Can we assess representativeness of cross-national surveys using the education variable?

Ortmanns, Verena; Schneider, Silke L.

doi:10.18148/srm/2016.v10i3.6608

Cited by 3 publications

(11 citation statements)

References 15 publications

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“…We believe the main reason for the low response rate was the heavy workload, which did not allow physicians the time to participate. Another indicator for the representativeness of a study is the sampling method [ 43 ]. Our study may have appealed to physicians with a higher average digital affinity than in the target population.…”

Section: Discussionmentioning

confidence: 99%

Smartphone Use and Security Challenges in Hospitals: A Survey among Resident Physicians in Germany

Kraushaar

Bohnet-Joschko

2022

IJERPH

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Although mobile devices support physicians in a variety of ways in everyday clinical practice, the use of (personal) mobile devices poses potential risks for information security, data protection, and patient safety in hospitals. We used a cross-sectional survey-based study design to assess the current state of smartphone use among resident physicians in hospitals and to investigate the relationships between working conditions, current smartphone usage patterns, and security-related behavior. In total, data from 343 participating physicians could be analyzed. A large majority (98.3%) used their smartphones during clinical practice. Of the respondents who used a smartphone during clinical practice, only 4.5% were provided with a smartphone by their employer. Approximately three-quarters of the respondents who used their smartphones for professional communication never/almost never used dedicated GDPR-compliant messenger services. Using a hierarchical regression model, we found a significant effect of the organizational resources Social Support (Supervisor) and Information Security-related Communication on security-related behavior during the selection of medical apps (App Selection). Smartphones are an important part of digital support for physicians in everyday clinical practice. To minimize the risks of use, technical and organizational measures should be taken by the hospital management, resulting, for example, in a Bring-Your-Own-Device (BYOD) initiative.

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Section: Discussionmentioning

confidence: 99%

Smartphone Use and Security Challenges in Hospitals: A Survey among Resident Physicians in Germany

Kraushaar

Bohnet-Joschko

2022

IJERPH

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“…In the most comprehensive study to date, Ortmanns and Schneider (2016a) analysed seven cross-national survey programmes, again looking at the period 2008 to 2012. They included OECD's Programme for the International Assessment of Adult Competencies (PIAAC), EU-SILC, Eurobarometer, ESS, EVS and ISSP, and compared the education distributions for the same countries and years to the respective distribution in the EU-LFS.…”

Section: Introductionmentioning

confidence: 99%

“…Since this study is the basis for this article, we will briefly summarise the main result to illustrate the problem. Ortmanns and Schneider (2016a) found that on average, 13% of respondents would have to change education categories to achieve an equal distribution with the EU-LFS. They also found substantial variation across surveys, ranging from 1% to almost 50%.…”

Section: Introductionmentioning

confidence: 99%

“…However, we cannot be sure that these are the only or most important factors just because they can be observed easily and are reported more often. Ortmanns and Schneider (2016a) identify single cases where they hypothesise that differences in the survey characteristics such as data collection modes, sampling designs, as well as selective unit nonresponse might also explain the inconsistencies because they do not find any problem in the measurement or the assignment of ISCED codes. Those survey characteristics refer to methodological aspects of a survey, and they differ across surveys because they are designed and organised differently, and apply different methodological standards.…”

Section: Introductionmentioning

confidence: 99%

“…Such an analysis is conducted in this study, which analyses the impact of 15 survey characteristics and how they contribute to inconsistent education distributions across surveys within countries and years. As a starting point, we use the results from Ortmanns and Schneider (2016a), comparing the education distributions of six surveys with the EU-LFS for the years 2008 to 2012. We further extend the range of cross-national surveys by adding the Adult Education Survey (AES), the European Quality of Life Survey (EQLS), and the European Working Condition Survey (EWCS).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Explaining Inconsistencies in the Education Distributions of Ten Cross-National Surveys – the Role of Methodological Survey Characteristics

Ortmanns

2020

Journal of Official Statistics

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AbstractSurveys measuring the same concept using the same measure on the same population at the same point in time should result in highly similar results. If this is not the case, this is a strong sign of lacking reliability, resulting in non-comparable data across surveys. Looking at the education variable, previous research has identified inconsistencies in the distributions of harmonised education variables, using the International Standard Classification of Education (ISCED), across surveys within the same countries and years. These inconsistencies are commonly explained by differences in the measurement, especially in the response categories of the education question, and in the harmonisation when classifying country-specific education categories into ISCED. However, other methodological characteristics of surveys, which we regard as ‘containers’ for several characteristics, may also contribute to this finding. We compare the education distributions of nine cross-national surveys with the European Union Labour Force Survey (EU-LFS), which is used as benchmark. This study analyses 15 survey characteristics to better explain the inconsistencies. The results confirm a predominant effect of the measurement instrument and harmonisation. Different sampling designs also explain inconsistencies, but to a lesser degree. Finally, we discuss the results and limitations of the study and provide ideas for improving data comparability.

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Establishing a baseline: bringing innovation to the evaluation of cross-national probability-based online panels

Bottoni

Fitzgerald

2021

Survey Research Methods

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Can we assess representativeness of cross-national surveys using the education variable?

Cited by 3 publications

References 15 publications

Smartphone Use and Security Challenges in Hospitals: A Survey among Resident Physicians in Germany

Smartphone Use and Security Challenges in Hospitals: A Survey among Resident Physicians in Germany

Explaining Inconsistencies in the Education Distributions of Ten Cross-National Surveys – the Role of Methodological Survey Characteristics

Establishing a baseline: bringing innovation to the evaluation of cross-national probability-based online panels

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