This paper is in the following e-collection/theme issue:

Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (832) Research Instruments, Questionnaires, and Tools (576)

Published on in Vol 18, No 6 (2016): Jun

Using Visual Analogue Scales in eHealth: Non-Response Effects in a Lifestyle Intervention

Using Visual Analogue Scales in eHealth: Non-Response Effects in a Lifestyle Intervention

Using Visual Analogue Scales in eHealth: Non-Response Effects in a Lifestyle Intervention

Authors of this article:

Tim Kuhlmann1 Author Orcid Image ;   Ulf-Dietrich Reips1 Author Orcid Image ;   Julian Wienert2 Author Orcid Image ;   Sonia Lippke3 Author Orcid Image
Article Authors Cited by (12) Tweetations (17) Metrics

Journals

  1. Wienert J, Kuhlmann T, Storm V, Reinwand D, Lippke S. Latent user groups of an eHealth physical activity behaviour change intervention for people interested in reducing their cardiovascular risk. Research in Sports Medicine 2019;27(1):34 View
  2. Mattsson S, Olsson E, Carlsson M, Johansson B. Identification of Anxiety and Depression Symptoms in Patients With Cancer: Comparison Between Short and Long Web-Based Questionnaires. Journal of Medical Internet Research 2019;21(4):e11387 View
  3. Liang W, Duan Y, Shang B, Wang Y, Hu C, Lippke S. A web-based lifestyle intervention program for Chinese college students: study protocol and baseline characteristics of a randomized placebo-controlled trial. BMC Public Health 2019;19(1) View
  4. Kuhlmann T, Dantlgraber M, Reips U. Investigating measurement equivalence of visual analogue scales and Likert-type scales in Internet-based personality questionnaires. Behavior Research Methods 2017;49(6):2173 View
  5. Mailhot T, Lavoie P, Maheu-Cadotte M, Fontaine G, Cournoyer A, Côté J, Dupuis F, Karsenti T, Cossette S. Using a Wireless Electroencephalography Device to Evaluate E-Health and E-Learning Interventions. Nursing Research 2018;67(1):43 View
  6. Pan R, Xu T, Bai J, Xia S, Liu Q, Li J, Xiao X, Dong Y. Effect of Lactobacillus plantarum fermented barley on plasma glycolipids and insulin sensitivity in subjects with metabolic syndrome. Journal of Food Biochemistry 2020;44(11) View
  7. Gillies K, Kearney A, Keenan C, Treweek S, Hudson J, Brueton V, Conway T, Hunter A, Murphy L, Carr P, Rait G, Manson P, Aceves-Martins M. Strategies to improve retention in randomised trials. Cochrane Database of Systematic Reviews 2021;2021(4) View
  8. Puente-Fernández D, Jimeno-Ucles R, Mota-Romero E, Roldán C, Froggatt K, Montoya-Juárez R. Cultural Adaptation and Validation of the Quality of Dying in Long-Term Care Scale (QoD-LTC) for Spanish Nursing Homes. International Journal of Environmental Research and Public Health 2021;18(10):5287 View
  9. Rogoda K, Daniszewski P, Florowski K, Mathur R, Amouzgar K, Mackenzie J, Sauvé K, Karnik A. FoodChoices(Q): Exploring the Design of a Serious Game Proxy for Likert-style Survey Questionnaires. Proceedings of the ACM on Human-Computer Interaction 2022;6(CHI PLAY):1 View
  10. Duan Y, Li X, Guo L, Liang W, Shang B, Lippke S. A WeChat Mini Program-Based Intervention for Physical Activity, Fruit and Vegetable Consumption Among Chinese Cardiovascular Patients in Home-Based Rehabilitation: A Study Protocol. Frontiers in Public Health 2022;10 View
  11. IJzerman R, van der Vaart R, Breeman L, van den Broek I, Keesman M, Kraaijenhagen R, Reijnders T, Weerts M, Evers A, Scholte op Reimer W, Janssen V. Brief lifestyle advice in cardiac care: an experimental study on message source and framing. Netherlands Heart Journal 2024;32(1):38 View
  12. Mastwyk S, Taylor N, Lowe A, Dalton C, Peiris C. Metabolic syndrome is prevalent and undiagnosed in clients attending private practice physiotherapy: a cross-sectional study. Physiotherapy 2024;124:116 View