Literature DB >> 33716322

The effects of a special sequential mixed-mode design, and reminders, on panellists' participation in a probability-based panel study.

Rolf Becker1.   

Abstract

The sequential mixed-mode strategy has become standard practice in the survey management of longitudinal studies, in order to achieve consistently high response rates. To realise this aim in a cost-efficient way, a first mode is often an online questionnaire, towards which the target persons are pushed, and a second mode is then a telephone interview, offered to those who do not respond to the initial mode. However, the rationale for using the sequential mixed-mode plus "push-to-web" strategy to reduce the burden of choosing between survey modes, in order to maximise survey participation, could be undermined if there is an overlapping field period during which the target persons could choose between two or more offered modes. The use of reminders might be useful in solving this problem of competing risks. In the context of a multiple-panel study, this question was investigated by utilising longitudinal paradata from the fieldwork, as well as procedures of event history analysis that are adequate for the analysis of processes with competing risks. First, for a web survey as the initial mode and computer-assisted telephone interview (CATI) as the subsequent mode, it was found that the idea of a sequential mixed-mode plus "push-to-web" strategy does work even in the case of competing risks in the choice of a survey mode. Second, it was confirmed that reminders are a useful instrument for stimulating panellists to choose the running survey mode. Third, and finally, it was found that this feature of survey management is effective in countering panellists' procrastination in regard to responding to a survey.
© The Author(s) 2021.

Entities:  

Keywords:  CATI; Competing risks; Event history analysis; Push-to-web design; Reminder; Sequential mixed-mode design

Year:  2021        PMID: 33716322      PMCID: PMC7937431          DOI: 10.1007/s11135-021-01126-6

Source DB:  PubMed          Journal:  Qual Quant        ISSN: 0033-5177


  10 in total

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4.  Ignoring competing events in the analysis of survival data may lead to biased results: a nonmathematical illustration of competing risk analysis.

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5.  Cash vs. vouchers vs. gifts in web surveys of a mature panel study--Main effects in a long-term incentives experiment across three panel waves.

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6.  The effect of multiple reminders on response patterns in a Danish health survey.

Authors:  Anne I Christensen; Ola Ekholm; Peter L Kristensen; Finn B Larsen; Anker L Vinding; Charlotte Glümer; Knud Juel
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7.  Applying Cox regression to competing risks.

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8.  The estimation and modelling of cause-specific cumulative incidence functions using time-dependent weights.

Authors:  Paul C Lambert
Journal:  Stata J       Date:  2017-03       Impact factor: 2.637

9.  Mixing modes in a population-based interview survey: comparison of a sequential and a concurrent mixed-mode design for public health research.

Authors:  Elvira Mauz; Elena von der Lippe; Jennifer Allen; Ralph Schilling; Stephan Müters; Jens Hoebel; Patrick Schmich; Matthias Wetzstein; Panagiotis Kamtsiuris; Cornelia Lange
Journal:  Arch Public Health       Date:  2018-01-04

10.  Practical recommendations for reporting Fine-Gray model analyses for competing risk data.

Authors:  Peter C Austin; Jason P Fine
Journal:  Stat Med       Date:  2017-09-15       Impact factor: 2.373

  10 in total

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