Web Survey Bibliography
Title National Estimates of Sexual Minority Women Alcohol Use through Web Based Respondent Driven Sampling
Year 2016
Access date 09.06.2016
Abstract
We describe a methodology that ICF developed for on-line respondent driven sampling (RDS) recruitment and telephone data collection in order
to assess alcohol use in sexual minority women. Risk behaviors and protective factors in sexual minority women cannot be effectively studied in national surveys due to insufficient sample sizes, and many studies of this population are limited to small geographic regions. This methodology allows for national estimates of key risk behaviors and protective factors. The study includes novel methods for selecting seeds for the RDS sample from the National Alcohol Survey. Seeds and their eligible recruits are given recruitment coupons via email which they are incentivized to forward to contacts in their socialnetwork who may be eligible. Interviews are scheduled and conducted via phone. We will discuss the outcomes of the initial pilot testing this approach. The pilot includes 10 seeds and the subsequent recruitment chains which occur over the course of 2 weeks. If data are available, we will discuss the results of the full study which will include an anticipated 1,000 interviews. We will discuss both the effectiveness and challenges identified with the methodology, including efforts to prevent incentive collection scams, as well as present key estimates for risk behaviors and protective factors related to alcohol use in sexual minority women.
to assess alcohol use in sexual minority women. Risk behaviors and protective factors in sexual minority women cannot be effectively studied in national surveys due to insufficient sample sizes, and many studies of this population are limited to small geographic regions. This methodology allows for national estimates of key risk behaviors and protective factors. The study includes novel methods for selecting seeds for the RDS sample from the National Alcohol Survey. Seeds and their eligible recruits are given recruitment coupons via email which they are incentivized to forward to contacts in their socialnetwork who may be eligible. Interviews are scheduled and conducted via phone. We will discuss the outcomes of the initial pilot testing this approach. The pilot includes 10 seeds and the subsequent recruitment chains which occur over the course of 2 weeks. If data are available, we will discuss the results of the full study which will include an anticipated 1,000 interviews. We will discuss both the effectiveness and challenges identified with the methodology, including efforts to prevent incentive collection scams, as well as present key estimates for risk behaviors and protective factors related to alcohol use in sexual minority women.
Access/Direct link Conference Homepage (abstract)
Year of publication2016
Bibliographic typeConferences, workshops, tutorials, presentations
Web survey bibliography (4086)
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- Answering Without Reading: IMCs and Strong Satisficing in Online Surveys; 2017; Anduiza, E.; Galais, C.
- Ideal and maximum length for a web survey; 2017; Revilla, M.; Ochoa, C.
- Social desirability bias in self-reported well-being measures: evidence from an online survey; 2017; Caputo, A.
- Web-Based Survey Methodology; 2017; Wright, K. B.
- Handbook of Research Methods in Health Social Sciences; 2017; Liamputtong, P.
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- Effects of sampling procedure on data quality in a web survey; 2017; Rimac, I.; Ogresta, J.
- Comparability of web and telephone surveys for the measurement of subjective well-being; 2017; Sarracino, F.; Riillo, C. F. A.; Mikucka, M.
- Achieving Strong Privacy in Online Survey; 2017; Zhou, Yo.; Zhou, Yi.; Chen, S.; Wu, S. S.
- A Meta-Analysis of the Effects of Incentives on Response Rate in Online Survey Studies; 2017; Mohammad Asire, A.
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- Millennials and emojis in Spain and Mexico.; 2017; Bosch Jover, O.; Revilla, M.
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- Nonresponses as context-sensitive response behaviour of participants in online-surveys and their relevance...; 2017; Wetzlehuetter, D.
- Do distractions during web survey completion affect data quality? Findings from a laboratory experiment...; 2017; Wenz, A.
- Predicting Breakoffs in Web Surveys; 2017; Mittereder, F.; West, B. T.
- Measuring Subjective Health and Life Satisfaction with U.S. Hispanics; 2017; Lee, S.; Davis, R.
- Humanizing Cues in Internet Surveys: Investigating Respondent Cognitive Processes; 2017; Jablonski, W.; Grzeszkiewicz-Radulska, K.; Krzewinska, A.
- A Comparison of Emerging Pretesting Methods for Evaluating “Modern” Surveys; 2017; Geisen, E., Murphy, J.
- The Effect of Respondent Commitment on Response Quality in Two Online Surveys; 2017; Cibelli Hibben, K.
- Pushing to web in the ISSP; 2017; Jonsdottir, G. A.; Dofradottir, A. G.; Einarsson, H. B.
- The 2016 Canadian Census: An Innovative Wave Collection Methodology to Maximize Self-Response and Internet...; 2017; Mathieu, P.
- Push2web or less is more? Experimental evidence from a mixed-mode population survey at the community...; 2017; Neumann, R.; Haeder, M.; Brust, O.; Dittrich, E.; von Hermanni, H.
- In search of best practices; 2017; Kappelhof, J. W. S.; Steijn, S.
- Redirected Inbound Call Sampling (RICS); A New Methodology ; 2017; Krotki, K.; Bobashev, G.; Levine, B.; Richards, S.
- An Empirical Process for Using Non-probability Survey for Inference; 2017; Tortora, R.; Iachan, R.
- The perils of non-probability sampling; 2017; Bethlehem, J.
- A Comparison of Two Nonprobability Samples with Probability Samples; 2017; Zack, E. S.; Kennedy, J. M.
- Rates, Delays, and Completeness of General Practitioners’ Responses to a Postal Versus Web-Based...; 2017; Sebo, P.; Maisonneuve, H.; Cerutti, B.; Pascal Fournier, J.; Haller, D. M.
- Necessary but Insufficient: Why Measurement Invariance Tests Need Online Probing as a Complementary...; 2017; Meitinger, K.
- Nonresponse in Organizational Surveying: Attitudinal Distribution Form and Conditional Response Probabilities...; 2017; Kulas, J. T.; Robinson, D. H.; Kellar, D. Z.; Smith, J. A.
- Theory and Practice in Nonprobability Surveys: Parallels between Causal Inference and Survey Inference...; 2017; Mercer, A. W.; Kreuter, F.; Keeter, S.; Stuart, E. A.
- Is There a Future for Surveys; 2017; Miller, P. V.
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- Social Desirability and Undesirability Effects on Survey Response latencies; 2017; Andersen, H.; Mayerl, J.
- A Working Example of How to Use Artificial Intelligence To Automate and Transform Surveys Into Customer...; 2017; Neve, S.
- A Case Study on Evaluating the Relevance of Some Rules for Writing Requirements through an Online Survey...; 2017; Warnier, M.; Condamines, A.
- Estimating the Impact of Measurement Differences Introduced by Efforts to Reach a Balanced Response...; 2017; Kappelhof, J. W. S.; De Leeuw, E. D.
- Targeted letters: Effects on sample composition and item non-response; 2017; Bianchi, A.; Biffignandi, S.