Frauke Kreuter

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Frauke Kreuter is currently director of the Joint Program in Survey Methodology at the University of Maryland, USA; Professor of Statistics and Methodology at the University of Mannheim; and head of the Statistical Methods Research Department at the Institute for Employment Research (IAB) in Nürnberg, Germany. Prior to joining the University of Mannheim she held a position as professor for statistics and labour market research at the Ludwig Maximilian University in Munich (LMU).

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Papers by Frauke Kreuter

Data Analysis using Stata, 2nd Edition

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Data analysis with Stata. General concepts of data analysis and their practical applications. 4th revised and extended ed. (Datenanalyse mit Stata. Allgemeine Konzepte der Datenanalyse und ihre praktische Anwendung.)

The use of paradata to monitor and manage survey data collection

Paradata are automatic data collected about the survey data collection process captured during co... more Paradata are automatic data collected about the survey data collection process captured during computer assisted data collection, and include call records, interviewer observations, time stamps, keystroke data, travel and expense information, and other data captured during the process. Increasingly such data are being used in real time to both monitor and manage large scale data collection processes. In this paper we use a statistical process control perspective to describe how such data can be used to monitor the survey process. Process control charts and statistical models can be used to identify areas of concern during data collection, and can lead to further investigation of the problem and (if necessary) intervention. We describe the data and analyses that are available and present several case studies of paradata use in different types of surveys and organizations.

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Data analysis with Stata. General concepts of data analysis and their practical application. 3rd revised ed. (Datenanalyse mit Stata. Allgemeine Konzepte der Datenanalyse und ihre praktische Anwendung.)

Assessing the Magnitude of Administrative Non-Consent Biases in the German PASS Study

ABSTRACT

Datenanalyse mit Stata: Allgemeine Konzepte der Datenanalyse und ihre praktische Anwendung

Evaluating the quality of survey and administrative data with generalized multitrait-multimethod models

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A Survey on Survey Statistics: What is done, can be done in Stata, and what's missing

Among survey statisticians Stata is increasingly recognized as one of the more powerful statistic... more Among survey statisticians Stata is increasingly recognized as one of the more powerful statistical software packages for the analysis of complex survey data. This paper will survey the capabilities of Stata to analyze complex survey data. We will briefly review and compare different methods for variance estimation for stratified and clustered samples, and discuss the handling of survey weights. Examples will be given for the practical importance of Stata's survey capabilities. In addition we will point to statistical solutions that aren't yet part of the official package, and review user written ados that currently extend Stata's survey capabilities. Among the specific topics we will cover are replication variance estimation (jackknife, balanced repeated replication, and the bootstrap), issues associated with degrees of freedom and domain estimates, quantile estimation, and some concerns related to model fitting using survey data.

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Which Is the Better Investment for Nonresponse Adjustment: Purchasing Commercial Auxiliary Data or Collecting Interviewer Observations?

Public Opinion Quarterly, 2014

Children's Reports of Parents' Education Level: Does it Matter Whom You Ask and What You Ask About?

Education researchers who study the effect of family social background on student achievement oft... more Education researchers who study the effect of family social background on student achievement often use students' survey reports of parental education to investigate these effects. However, past research has demonstrated that students misreport their parents' education levels. We expand upon this research in two ways. First we use cognitive theories about the response process to develop and test hypotheses about reporting inconsistencies across these variables. Second we evaluate the impact of student misreporting on estimates of the relationship between parental education levels and student math achievement. Using data from the German adminis-tration of PISA 2000 (OECD Programme for International Student Assessment) in which both students and parents were asked to report parental variables, we show that reporting inconsis-tencies are a function of student achievement: students with higher math scores tend to provide reports that are more consistent with their parents' r...

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Assessing the measurement error properties of interviewer observations of neighbourhood characteristics

Journal of the Royal Statistical Society Series A (Statistics in Society)

Interviewer observations made during the process of data collection are currently used to inform ... more Interviewer observations made during the process of data collection are currently used to inform responsive design decisions, to expand the set of covariates for nonresponse adjustments, to explain participation in surveys, and to assess nonresponse bias. However, little effort has been made to assess the quality of such interviewer observations. Using data from the Los Angeles Family and Neighbourhood Survey (L.A.FANS), this paper examines measurement error properties of interviewer observations of neighbourhood characteristics. Block level and interviewer covariates are used in multilevel models to explain interviewer variation in the observations of neighbourhood features.

Paradata

Paradata – data about the process of survey production – have drawn increasing attention as the s... more Paradata – data about the process of survey production – have drawn increasing attention as the statistical world moves towards the implementation of quality metrics and measures to improve quality and save costs. This paper gives examples of various uses of paradata and discusses access to paradata as well as future developments.

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A Handbook of Statistical Analyses Using SPSS

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Are There Test Administrator Effects in Large-Scale Educational Assessments?

Methodology: European Journal of Research Methods for the Behavioral and Social Sciences, 2007

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Schüler als Informanten? Die Qualität von Schülerangaben zum sozialen Hintergrund

Herkunftsbedingte Disparitäten im Bildungswesen: Differenzielle Bildungsprozesse und Probleme der Verteilungsgerechtigkeit, 2006

Die Analyse sozialer Disparitäten der Bildungsbeteiligung und des Kompetenzerwerbs setzt die diff... more Die Analyse sozialer Disparitäten der Bildungsbeteiligung und des Kompetenzerwerbs setzt die differenzierte und valide Erfassung von Merkmalen des sozialen Hintergrunds voraus. Mit den theoretischen Konzepten des kulturellen und sozialen Kapitals sowie der sozioökonomischen Stellung liegt in PISA ein theoretischer Rahmen zur Operationalisierung des sozialen Hintergrunds vor, der in vielen Forschungskontexten Anwendung gefunden hat und mittlerweile einen internationalen Standard für die