Published on in Vol 18, No 11 (2016): November

Comparing Twitter and Online Panels for Survey Recruitment of E-Cigarette Users and Smokers

Comparing Twitter and Online Panels for Survey Recruitment of E-Cigarette Users and Smokers

Comparing Twitter and Online Panels for Survey Recruitment of E-Cigarette Users and Smokers

Journals

  1. Landmesser A, Scherer M, Pluym N, Sarkar M, Edmiston J, Niessner R, Scherer G. Biomarkers of Exposure Specific to E-vapor Products Based on Stable-Isotope Labeled Ingredients. Nicotine & Tobacco Research 2019;21(3):314 View
  2. Wang-Schweig M, Miller B, Buller D, Byrnes H, Bourdeau B, Rogers V. Using Panel Vendors for Recruitment Into a Web-Based Family Prevention Program: Methodological Considerations. Evaluation & the Health Professions 2019;42(1):24 View
  3. Pozzar R, Hammer M, Underhill-Blazey M, Wright A, Tulsky J, Hong F, Gundersen D, Berry D. Threats of Bots and Other Bad Actors to Data Quality Following Research Participant Recruitment Through Social Media: Cross-Sectional Questionnaire. Journal of Medical Internet Research 2020;22(10):e23021 View
  4. Cahill T, Wertz B, Zhong Q, Parlato A, Donegan J, Forman R, Manot S, Wu T, Xu Y, Cummings J, Norkunas Cunningham T, Wang C. The Search for Consumers of Web-Based Raw DNA Interpretation Services: Using Social Media to Target Hard-to-Reach Populations. Journal of Medical Internet Research 2019;21(7):e12980 View
  5. Lee H, Hsieh Y, Murphy J, Tidey J, Savitz D. Health Research Using Facebook to Identify and Recruit Pregnant Women Who Use Electronic Cigarettes: Internet-Based Nonrandomized Pilot Study. JMIR Research Protocols 2019;8(10):e12444 View
  6. Walczak S. Artificial Neural Network Research in Online Social Networks. International Journal of Virtual Communities and Social Networking 2018;10(4):1 View
  7. Manning K, Garey L, Mayorga N, Nizio P, Zvolensky M. Predicting electronic cigarette dependence and perceived barriers for electronic cigarette cessation: examining the roles of fatigue severity and emotion dysregulation. Fatigue: Biomedicine, Health & Behavior 2020;8(1):11 View
  8. Sanchez C, Grzenda A, Varias A, Widge A, Carpenter L, McDonald W, Nemeroff C, Kalin N, Martin G, Tohen M, Filippou-Frye M, Ramsey D, Linos E, Mangurian C, Rodriguez C. Social media recruitment for mental health research: A systematic review. Comprehensive Psychiatry 2020;103:152197 View
  9. Morean M, Lederman I. Prevalence and correlates of medical cannabis patients' use of cannabis for recreational purposes. Addictive Behaviors 2019;93:233 View
  10. Guillory J, Kim A, Fiacco L, Cress M, Pepper J, Nonnemaker J. An Experimental Study of Nicotine Warning Statements in E-cigarette Tweets. Nicotine & Tobacco Research 2020;22(5):814 View
  11. Manning K, Garey L, Viana A, Smit T, Zvolensky M. The moderating role of anxiety sensitivity in terms of fatigue severity and e-cigarette use expectancies. Journal of Health Psychology 2020:135910532092653 View
  12. Pitas N, Mowen A, Mueller J, Taff B, Graefe A. The role of values, ideologies, and attitudes in shaping public support for privatization in local park and recreation services. Journal of Leisure Research 2020;51(1):16 View
  13. Guillory J, Wiant K, Farrelly M, Fiacco L, Alam I, Hoffman L, Crankshaw E, Delahanty J, Alexander T. Recruiting Hard-to-Reach Populations for Survey Research: Using Facebook and Instagram Advertisements and In-Person Intercept in LGBT Bars and Nightclubs to Recruit LGBT Young Adults. Journal of Medical Internet Research 2018;20(6):e197 View
  14. Cavallo D, Lim R, Ishler K, Pagano M, Perovsek R, Albert E, Koopman Gonzalez S, Trapl E, Flocke S. Effectiveness of Social Media Approaches to Recruiting Young Adult Cigarillo Smokers: Cross-Sectional Study. Journal of Medical Internet Research 2020;22(7):e12619 View
  15. Bian J, Zhao Y, Salloum R, Guo Y, Wang M, Prosperi M, Zhang H, Du X, Ramirez-Diaz L, He Z, Sun Y. Using Social Media Data to Understand the Impact of Promotional Information on Laypeople’s Discussions: A Case Study of Lynch Syndrome. Journal of Medical Internet Research 2017;19(12):e414 View
  16. Cornet V, Toscos T, Bolchini D, Rohani Ghahari R, Ahmed R, Daley C, Mirro M, Holden R. Untold Stories in User-Centered Design of Mobile Health: Practical Challenges and Strategies Learned From the Design and Evaluation of an App for Older Adults With Heart Failure. JMIR mHealth and uHealth 2020;8(7):e17703 View
  17. Daniulaityte R, Zatreh M, Lamy F, Nahhas R, Martins S, Sheth A, Carlson R. A Twitter-based survey on marijuana concentrate use. Drug and Alcohol Dependence 2018;187:155 View
  18. Murphy J, Hsieh Y, Wenger M, Kim A, Chew R. Supplementing a survey with respondent Twitter data to measure e-cigarette information exposure. Information, Communication & Society 2019;22(5):622 View
  19. Samanci S, Didem Atalay K, Bahar Isin F. Focusing on the big picture while observing the concerns of both managers and passengers in the post-covid era. Journal of Air Transport Management 2021;90:101970 View
  20. Leiby J, Rennekamp K, Trotman K. Challenges in Experimental Accounting Research, and the Role of Online Platforms. SSRN Electronic Journal 2019 View
  21. Evoy K, Covvey J, Peckham A, Reveles K. Gabapentinoid misuse, abuse and non-prescribed obtainment in a United States general population sample. International Journal of Clinical Pharmacy 2021 View
  22. McGee B, Leonte M, Wildenhaus K, Wilcox M, Reps J, LaCross L. Leveraging Digital Technology in Conducting Longitudinal Research on Mental Health in Pregnancy: Longitudinal Panel Survey Study. JMIR Pediatrics and Parenting 2021;4(2):e16280 View
  23. Pratt-Chapman M, Moses J, Arem H. Strategies for the Identification and Prevention of Survey Fraud: Data Analysis of a Web-Based Survey. JMIR Cancer 2021;7(3):e30730 View