PASS-Literatur
Das Panel "Arbeitsmarkt und soziale Sicherung" (PASS) ist eine jährlich stattfindende Haushaltsbefragung. Mit dem PASS baut das IAB einen Datensatz für die Arbeitsmarkt-, Sozialstaats- und Armutsforschung in Deutschland auf. Durch seine Fallzahlen und die jährliche Periodizität ist PASS eine zentrale Quelle für die Untersuchung des Arbeitsmarkts, der Armut und der Situation von SGB-II-Leistungsempfängern in Deutschland.
In diesem Themendossier finden Sie die mit PASS-Daten erstellte Forschungsliteratur, Daten- und Methodendokumentationen des PASS sowie Veröffentlichungen der methodischen Begleitforschung.
Im Filter „Autorenschaft“ können Sie auf IAB-(Mit-)Autorenschaft eingrenzen.
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Literaturhinweis
Methodenbericht Panel Arbeitsmarkt und Soziale Sicherung PASS: 8. Erhebungswelle - 2014 (Haupterhebung) (2015)
Jesske, Birgit; Schulz, Sabine;Zitatform
Jesske, Birgit & Sabine Schulz (2015): Methodenbericht Panel Arbeitsmarkt und Soziale Sicherung PASS. 8. Erhebungswelle - 2014 (Haupterhebung). (FDZ-Methodenreport 11/2015 (de)), Nürnberg, 115 S.
Abstract
"Der vorliegende Methodenbericht für die Welle 8 beschreibt die Zusammensetzung der Stichprobe aus Bestands- und Auffrischungsadressen (Kapitel 3), die Befragungspersonen der Studie (Kapitel 2) und geht auf die Erhebungsinstrumente ein, die neben den Hauptinstrumenten für Haushalts- und Personen- bzw. Seniorenfragen auch einen Kontaktierungsfragebogen und eine Matrix zur Erfassung der Haushaltszusammensetzung umfassen (Kapitel 4).
In Kapitel 5 erfolgt eine ausführliche Beschreibung der Durchführung der Erhebungen sowie eine Dokumentation der Feldergebnisse der Erhebungswelle 8 in Kapitel 6. Kapitel 7 dieses Methodenberichts enthält eine detaillierte Beschreibung über den eingesetzten Interviewerstab und die Qualitätssicherung während der Feldphase.
Der vorliegende Methodenbericht enthält alle Schritte der Haupterhebung der Welle 8. Der Haupterhebung war ein gesonderter Pretest vorgeschaltet. Die Arbeiten und Ergebnisse dieses Pretests sind in einem Pretestbericht gesondert dokumentiert.
Neben der Durchführung der Felderhebungen hat das IAB infas mit der Datenaufbereitung und der Gewichtung beauftragt. Die weiteren Schritte für Datenaufbereitung und Gewichtung der Welle 8 werden im wellenspezifischen Datenreport ausführlich beschrieben und dokumentiert. Alle verwendeten Erhebungsmaterialien werden im gesonderten Anhang dokumentiert." (Autorenreferat, IAB-Doku) -
Literaturhinweis
Do interviewers manipulate responses to filter questions?: evidence from a multilevel approach (2015)
Zitatform
Kosyakova, Yuliya, Jan Skopek & Stephanie Eckman (2015): Do interviewers manipulate responses to filter questions? Evidence from a multilevel approach. In: International Journal of Public Opinion Research, Jg. 27, H. 3, S. 417-431., 2014-06-09. DOI:10.1093/ijpor/edu027
Abstract
"This study provides a theoretically guided analysis of how interviewers might manipulate responses to filter questions ('triggering rate') in interview surveys. Drawing on principal-agent theory, we particularly examined how triggering rate varies by survey mode and across the interviewer's experience. Using data from a German survey and multilevel models, we find that interviewers do influence filter questions. Most intriguingly, there is an interaction between mode and experience: with increasing experience interviewers in CATI mode (higher monitoring and hourly payment) tend to collect more positive answers to the filter questions, while interviewers in CAPI mode (lower monitoring and case-based payment) tend to collect fewer. Our results suggest that manipulative interview behavior regarding questionnaire filtering exists and varies across incentive structures." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
A note on improving process efficiency in panel surveys with paradata (2015)
Zitatform
Kreuter, Frauke & Gerrit Müller (2015): A note on improving process efficiency in panel surveys with paradata. In: Field Methods, Jg. 27, H. 1, S. 55-65., 2013-04-16. DOI:10.1177/1525822X14538205
Abstract
"Call scheduling is a challenge for surveys around the world. Unlike cross-sectional surveys, panel surveys are in the position to use information from prior waves to enhance call scheduling algorithms. Past observational studies showed the benefit of calling panel cases at times that had been successful in the past. This paper is the first to experimentally assign panel cases to previously beneficial call windows. The results from a large scale national survey in Germany show modest efficiency gains measured in number of call attempts needed until first contact, but no gains in efficiency to gain cooperation." (Author's abstract, IAB-Doku) ((en))
Beteiligte aus dem IAB
Müller, Gerrit; -
Literaturhinweis
Are incentive effects on response rates and nonresponse bias in large-scale, face-to-face surveys generalizable to Germany?: evidence from ten experiments (2015)
Pforr, Klaus ; Koch, Achim; Hajek, Kristin; Kroh, Martin ; Helmschrott, Susanne; Blohm, Michael; Kleinert, Corinna ; Erdel, Barbara; Rammstedt, Beatrice ; Fräßdorf, Mathis ; Trüdinger, Eva-Maria; Blom, Annelies G. ; Schmiedeberg, Claudia ; Krieger, Ulrich ; Saßenroth, Denise; Felderer, Barbara ; Martin, Silke;Zitatform
Pforr, Klaus, Michael Blohm, Annelies G. Blom, Barbara Erdel, Barbara Felderer, Mathis Fräßdorf, Kristin Hajek, Susanne Helmschrott, Corinna Kleinert, Achim Koch, Ulrich Krieger, Martin Kroh, Silke Martin, Denise Saßenroth, Claudia Schmiedeberg, Eva-Maria Trüdinger & Beatrice Rammstedt (2015): Are incentive effects on response rates and nonresponse bias in large-scale, face-to-face surveys generalizable to Germany? Evidence from ten experiments. In: Public Opinion Quarterly, Jg. 79, H. 3, S. 740-768., 2014-09-10. DOI:10.1093/poq/nfv014
Abstract
"In survey research, a consensus has grown regarding the effectiveness of incentives encouraging survey participation across different survey modes and target populations. Most of this research has been based on surveys from the United States, whereas few studies have provided evidence that these results can be generalized to other contexts. This paper is the first to present comprehensive information concerning the effects of incentives on response rates and nonresponse bias across large-scale surveys in Germany. The context could be viewed as a critical test for incentive effects because Germany's population is among the most survey-critical in the world, with very low response rates. Our results suggest positive incentive effects on response rates and patterns of effects that are similar to those in previous research: The effect increased with the monetary value of the incentive; cash incentives affected response propensity more strongly than lottery tickets do; and prepaid incentives could be more cost effective than conditional incentives. We found mixed results for the effects of incentives on nonresponse bias. Regarding large-scale panel surveys, we could not unequivocally confirm that incentives increased response rates in later panel waves." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Statistical modelling under epistemic data imprecision: Some results on estimating multinomial distributions and logistic regression for coarse categorical data (2015)
Zitatform
Plass, Julia, Thomas Augustin, Marco E. G. V. Cattaneo & Georg Schollmeyer (2015): Statistical modelling under epistemic data imprecision. Some results on estimating multinomial distributions and logistic regression for coarse categorical data. In: T. Augustin, S. Doria, E. Miranda & E. Quaeghebeur (Hrsg.) (2015): ISIPTA ¿15 Proceedings of the 9th International Symposium on Imprecise Probability : Theories and Applications, S. 247-256.
Abstract
"The paper deals with parameter estimation for categorical data under epistemic data imprecision, where for a part of the data only coarse(ned) versions of the true values are observable. For different observation models formalizing the information available on the coarsening process, we derive the (typically set-valued) maximum likelihood estimators of the underlying distributions. We discuss the homogeneous case of independent and identically distributed variables as well as logistic regression under a categorical covariate. We start with the imprecise point estimator under an observation model describing the coarsening process without any further assumptions. Then we determine several sensitivity parameters that allow the refinement of the estimators in the presence of auxiliary information." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Obtaining record linkage consent: results from a wording experiment in Germany (2015)
Zitatform
Sakshaug, Joseph, Stefanie Wolter & Frauke Kreuter (2015): Obtaining record linkage consent. Results from a wording experiment in Germany. In: Survey Methods: Insights from the Field H. 01.11.2015, S. 1-12., 2015-11-13. DOI:10.13094/SMIF-2015-00012
Abstract
"Many sample surveys ask respondents for consent to link their survey information with administrative sources. There is significant variation in how linkage requests are administered and little experimental evidence to suggest which approaches are useful for achieving high consent rates. A common approach is to emphasize the positive benefits of linkage to respondents. However, some evidence suggests that emphasizing the negative consequences of not consenting to linkage is a more effective strategy. To further examine this issue, we conducted a gain-loss framing experiment in which we emphasized the benefit (gain) of linking or the negative consequence (loss) of not linking one's data as it related to the usefulness of their survey responses. In addition, we explored a sunk-prospective costs rationale by varying the emphasis on response usefulness for responses that the respondent had already provided prior to the linkage request (sunk costs) and responses that would be provided after the linkage request (prospective costs). We found a significant interaction between gain-loss framing and the sunk-prospective costs rationale: respondents in the gain-framing condition consented to linkage at a higher rate than those in the loss-framing condition when response usefulness was emphasized for responses to subsequent survey items. Conversely, the opposite pattern was observed when response usefulness was emphasized for responses that had already been provided: loss-framing resulted in a higher consent rate than the gain-framing, but this result did not reach statistical significance." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
The effect of events between waves on panel attrition (2015)
Zitatform
Trappmann, Mark, Tobias Gramlich & Alexander Mosthaf (2015): The effect of events between waves on panel attrition. In: Survey research methods, Jg. 9, H. 1, S. 31-43., 2014-11-28. DOI:10.18148/srm/2015.v9i1.5849
Abstract
"Panel surveys suffer from attrition. Most panel studies use propensity models or weighting class approaches to correct for non-random dropout. These models draw on variables measured in a previous wave or from paradata of the study. While it is plausible that they affect contactability and cooperativeness, panel studies usually cannot assess the impact of events between waves on attrition. The amount of change in the population could be seriously underestimated if such events had an effect on participation in subsequent waves. The panel study PASS is a novel dataset for labour market and poverty research. In PASS, survey data on (un)employment histories, income and education of participants are linked to corresponding data from respondents' administrative records. Thus, change can be observed for attritors as well as for continued participants. These data are used to show that change in household composition, employment status or receipt of benefits has an influence on contact and cooperation rates in the following wave. A large part of the effect is due to lower contactability of households who moved. Nevertheless, this effect can lead to biased estimates for the amount of change. After applying the survey's longitudinal weights this bias is reduced, but not entirely eliminated." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
PASS-Befragungsdaten verknüpft mit administrativen Daten des IAB: (PASS-ADIAB) 1975-2011 (2014)
Zitatform
Antoni, Manfred & Arne Bethmann (2014): PASS-Befragungsdaten verknüpft mit administrativen Daten des IAB. (PASS-ADIAB) 1975-2011. (FDZ-Datenreport 03/2014), Nürnberg, 71 S.
Abstract
Dieser Datenreport beschreibt die verknüpften Daten des Panels "Arbeitsmarkt und soziale Sicherung" (PASS) mit administrativen Daten des Instituts für Arbeitsmarkt- und Berufsforschung (IAB).
Weiterführende Informationen
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Literaturhinweis
Who misreports welfare receipt in surveys? (2014)
Zitatform
Bruckmeier, Kerstin, Gerrit Müller & Regina T. Riphahn (2014): Who misreports welfare receipt in surveys? In: Applied Economics Letters, Jg. 21, H. 12, S. 812-816., 2013-12-16. DOI:10.1080/13504851.2013.877566
Abstract
We match survey and administrative data and determine the extent of misreporting on welfare receipt. In our data, 10.5 percent of German welfare recipients underreport and 1 percent overreport benefit receipt. The analysis shows that particularly households who are close to the labor market, without children, and with relatively high household incomes and savings are prone to underreport their welfare receipt. This information is important for the study of transfer programs based on survey data.
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Literaturhinweis
Beat the heap - an imputation strategy for valid inferences from rounded income data (2014)
Zitatform
Drechsler, Jörg & Hans Kiesl (2014): Beat the heap - an imputation strategy for valid inferences from rounded income data. (IAB-Discussion Paper 02/2014), Nürnberg, 26 S.
Abstract
"Befragungen zu Einkommensverhältnissen sind typischerweise von zwei Fehlerquellen betroffen, die zu Verzerrungen führen können, wenn sie bei der Analyse nicht berücksichtigt werden: Auf der einen Seite gilt das Einkommen als sensible Information und die Antwortraten zum Einkommen liegen in der Regel niedriger als Antwortraten bei anderen nicht sensiblen Fragen. Auf der anderen Seiten können sich die Befragten in aller Regel nicht genau an ihr exaktes Einkommen erinnern und geben daher einen gerundeten Wert an. Die negativen Auswirkungen des Antwortausfalls sind bereits gründlich untersucht worden und die meisten datenbereitstellenden Institutionen haben bereits Imputationsmethoden implementiert um möglichen Verzerrungen durch den Ausfall entegegenzuwirken. Im Gegensatz dazu werden die Auswirkungen des Rundens nach unserer Kenntnis bisher in der Praxis weitestgehend vernachlässigt, obwohl etliche Studien deutlich gezeigt haben, dass die meisten Befragten Ihrer Einkommensangaben runden. In diesem Papier veranschaulichen wir den starken Einfluss, den dieses Runden auf wichtige Kennziffern wie die Armutsquote haben kann. Um unverzerrte Schätzergebnisse zu erhalten, stellen wir ein zweistufiges Imputationsverfahren vor, bei dem in einem ersten Schritt gegeben das beobachtete Einkommen die a posteriori Wahrscheinlichkeit zu Runden geschätzt wird. In einem zweiten Schritt wird dann das tatsächliche Einkommen unter den bestimmten Rundungswahrscheinlichkeiten imputiert. Anhand einer Simulationsstudie illustrieren wir, dass es mit diesem Verfahren möglich ist, unverzerrte Schätzergebnisse zu gewinnen. Darüber hinaus präsentieren wir Ergebnisse auf Basis der IAB Längsschnittstudie 'Panel Arbeitsmarkt und Soziale Sicherung (PASS)'." (Autorenreferat, IAB-Doku)
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Literaturhinweis
Dependent interviewing and sub-optimal responding (2014)
Zitatform
Eggs, Johannes & Annette Jäckle (2014): Dependent interviewing and sub-optimal responding. (ISER working paper 2014-32), Colchester, 26 S.
Abstract
"With proactive dependent interviewing respondents are reminded of the answer they gave in the previous interview, before being asked about their current status. We examine the risk that respondents falsely confirm the answers from the previous interview as still applying, using data from a panel survey in which preload data about receipt of welfare benefit contained errors. A large proportion of respondents confirmed the false preload. Respondents with a more complex history of receipt, according to linked administrative records, were more likely to confirm. Personality also seemed to matter. Predictors of satisficing and characteristics of the survey and interviewer were not predictive of confirming the false preload." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Measurement error for welfare receipt and its impact on fixed-effects models (2014)
Eggs, Johannes;Zitatform
Eggs, Johannes (2014): Measurement error for welfare receipt and its impact on fixed-effects models. In: Statistics Canada (Hrsg.) (2014): Beyond traditional survey taking : adapting to a changing world. Proceedings of Statistics Canada Symposium 2014, S. 1-7.
Abstract
"Measurement error is one source of bias in statistical analysis. However, its possible implications are mostly ignored. One class of models that can be especially affected by measurement error are fixed-effects models. By validating the survey response of five panel survey waves for welfare receipt with register data, the size and form of longitudinal measurement error can be determined. It is shown, that the measurement error for welfare receipt is serially correlated and non-differential. However, when estimating the coefficients of longitudinal fixed effect models of welfare receipt on subjective health for men and women, the coefficients are biased only for the male subpopulation." (Author's abstract, IAB-Doku) ((en))
Weiterführende Informationen
Program and proceedings -
Literaturhinweis
A note on mechanisms leading to lower data quality of late or reluctant respondents (2014)
Zitatform
Kreuter, Frauke, Gerrit Müller & Mark Trappmann (2014): A note on mechanisms leading to lower data quality of late or reluctant respondents. In: Sociological Methods and Research, Jg. 43, H. 3, S. 452-464., 2013-08-07. DOI:10.1177/0049124113508094
Abstract
"Survey methodologists worry about trade-offs between nonresponse and measurement error. Past findings indicate that respondents brought into the survey late provide low-quality data. The diminished data quality is often attributed to lack of motivation. Quality is often measured through internal indicators and rarely through true scores. Using administrative data for validation purposes, this article documents increased measurement error as a function of recruitment effort for a large-scale employment survey in Germany. In this case study, the reduction in measurement quality of an important target variable is largely caused by differential measurement error in subpopulations and respective shifts in sample composition, as well as increased cognitive burden through the increased length of recall periods among later respondents. Only small portions of the relationship could be attributed to a lack of motivation among late or reluctant respondents." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
The 2010 PASS interviewer survey: collecting data for research into interviewer effects (2014)
Zitatform
Kreuter, Frauke, Joseph Sakshaug & Mark Trappmann (2014): The 2010 PASS interviewer survey. Collecting data for research into interviewer effects. (FDZ-Methodenreport 02/2014 (en)), Nürnberg, 92 S.
Abstract
"Dieser Methodenreport dokumentiert eine PASS-Interviewerbefragung, die im November 2010 durchgeführt wurde. Insgesamt 253 Interviewer, die an Welle 4 oder 5 der PASS-Datenerhebung beteiligt waren, nahmen an dem Websurvey teil und beantworteten Fragen zu ihrer Persönlichkeit und Motivation, zu Einstellungen und zur Vorgehensweise bei ihrer Arbeit. Der Report stellt dar, warum die Befragung durchgeführt wurde, gibt einen Überblick über das Surveydesign, dokumentiert das Erhebungsinstrument und stellt deskriptive Ergebnisse dar." (Autorenreferat, IAB-Doku)
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Literaturhinweis
A study of assimilation bias in name-based sampling of migrants (2014)
Zitatform
Schnell, Rainer, Mark Trappmann & Tobias Gramlich (2014): A study of assimilation bias in name-based sampling of migrants. In: Journal of official statistics, Jg. 30, H. 2, S. 231-249., 2013-11-07. DOI:10.2478/jos-2014-0015
Abstract
The use of personal names for screening is an increasingly popular sampling technique for migrant populations. Although this is often an effective sampling procedure, very little is known about the properties of this method. Based on a large German survey, this article compares characteristics of respondents whose names have correctly been classified as belonging to a migrant population with respondents, that are migrants and whose names have not been classified as belonging to a migrant population. Although significant differences with large effect sizes in some cases could be found, the overall bias introduced by name-based sampling seems to be small as long as procedures with a small false-negative rate are used.
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Literaturhinweis
Which is the better investment for nonresponse adjustment: purchasing commercial auxiliary data or collecting interviewer observations? (2014)
Zitatform
Sinibaldi, Jennifer, Mark Trappmann & Frauke Kreuter (2014): Which is the better investment for nonresponse adjustment. Purchasing commercial auxiliary data or collecting interviewer observations? In: Public Opinion Quarterly, Jg. 78, H. 2, S. 440-473., 2013-10-16. DOI:10.1093/poq/nfu003
Abstract
"Survey methodologists are searching for covariates to use in nonresponse adjustment models, ultimately hoping to find variables that are highly correlated with both the outcome of interest and the propensity to respond. These covariates can come from auxiliary data that provide information on both respondents and nonrespondents. Two such types of auxiliary data are interviewer observations (a form of paradata) and commercially available data on small areas or households. Interviewer observations intended for use in nonresponse adjustment can be specifically designed to match the outcome variables of interest while commercial data provide a broad set of small area descriptors that may be correlated with multiple outcomes. This analysis examines these two data sources to determine which is more predictive of the outcomes of interest for a particular survey, thereby fulfilling one of the criteria for a good adjustment variable. The outcomes of interest in this analysis are self-reports of household income and receipt of unemployment benefits from a survey of labor market participation. The findings suggest that at this point in time interviewer observations are better at predicting these outcomes, compared to commercial data, particularly in the subpopulation that the survey targets. Therefore, the observations share more (accurate) information with the true value, making them better for adjustment on this dimension. The results will inform both researchers wishing to improve their nonresponse adjustments and survey managers looking to make better use of the survey budget." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Introducing Adaptive Design Elements in the Panel Study "Labour Market and Social Security" (PASS) (2014)
Zitatform
Trappmann, Mark & Gerrit Müller (2014): Introducing Adaptive Design Elements in the Panel Study "Labour Market and Social Security" (PASS). In: Statistics Canada (Hrsg.) (2014): Beyond traditional survey taking: adapting to a changing world : Proceedings of Statistics Canada Symposium 2014, S. 1-7.
Abstract
"This article gives an overview of adaptive design elements introduced to the PASS panel survey in waves four to seven. The main focus is on experimental interventions in later phases of the fieldwork. These interventions aim at balancing the sample by prioritizing low-propensity sample members. In wave 7, interviewers received a double premium for completion of interviews with low-propensity cases in the final phase of the fieldwork. This premium was restricted to a random half of the cases with low estimated response propensity and no final status after four months of prior fieldwork. This incentive was effective in increasing interviewer effort, however, led to no significant increase in response rates." (Author's abstract, IAB-Doku) ((en))
Weiterführende Informationen
Program and proceedings -
Literaturhinweis
Vorbereitende Forschung für die zweite Evaluationsrunde Mindestlöhne: Erschließung neuer Datenquellen (2014)
Zitatform
Vom Berge, Philipp, Hans Verbeek, Matthias Umkehrer, Michael Fertig & Stefan Bender (2014): Vorbereitende Forschung für die zweite Evaluationsrunde Mindestlöhne. Erschließung neuer Datenquellen. (FDZ-Methodenreport 03/2014 (de)), Nürnberg, 131 S.
Abstract
"Dieser Methodenreport erfasst und untersucht systematisch den aktuell vorhandenen Datenbestand in Deutschland und seine Eignung für die Untersuchung von branchenspezifischen Mindestlohnregelungen nach dem Arbeitnehmer-Entsendegesetz (AEntG). Ziel ist es neue Datenquellen für die Evaluation zu erschließen, das Analysepotenzial von bereits für die Evaluation genutzten Datenquellen zu bewerten und mögliche Erweiterungs- bzw. Verbesserungsvorschläge herauszuarbeiten. Wir kommen zu dem Ergebnis, dass es zwar nicht einen allumfassenden Datensatz für die Evaluation von branchenspezifischen Mindestlöhnen in Deutschland gibt, die existierenden Datensätze insgesamt jedoch eine ausreichende Basis für eine Evaluation darstellen, sofern sie sinnvoll miteinander kombiniert werden (dürfen)." (Autorenreferat, IAB-Doku)
Weiterführende Informationen
Anhang -
Literaturhinweis
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)
Zitatform
West, Brady T., Frauke Kreuter & Mark Trappmann (2014): Is the collection of interviewer observations worthwhile in an economic panel survey? New evidence from the German Labor Market and Social Security (PASS) Study. In: Journal of Survey Statistics and Methodology, Jg. 2, H. 2, S. 159-181., 2013-12-30. DOI:10.1093/jssam/smu002
Abstract
"While interviewer observations have good potential as auxiliary sources of information on key survey variables, questions about their quality temper enthusiasm for their use in survey estimation and responsive survey design. This study considers the utility of two interviewer observations (household income and household receipt of unemployment benefits) collected in a panel survey: the German Labor Market and Social Security (PASS) study. We find that the ability of the interviewer observations to accurately indicate these household features is not as high as that of prior-wave survey reports on these features, but that the observations do tend to capture accurate information for households with changing socio-economic status over time (where prior-wave reports may be inconsistent with current-wave reports). The observations add modest predictive power to models for key survey variables that also account for survey reports on related variables in prior waves, but this predictive power may be limited by relatively high error rates and variance in observation quality among interviewers. Finally, estimates based on panel households only improve slightly when including the observations in nonresponse adjustments, which is likely due to the inability of the observations to also predict response propensity (given a relatively low attrition rate for the panel households). Implications for practice and directions for future research in this area are discussed in conclusion." (Author's abstract, IAB-Doku) ((en))
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Literaturhinweis
Modeling call record data: examples from cross-sectional and longitudinal surveys (2013)
Durrant, Gabriele B.; D'Arrigo, Julia; Müller, Gerrit;Zitatform
Durrant, Gabriele B., Julia D'Arrigo & Gerrit Müller (2013): Modeling call record data. Examples from cross-sectional and longitudinal surveys. In: F. Kreuter (Hrsg.) (2013): Improving surveys with paradata : analytic uses of process information, S. 281-308, 2013-04-08.
Abstract
"In face-to-face surveys, often employing a multistage sampling design, clustering due to both interviewers and areas (such as primary sampling units, PSUs) may occur. This chapter focuses on call record data for both face-to-face and telephone interview surveys. The implementation of the methods are illustrated using two example datasets, the UK Census link study dataset, including several UK face-to-face cross-sectional household surveys, and the German PASS longitudinal survey (Panel Study 'Labour Market and Social Security'). For the latter example, the telephone component will be analyzed. The remainder of the chapter is structured as follows. Section 12.2 describes type and structure of call record data. Different modeling approaches are presented in Section 12.3, outlining the multilevel modeling framework. In Section 12.4, the implementation of the methods is illustrated based on two examples. Concluding remarks are made in the final section." (Text excerpt, IAB-Doku) ((en))
Beteiligte aus dem IAB
Müller, Gerrit;