Literature DB >> 25131280

Identifying predictors of survey mode preference.

Jolene D Smyth1, Kristen Olson2, Morgan M Millar3.   

Abstract

To increase the likelihood of response, many survey organizations attempt to provide sample members with a mode they are thought to prefer. Mode assignment is typically based on conventional wisdom or results from mode choice studies that presented only limited options. In this paper we draw heavily on research and theory from the mode effects and the survey participation literatures to develop a framework for understanding what characteristics should predict mode preferences. We then test these characteristics using data from two different surveys. We find that measures of familiarity with and access to a mode are the strongest predictors of mode preference and measures of safety concerns, physical abilities, and normative concerns are unexpectedly weak predictors. Our findings suggest that variables that may exist on sample frames can be used to inform the assignment of "preferred" modes to sample members.
Copyright © 2014 Elsevier Inc. All rights reserved.

Keywords:  Mail survey; Mixed-mode; Mode preference; Telephone survey; Web survey

Mesh:

Year:  2014        PMID: 25131280     DOI: 10.1016/j.ssresearch.2014.06.002

Source DB:  PubMed          Journal:  Soc Sci Res        ISSN: 0049-089X


  6 in total

1.  Use of a Targeted Sequential Mixed Mode Protocol in a Nationally Representative Panel Study.

Authors:  Vicki A Freedman; Katherine A McGonagle; Mick P Couper
Journal:  J Surv Stat Methodol       Date:  2017-07-06

2.  ASK ME!-Routine measurement of patient experience with patient safety in ambulatory care: A mixed-mode survey.

Authors:  Katja Stahl; Oliver Groene
Journal:  PLoS One       Date:  2021-12-01       Impact factor: 3.240

3.  Switching from Telephone to Web-First Mixed-Mode Data Collection: Results from the Transition into Adulthood Supplement to the US Panel Study of Income Dynamics.

Authors:  Narayan Sastry; Katherine A McGonagle
Journal:  J R Stat Soc Ser A Stat Soc       Date:  2022-04-27       Impact factor: 2.175

4.  Utilizing SEER Cancer Registries for Population-Based Cancer Survivor Epidemiologic Studies: A Feasibility Study.

Authors:  Lisa Gallicchio; Joanne W Elena; Sarah Fagan; Marjorie Carter; Ann S Hamilton; Theresa A Hastert; Lisa L Hunter; Jie Li; Charles F Lynch; Joel Milam; Morgan M Millar; Denise Modjeski; Lisa E Paddock; Amanda R Reed; Lisa B Moses; Antoinette M Stroup; Carol Sweeney; Edward J Trapido; Michele M West; Xiao-Cheng Wu; Kathy J Helzlsouer
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2020-07-10       Impact factor: 4.254

5.  Assessing the Effects of Participant Preference and Demographics in the Usage of Web-based Survey Questionnaires by Women Attending Screening Mammography in British Columbia.

Authors:  Rebecca Mlikotic; Brent Parker; Rasika Rajapakshe
Journal:  J Med Internet Res       Date:  2016-03-22       Impact factor: 5.428

6.  An Internet-Based Means of Monitoring Quality of Life in Post-Prostate Radiation Treatment: A Prospective Cohort Study.

Authors:  Brent Parker; Rasika Rajapakshe; Andrew Moldovan; Cynthia Araujo; Juanita Crook
Journal:  JMIR Res Protoc       Date:  2015-09-28
  6 in total

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