Two-Step Question Approach. Federal Committee on Statistical Methodology Research and Policy Conference. October 2023.
  • Cibelli Hibben K, Smith Z, Rogers B, Ryan V, Scanlon P, Hoppe T. A Semi-Automated Nonresponse Detector model for Surveys (SANDS). Data Quality in Web Probing and Self-Rated Health Research Webinar, GESIS – Leibniz Institute for the Social Sciences. October 2023.
  • Cai B, Zhang G, He Y, Oganyan A. A Comparison Study of Creating Synthetic Survey Data Using Different Approaches: A Case Study. Joint Statistical Meetings. August 2023.
  • He Y, Irimata K, Zhang G, Li Y. A Multiple Imputation Comparison Analysis Approach to Web Surveys Subject to Selection Bias. Joint Statistical Meetings. August 2023.
  • Irimata K, Li Y, He Y. Identifying covariates to adjust for selection bias in national estimates of web-based panel surveys. Joint Statistical Meetings. August 2023.
  • Parker J. Providing data for timely health information for diverse populations. Joint Statistical Meetings. August 2023.
  • Cibelli Hibben K, Smith Z, Rogers B, Ryan V, Hoppe T. A Semi-Automated Nonresponse Detection for Surveys (SANDS) model for open-response data. European Survey Research Association Semi-Annual Conference. July 2023.
  • Miller K. Development of a Single Non-binary Gender Item: Methodology and Implications for Asking about Gender. European Survey Research Association Semi-Annual Conference. July 2023.
  • Scanlon, P Evaluating Questions when Time is Tight: Using Multi-Method, Multi-Phase Approaches in a Rapid Survey Environment. European Survey Research Association Semi-Annual Conference. July 2023.
  • Cibelli Hibben K, Smith Z, Rogers B, Ryan V, Hoppe T. A Semi-Automated Nonresponse Detector (SANDS) model for open-response data. American Association for Public Opinion Research Conference. May 2023.
  • Ryan V, Scanlon P. Single Item Versus Two Question Approach: Results of a Question Design Experiment for Asking about Gender as a Non-Binary Construct. American Association for Public Opinion Research Conference. May 2023.
  • Scanlon P. Flexible Evaluation: Using a Multi-Phase and Multi-Method Question Evolution Approach in a Rapid Survey Environment. American Association for Public Opinion Research Conference. May 2023.
  • Rogers B, Cibelli Hibben K, Ryan V. Natural Language Processing Practices Using Large Language Models to Examine Open-Ended Survey Data. American Association for Public Opinion Research Conference. May 2023.
  • Cibelli Hibben K, Smith Z, Rogers B, Ryan V, Hoppe T. A Semi-Automated Nonresponse Detector (SANDS) model for open-response data. Federal Computer Assisted Survey Information Collection Workshops. April 2023.
  • Smith Z, Cibelli Hibben K, Rogers B, Ryan V, Scanlon P, Hoppe T. Sociodemographic and methodological subgroups correlates of item nonresponse to open-ended web probes. Federal Computer Assisted Survey Information Collection Workshops. April 2023.
  • Irimata K, Parsons V, Cai B, Hu R, Rong W, Zhang G, Shin H-C, He Y. Applying Calibration Weighting to Real-Time Surveys: Some Lessons Learned from the Research and Development Survey (RANDS). Current Innovations in Probability-based Household Internet Panel Research Conference. March 2023.
  • Irimata K. Measuring Emerging Health Topics through the National Center for Health Statistics’ Rapid Surveys Program. International Conference on Health Policy Statistics. January 2023.

2022
  • Irimata K, Li Y, He Y, Parker JD. Variable inclusion strategies for adjusting the weights of surveys subject to selection bias. Federal Committee on Statistical Methodology Research and Policy Conference. October 2022.
  • Hu LYR, He Y, Irimata K. Comparison of chi-square tests computed by multiple statistical programs for survey analyses. Joint Statistical Meetings. August 2022.
  • He Y, Irimata K, Parsons V, Cai B, Hu R, Wei R, et al. Applying calibration weighting to real-time surveys: Some lessons learned from the Research and Development Survey (RANDS). In: Proceedings of the Joint Statistical Meetings, Survey Research Methods Section. Washington, DC: American Statistical Association. August 2022.
  • Irimata K, Rogers B, Cha A. Producing machine learning model-based health estimates using web-based panel data. In: Proceedings of the Joint Statistical Meetings, Survey Research Methods Section. Washington, DC: American Statistical Association. August 2022.
  • Scanlon P. Data collection and research using the National Center for Health Statistics’ Research and Development Survey (RANDS). In: Proceedings of the Joint Statistical Meetings, Survey Research Methods Section. Washington, DC: American Statistical Association. August 2022.
  • Scanlon P, Irimata K. Using commercial survey panels to produce rapid estimates: NCHS’ Research and Development Survey (RANDS) during COVID-19. NCHS Data Analysis Group. July 2022.
  • Irimata K. Estimation from web-based surveys: Choosing the right variables to reduce selection bias. Washington Statistical Society Statistical Seminar Event. May 2022.
  • Irimata K, Li Y, He Y, Parker J. Variable inclusion strategies through directed acyclic graphs to adjust health surveys subject to selection bias for producing national estimates. Small Area Estimation Conference. May 2022.
  • Irimata K, Scanlon P. NCHS’ Research and Development Survey: Commercial survey panels for methodological research. National Institutes of Health Library Webinar Series. March 2022.

2021
  • Cibelli Hibben K, Ryan V, Hoppe T, Scanlon P, Miller K. Analysis of open-text time reference web probes on a COVID-19 survey. Federal Committee on Statistical Methodology Research and Policy Conference. November 2021.
  • Hu LYR, He Y, Scanlon P, Miller K, Irimata K, Zhang G, Cibelli Hibben K. An overview of the 2019 Research and Development Survey (RANDS). Federal Committee on Statistical Methodology Research and Policy Conference. November 2021.
  • Irimata K. Introduction to the Research and Development Survey and calibration approaches for panel surveys. Federal Committee on Statistical Methodology Research and Policy Conference. November 2021.
  • Cibelli Hibben KL, Ryan V, Hoppe T, Scanlon P, Miller K. Analysis of open-text time reference web probes on a COVID-19 survey. General Online Research Annual Virtual Conference. September 2021.
  • Cai B. Mode effects in the Research and Development Survey (RANDS). Joint Statistical Meetings Virtual Conference. August 2021.
  • He Y, Zhang G, Parsons V. Machine learning methods: A case study using online web-based panel surveys. Joint Statistical Meetings Virtual Conference. August 2021.
  • Hu LYR, He Y, Scanlon P, Miller K, Irimata K, Zhang G, Cibelli Hibben K. An overview of the 2019 Research and Development Survey (RANDS). Joint Statistical Meetings Virtual Conference. August 2021.
  • Irimata K, He Y, Parsons V, Shin H-C, Zhang G. Calibration of RANDS during COVID-19, a web-based panel survey. Joint Statistical Meetings Virtual Conference. August 2021.
  • Cibelli Hibben KL, Scanlon P. Innovative approaches to question evaluation during COVID-19. European Survey Research Association Semi-annual Virtual Conference. July 2021.
  • Cibelli Hibben KL, Hu R, Ryan V, Earp M, Scanlon P, Miller K. A mixed-methods approach to understanding the performance of self-rated health questions in the United States. American Association for Public Opinion Research 76th Annual Virtual Conference. May 2021.
  • He Y, Parsons V, Zhang G. Machine learning methods, a case study using an online web-based panel survey. Symposium on Data Science and Statistics Virtual Conference. May 2021.
  • Cibelli Hibben KL, Hu R, Earp M, Scanlon P, Miller K. A mixed-methods approach to understanding the performance of self-rated health questions in the United States. Comparative Survey Design and Implementation Virtual Workshop. March 2021.

2020
  • Scanlon P, Irimata K. Expanding the use of NCHS’ Research and Development Survey to quantify health characteristics during the Coronavirus pandemic. Federal Committee on Statistical Methodology Research and Policy Conference. September 2020.
  • Scanlon P, Irimata K. NCHS Research and Development Survey during COVID-19 Webinar: Using an existing survey in a new way. NCHS Webinar. August 2020.
  • Cai B, Irimata K, Shin H-C. The pattern of calibrated estimates for demographic and health variables in probability-based web surveys, a case study. Joint Statistical Meetings Virtual Conference, Government Statistics Section. August 2020.
  • Beresovsky V. Having a cake and eating it too―Robust and efficient estimation by benchmarking web samples to probability survey samples. Joint Statistical Meetings Virtual Conference, Government Statistics Section. August 2020.
  • Irimata K. Propensity score adjusted estimation of national health outcomes from web panels. Joint Statistical Meetings Virtual Conference, Government Statistics Section. August 2020.
  • Zhang G, He Y, Cai B, Moriarity C, Shin H-C, Parsons V, et al. Multiple imputation of missing income and marital status of the Research and Development Survey (RANDS). Joint Statistical Meetings Virtual Conference, Government Statistics Section. August 2020.

2019
  • Beresovsky V. On application of a response propensity model to estimation from web samples. Joint Statistical Meetings, Survey Research Methods Section. July 2019.
  • Scanlon P, Creamer L. Combining the traditional with the innovative: The evaluation of e-cigarette questions with cognitive interviewing and web probing. 8th Conference of the European Survey Research Association. July 2019.
  • Scanlon P. Better together: How web probing and cognitive interviewing complement each other in question evaluation studies. 8th Conference of the European Survey Research Association. July 2019.
  • Scanlon P. Moving web probing forward: An examination of probe type and formatting. 8th Conference of the European Survey Research Association. July 2019.
  • Yu E, Fobia A, Scanlon P, Kaplan R, Holzberg J. Introduction to using online testing to support pre-testing and survey methods research in the federal government. DC-American Association for Public Opinion Research Short Course. June 2019.
  • Scanlon P. NCHS’ mixed-method approach for the examination of measurement error. Statistics Canada–National Center for Health Statistics Interchange. June 2019.
  • Irimata K. Comparison of quarterly and yearly NHIS data for propensity score adjusted web survey estimates. Statistics Canada–National Center for Health Statistics Interchange. June 2019.
  • Miller K, Bilgen I. Is a picture worth a thousand words? The examination of varying design of opioid use items and opioid images on data quality. American Association for Public Opinion Research Annual Conference. May 2019.
  • Creamer L, Scanlon P, Reynolds B, Massey M. Introductory text use in e-cigarette measures: Results from a web survey experiment. American Association for Public Opinion Research Annual Conference. May 2019.
  • Scanlon P. Forced-choice versus select-all-that-apply: The results of a web probe formatting experiment. American Association for Public Opinion Research Annual Conference. May 2019.
  • Reynolds B, Bilgen I, Scanlon P. Measuring psychological distress in the redesigned NHIS: A multi-method question evaluation study. American Association for Public Opinion Research Annual Conference. May 2019.
  • Scanlon P. Using online probability panels for questionnaire design and evaluation research. Federal Computer Assisted Survey Information Collection Workshops. April 2019.

2018
  • He Y, Shin H-C, Cai B, Beresovsky V, Scanlon P, Parsons V, et al. The utility of using web surveys to provide official estimates for major health outcomes, a pilot study. In: Proceedings of Statistics Canada Symposium. Ottawa, ON: Statistics Canada International Symposium. December 2018.
  • He Y, Shin H, Cai B, Beresovsky V, Scanlon P, Parsons V, et al. The utility of using web surveys to measure and estimate major health outcomes, a pilot study. Symposium of CDC/ATSDR Statistics Day. September 2018.
  • Beresovsky V. Variance estimation under model-implied randomization of nonrandom samples. Joint Statistical Meetings, Survey Research Methods and Government Statistics Sections. July 2018.
  • He Y, Shin H, Cai B, Beresovsky V, Scanlon P, Parsons V, Meyer P, Parker JD. The utility of using web surveys to measure and estimate major health outcomes, a pilot study. Joint Statistical Meetings, Survey Research Methods Section. July 2018.
  • Scanlon P. Using web probes to explore the distribution of interpretative measurement error across population sub-groups. American Association for Public Opinion Research Annual Conference. May 2018.
  • Creamer L, Scanlon P, Massey M, Reynolds B. Introductory text use in e-cigarette measures: Results from two cognitive interview studies and a web survey. American Association for Public Opinion Research Annual Conference. May 2018.
  • Reynolds B, Scanlon P. Measuring health insurance coverage in the United States: A question evaluation study using embedded web probes. American Association for Public Opinion Research Annual Conference. May 2018.
  • Reynolds B, Scanlon P. Using online survey panels to evaluate response error in health insurance questions. Federal Computer Assisted Survey Information Collection Workshops. April 2018.
  • Beresovsky V. Inferences from nonrandom samples with model-implied randomization. Federal Committee on Statistical Methodology Research and Policy Conference. March 2018.
  • Scanlon P. Using close-ended web probes to inform the redesign of the National Health Interview Survey chronic lung condition questions. Federal Committee on Statistical Methodology Research and Policy Conference. March 2018.

2017
  • Beresovsky V. Imputation classes as a framework for inferences from nonrandom samples. National Institute of Statistical Sciences/Washington Statistical Society Workshop on Inference from Nonprobability Samples. September 2017.
  • Singh AC, Beresovsky V, Ye C. Estimation from purposive samples with the aid of probability supplements but without data on the study variable. In: Proceedings of the Joint Statistical Meetings, Survey Research Methods Section. Baltimore, MD. 2017.
  • Beresovsky V. Imputation classes as a framework for inferences from non-random samples. In: Proceedings of the Joint Statistical Meetings, Survey Research Methods Section. Baltimore, MD. 2017.
  • Scanlon P. Methodological considerations for the use of close-ended online probes. 7th Conference of the European Survey Research Association. July 2017.
  • Scanlon P, Edgar J. It’s not either/or: Web probing and cognitive interviewing in question evaluation studies. World Association for Public Opinion Research Annual Conference. July 2017.
  • Edgar J, Scanlon P. Apples and oranges: What is the right question when comparing web probing and cognitive interviewing? American Association for Public Opinion Research Annual Conference. May 2017.

2016
  • Scanlon P. Web panel research at the National Center for Health Statistics. Statistics Canada–National Center for Health Statistics Interchange. November 2016.
  • Scanlon P. Using targeted embedded probes to quantify cognitive interviewing findings. International Conference on Questionnaire Design, Evaluation, and Testing Conference. November 2016.
  • Scanlon P. Using web panels to quantify the qualitative. American Association for Public Opinion Research Annual Conference. May 2016.
  • Scanlon P, Miller K. Moving towards mixed-method questionnaire evaluation: Combining cognitive interviewing and the use of targeted embedded probes. World Association for Public Opinion Research Annual Conference. May 2016.

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