Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Adrian Hoffmann

Biographic Data

ID4040542
NAMEAdrian Hoffmann
GIVEN NAMESAdrian
FAMILY NAMEHoffmann
SIGNATUREHOFFMANN A
AFFILIATIONSHeinrich Heine University Düsseldorf
ORCID0009-0000-0661-2321
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS9
WORKS AS AUTHOR5
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2018
LATEST PUBLICATION YEAR2024
H-INDEX1
  • Prevalence estimates for Covid-19-related health behaviors based on the cheating detection triangular model

    Open Access•Shu-Hui Hsieh, Pier Francesco Perri et al.•ARTICLE•BMC Public Health•2024

    Our findings strongly support the assumption that the CDTRM successfully controlled for the validity-threatening influence of SDB in a survey on three COVID-19-related health behaviors. Consequently, the CDTRM appears to be a promising technique to increase estimation validity compared to conventional DQ for health-related behaviors, and sensitive attributes in general, for which a strong influence of SDB is to be expected

  • A New Approach to Detecting Cheating in Sensitive Surveys

    Open Access•Julia Meister, Julia Meisters et al.•ARTICLE•Sociological Methods & Research•2024•References: 60

    Indirect questioning techniques such as the randomized response technique aim to control social desirability bias in surveys of sensitive topics. To improve upon previous indirect questioning techniques, we propose the new Cheating Detection Triangular Model. Similar to the Cheating Detection Model, it includes a mechanism for detecting instruction non-adherence, and similar to the Triangular Model, it uses simplified instructions to improve resp…

  • The utility of overclaiming questionnaires depends on the fit between test content and application context

    Open Access•Adrian Hoffmann, Birk Diedenhofen et al.•ARTICLE•Current Psychology•2023

    Overclaiming questionnaires (OCQs) were proposed as a means to counteract social desirability bias by capturing individual differences in participants’ self-enhancement tendencies in self-report assessments. Previous studies that evaluated OCQs reported mixed results. However, fit between the content of an OCQ in terms of its items and the context in which the measure is presented has not been tested systematically. In a mock application study ( …

  • Do they really wash their hands? Prevalence estimates for personal hygiene behaviour during the Covid-19 pandemic based on indirect questions

    Open Access•Laura Mieth, Maike M Mayer et al.•ARTICLE•BMC Public Health•2021

    These results indicate that estimates of the degree of commitment to measures designed to counter the spread of the disease may be significantly inflated by social desirability in direct self-reports. Indirect questioning techniques with higher levels of confidentiality seem helpful in obtaining more realistic estimates of the degree to which people follow the recommended personal hygiene measures. More realistic estimates of compliance can help …

  • Prejudice against Women Leaders

    Open Access•Adrian Hoffmann, Jochen Musch•ARTICLE•Sex Roles•2018•Cited by: 9•References: 9

  • Prejudice against Women Leaders

    Open Access•Adrian Hoffmann, Jochen Musch•ARTICLE•Sex Roles•2018•Cited by: 9•References: 9

  • Prejudice against Women Leaders

    Open Access•Adrian Hoffmann, Jochen Musch•ARTICLE•Sex Roles•2018•Cited by: 9•References: 9

  • Do they really wash their hands? Prevalence estimates for personal hygiene behaviour during the Covid-19 pandemic based on indirect questions

    Open Access•Laura Mieth, Maike M Mayer et al.•ARTICLE•BMC Public Health•2021

    These results indicate that estimates of the degree of commitment to measures designed to counter the spread of the disease may be significantly inflated by social desirability in direct self-reports. Indirect questioning techniques with higher levels of confidentiality seem helpful in obtaining more realistic estimates of the degree to which people follow the recommended personal hygiene measures. More realistic estimates of compliance can help …

  • The utility of overclaiming questionnaires depends on the fit between test content and application context

    Open Access•Adrian Hoffmann, Birk Diedenhofen et al.•ARTICLE•Current Psychology•2023

    Overclaiming questionnaires (OCQs) were proposed as a means to counteract social desirability bias by capturing individual differences in participants’ self-enhancement tendencies in self-report assessments. Previous studies that evaluated OCQs reported mixed results. However, fit between the content of an OCQ in terms of its items and the context in which the measure is presented has not been tested systematically. In a mock application study ( …

  • Prevalence estimates for Covid-19-related health behaviors based on the cheating detection triangular model

    Open Access•Shu-Hui Hsieh, Pier Francesco Perri et al.•ARTICLE•BMC Public Health•2024

    Our findings strongly support the assumption that the CDTRM successfully controlled for the validity-threatening influence of SDB in a survey on three COVID-19-related health behaviors. Consequently, the CDTRM appears to be a promising technique to increase estimation validity compared to conventional DQ for health-related behaviors, and sensitive attributes in general, for which a strong influence of SDB is to be expected

  • A New Approach to Detecting Cheating in Sensitive Surveys

    Open Access•Julia Meister, Julia Meisters et al.•ARTICLE•Sociological Methods & Research•2024•References: 60

    Indirect questioning techniques such as the randomized response technique aim to control social desirability bias in surveys of sensitive topics. To improve upon previous indirect questioning techniques, we propose the new Cheating Detection Triangular Model. Similar to the Cheating Detection Model, it includes a mechanism for detecting instruction non-adherence, and similar to the Triangular Model, it uses simplified instructions to improve resp…

Social Psychology (5 works) · Psychology (4 works) · Social Psychology (3 works) · Survey Sampling and Estimation Techniques (3 works) · Biostatistics (2 works) · Cheating (2 works) · Computer Science (2 works) · Coronavirus disease 2019 (COVID-19 (2 works) · Environmental health (2 works) · Infectious disease (medical specialty (2 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae