OBJECTIVE: To identify any differences in response and completion rates across two versions of a questionnaire, in order to determine the trade-off between a potentially higher response rate (from a short questionnaire) and a greater level of information from each respondent (from a long questionnaire). METHODS: This was a randomised trial to determine whether response rates and/or results differ between questionnaires containing different numbers of choices: a short version capable of estimating main effects only and a longer version capable of estimating two-way interactions, provided certain assumptions hold. Best-worst scaling was the form of discrete choice experimentation used. Data were collected by post and analysed in terms of response rates, completion rates and differences in mean utilities. RESULTS: Fifty-three percent of individuals approached agreed to take part. From these, the response to the long questionnaire was 83.2% and the short questionnaire was 85.1% (difference 1.9%, 95% CI -7.3, 11.2; p = 0.68). The two versions of the questionnaire provided similar inferences. DISCUSSION/ CONCLUSION: This trial indicates that, in a healthcare setting, for this complexity of questionnaire (i.e. four attributes and the best-worst scaling design), the use of 16 scenarios obtained very similar response rates to those obtained using half this number.
OBJECTIVE: To identify any differences in response and completion rates across two versions of a questionnaire, in order to determine the trade-off between a potentially higher response rate (from a short questionnaire) and a greater level of information from each respondent (from a long questionnaire). METHODS: This was a randomised trial to determine whether response rates and/or results differ between questionnaires containing different numbers of choices: a short version capable of estimating main effects only and a longer version capable of estimating two-way interactions, provided certain assumptions hold. Best-worst scaling was the form of discrete choice experimentation used. Data were collected by post and analysed in terms of response rates, completion rates and differences in mean utilities. RESULTS: Fifty-three percent of individuals approached agreed to take part. From these, the response to the long questionnaire was 83.2% and the short questionnaire was 85.1% (difference 1.9%, 95% CI -7.3, 11.2; p = 0.68). The two versions of the questionnaire provided similar inferences. DISCUSSION/ CONCLUSION: This trial indicates that, in a healthcare setting, for this complexity of questionnaire (i.e. four attributes and the best-worst scaling design), the use of 16 scenarios obtained very similar response rates to those obtained using half this number.
Authors: Deborah Marshall; John F P Bridges; Brett Hauber; Ruthanne Cameron; Lauren Donnalley; Ken Fyie; F Reed Johnson Journal: Patient Date: 2010-12-01 Impact factor: 3.883
Authors: Tao Wang; Benson Wong; Alexander Huang; Prateek Khatri; Carly Ng; Melissa Forgie; Joel H Lanphear; Peter J O'Neill Journal: BMC Med Educ Date: 2011-08-25 Impact factor: 2.463
Authors: Kei Long Cheung; Ben F M Wijnen; Ilene L Hollin; Ellen M Janssen; John F Bridges; Silvia M A A Evers; Mickael Hiligsmann Journal: Pharmacoeconomics Date: 2016-12 Impact factor: 4.981
Authors: Debby van Helvoort-Postulart; Trudy van der Weijden; Benedict G C Dellaert; Mascha de Kok; Maarten F von Meyenfeldt; Carmen D Dirksen Journal: Implement Sci Date: 2009-03-01 Impact factor: 7.327