Mixed-Mode and Mixed-Device Surveys

Leeuw, E.D. De; Toepoel, Vera

doi:10.1007/978-3-319-54395-6_8

Cited by 19 publications

(24 citation statements)

References 9 publications

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“…Surveys and experiments should generally be designed for the users of various devices, e.g., smartphones, tablets, etc., with a so-called "responsive layout" (de Leeuw & Toepoel, 2018). Such device representation ensures that more people can access the study (e.g., many populations in Africa or Asia have better access to a smartphone than a workstation computer; Toepoel & Lugtig, 2015) and view the material in a sensible format.…”

Section: By Using Multi Device (Responsive) Layoutsmentioning

confidence: 99%

“…Such device representation ensures that more people can access the study (e.g., many populations in Africa or Asia have better access to a smartphone than a workstation computer; Toepoel & Lugtig, 2015) and view the material in a sensible format. Having to scroll too much might spur frustration that leads people to drop out, especially when having to scroll horizontally (de Leeuw et al, 2018).…”

Section: By Using Multi Device (Responsive) Layoutsmentioning

confidence: 99%

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Conducting organizational survey and experimental research online: From convenient to ambitious in study designs, recruiting, and data quality

Quaquebeke

Salem²,

Dijke

et al. 2022

Organizational Psychology Review

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Conducting organizational research via online surveys and experiments offers a host of advantages over traditional forms of data collection when it comes to sampling for more advanced study designs, while also ensuring data quality. To draw attention to these advantages and encourage researchers to fully leverage them, the present paper is structured into two parts. First, along a structure of commonly used research designs, we showcase select organizational psychology (OP) and organizational behavior (OB) research and explain how the Internet makes it feasible to conduct research not only with larger and more representative samples, but also with more complex research designs than circumstances usually allow in offline settings. Subsequently, because online data collections often also come with some data quality concerns, in the second section, we synthesize the methodological literature to outline three improvement areas and several accompanying strategies for bolstering data quality. Plain Language Summary: These days, many theories from the fields of organizational psychology and organizational behavior are tested online simply because it is easier. The point of this paper is to illustrate the unique advantages of the Internet beyond mere convenience—specifically, how the related technologies offer more than simply the ability to mirror offline studies. Accordingly, our paper first guides readers through examples of more ambitious online survey and experimental research designs within the organizational domain. Second, we address the potential data quality drawbacks of these approaches by outlining three concrete areas of improvement. Each comes with specific recommendations that can ensure higher data quality when conducting organizational survey or experimental research online.

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Section: By Using Multi Device (Responsive) Layoutsmentioning

confidence: 99%

Section: By Using Multi Device (Responsive) Layoutsmentioning

confidence: 99%

Conducting organizational survey and experimental research online: From convenient to ambitious in study designs, recruiting, and data quality

Quaquebeke

Salem²,

Dijke

et al. 2022

Organizational Psychology Review

View full text Add to dashboard Cite

show abstract

“…5 Dvěma hlavními problémy jsou poměrně nízká návratnost (literatura uvádí, že ve srovnání s tradičními módy může být návratnost nižší o 11 až 13 % [Couper 2017, s. 131;Tourangeau 2017, s. 119]) a nedostatečné pokrytí obecné populace, vč. chybějící opory výběru respondentů 6 (Callegaro et al 2015;Couper 2017;de Leeuw a Toepoel 2018;. CAWI se také zdá být obzvláště náchylné k různým druhům tzv.…”

Section: Dotazování Online Jako Element Smíšeného Móduunclassified

Smíšený mód a online dotazování: mezinárodní praxe a tuzemská připravenost na implementaci

Hubatková¹,

Lakomý²

2021

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The cost of interviewer-administered data collection (CAPI, CATI) has been gradually rising, while response rates have been declining over time. This situation has led to the domination of online data collection (CAWI), which tends to suffer from poor population coverage and even lower response rates. This could be overcome by combining this method with another mode of data collection. This paper aims to summarise the main principles of mixed-mode design, its implementation in major international surveys, and the first results of a project testing the feasibility of the push-to-web mixed-mode design in the Czech context. The results illustrate that together, unequal distribution of technological skills and willingness to participate distort the recruitment of random samples for CAWI towards middle-aged and more educated respondents. The mixed-mode design – together with the described components – has the potential to better involve underrepresented groups, while it is essential to follow the rules for achieving comparable answers across modes and devices. Finally, we emphasize the need to disseminate findings to researchers and other users of survey data, as the use of mixed-mode design has been rapidly increasing.

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“…For example, it is shown that level of studies, cohabitation situation and economic activity have a decisive influence on the decision to respond online. Thus, through knowing the preferences of specific profiles for particular modes, and by combining modes, it is possible to increase survey response rate, access to certain profiles and, consequently, achieve greater sample representativeness (among others, De Leeuw and Elevent, 2020; Díaz de Rada et al , 2019).…”

Section: Conclusion and Implications For Market Researchmentioning

confidence: 99%

“…1. At the time of writing another advantage of these modes, hopefully temporary, should be mentioned: that is, the “fear of speaking in person” with strangers owing to COVID-19 (De Leeuw and Elevent, 2020); this fear significantly limits the use of the face-to-face survey.…”

Section: Notesmentioning

confidence: 99%

Combining sources of information to increase survey response rates

Guinalíu

Igúzquiza

2020

SJME

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Purpose The purpose of this paper is to show that mixed methods applied sequentially provide sufficient knowledge of topics under study. Design/methodology/approach This paper conducted an analysis of a real case using descriptive statistical and regression techniques. Findings The present study proposes the use of the so-called “sequential mixed-modes” in survey-based market research. This technique is based on the successive application of different information collection techniques (face-to-face, telephone and internet-based surveys); it offers four fundamental advantages: increased coverage rate; higher response rate; lower costs; and greater cooperation. Research limitations/implications In addition to the normal limitations associated with conclusions derived from case studies, the data collection was carried out in only one autonomous community (Spain) and focussed only on one theme. Practical implications Firstly, it was found that data collection through mixed sequential modes substantially increases response rates in online surveys. This is particularly important as, in recent years, data collection through the internet has become almost standard market research practice. Secondly, the sample that resulted from the joint use of the three data collection modes more accurately reflected the distinctive features of the universe under study. A third recommendation is that the use of internet-based self-administered surveys is especially promising with individuals with a higher level of education and among students. Originality/value The decrease in the response rate is one of the greatest challenges of survey-based market research, given its impact on sample representativeness. This paper addresses this problem and exposes the advantages of the sequential use of mixed modes in the collection of information.

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Mixed-Mode and Mixed-Device Surveys

Cited by 19 publications

References 9 publications

Conducting organizational survey and experimental research online: From convenient to ambitious in study designs, recruiting, and data quality

Conducting organizational survey and experimental research online: From convenient to ambitious in study designs, recruiting, and data quality

Smíšený mód a online dotazování: mezinárodní praxe a tuzemská připravenost na implementaci

Combining sources of information to increase survey response rates

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