Suchergebnisse

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.

"As survey researchers have begun exploiting paradata - for example, for the correction of nonresponse bias - the quality of these data has come into question. Inaccurate information is likely to affect the resulting statistics and conclusions drawn from such data. This paper focuses on one type of paradata, observations made by interviewers during the data-collection process, and assesses the quality of these observations by examining their measurement error properties. The analysis uses the UK Census Nonresponse Link Study, which links interviewers' observations collected on six major UK surveys with Census data. Comparing five interviewer observations with self-reports from the Census, the accuracy of the observations for both respondents and nonrespondents to the surveys is evaluated. A multilevel modeling approach is used to explore under which conditions the interviewers' observations match the reports on the Census forms, accounting for the clustering of sample members within interviewers and areas. The analysis finds that the overall percent agreement between the observations and the Census is generally high, ranging from 87 to 98 percent. The type of housing structure and the final result code are significantly associated with measurement error. For four of the five observations, there is evidence that the interviewer significantly influences the level of measurement error, even after controlling for household, interviewer, and area characteristics. The results presented here will inform future analyses assessing the quality of interviewers' observations." (Author's abstract, IAB-Doku) ((en))

Im Fachbereich für Politik- und Verwaltungswissenschaft der Universität Konstanz haben im Zeitraum von 1973 bis 1998 insgesamt rund 3.000 Studierende ihr Examen abgelegt. Diese bilden die Ausgangspopulation einer Absolventenstudie, aus welcher ausgewählte Ergebnisse vorgestellt werden. Im Rahmen einer schriftlichen Befragung wurden u.a. Daten zu Zusatzqualifikationen und Tätigkeiten während des Studiums, zum Übergang zwischen Studium und Beruf, zur ersten beruflichen Tätigkeit sowie zum Nutzen des Studiums für die derzeitige berufliche Tätigkeit erhoben. Die Autoren untersuchen den Effekt der unabhängigen Variablen auf die Übergangswahrscheinlichkeit in den Beruf mit Hilfe einer Cox-Regression und stellen im Ergebnis fest, dass die allgemeinen und unspezifischen Zusatzqualifikationen den Übergang zum ersten Arbeitsplatz kaum beschleunigen. Die Arbeitssuche der Konstanzer Absolventen der Verwaltungswissenschaften wird vielmehr durch spezifische Kenntnisse aus Praktika oder studienbezogener Berufstätigkeit (z.B. als wissenschaftliche Hilfskraft) sowie durch Kontakte zu potenziellen Arbeitgebern erleichtert. Eine Umstrukturierung von Fachbereichen ohne konkrete inhaltliche Veränderungen des zu vermittelnden Ausbildungsprofils ist vor diesem Hintergrund nach Meinung der Autoren weniger sinnvoll. (ICI)

Verlagsbeschreibung: Dieses Buch bietet eine Einführung in das Datenanalysepaket Stata und ist zugleich das einzige Buch über Stata, das auch Anfängern eine ausreichende Erklärung statistischer Verfahren liefert. "Datenanalyse mit Stata" ist kein Befehls-Handbuch sondern erläutert alle Schritte einer Datenanalyse an praktischen Beispielen. Damit eignet sich diese Buch als Einstieg in Data Analytics in allen Disziplinen. Die neue Auflage bietet einen systematischeren Zugang zum Datenmanagement in Gegenwart von "Missing Values" und behandelt die in der Stata-Programmversion 14 implementierte Unicode-Codierung.

Abstract
Audio computer-assisted self-interviewing (ACASI) has been widely used to collect sensitive information from respondents in face-to-face interviews. Interviewers ask questions that are not sensitive or only moderately sensitive and then allow respondents to self-administer more sensitive questions, listening to audio recordings of the questions and typically entering their responses directly into the same device that the interviewer has used. According to the conventional thinking, ACASI is taken as independent of the face-to-face interaction that almost always precedes it. Presumably as a result of this presumed independence, the respondents' prior interaction with the interviewer is rarely considered when assessing the quality of ACASI responses. There is no body of existing research that has experimentally investigated how the preceding interviewer–respondent interaction may create sufficient social presence to affect responses in the subsequent ACASI module. The study reported here, a laboratory experiment with eight professional interviewers and 125 respondents, explores the carryover effects of preceding interactions between interviewer and respondent on responses in the subsequent ACASI. We evaluated the impact of the similarity of the live and recorded interviewer's voice for each respondent as well as respondents' rapport with interviewers in the preceding interview. We did not find significant main effects of vocal similarity on disclosure in ACASI. However, we found significant interaction effects between vocal similarity and respondents' rapport ratings in the preceding interview on disclosure in ACASI. When the ACASI voice was similar to the interviewer's voice in the preceding interaction, respondent-rated rapport led to more disclosure but, when the ACASI voice is clearly different from the interviewer's voice, respondent-rated rapport in the prior interaction did not affect disclosure.

Abstract
Interviewer-respondent rapport is generally considered to be beneficial for the quality of the data collected in survey interviews; however, the relationship between rapport and data quality has rarely been directly investigated. We conducted a laboratory experiment in which eight professional interviewers interviewed 125 respondents to see how the rapport between interviewers and respondents is associated with the quality of data—primarily disclosure of sensitive information—collected in these interviews. It is possible that increased rapport between interviewers and respondents might motivate respondents to be more conscientious, increasing disclosure; alternatively, increased rapport might inhibit disclosure because presenting oneself unfavorably is more aversive if respondents have a positive relationship with the interviewer. More specifically, we examined three issues: (1) what the relationship is between rapport and the disclosure of information of varying levels of sensitivity, (2) how rapport is associated with item nonresponse, and (3) whether rapport can be similarly established in video-mediated and computer-assisted personal interviews (CAPIs). We found that (1) increased respondents' sense of rapport increased disclosure for questions that are highly sensitive compared with questions about topics of moderate sensitivity; (2) increased respondents' sense of rapport is not associated with a higher level of item nonresponse; and (3) there was no significant difference in respondents' rapport ratings between video-mediated and CAPI, suggesting that rapport is just as well established in video-mediated interviews as it is in CAPI.