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  • 1
    Online Resource
    Online Resource
    Detecting Interviewer Fraud Using Multilevel Models
    Oxford University Press (OUP) ; 2023
    In:  Journal of Survey Statistics and Methodology ( 2023-01-02)
    Details
    In: Journal of Survey Statistics and Methodology, Oxford University Press (OUP), ( 2023-01-02)
    Abstract: Interviewer falsification, such as the complete or partial fabrication of interview data, has been shown to substantially affect the results of survey data. In this study, we apply a method to identify falsifying face-to-face interviewers based on the development of their behavior over the survey field period. We postulate four potential falsifier types: steady low-effort falsifiers, steady high-effort falsifiers, learning falsifiers, and sudden falsifiers. Using large-scale survey data from Germany with verified falsifications, we apply multilevel models with interviewer effects on the intercept, scale, and slope of the interview sequence to test whether falsifiers can be detected based on their dynamic behavior. In addition to identifying a rather high-effort falsifier previously detected by the survey organization, the model flagged two additional suspicious interviewers exhibiting learning behavior, who were subsequently classified as deviant by the survey organization. We additionally apply the analysis approach to publicly available cross-national survey data and find multiple interviewers who show behavior consistent with the postulated falsifier types.
    Type of Medium: Online Resource
    ISSN: 2325-0984 , 2325-0992
    URL: Article
    DOI: 10.1093/jssam/smac036
    RVK:
    MA 1000
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2023
    detail.hit.zdb_id: 2687246-8
    detail.hit.zdb_id: 2721516-7
    SSG: 3,4
    Location Call Number Limitation Availability
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    Online Resource
  • 2
    Online Resource
    Online Resource
    Positive Learning or Deviant Interviewing? Mechanisms of Experience on Interviewer Behavior
    Oxford University Press (OUP) ; 2022
    In:  Journal of Survey Statistics and Methodology Vol. 10, No. 2 ( 2022-04-18), p. 249-275
    Details
    In: Journal of Survey Statistics and Methodology, Oxford University Press (OUP), Vol. 10, No. 2 ( 2022-04-18), p. 249-275
    Abstract: Interviewer (mis)behavior has been shown to change with interviewers’ professional experience (general experience) and experience gained during the field period (survey experience). We extend this study by using both types of experiences to analyze interviewer effects on a core quality indicator: interview duration. To understand whether the effect of interviewer experience on duration is driven by increased efficiency or deviant behavior—both mechanisms of shorter interview durations—we additionally examine the triggering rate of filter questions to avoid burdensome follow-up questions and response differentiation over the field period. Using multilevel models and data from a large-scale survey on a special and difficult-to-interview population of refugees in Germany, we find that interview duration decreases with increasing survey experience, particularly among the generally inexperienced interviewers. However, this effect is not found for the triggering rate and response differentiation. The results are robust to different sample and model specifications. We conclude that the underlying mechanism driving interview duration is related to increasing efficiency, and not deviant behavior.
    Type of Medium: Online Resource
    ISSN: 2325-0984 , 2325-0992
    URL: Article
    DOI: 10.1093/jssam/smab003
    RVK:
    MA 1000
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2022
    detail.hit.zdb_id: 2687246-8
    detail.hit.zdb_id: 2721516-7
    SSG: 3,4
    Location Call Number Limitation Availability
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    Online Resource
  • 3
    Online Resource
    Online Resource
    Ukrainian Refugees in Germany: Evidence From a Large Representative Survey
    German Federal Institute for Population Research ; 2023
    In:  Comparative Population Studies Vol. 48 ( 2023-08-08)
    Details
    In: Comparative Population Studies, German Federal Institute for Population Research, Vol. 48 ( 2023-08-08)
    Abstract: This study describes the first wave of the IAB-BiB/FReDA-BAMF-SOEP Survey on Ukrainian Refugees in Germany, a unique panel dataset based on over 11,000 interviews conducted between August and October 2022. The aim of the IAB-BiB/FReDA-BAMF-SOEP Survey is to provide a data-infrastructure for theory-driven and evidence-based research on various aspects of integration among Ukrainian refugees in Germany, the second most important destination country in the EU after Poland, hosting over a million people who arrived in Germany shortly after the Russian invasion of Ukraine. Based on the survey, this study also provides first insights into demographic, educational, linguistic, occupational, and social characteristics of this population. The analyses revealed that the refugee population comprised mostly young and educated individuals, with a significant proportion of females without partners and female-headed separated families. While German language skills were limited, about half of Ukrainian refugees had attended or were attending language courses. However, the integration process faced significant challenges, as the participation of children in day-care was relatively low, and the self-reported life satisfaction was markedly below the average of the German population. The study highlights the need for targeted policy measures to address such issues. Additionally, policies may aim at harnessing the high potential of the Ukrainian refugees for the German labor market. Given that a substantial proportion would like to stay in Germany permanently, policymakers should take note of these findings and aim to facilitate their long-term integration process to ensure that these refugees may thrive in Germany.
    Type of Medium: Online Resource
    ISSN: 1869-8999 , 1869-8980
    URL: Article
    DOI: 10.12765/CPoS-2023-16
    Language: Unknown
    Publisher: German Federal Institute for Population Research
    Publication Date: 2023
    detail.hit.zdb_id: 2576152-3
    SSG: 3,4
    Location Call Number Limitation Availability
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    Online Resource
  • 4
    Online Resource
    Online Resource
    How to Catch a Falsifier
    Oxford University Press (OUP) ; 2022
    In:  Public Opinion Quarterly Vol. 86, No. 1 ( 2022-03-18), p. 51-81
    Details
    In: Public Opinion Quarterly, Oxford University Press (OUP), Vol. 86, No. 1 ( 2022-03-18), p. 51-81
    Abstract: Deviant interviewer behavior is a potential hazard of interviewer-administered surveys, with interviewers fabricating entire interviews as the most severe form. Various statistical methods (e.g., cluster analysis) have been proposed to detect falsifiers. These methods often rely on falsification indicators aiming to measure differences between real and falsified data. However, due to a lack of real-world data, empirical evaluations and comparisons of different statistical methods and falsification indicators are scarce. Using a large-scale nationally representative refugee survey in Germany with known fraudulent interviews, this study tests, evaluates, and compares statistical methods for identifying falsified data. We investigate the use of new and existing falsification indicators as well as multivariate detection methods for combining them. Additionally, we introduce a new and easy-to-use multivariate detection method that overcomes practical limitations of previous methods. We find that the vast majority of used falsification indicators successfully measure differences between falsifiers and nonfalsifiers, with the newly proposed falsification indicators outperforming some existing indicators. Furthermore, different multivariate detection methods perform similarly well in detecting the falsifiers.
    Type of Medium: Online Resource
    ISSN: 0033-362X , 1537-5331
    URL: Article
    DOI: 10.1093/poq/nfab066
    RVK:
    AP 10100
    RVK:
    AP 10824
    RVK:
    MN 1000
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2022
    detail.hit.zdb_id: 2009642-2
    detail.hit.zdb_id: 209546-4
    SSG: 3,4
    SSG: 3,5
    SSG: 3,6
    Location Call Number Limitation Availability
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    Online Resource
  • 5
    Online Resource
    Online Resource
    Field-crossing social capital and patronage as cornerstones of the transnational OECD-PISA network infrastructure
    Informa UK Limited ; 2023
    In:  Comparative Education
    Details
    In: Comparative Education, Informa UK Limited
    Type of Medium: Online Resource
    ISSN: 0305-0068 , 1360-0486
    URL: Article
    DOI: 10.1080/03050068.2023.2173916
    Language: English
    Publisher: Informa UK Limited
    Publication Date: 2023
    detail.hit.zdb_id: 2018229-6
    SSG: 5,3
    Location Call Number Limitation Availability
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