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Year of publication
Subject
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COVID-19 2 Data quality 2 Interview 2 Item non-response 2 Befragung 1 Causal inference 1 Cross-country comparibilty 1 Daten 1 Datenqualität 1 Difference-in-differences 1 Evaluation 1 Household Finance and Consumption Survey (HFCS) 1 Missing at random 1 Non-pharmaceutical interventions 1 Panel data 1 SOEP 1 SOEP survey 1 Sampling 1 Simulation 1 Statistische Methode 1 Stichprobenerhebung 1 Wealth 1 coronavirus 1 covid-19 1 household surveys 1 interviewers 1 longitudinal data 1 panel survey 1 recall accuracy 1 record linkage 1 retrospective questions 1
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Free 7
Type of publication
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Article 6 Book / Working Paper 3
Type of publication (narrower categories)
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Article 6
Language
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English 7 Undetermined 2
Author
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Grabka, Markus M. 2 Berning, Carl 1 Bünning, Mareike 1 Goodman-Bacon, Andrew 1 Hipp, Lena 1 Korbmacher, Julie M. 1 Kroh, Martin 1 Kühne, Simon 1 Liebig, Stefan 1 Marcus, Jan 1 Munnes, Stefan 1 Sauermann, Armin 1 Schröder, Mathis 1 Shamon, Hawal 1 Tiefensee, Anita 1 Westermeier, Christian 1 Zinn, Sabine 1
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Survey Research Methods 6 Shamon, H., & Berning, C. C. (2020). Attention Check Items and Instructions in Online Surveys with Incentivized and Non-Incentivized Samples: Boon or Bane for Data Quality?. Survey Research Methods, 14(1), 55-77. DOI/10.18148/srm/2020.v14i1.7374 1
Source
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EconStor 6 USB Cologne (EcoSocSci) 2 ECONIS (ZBW) 1
Showing 1 - 9 of 9
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Using Difference-in-Differences to Identify Causal Effects of COVID-19 Policies
Goodman-Bacon, Andrew; Marcus, Jan - In: Survey Research Methods 14 (2020) 2, pp. 153-158
Policymakers have implemented a wide range of non-pharmaceutical interventions to fight the spread of COVID-19. Variation in policies across jurisdictions and over time strongly suggests a difference-in-differences (DD) research design to estimate causal effects of counter-COVID measures. We...
Persistent link: https://www.econbiz.de/10012249024
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The Need for Household Panel Surveys in Times of Crisis: The Case of SOEP-CoV
Kühne, Simon; Kroh, Martin; Liebig, Stefan; Zinn, Sabine - In: Survey Research Methods 14 (2020) 2, pp. 195-203
The spread of the novel coronavirus, SARS-CoV-2, poses major challenges for individuals and societies at large. The question now is how individuals and society are dealing with these challenges, and what health, psychological, social, and economic effects they will have to bear. Meaningful...
Persistent link: https://www.econbiz.de/10012254177
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Attention Check Items and Instructions in Online Surveys with Incentivized and Non-Incentivized Samples : Boon or Bane for Data Quality?
Shamon, Hawal - 2020
In this paper, we examine rates of careless responding and reactions to detection methods (i.e., attention check items and instructions) in an experimental setting based on two different samples. First, we use a quota sample (with monetary incentive), a central data source for internet-based...
Persistent link: https://www.econbiz.de/10012840090
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Problems and pitfalls of retrospective survey questions in COVID-19 studies
Hipp, Lena; Bünning, Mareike; Munnes, Stefan; … - In: Survey Research Methods 14 (2020) 2, pp. 109-1145
This paper examines and discusses the biases and pitfalls of retrospective survey questions that are currently being used in many medical, epidemiological, and sociological studies on the COVID-19 pandemic. By analyzing the consistency of answers to retrospective questions provided by...
Persistent link: https://www.econbiz.de/10012290472
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Longitudinal Wealth Data and Multiple Imputation: An Evaluation Study
Westermeier, Christian; Grabka, Markus M. - In: Survey Research Methods 10 (2016) 3, pp. 237-252
Statistical analysis in surveys is generally facing missing data. In longitudinal studies for some missing values there might be past or future data points available. The question arises how to successfully transform this advantage into improvedimputation strategies. In a simulation study the...
Persistent link: https://www.econbiz.de/10011880050
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Comparing Wealth - Data Quality of the HFCS
Tiefensee, Anita; Grabka, Markus M. - In: Survey Research Methods 10 (2016) 2, pp. 119-142
The Household Finance and Consumption Survey (HFCS) provides information about house-hold wealth (real and financial assets as well as liabilities) from 15 Euro-countries around the year 2010 (first wave). The survey will be the central dataset in this topic in the future. However, several...
Persistent link: https://www.econbiz.de/10011880067
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Consent when Linking Survey Data with Administrative Records: The Role of the Interviewer
Korbmacher, Julie M.; Schröder, Mathis - In: Survey Research Methods 7 (2013) 2, pp. 115-131
Linking survey data with administrative records is becoming more common in the social sciences in recent years. Regulatory frameworks require the respondent's consent to this procedure in most cases. Similar to non-response, non-consent may lead to selective samples and could pose a problem when...
Persistent link: https://www.econbiz.de/10010320806
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2008
Persistent link: https://www.econbiz.de/10004923883
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2008
Persistent link: https://www.econbiz.de/10004923885
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