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https://doi.org/10.15465/gesis-sg_037

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Web Paradata in Survey Research (Version 1.0)

Web-Paradaten in der Umfrageforschung
[working paper]

Kunz, Tanja
Hadler, Patricia

Corporate Editor
GESIS - Leibniz-Institut für Sozialwissenschaften

Abstract

Paradata are information about the primary survey data collection process. This guide is intended for survey practitioners who want to collect and use paradata in web surveys. The guideline focuses on a typology and possible applications of web paradata and practical implications regarding the colle... view more

Paradata are information about the primary survey data collection process. This guide is intended for survey practitioners who want to collect and use paradata in web surveys. The guideline focuses on a typology and possible applications of web paradata and practical implications regarding the collection, post-processing, and documentation of web paradata.... view less


Paradaten sind Informationen über den Erhebungsprozess von Umfragedaten. Dieser Leitfaden richtet sich an Umfragepraktiker, die Paradaten in Online-Umfragen erheben und auswerten möchten. Der Leitfaden konzentriert sich dabei auf die Typologie und mögliche Anwendungen von Web-Paradaten und praktisch... view more

Paradaten sind Informationen über den Erhebungsprozess von Umfragedaten. Dieser Leitfaden richtet sich an Umfragepraktiker, die Paradaten in Online-Umfragen erheben und auswerten möchten. Der Leitfaden konzentriert sich dabei auf die Typologie und mögliche Anwendungen von Web-Paradaten und praktische Implikationen hinsichtlich der Sammlung, Nachbearbeitung und Dokumentation von Web-Paradaten.... view less

Keywords
personal data; questionnaire; online survey; Internet; survey research; data capture

Classification
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods

Document language
English

Publication Year
2020

City
Mannheim

Page/Pages
24 p.

Series
GESIS Survey Guidelines

Status
Published Version; peer reviewed

Licence
Creative Commons - Attribution-NonCommercial 4.0


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© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.