TY - INPR A1 - Kohler, Ulrich T1 - Maintaining quality T2 - Survey research methods N2 - Survey Research Methods has slightly revised its publication policies. Firstly, starting with the publication of this Editorial, SRM will accept - under specified conditions - manuscripts that discuss experiments in non-probability samples for peer-review. Secondly, SRM will require authors to publish replication materials of their study as Online supplement to their article. Finally, Survey Research Methods will publish replication studies of articles published in the journal. This Editorial gives reasons for these changes. KW - Editorial policies KW - non-probability samples KW - experiments KW - TOP-Guidelines Y1 - 2015 SN - 1864-3361 VL - 9 IS - 3 SP - 139 EP - 140 PB - European Survey Research Association CY - Duisburg ER - TY - GEN A1 - Keck, Wolfgang A1 - Kohler, Ulrich A1 - Nauenburg, Ricarda T1 - Quality of life in the european union and the candidate countries BT - harmonized eurobarometer datafile 1998-2002 N2 - Harmonized data file as the basis for comparative analysis of quality of life in the Candidate Countries and the European Union member states, based on seven different data sets, one Eurobarometer survey covering 13 Candidate Countries with an identical set of variables conducted in April 2002, the other six Standard Eurobarometer of different subjects and fielded in different years, each with another set of questions identical with the CC Eurobarometer. Selected aggregate indicators of quality of life ... describing the social situation in the EU15 and Candidate Countries. Y1 - 2016 U6 - https://doi.org/10.7802/1209 PB - WZB - Wissenschaftszentrum Berlin für Sozialforschung ER - TY - GEN A1 - Class, Fabian A1 - Kohler, Ulrich A1 - Krawietz, Marian T1 - The Potsdam Grievance Statistics File BT - new data on quality of life and political participation for the German Democratic Republic 1970–1989 T2 - Historical Methods: A Journal of Quantitative and Interdisciplinary History N2 - The newly collected “Potsdam Grievance Statistics File” (PGSF) holds data on the number and topics of grievances (“Eingaben”) that were addressed to local authorities of the German Democratic Republic (GDR) in the years 1970 to 1989. The PGSF allows quantitative analyses on topics such as participation, quality of life, and value change in the German Democratic Republic. This paper introduces the concepts of the data set and discusses the validity of its contents. T3 - Zweitveröffentlichungen der Universität Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe - 97 KW - Potsdam Grievance Statistics File (PGSF) KW - German Democratic Republic (GDR) KW - Eingaben KW - Participation KW - Quality of Life Y1 - 2018 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-412843 ER - TY - JOUR A1 - Brady, David A1 - Giesselmann, Marco A1 - Kohler, Ulrich A1 - Radenacker, Anke T1 - How to measure and proxy permanent income BT - evidence from Germany and the US JF - The Journal of Economic Inequality N2 - Permanent income (PI) is an enduring concept in the social sciences and is highly relevant to the study of inequality. Nevertheless, there has been insufficient progress in measuring PI. We calculate a novel measure of PI with the German Socio-Economic Panel (SOEP) and U.S. Panel Study of Income Dynamics (PSID). Advancing beyond prior approaches, we define PI as the logged average of 20+ years of post-tax and post-transfer ("post-fisc") real equivalized household income. We then assess how well various household- and individual-based measures of economic resources proxy PI. In both datasets, post-fisc household income is the best proxy. One random year of post-fisc household income explains about half of the variation in PI, and 2-5 years explain the vast majority of the variation. One year of post-fisc HH income even predicts PI better than 20+ years of individual labor market earnings or long-term net worth. By contrast, earnings, wealth, occupation, and class are weaker and less cross-nationally reliable proxies for PI. We also present strategies for proxying PI when HH post-fisc income data are unavailable, and show how post-fisc HH income proxies PI over the life cycle. In sum, we develop a novel approach to PI, systematically assess proxies for PI, and inform the measurement of economic resources more generally. KW - Income KW - Permanent income KW - Lifetime income KW - Measurement KW - Longitudinal and panel data KW - Social class Y1 - 2018 U6 - https://doi.org/10.1007/s10888-017-9363-9 SN - 1569-1721 SN - 1573-8701 VL - 16 IS - 3 SP - 321 EP - 345 PB - Springer CY - Dordrecht ER - TY - JOUR A1 - Kohler, Ulrich A1 - Kreuter, Frauke A1 - Stuart, Elizabeth A. T1 - Nonprobability Sampling and Causal Analysis JF - Annual review of statistics and its application N2 - The long-standing approach of using probability samples in social science research has come under pressure through eroding survey response rates, advanced methodology, and easier access to large amounts of data. These factors, along with an increased awareness of the pitfalls of the nonequivalent comparison group design for the estimation of causal effects, have moved the attention of applied researchers away from issues of sampling and toward issues of identification. This article discusses the usability of samples with unknown selection probabilities for various research questions. In doing so, we review assumptions necessary for descriptive and causal inference and discuss research strategies developed to overcome sampling limitations. KW - causal inference KW - generalizability KW - self-selection KW - nonprobability sampling KW - validity KW - measurement error KW - heterogeneous treatment effects KW - big data Y1 - 2018 U6 - https://doi.org/10.1146/annurev-statistics-030718-104951 SN - 2326-8298 SN - 2326-831X VL - 6 SP - 149 EP - 172 PB - Annual Reviews CY - Palo Alto ER - TY - JOUR A1 - Kohler, Ulrich T1 - Possible uses of nonprobability sampling for the social sciences JF - Survey methods : insights from the field N2 - This paper compares the usability of data stemming from probability sampling with data stemming from nonprobability sampling. It develops six research scenarios that differ in their research goals and assumptions about the data generating process. It is shown that inferences from data stemming from nonprobability sampling implies demanding assumptions on the homogeneity of the units being studied. Researchers who are not willing to pose these assumptions are generally better off using data from probability sampling, regardless of the amount of nonresponse. However, even in cases when data from probability sampling is clearly advertised, data stemming from nonprobability sampling may contribute to the cumulative scientific endeavour of pinpointing a plausible interval for the parameter of interest. KW - Causal Inference KW - Descriptive Inference KW - Fit-for-purpose KW - Interactions KW - Nonprobability sample KW - PATE KW - Probability sample Y1 - 2019 U6 - https://doi.org/10.13094/SMIF-2019-00014 SN - 2296-4754 PB - Swiss Found. for Research in Social Sciences CY - Lausanne ER - TY - JOUR A1 - Hipp, Lena A1 - Kohler, Ulrich A1 - Leumann, Sandra T1 - How to implement respondent-driven sampling in practice BT - insights from surveying 24-hour migrant home care workers JF - Survey methods : insights from the field N2 - This article draws on the experience from an ongoing research project employing respondent-driven sampling (RDS) to survey (illicit) 24-hour home care workers. We highlight issues around the preparatory work and the fielding of the survey to provide researchers with useful insights on how to implement RDS when surveying populations for which the method has not yet been used. We conclude the article with ethical considerations that occur when employing RDS. KW - hidden populations KW - illicit behaviours KW - practical implementation KW - respondent-driven sampling Y1 - 2019 U6 - https://doi.org/10.13094/SMIF-2019-00009 SN - 2296-4754 SP - 1 EP - 13 PB - Swiss Found. for Research in Social Sciences CY - Lausanne ER - TY - GEN A1 - Krawietz, Marian A1 - Goebel, Jan A1 - Albrecht, Sophia A1 - Class, Fabian A1 - Kohler, Ulrich T1 - Leben in der ehemaligen DDR BT - Zusatzfragebogen im Rahmen der Befragung "Leben in Deutschland 2018" / Living in the GDR Y1 - 2019 U6 - https://doi.org/10.5684/soep.ddr18 PB - German Institute for Economic Research (DIW Berlin) CY - Berlin ER - TY - GEN A1 - Kohler, Ulrich T1 - Editorial: Survey Research Methods during the COVID-19 Crisis T2 - Survey Research Methods KW - COVID-19 KW - Survey Research Methods Y1 - 2020 U6 - https://doi.org/10.18148/srm/2020.v14i2.7769 SN - 1864-3361 VL - 14 IS - 2 SP - 93 EP - 94 CY - Konstanz ER - TY - JOUR A1 - Post, Julia C. A1 - Class, Fabian A1 - Kohler, Ulrich T1 - Unit nonresponse biases in estimates of SARS-CoV-2 prevalence JF - Survey research methods N2 - Since COVID-19 became a pandemic, many studies are being conducted to get a better understanding of the disease itself and its spread. One crucial indicator is the prevalence of SARS-CoV-2 infections. Since this measure is an important foundation for political decisions, its estimate must be reliable and unbiased. This paper presents reasons for biases in prevalence estimates due to unit nonresponse in typical studies. Since it is difficult to avoid bias in situations with mostly unknown nonresponse mechanisms, we propose the maximum amount of bias as one measure to assess the uncertainty due to nonresponse. An interactive web application is presented that calculates the limits of such a conservative unit nonresponse confidence interval (CUNCI). KW - COVID-19 KW - prevalence KW - probability samples KW - unit nonresponse KW - conservative confidence limits KW - nonresponse bias Y1 - 2020 U6 - https://doi.org/10.18148/srm/2020.v14i2.7755 SN - 1864-3361 VL - 14 IS - 2 SP - 115 EP - 121 PB - European Survey Research Association CY - Duisburg ER -