Mobile Web Surveys

Couper, Mick P.; Antoun, Christopher; Mavletova, Aigul

doi:10.1002/9781119041702.ch7

Cited by 81 publications

(53 citation statements)

References 22 publications

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“…However, this limitation is common in MTMM studies [62]. It must also be taken into account that all respondents answered the questionnaire in the computer room, and results using smaller screens may make a difference [25,63,64], thus highlighting the importance of a responsive questionnaire design [65].…”

Section: Discussionmentioning

confidence: 99%

A Comparative Assessment of Graphic and 0–10 Rating Scales Used to Measure Entrepreneurial Competences

Vall-llosera

Linares‐Mustarós

Bikfalvi

et al. 2020

Axioms

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This article presents an empirical comparative assessment of the measurement quality of two instruments commonly used to measure fuzzy characteristics in computer-assisted questionnaires: a graphic scale (a line production scale using a slider bar) and an endecanary scale (a 0–10 rating scale using radio buttons). Data are analyzed by means of multitrait–multimethod models estimated as structural equation models with a mean and covariance structure. For the first time in such research, the results include bias, valid variance, method variance, and random error variance. The data are taken from a program that assesses entrepreneurial competences in undergraduate Economics and Business students by means of questionnaires administered on desktop computers. Neither of the measurement instruments was found to be biased with respect to the other, meaning that their scores are comparable. While both instruments achieve valid and reliable measurements, the reliability and validity are higher for the endecanary scale. This study contributes to the still scarce literature on fuzzy measurement instruments and on the comparability and relative merits of graphic and discrete rating scales on computer-assisted questionnaires.

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Section: Discussionmentioning

confidence: 99%

A Comparative Assessment of Graphic and 0–10 Rating Scales Used to Measure Entrepreneurial Competences

Vall-llosera

Linares‐Mustarós

Bikfalvi

et al. 2020

Axioms

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“…The analysis of the consequences on data quality of the (unintended) mobile access to online surveys surely constitutes one of the major challenges for survey methodologists nowadays. For an extensive review on mobile web surveys, see Couper, Antoun, and Mavletova (2017).…”

Section: Device Effectsmentioning

confidence: 99%

Slider Bars in Multi-Device Web Surveys

Maineri

Bison

Luijkx

2019

Social Science Computer Review

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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.

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“…In mobilen Befragungen existieren verschiedene Formen des Unit-und Item-Nonresponse Errors (Engel/Schmidt, Kapitel 27 in diesem Band). So sind die Verweigerungsquoten von Befragten, die auf Mobilgeräten antworten, vergleichsweise höher, wofür es drei mögliche Ursachen gibt (Couper et al 2017):…”

Section: Nonresponseunclassified

Mobile Befragungen

Weiß¹,

Silber²,

Struminskaya³

et al. 2019

Handbuch Methoden Der Empirischen Sozialforschung

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Mobile Web Surveys

Cited by 81 publications

References 22 publications

A Comparative Assessment of Graphic and 0–10 Rating Scales Used to Measure Entrepreneurial Competences

A Comparative Assessment of Graphic and 0–10 Rating Scales Used to Measure Entrepreneurial Competences

Slider Bars in Multi-Device Web Surveys

Mobile Befragungen

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