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Fieldwork Monitoring in Practice: Insights from 17 Large-scale Social Science Surveys in Germany

This study provides a synopsis of the current fieldwork monitoring practices of large-scale surveys in Germany. Based on the results of a standardized questionnaire, the study summarizes fieldwork monitoring indicators used and fieldwork measures carried out by 17 large-scale social sciences surveys in Germany. Our descriptive results reveal that a common set of fieldwork indicators and measures exist ...

Introduction to Lab²: A MetaLab for Better Science

The replicability crisis highlights the need for more transparent and robust research practices. Lab² (Lab-Square) is a collaborative initiative using meta-scientific approaches to improve research credibility. Through large-scale projects like Many-Labs, Many-Designs, and Many-Analysts, we assess the generalizability of findings across populations, methods, and analytical approaches. Lab² also...

Learn to use the SOEP over lunch

The German Socio-Economic Panel Study is a representative panel study for the German population, collecting data on a broad variety of topics of everyday life, including general well-being, household composition, educational aspirations and educational status, income and occupational biographies, leisure time activities, housing, health, political orientation and more. With its long running panel...

Learn to use the SOEP over lunch

The German Socio-Economic Panel Study is a representative panel study for the German population, collecting data on a broad variety of topics of everyday life, including general well-being, household composition, educational aspirations and educational status, income and occupational biographies, leisure time activities, housing, health, political orientation and more. With its long running panel...

SOEP Annual Report 2023

Validating an Index of Selection Bias for Proportions in Non-probability Samples

Fast online surveys without sampling frames are becoming increasingly important in survey research. Their recruitment methods result in non-probability samples. As the mechanism of data generation is always unknown in such samples, the problem of non-ignorability arises making vgeneralisation of calculated statistics to the population of interest highly questionable. Sensitivity analyses provide a ...

Time-Varying Shock Transmission in Non-Gaussian Structural Vector Autoregressions

This paper analyzes possibly time-varying shock transmission in structural vector autoregressive (VAR) models when the reduced-form VAR coefficients are time-invariant and the shocks are identified through non-Gaussianity. To check for possible time-variation in the impulse responses, we propose Wald tests for two situations: (1) homoskedastic and (2) heteroskedastic structural shocks. For the latter ...

Identifying Optimizers, Extremists, and Indifferents: Latent Satisficing Patterns in Panel Surveys

Data quality is known to be compromised when respondents cognitively shortcut the survey response process. This satisficing behavior leads to inaccurate and unreliable responses that are hard to compensate after data collection. Thus, detecting and understanding survey satisficing is crucial for developing and implementing effective preventive measures in longitudinal data collection contexts. We use ...

The Performance of Multiple Imputation in Social Surveys with Missing Data from Planned Missingness and Item Nonresponse

Designs using planned missingness, such as the split questionnaire design, are becoming more and more important in social survey research. To ensure an acceptable questionnaire length, these approaches typically entail large amounts of planned missing data, which can be imputed after data collection. However, social surveys typically also include other types of missingness such as item nonresponse ...

Avoiding Unintentionally Correlated Shocks in Procy Vector Autoregressive Analysis

The shocks in structural vector autoregressive (VAR) analysis are typically assumed to be instantaneously uncorrelated. This condition may easily be violated in proxy VAR models if more than one shock is identified by a proxy variable. Correlated shocks may be obtained even if the proxies are uncorrelated and satisfy the usual relevance and exogeneity conditions individually. Examples from the recent ...