Frauke Kreuter
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German sociologist and statistician
Frauke Kreuter's AcademicInfluence.com Rankings
Frauke Kreutermathematics Degrees
Mathematics
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Statistics
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#729
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Measure Theory
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#2977
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Sociology Mathematics
Frauke Kreuter's Degrees
- PhD Statistics University of Konstanz
Why Is Frauke Kreuter Influential?
(Suggest an Edit or Addition)According to Wikipedia, Frauke Kreuter is a German sociologist and statistician. She is a professor of the Joint Program in Survey Methodology of the University of Maryland, College Park and a professor in statistics and data science at the Ludwig Maximilian University of Munich, Germany. Her research in survey methodology includes work on sampling error and observational error.
Frauke Kreuter's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Social Desirability Bias in CATI, IVR, and Web Surveys The Effects of Mode and Question Sensitivity (2008) (1040)
- A Handbook of Statistical Analyses using SPSS (2004) (767)
- Data Analysis Using Stata (2005) (284)
- Acceptability of App-Based Contact Tracing for COVID-19: Cross-Country Survey Study (2020) (262)
- Practical Tools for Designing and Weighting Survey Samples (2015) (245)
- Analyzing Criminal Trajectory Profiles: Bridging Multilevel and Group-based Approaches Using Growth Mixture Modeling (2008) (192)
- Improving Surveys with Paradata: Analytic Uses of Process Information (2013) (189)
- A Survey on Survey Statistics: What is Done and Can be Done in Stata (2007) (164)
- Mental Distress during the COVID-19 Pandemic among US Adults without a Pre-existing Mental Health Condition: Findings from American Trend Panel Survey. (2020) (158)
- Using proxy measures and other correlates of survey outcomes to adjust for non‐response: examples from multiple surveys (2010) (140)
- Separating interviewer and sampling-point effects (2003) (138)
- Journal of the Royal Statistical Society Series A (Statistics in Society). Special Issue on Paradata (2013) (134)
- Big Data in Survey Research AAPOR Task Force Report (2015) (126)
- Nonresponse and Measurement Error in Employment Research: Making Use of Administrative Data (2010) (125)
- Using paradata to explore item level response times in surveys (2013) (97)
- Mental Distress in the United States at the Beginning of the COVID-19 Pandemic. (2020) (95)
- Assessing the Magnitude of Non-Consent Biases in Linked Survey and Administrative Data (2012) (89)
- Big Data and Social Science: A Practical Guide to Methods and Tools (2016) (89)
- Associations Between Media Exposure and Mental Distress Among U.S. Adults at the Beginning of the COVID-19 Pandemic (2020) (88)
- Theory and practice in non-probability surveys : parallels between causal inference and survey inference (2017) (80)
- Theory and practice in non-probability surveys : parallels between causal inference and survey inference (2017) (80)
- Collecting Survey and Smartphone Sensor Data With an App: Opportunities and Challenges Around Privacy and Informed Consent (2020) (72)
- Data Analysis using Stata, 2nd Edition (2009) (71)
- Willingness to Participate in Passive Mobile Data Collection (2019) (70)
- Facing the Nonresponse Challenge (2013) (69)
- Acceptability of app-based contact tracing for COVID-19: Cross-country survey evidence (2020) (69)
- Trajectories of Mental Distress Among U.S. Adults During the COVID-19 Pandemic (2021) (64)
- Placement, Wording, and Interviewers: Identifying Correlates of Consent to Link Survey and Administrative Data (2013) (60)
- Assessing the Mechanisms of Misreporting to Filter Questions in Surveys (2014) (59)
- Tree-based machine learning methods for survey research (2019) (57)
- “Interviewer” Effects in Face-to-Face Surveys: A Function of Sampling, Measurement Error, or Nonresponse? (2013) (56)
- The Effects of Asking Filter Questions in Interleafed Versus Grouped Format (2011) (54)
- Analyzing contact sequences in call record data. Potential and limitations of sequence indicators for nonresponse adjustments in the European Social Survey (2009) (54)
- Multiple Auxiliary Variables in Nonresponse Adjustment (2011) (52)
- Psychomorbidity, Resilience, and Exacerbating and Protective Factors During the SARS-CoV-2 Pandemic. (2020) (51)
- The US COVID-19 Trends and Impact Survey: Continuous real-time measurement of COVID-19 symptoms, risks, protective behaviors, testing, and vaccination (2021) (50)
- Longitudinal modeling of population heterogeneity: Methodological challenges to the analysis of empirically derived criminal trajectory profiles (2008) (49)
- New Data Sources in Social Science Research: Things to Know Before Working With Reddit Data (2019) (49)
- Total survey error in practice (2017) (49)
- Good item or bad—can latent class analysis tell?: the utility of latent class analysis for the evaluation of survey questions (2008) (48)
- The use of paradata to monitor and manage survey data collection (2010) (44)
- Interviewer speech and the success of survey invitations (2013) (43)
- Motivated Underreporting in Screening Interviews (2012) (41)
- Evaluating Survey Questions: A Comparison of Methods (2012) (36)
- Evaluating the Quality of Survey and Administrative Data with Generalized Multitrait-Multimethod Models (2015) (36)
- Confirmation Bias in Housing Unit Listing (2011) (36)
- Evaluating the Measurement Error of Interviewer Observed Paradata (2013) (36)
- Children's Reports of Parents' Education Level: Does it Matter Whom You Ask and What You Ask About? (2010) (35)
- Global trends and predictors of face mask usage during the COVID-19 pandemic (2020) (34)
- Membership of Voluntary Associations (1998) (31)
- The Effect of Benefit Wording on Consent to Link Survey and Administrative Records in a Web Survey (2014) (31)
- The Framing of the Record Linkage Consent Question (2016) (31)
- Factors Affecting the Accuracy of Interviewer Observations Evidence from the National Survey of Family Growth (2013) (29)
- An Evaluation of Nonresponse Bias Using Paradata from a Health Survey (2009) (29)
- Issues Facing the Field: Alternative Practical Measures of Representativeness of Survey Respondent Pools (2008) (29)
- Partnering with a global platform to inform research and public policy making (2020) (29)
- Nonprobability Sampling and Causal Analysis (2019) (29)
- Nonprobability Sampling and Causal Analysis (2019) (29)
- Changes in drinking days among United States adults during the COVID‐19 pandemic (2021) (28)
- Using Mouse Movements to Predict Web Survey Response Difficulty (2017) (28)
- Human social sensing is an untapped resource for computational social science (2021) (28)
- Which Is the Better Investment for Nonresponse Adjustment: Purchasing Commercial Auxiliary Data or Collecting Interviewer Observations? (2014) (27)
- Improving Surveys with Paradata (2013) (27)
- Differential Privacy and Social Science: An Urgent Puzzle (2020) (26)
- Can conversational interviewing improve survey response quality without increasing interviewer effects? (2018) (24)
- Global monitoring of the impact of the COVID-19 pandemic through online surveys sampled from the Facebook user base (2021) (23)
- Editorial: The use of paradata in social survey research (2013) (23)
- Modeling Nonresponse in Establishment Surveys: Using an Ensemble Tree Model to Create Nonresponse Propensity Scores and Detect Potential Bias in an Agricultural Survey (2014) (22)
- Undercoverage Rates and Undercoverage Bias in Traditional Housing Unit Listing (2013) (22)
- Is the Collection of Interviewer Observations Worthwhile in an Economic Panel Survey? New Evidence from the German Labor Market and Social Security (PASS) Study (2014) (20)
- Predicting Voting Behavior Using Digital Trace Data (2019) (20)
- IMPROVING SURVEYS WITH PARADATA: INTRODUCTION (2013) (19)
- Using Proxy Measures of Survey Outcomes in Post-Survey Adjustments : Examples from the European Social Survey ( ESS ) (2007) (18)
- Paradata for Nonresponse Error Investigation (2013) (18)
- Effects of speech rate, pitch, and pausing on survey participation decisions (2011) (18)
- Coverage Error in Data Collection Combining Mobile Surveys With Passive Measurement Using Apps: Data From a German National Survey (2020) (18)
- The U.S. COVID-19 Trends and Impact Survey, 2020-2021: Continuous real-time measurement of COVID-19 symptoms, risks, protective behaviors, testing and vaccination (2021) (18)
- Occupation coding during the interview (2018) (17)
- A Note on Mechanisms Leading to Lower Data Quality of Late or Reluctant Respondents (2014) (17)
- Universal adaptability: Target-independent inference that competes with propensity scoring (2022) (17)
- AAPOR Report on Big Data (2015) (16)
- Acceptability of App-Based Contact Tracing for COVID-19: Cross-Country Survey Study (Preprint) (2020) (15)
- Extracting information from big data: Issues of measurement, inference and linkage (2014) (14)
- Assessing the measurement error properties of interviewer observations of neighbourhood characteristics (2013) (14)
- Evaluating Active (Opt-In) and Passive (Opt-Out) Consent Bias in the Transfer of Federal Contact Data to a Third-Party Survey Agency (2016) (13)
- Are there test administrator effects in large-scale educational assessments? Using cross-classified multilevel analysis to probe for effects on mathematics achievement and sample attrition (2007) (13)
- The Effect of Framing and Placement on Linkage Consent (2019) (13)
- Motivated misreporting: shaping answers to reduce survey burden (2015) (13)
- Impacts of the COVID-19 pandemic on labor market surveys at the German institute for employment research (2020) (13)
- Missing Data and Other Measurement Quality Issues in Mobile Geolocation Sensor Data (2020) (13)
- Interviewer Effects from a Total Survey Error Perspective (2020) (13)
- Latent class analysis of response inconsistencies across modes of data collection. (2012) (12)
- The Effect of Survey Mode on Data Quality: Disentangling Nonresponse and Measurement Error Bias (2019) (12)
- Misreporting to looping questions in surveys: recall, motivation and burden (2015) (12)
- A Note on Improving Process Efficiency in Panel Surveys with Paradata (2012) (11)
- Distributive Justice and Fairness Metrics in Automated Decision-making: How Much Overlap Is There? (2021) (10)
- The Effect of Differential Incentives on Attrition Bias (2018) (10)
- Obtaining Record Linkage Consent: Results from a Wording Experiment in Germany (2015) (10)
- The use of paradata (2015) (10)
- Interviewer–respondent Interactions in Conversational and Standardized Interviewing (2018) (9)
- A Practical Technique for Improving the Accuracy of Interviewer Observations: Evidence from the National Survey of Family Growth (2015) (9)
- The Relationship Between Interviewer-Respondent Rapport and Data Quality (2020) (9)
- Individual Acceptance of Using Health Data for Private and Public Benefit: Changes During the COVID-19 Pandemic (2021) (9)
- Big Data and Social Science (2020) (9)
- Learning from Mouse Movements: Improving Questionnaires and Respondents' User Experience Through Passive Data Collection (2020) (8)
- Nonresponse and Measurement Error Variance among Interviewers in Standardized and Conversational Interviewing (2018) (7)
- Effects of Incentives in Smartphone Data Collection (2020) (7)
- Trust and cooperative behavior: Evidence from the realm of data-sharing (2019) (7)
- Using paradata and other auxiliary data to examine mode switch nonresponse in a "recruit-and-switch" telephone survey (2011) (6)
- A Practical Technique for Improving the Accuracy of Interviewer Observations of Respondent Characteristics (2015) (6)
- The Past, Present, and Future of Research on Interviewer Effects (2020) (6)
- TOWARDS STATISTICAL THINKING: MAKING REAL DATA REAL (2006) (6)
- Change Through Data: A Data Analytics Training Program for Government Employees (2019) (6)
- An Exploration into the Use of Paradata for Nonresponse Adjustment in a Health Survey (2008) (5)
- Combining Active and Passive Mobile Data Collection (2020) (5)
- Increasing Fieldwork Efficiency Through Prespecified Appointments (2014) (5)
- Does Benefit Framing Improve Record Linkage Consent Rates? A Survey Experiment. (2019) (5)
- Basic Steps in Weighting (2013) (4)
- Undercoverage-nonresponse trade-off (2017) (4)
- Seeing ChatGPT Through Students' Eyes: An Analysis of TikTok Data (2023) (4)
- PracTools: Computations for Design of Finite Population Samples (2015) (4)
- Strategies for Increasing the Accuracy of Interviewer Observations of Respondent Features: Evidence From the US National Survey of Family Growth (2018) (4)
- Using geofences to collect survey data: Lessons learned from the IAB-SMART study (2020) (3)
- Predicting Question Difficulty in Web Surveys: A Machine Learning Approach Based on Mouse Movement Features (2021) (3)
- International Program in Survey and Data Science (2018) (3)
- Getting the Most Out of Paradata (2018) (3)
- Survey Methodology: International Developments (2009) (3)
- To Agree or Not to Agree ? Impact of interviewer speech on survey participation decisions (2010) (3)
- A Survey on Survey Statistics: What is done, can be done in Stata, and what's missing (2005) (3)
- The Salience of Survey Burden and Its Effect on Response Behavior to Skip Questions: Experimental Results from Telephone and Web Surveys (2020) (3)
- Measuring the Strength of Attitudes in Social Media Data (2020) (3)
- Challenge to the established curriculum: a collection of reflections (2018) (3)
- Study Designs for Quantitative Social Science Research Using Social Media (2020) (3)
- Least Squares Optimal Scaling of Partially Observed Linear Systems (2003) (3)
- A preregistered vignette experiment on determinants of health data sharing behaviorWillingness to donate sensor data, medical records, and biomarkers (2022) (2)
- Partnering withturn-aroundfacebook globalon a university-basedsurvey rapid (2020) (2)
- Fairness in Algorithmic Profiling: A German Case Study (2021) (2)
- The 2010 PASS interviewer survey: collecting data for research into interviewer effects (2014) (2)
- Integrating survey and learning analytics data for a better understanding of engagement in MOOCs (2018) (2)
- Social impacts of algorithmic decision-making: A research agenda for the social sciences (2022) (2)
- Factors Affecting Consent to Linkage with Administrative Data (2013) (2)
- Content overview (2019) (2)
- Protective and Risk Factors for Mental Distress and Its Impact on Health-Protective Behaviors during the SARS-CoV-2 Pandemic between March 2020 and March 2021 in Germany (2021) (2)
- Association of Non-Pharmaceutical Interventions to Reduce the Spread of SARS-CoV-2 With Anxiety and Depressive Symptoms: A Multi-National Study of 43 Countries (2022) (2)
- Designing Multistage Samples (2013) (2)
- Statistical Identification of Fraudulent Interviews in Surveys: Improving Interviewer Controls (2020) (2)
- Change through Data: A Public Extension Program for Government Employees (2019) (1)
- Classification ensembles for multivariate functional data with application to mouse movements in web surveys (2022) (1)
- German General Social Survey ALLBUS - Small-scale Geodata 2014 and 2016 (2018) (1)
- Project 3: Weighting a Personnel Survey (2013) (1)
- Calibration and Other Uses of Auxiliary Data in Weighting (2013) (1)
- Real-Time Analysis of Predictors of COVID-19 Infection Spread in Countries in the European Union Through a New Tool (2022) (1)
- I Capture and Curation (2016) (1)
- What surveys really say (2021) (1)
- The Impact of Interviewer Effects on Regression Coefficients (2019) (1)
- Preface [Special Issue on Survey Nonresponse] (2011) (1)
- An Overview of Sample Design and Weighting (2013) (1)
- Did the GDPR increase trust in data collectors? Evidence from observational and experimental data (2021) (1)
- Nonresponse Bias Adjustment in Establishment Surveys: A Comparison of Weighting Methods Using the Agricultural Resource Management Survey (ARMS) (2012) (1)
- The Impact of Interviewer Effects on Regression Coefficients (2019) (1)
- Privacy and Confidentiality (2020) (1)
- Humans versus machines: Who is perceived to decide fairer? Experimental evidence on attitudes toward automated decision-making (2022) (1)
- Within-Household Selection and Dual-Frame Telephone Surveys: A Comparative Experiment of Eleven Different Selection Methods (2018) (1)
- Predicting respondent difficulty in web surveys: A machine-learning approach based on mouse movement features (2020) (1)
- Effects of Cluster Sizes on Variance Components in Two-Stage Sampling (2015) (1)
- Big Data and Social Science Research: Theory and Practical Approaches (2016) (1)
- Appendix A: Executive summary from innovations in federal statistics : combining data sources while protecting privacy (2017) (1)
- Digital trace data (2021) (0)
- The Carryover Effects of Preceding Interviewer–Respondent Interaction on Responses in Audio Computer-Assisted Self-Interviewing (ACASI) (2020) (0)
- A Handbook of Statistical Analyses using Stata (2004) (0)
- Cognitive Aspects of Dependent Verification in Survey Operations (2012) (0)
- Selected ICES-IV Presentations from the Newly Released Journal of Official Statistics Special Issue on Establishment Surveys (2014) (0)
- The Area Sample Design: One Solution (2013) (0)
- Improving Labeling Through Social Science Insights: Results and Research Agenda (2022) (0)
- The Social Science of Privacy - Effects on Industry and Government Data Use (2019) (0)
- Chapter 7: Statistical Identification of Fraudulent Interviews in Surveys: Improving Interviewer ControlsAppendix 7 (2020) (0)
- Experiments in Obtaining Data Linkage Consent in Web Surveys (2013) (0)
- Investigating the social, economic and political consequences of the COVID-19 pandemic: A rolling cross-section approach Commentary (2020) (0)
- Latent Class Analysis of Response Inconsistency across Modes in NSFG Cycle 6 (2006) (0)
- Weighting the Personnel Survey: One Solution (2013) (0)
- Project 1: Design a Single-Stage Personnel Survey (2013) (0)
- Paradata - big data of survey research (2015) (0)
- Non‐participation in smartphone data collection using research apps (2022) (0)
- Predicting political behavior and attitudes using digital trace data (2019) (0)
- Value of Science: Data, Products & Use Conference Using AI and ML to Document Data Use (2021) (0)
- Chapter 8: Examining the Utility of Interviewer Observations on the Survey Response Process. Appendix 8 (2020) (0)
- Process Control and Quality Measures (2013) (0)
- Good Item or Bad – Can Latent Class Analysis Tell ? Examining the Effectiveness of a Latent Class Analysis Approach to Item Evaluation (2006) (0)
- Children's Reports of Parents' Socio-Economic Status: Does it Matter Whom You Ask and What You Ask About? (2010) (0)
- Book Reviews (2017) (0)
- The International Program in Survey and Data Science (IPSDS): A modern study program for working professionals (2021) (0)
- Examining the Utility of Interviewer Observations on the Survey Response Process (2020) (0)
- Interviewer Falsification in Survey Research: Detection Methods and Impact of Fraudulent Interviews (2019) (0)
- nvestigating the Utility of Interviewer Observations on the Survey Response Process (2019) (0)
- Power Calculations and Sample Size Determination (2013) (0)
- Respondent Understanding of Data Linkage Consent (2021) (0)
- Trust and Cooperation: Evidence From the Realm of Data-Sharing (2019) (0)
- 2 Sources and Nature of Paradata for Nonresponse Error Investigation (2013) (0)
- Exploring impacts of artificial intelligence on urban societies with social simulations (2020) (0)
- (MCMC). Chapter 6 covers in detail problems with inverting the Hessian matrix; explaining reasons why it may not be invertible, the substantive meaning attached to this problem, and what fruitful solution strategies there are. This chapter exemplifies the diculty (2005) (0)
- From fair predictions to just decisions? Conceptualizing algorithmic fairness and distributive justice in the context of data-driven decision-making (2022) (0)
- Sample Size Calculation in Single-stage Sampling (2022) (0)
- The Personnel Survey Design Project: One Solution (2013) (0)
- COVID-19, normative attitudes and pluralistic ignorance in employer-employee relationships (2022) (0)
- Outcome Rates and Effect on Sample Size (2013) (0)
- The Use of Alternative Data Sources in Official Statistics (2013) (0)
- RANVAR: Stata module to compute the random group variance estimator of the mean for survey data (2001) (0)
- A Handbook of Statistical Analyses using SPSS/Stata (2004) (0)
- Response 1 to Biemer and Berzofsky's Chapter: Some Issues in the Application of Latent Class Models for Questionnaire Design (2011) (0)
- Advancements in Sample Data Augmentation (2013) (0)
- Special issue: International Workshop on Household Survey Nonresponse (2011) (0)
- Sample Design and Sample Size for Single-Stage Surveys (2013) (0)
- Winter 2020 Di � erential Privacy and Social Science : An Urgent Puzzle (2021) (0)
- The Value of Science: Special Theme (2022) (0)
- Project 2: Designing an Area Sample (2013) (0)
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What Schools Are Affiliated With Frauke Kreuter?
Frauke Kreuter is affiliated with the following schools:
