Slider bars in multi-device web surveys

Angelica Maineri*, Ivano Bison, Ruud Luijkx

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

27 Downloads (Pure)

Abstract

This study explores some features of slider bars in the context of a multi-device web survey. Using data collected among the students of the University of Trento in 2015 and 2016 by means of two web surveys (N = 6,343 and 4,124) including two experiments, we investigated the effect of the initial position of the handle and the presence of numeric labels on answers provided using slider bars. It emerged that the initial position of the handle affected answers and that the number of rounded scores increased with numeric feedback. Smartphone respondents appeared more sensitive to the initial position of the handle but also less affected by the presence of numeric labels resulting in a lower tendency to rounding. Yet, outcomes on anchoring were inconclusive. Overall, no relevant differences have been detected between tablet and PC respondents. Understanding to what extent interactive and engaging tools such as slider bars can be successfully employed in multi-device surveys without affecting data quality is a key challenge for those who want to exploit the potential of web-based and multi-device data collection without undermining the quality of measurement.
Original languageEnglish
Number of pages19
JournalSocial Science Computer Review
DOIs
Publication statusE-pub ahead of print - 2020

Fingerprint

Labels
Smartphones
data quality
PC
Students
Feedback
experiment
student
Experiments

Keywords

  • COMPUTER
  • DATA QUALITY
  • DESIGN
  • FORMATS
  • MOBILE
  • RADIO BUTTON SCALES
  • RELIABILITY
  • SMARTPHONE
  • VISUAL ANALOG SCALES
  • mobile surveys
  • multi-device surveys
  • slider question
  • sliders
  • survey experiment
  • web surveys

Cite this

@article{da19058b788c4fea860f33cb5d54f2f4,
title = "Slider bars in multi-device web surveys",
abstract = "This study explores some features of slider bars in the context of a multi-device web survey. Using data collected among the students of the University of Trento in 2015 and 2016 by means of two web surveys (N = 6,343 and 4,124) including two experiments, we investigated the effect of the initial position of the handle and the presence of numeric labels on answers provided using slider bars. It emerged that the initial position of the handle affected answers and that the number of rounded scores increased with numeric feedback. Smartphone respondents appeared more sensitive to the initial position of the handle but also less affected by the presence of numeric labels resulting in a lower tendency to rounding. Yet, outcomes on anchoring were inconclusive. Overall, no relevant differences have been detected between tablet and PC respondents. Understanding to what extent interactive and engaging tools such as slider bars can be successfully employed in multi-device surveys without affecting data quality is a key challenge for those who want to exploit the potential of web-based and multi-device data collection without undermining the quality of measurement.",
keywords = "COMPUTER, DATA QUALITY, DESIGN, FORMATS, MOBILE, RADIO BUTTON SCALES, RELIABILITY, SMARTPHONE, VISUAL ANALOG SCALES, mobile surveys, multi-device surveys, slider question, sliders, survey experiment, web surveys",
author = "Angelica Maineri and Ivano Bison and Ruud Luijkx",
year = "2020",
doi = "10.1177/0894439319879132",
language = "English",
journal = "Social Science Computer Review",
issn = "0894-4393",
publisher = "SAGE Publications Inc.",

}

Slider bars in multi-device web surveys. / Maineri, Angelica; Bison, Ivano; Luijkx, Ruud.

In: Social Science Computer Review, 2020.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - Slider bars in multi-device web surveys

AU - Maineri, Angelica

AU - Bison, Ivano

AU - Luijkx, Ruud

PY - 2020

Y1 - 2020

N2 - This study explores some features of slider bars in the context of a multi-device web survey. Using data collected among the students of the University of Trento in 2015 and 2016 by means of two web surveys (N = 6,343 and 4,124) including two experiments, we investigated the effect of the initial position of the handle and the presence of numeric labels on answers provided using slider bars. It emerged that the initial position of the handle affected answers and that the number of rounded scores increased with numeric feedback. Smartphone respondents appeared more sensitive to the initial position of the handle but also less affected by the presence of numeric labels resulting in a lower tendency to rounding. Yet, outcomes on anchoring were inconclusive. Overall, no relevant differences have been detected between tablet and PC respondents. Understanding to what extent interactive and engaging tools such as slider bars can be successfully employed in multi-device surveys without affecting data quality is a key challenge for those who want to exploit the potential of web-based and multi-device data collection without undermining the quality of measurement.

AB - This study explores some features of slider bars in the context of a multi-device web survey. Using data collected among the students of the University of Trento in 2015 and 2016 by means of two web surveys (N = 6,343 and 4,124) including two experiments, we investigated the effect of the initial position of the handle and the presence of numeric labels on answers provided using slider bars. It emerged that the initial position of the handle affected answers and that the number of rounded scores increased with numeric feedback. Smartphone respondents appeared more sensitive to the initial position of the handle but also less affected by the presence of numeric labels resulting in a lower tendency to rounding. Yet, outcomes on anchoring were inconclusive. Overall, no relevant differences have been detected between tablet and PC respondents. Understanding to what extent interactive and engaging tools such as slider bars can be successfully employed in multi-device surveys without affecting data quality is a key challenge for those who want to exploit the potential of web-based and multi-device data collection without undermining the quality of measurement.

KW - COMPUTER

KW - DATA QUALITY

KW - DESIGN

KW - FORMATS

KW - MOBILE

KW - RADIO BUTTON SCALES

KW - RELIABILITY

KW - SMARTPHONE

KW - VISUAL ANALOG SCALES

KW - mobile surveys

KW - multi-device surveys

KW - slider question

KW - sliders

KW - survey experiment

KW - web surveys

U2 - 10.1177/0894439319879132

DO - 10.1177/0894439319879132

M3 - Article

JO - Social Science Computer Review

JF - Social Science Computer Review

SN - 0894-4393

ER -