Pub Date : 2020-06-02DOI: 10.18148/SRM/2020.V14I2.7766
D. Lillard
We describe a research initiative that will explore the economic and social effects not of the COVID-19 itself but of the policies and information environment that COVID-19 spawned. We will exploit the substantial intra and inter-country temporal and geographic variation in non- pharmacological intervention policies induced by the COVID-19 disease. We will use data from ongoing household-based panel studies from 10 countries and rich administrative data from an eleventh. Six of the ten household panels have already fielded or will shortly field COVID-related questions to their main samples. A seventh, the PSID, has fielded questions to samples of the Child Development Supplement and Transition into Adulthood Supplement. The PSID and the other three panels will include COVID related questions in their next regular survey. All of them will be completed in 2021.
{"title":"A Cross-National Design to Estimate Effects of COVID-Induced Non-Pharmacological Interventions","authors":"D. Lillard","doi":"10.18148/SRM/2020.V14I2.7766","DOIUrl":"https://doi.org/10.18148/SRM/2020.V14I2.7766","url":null,"abstract":"We describe a research initiative that will explore the economic and social effects not of the COVID-19 itself but of the policies and information environment that COVID-19 spawned. We will exploit the substantial intra and inter-country temporal and geographic variation in non- pharmacological intervention policies induced by the COVID-19 disease. We will use data from ongoing household-based panel studies from 10 countries and rich administrative data from an eleventh. Six of the ten household panels have already fielded or will shortly field COVID-related questions to their main samples. A seventh, the PSID, has fielded questions to samples of the Child Development Supplement and Transition into Adulthood Supplement. The PSID and the other three panels will include COVID related questions in their next regular survey. All of them will be completed in 2021.","PeriodicalId":46454,"journal":{"name":"Survey Research Methods","volume":"14 1","pages":"211-216"},"PeriodicalIF":4.8,"publicationDate":"2020-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45221172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-06-02DOI: 10.18148/SRM/2020.V14I2.7761
F. Kreuter, Neta Barkay, A. Bilinski, Adrianne Bradford, Samantha Chiu, Roee Eliat, Junchuan Fan, Tal Galili, Daniel Haimovich, Brian J Kim, Sarah Larocca, Yao Li, Katherine A. Morris, S. Presser, T. Sarig, J. Salomon, K. Stewart, E. Stuart, R. Tibshirani
This paper describes a partnership between Facebook and academic institutions to create a global COVID-19 symptom survey. The survey is available in 56 languages. A representative sample of Facebook users is invited on a daily basis to report on symptoms, social distancing behavior, mental health issues, and financial constraints. Facebook provides weights to reduce nonresponse and coverage bias. Privacy protection and disclosureavoidance mechanisms are implemented by both partners to meet global policy and industry requirements. Country and region-level statistics are published daily via dashboards, and microdata are available for researchers via data use agreements. Over 1 million responses are collected weekly.
{"title":"Partnering with a global platform to inform research and public policy making","authors":"F. Kreuter, Neta Barkay, A. Bilinski, Adrianne Bradford, Samantha Chiu, Roee Eliat, Junchuan Fan, Tal Galili, Daniel Haimovich, Brian J Kim, Sarah Larocca, Yao Li, Katherine A. Morris, S. Presser, T. Sarig, J. Salomon, K. Stewart, E. Stuart, R. Tibshirani","doi":"10.18148/SRM/2020.V14I2.7761","DOIUrl":"https://doi.org/10.18148/SRM/2020.V14I2.7761","url":null,"abstract":"This paper describes a partnership between Facebook and academic institutions to create a global COVID-19 symptom survey. The survey is available in 56 languages. A representative sample of Facebook users is invited on a daily basis to report on symptoms, social distancing behavior, mental health issues, and financial constraints. Facebook provides weights to reduce nonresponse and coverage bias. Privacy protection and disclosureavoidance mechanisms are implemented by both partners to meet global policy and industry requirements. Country and region-level statistics are published daily via dashboards, and microdata are available for researchers via data use agreements. Over 1 million responses are collected weekly.","PeriodicalId":46454,"journal":{"name":"Survey Research Methods","volume":"14 1","pages":"159-163"},"PeriodicalIF":4.8,"publicationDate":"2020-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49065721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-06-02DOI: 10.18148/SRM/2020.V14I2.7751
Ines Schaurer, Bernd Weiss
The coronavirus SARS-CoV-2 outbreak has stimulated numerous online surveys that are mainly based on online convenience samples or commercial online access panels where par-ticipants select themselves. The results are, nevertheless, often generalized to the general pop-ulation. In our paper we investigate the potential bias that is introduced by respondents’ self-selection. The analysis is based on survey data of the “GESIS Panel Special Survey on the Coronavirus SARS-CoV-2 Outbreak in Germany”, together with background information of the GESIS Panel. Our analyses show indication of a nonignorable amount of selection bias for measures of personality traits among online survey respondents. This provides some evidence that participating in an online survey and complying with measures that can minimize the risk of being infected with the SARS-CoV-2 virus are confounded. Hence, generalizing these results to the general population bears the risk of over-or underestimating the share of the population that complies with specific measures.
{"title":"Investigating selection bias of online surveys on coronavirus-related behavioral outcomes","authors":"Ines Schaurer, Bernd Weiss","doi":"10.18148/SRM/2020.V14I2.7751","DOIUrl":"https://doi.org/10.18148/SRM/2020.V14I2.7751","url":null,"abstract":"The coronavirus SARS-CoV-2 outbreak has stimulated numerous online surveys that are mainly based on online convenience samples or commercial online access panels where par-ticipants select themselves. The results are, nevertheless, often generalized to the general pop-ulation. In our paper we investigate the potential bias that is introduced by respondents’ self-selection. The analysis is based on survey data of the “GESIS Panel Special Survey on the Coronavirus SARS-CoV-2 Outbreak in Germany”, together with background information of the GESIS Panel. Our analyses show indication of a nonignorable amount of selection bias for measures of personality traits among online survey respondents. This provides some evidence that participating in an online survey and complying with measures that can minimize the risk of being infected with the SARS-CoV-2 virus are confounded. Hence, generalizing these results to the general population bears the risk of over-or underestimating the share of the population that complies with specific measures.","PeriodicalId":46454,"journal":{"name":"Survey Research Methods","volume":"14 1","pages":"103-108"},"PeriodicalIF":4.8,"publicationDate":"2020-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46261675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-06-02DOI: 10.18148/SRM/2020.V14I2.7738
A. Scherpenzeel, Kathrin Axt, M. Bergmann, S. Douhou, Andrea Oepen, Gregor Sand, Karin Schuller, Stephanie Stuck, M. Wagner, A. Börsch-Supan
While the COVID-19 crisis resulted in a vast number of new research projects springing up like mushrooms everywhere, it had severe consequences for ongoing survey research and in particular for running data collections. The Survey of Health, Ageing and Retirement in Europe (SHARE) was hit by the virus in the middle of its Wave 8 data collection, which had to be suspended in all 28 participating countries. Responding to the evolving crisis situation and taking steps to resume fieldwork was especially challenging for SHARE, since (1) the 50+ population is more severely affected by COVID-19 than younger age groups and (2) the measures taken by governments in response to the outbreak differed across the countries. Against this background, we discuss possible solutions for adaptations regarding the mode of data collection, questionnaire content, sample design, and actual fieldwork.
{"title":"Collecting survey data among the 50+ population during the COVID-19 outbreak: The Survey of Health, Ageing and Retirement in Europe (SHARE)","authors":"A. Scherpenzeel, Kathrin Axt, M. Bergmann, S. Douhou, Andrea Oepen, Gregor Sand, Karin Schuller, Stephanie Stuck, M. Wagner, A. Börsch-Supan","doi":"10.18148/SRM/2020.V14I2.7738","DOIUrl":"https://doi.org/10.18148/SRM/2020.V14I2.7738","url":null,"abstract":"While the COVID-19 crisis resulted in a vast number of new research projects springing up like mushrooms everywhere, it had severe consequences for ongoing survey research and in particular for running data collections. The Survey of Health, Ageing and Retirement in Europe (SHARE) was hit by the virus in the middle of its Wave 8 data collection, which had to be suspended in all 28 participating countries. Responding to the evolving crisis situation and taking steps to resume fieldwork was especially challenging for SHARE, since (1) the 50+ population is more severely affected by COVID-19 than younger age groups and (2) the measures taken by governments in response to the outbreak differed across the countries. Against this background, we discuss possible solutions for adaptations regarding the mode of data collection, questionnaire content, sample design, and actual fieldwork.","PeriodicalId":46454,"journal":{"name":"Survey Research Methods","volume":"14 1","pages":"217-221"},"PeriodicalIF":4.8,"publicationDate":"2020-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49288961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-06-02DOI: 10.18148/SRM/2020.V14I2.7740
Tobias Gummer, C. Schmiedeberg, M. Bujard, Pablo Christmann, K. Hank, Tanja Kunz, Detlev Lueck, Franz J. Neyer
The worldwide spread of the COVID-19 pandemic has disrupted the fieldwork of surveys. The data collection efforts via the face-to-face mode have been affected especially, including the ongoing surveys that were in the field during the COVID-19 outbreak and the planned surveys scheduled for fieldwork later in 2020. We provide an account of how COVID-19 has impacted two family studies in Germany: “The German Family Panel” (pairfam) and the “Generations and Gender Survey” (GGS) both of which will be part of the “Family Research and Demographic Analysis” (FReDA) infrastructure. Based on pairfam, we illustrate the effects of the pandemic on ongoing data collection and the measures taken to proceed with fieldwork, and we report on a special COVID-19 survey. Based on FReDA-GGS, we outline how COVID-19 has affected our planned survey schedules, what future challenges are expected when fieldwork becomes possible again, and how we have adapted our plans accordingly.
{"title":"The impact of COVID-19 on fieldwork efforts and planning in pairfam and FReDA-GGS","authors":"Tobias Gummer, C. Schmiedeberg, M. Bujard, Pablo Christmann, K. Hank, Tanja Kunz, Detlev Lueck, Franz J. Neyer","doi":"10.18148/SRM/2020.V14I2.7740","DOIUrl":"https://doi.org/10.18148/SRM/2020.V14I2.7740","url":null,"abstract":"The worldwide spread of the COVID-19 pandemic has disrupted the fieldwork of surveys. The data collection efforts via the face-to-face mode have been affected especially, including the ongoing surveys that were in the field during the COVID-19 outbreak and the planned surveys scheduled for fieldwork later in 2020. We provide an account of how COVID-19 has impacted two family studies in Germany: “The German Family Panel” (pairfam) and the “Generations and Gender Survey” (GGS) both of which will be part of the “Family Research and Demographic Analysis” (FReDA) infrastructure. Based on pairfam, we illustrate the effects of the pandemic on ongoing data collection and the measures taken to proceed with fieldwork, and we report on a special COVID-19 survey. Based on FReDA-GGS, we outline how COVID-19 has affected our planned survey schedules, what future challenges are expected when fieldwork becomes possible again, and how we have adapted our plans accordingly.","PeriodicalId":46454,"journal":{"name":"Survey Research Methods","volume":"14 1","pages":"223-227"},"PeriodicalIF":4.8,"publicationDate":"2020-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41718894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-06-02DOI: 10.18148/SRM/2020.V14I2.7737
A. Kapteyn, M. Angrisani, Daniel Bennett, W. Bruin, J. Darling, Tania Gutsche, Y. Liu, Erik Meijer, F. Perez-Arce, Simone Schaner, Kyla Thomas, B. Weerman
Since March 10, 2020, we have been tracking effects of the COVID-19 pandemic on respondents to the nationally representative Understanding America Study (UAS). After an initial survey that covered March 10–31, 2020, we launched tracking surveys every two weeks. Every day, about 500 respondents are invited to take the survey for a total of about 7,000 respondents over a two-week period. Results are shared in a variety of ways. About 3,000 graphs are updated every night, with the corresponding tab-delimited text files available for download. The underlying micro-data are available for registered researchers after the end of each four-week field period. The paper describes the set-up of the tracking survey, lists the main topics covered and highlights a number or early results. Our ambition is to keep tracking the experiences of U.S. households for as along as the pandemic lasts.
{"title":"Tracking the Effect of the COVID-19 Pandemic on the Lives of American Households","authors":"A. Kapteyn, M. Angrisani, Daniel Bennett, W. Bruin, J. Darling, Tania Gutsche, Y. Liu, Erik Meijer, F. Perez-Arce, Simone Schaner, Kyla Thomas, B. Weerman","doi":"10.18148/SRM/2020.V14I2.7737","DOIUrl":"https://doi.org/10.18148/SRM/2020.V14I2.7737","url":null,"abstract":"Since March 10, 2020, we have been tracking effects of the COVID-19 pandemic on respondents to the nationally representative Understanding America Study (UAS). After an initial survey that covered March 10–31, 2020, we launched tracking surveys every two weeks. Every day, about 500 respondents are invited to take the survey for a total of about 7,000 respondents over a two-week period. \u0000Results are shared in a variety of ways. About 3,000 graphs are updated every night, with the corresponding tab-delimited text files available for download. The underlying micro-data are available for registered researchers after the end of each four-week field period. The paper describes the set-up of the tracking survey, lists the main topics covered and highlights a number or early results. Our ambition is to keep tracking the experiences of U.S. households for as along as the pandemic lasts.","PeriodicalId":46454,"journal":{"name":"Survey Research Methods","volume":"14 1","pages":"179-186"},"PeriodicalIF":4.8,"publicationDate":"2020-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42288675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-06-02DOI: 10.18148/SRM/2020.V14I2.7743
J. Sakshaug, Jonas Beste, M. Çoban, Tanja Fendel, G. Haas, Sebastian Hülle, Yuliya Kosyakova, Corinna König, F. Kreuter, Benjamin Küfner, Bettina Müller, Christopher Osiander, Silvia Schwanhäuser, G. Stephan, E. Vallizadeh, Marieke Volkert, Claudia Wenzig, C. Westermeier, Cordula Zabel, Stefan Zins
The COVID-19 pandemic and associated government lockdown restrictions have fueled a high demand for survey data on how individuals and establishments are coping with the restrictions. However, the pandemic has also dramatically affected surveys themselves, forcing research institutes to adapt their fieldwork operations to the uncertain and evolving conditions. This paper documents the specific impacts of the pandemic on several ongoing surveys at the Institute for Employment Research in Germany, and describes how these impacts have been addressed. In addition, this paper summarizes efforts to rapidly develop new Covid-19 surveys to help meet the increasing demand for timely data about the effects of the Corona-Crisis on the labor market.
{"title":"Impacts of the COVID-19 pandemic on labor market surveys at the German institute for employment research","authors":"J. Sakshaug, Jonas Beste, M. Çoban, Tanja Fendel, G. Haas, Sebastian Hülle, Yuliya Kosyakova, Corinna König, F. Kreuter, Benjamin Küfner, Bettina Müller, Christopher Osiander, Silvia Schwanhäuser, G. Stephan, E. Vallizadeh, Marieke Volkert, Claudia Wenzig, C. Westermeier, Cordula Zabel, Stefan Zins","doi":"10.18148/SRM/2020.V14I2.7743","DOIUrl":"https://doi.org/10.18148/SRM/2020.V14I2.7743","url":null,"abstract":"The COVID-19 pandemic and associated government lockdown restrictions have fueled a high demand for survey data on how individuals and establishments are coping with the restrictions. However, the pandemic has also dramatically affected surveys themselves, forcing research institutes to adapt their fieldwork operations to the uncertain and evolving conditions. This paper documents the specific impacts of the pandemic on several ongoing surveys at the Institute for Employment Research in Germany, and describes how these impacts have been addressed. In addition, this paper summarizes efforts to rapidly develop new Covid-19 surveys to help meet the increasing demand for timely data about the effects of the Corona-Crisis on the labor market.","PeriodicalId":46454,"journal":{"name":"Survey Research Methods","volume":"14 1","pages":"229-233"},"PeriodicalIF":4.8,"publicationDate":"2020-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48110011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-06-02DOI: 10.18148/SRM/2020.V14I2.7735
A. Blom, Carina Cornesse, Sabine Friedel, Ulrich Krieger, Marina Fikel, Tobias Rettig, Alexander Wenz, Sebastian Juhl, R. Lehrer, K. Möhring, Elias Naumann, Maximiliane Reifenscheid
The outbreak of the COVID-19 pandemic has a massive impact on society. To curb the spread of the SARS-CoV-2 virus, unprecedented containment measures are being taken by governments around the world. These measures and the fear of the disease itself are likely affecting the economy, social inequality, mental and physical health, and even people’s perception of good democratic governance. Equally unprecedented is the speed at which these massive changes take place and the lack of statistical evidence that accompanies them. Within days of the first containment measures in Germany, the German Internet Panel (GIP) launched the Mannheim Corona Study (MCS), a daily rotating panel study of the general adult population of approximately 3,600 respondents. Its data and reports now inform the crisis cabinet of the German government and are the basis for groundbreaking social and economic research. This paper gives insights into the MCS methodology and data quality.
{"title":"High-Frequency and High-Quality Survey Data Collection: The Mannheim Corona Study","authors":"A. Blom, Carina Cornesse, Sabine Friedel, Ulrich Krieger, Marina Fikel, Tobias Rettig, Alexander Wenz, Sebastian Juhl, R. Lehrer, K. Möhring, Elias Naumann, Maximiliane Reifenscheid","doi":"10.18148/SRM/2020.V14I2.7735","DOIUrl":"https://doi.org/10.18148/SRM/2020.V14I2.7735","url":null,"abstract":"The outbreak of the COVID-19 pandemic has a massive impact on society. To curb the spread of the SARS-CoV-2 virus, unprecedented containment measures are being taken by governments around the world. These measures and the fear of the disease itself are likely affecting the economy, social inequality, mental and physical health, and even people’s perception of good democratic governance. Equally unprecedented is the speed at which these massive changes take place and the lack of statistical evidence that accompanies them. Within days of the first containment measures in Germany, the German Internet Panel (GIP) launched the Mannheim Corona Study (MCS), a daily rotating panel study of the general adult population of approximately 3,600 respondents. Its data and reports now inform the crisis cabinet of the German government and are the basis for groundbreaking social and economic research. This paper gives insights into the MCS methodology and data quality.","PeriodicalId":46454,"journal":{"name":"Survey Research Methods","volume":"14 1","pages":"171-178"},"PeriodicalIF":4.8,"publicationDate":"2020-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44289525","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-06-02DOI: 10.18148/SRM/2020.V14I2.7742
D. Silva, Camila Mont’Alverne
As the Corona-Crisis unfolds, scholars around the world realize that the social contexts in which its transmission occurs deserve special attention. In this context, one of the main concepts social scientists should consider to help tackling this crisis is vulnerability. This paper proposes a methodology to study vulnerable populations during the COVID-19 pandemic in the city of Curitiba, one of the main Brazilian metropolises. The proposed methodology encompasses three different strategies, in a mixed-methods approach: i. In-depth telephone interviews with vulnerable people and community leaders who work with them; ii. Online surveys with the city’s general population; iii. Focus groups coupled with alternative scenarios methods involving key actors in the community life of the city. In addition to the research findings themselves, our methodology also envisages fostering initiatives by public authorities and civil society to mitigate the effects of the pandemic over vulnerable populations.
{"title":"Identifying impacts of COVID-19 pandemic on vulnerable populations:","authors":"D. Silva, Camila Mont’Alverne","doi":"10.18148/SRM/2020.V14I2.7742","DOIUrl":"https://doi.org/10.18148/SRM/2020.V14I2.7742","url":null,"abstract":"As the Corona-Crisis unfolds, scholars around the world realize that the social contexts in which its transmission occurs deserve special attention. In this context, one of the main concepts social scientists should consider to help tackling this crisis is vulnerability. This paper proposes a methodology to study vulnerable populations during the COVID-19 pandemic in the city of Curitiba, one of the main Brazilian metropolises. The proposed methodology encompasses three different strategies, in a mixed-methods approach: i. In-depth telephone interviews with vulnerable people and community leaders who work with them; ii. Online surveys with the city’s general population; iii. Focus groups coupled with alternative scenarios methods involving key actors in the community life of the city. In addition to the research findings themselves, our methodology also envisages fostering initiatives by public authorities and civil society to mitigate the effects of the pandemic over vulnerable populations.","PeriodicalId":46454,"journal":{"name":"Survey Research Methods","volume":"14 1","pages":"141-145"},"PeriodicalIF":4.8,"publicationDate":"2020-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47574398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-06-02DOI: 10.18148/SRM/2020.V14I2.7746
Jonathan Burton, Peter Lynn, M. Benzeval
Understanding Society is a household panel survey with continuous fieldwork (monthly sam-ples) using a mixed mode design. Prior to March 2020, around half of all interviews were carried out face-to-face, amounting to around 1,150 interviews per month. This article outlines how the survey rapidly transitioned to a protocol without face-to-face interviews and presents some initial indicators of the impact of the change on field outcomes.
{"title":"How Understanding Society: The UK Household longitudinal study adapted to the COVID-19 pandemic","authors":"Jonathan Burton, Peter Lynn, M. Benzeval","doi":"10.18148/SRM/2020.V14I2.7746","DOIUrl":"https://doi.org/10.18148/SRM/2020.V14I2.7746","url":null,"abstract":"Understanding Society is a household panel survey with continuous fieldwork (monthly sam-ples) using a mixed mode design. Prior to March 2020, around half of all interviews were carried out face-to-face, amounting to around 1,150 interviews per month. This article outlines how the survey rapidly transitioned to a protocol without face-to-face interviews and presents some initial indicators of the impact of the change on field outcomes.","PeriodicalId":46454,"journal":{"name":"Survey Research Methods","volume":"14 1","pages":"235-239"},"PeriodicalIF":4.8,"publicationDate":"2020-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42203429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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