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https://doi.org/10.15465/gesis-sg_en_042

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Sample Size Calculation For Complex Sampling Designs (Version 1.0)

Fallzahlplanung für komplexe Stichprobendesigns
[working paper]

Felderer, Barbara
Sand, Matthias
Bruch, Christian

Corporate Editor
GESIS - Leibniz-Institut für Sozialwissenschaften

Abstract

Before conducting a survey, researchers frequently ask themselves how large the resulting sample of respondents needs to be to answer their research questions. In this guideline, we discuss how sample size calculation is affected by the sampling design. We give practical advice on how to conduct sam... view more

Before conducting a survey, researchers frequently ask themselves how large the resulting sample of respondents needs to be to answer their research questions. In this guideline, we discuss how sample size calculation is affected by the sampling design. We give practical advice on how to conduct sample size calculation for complex samples.... view less


Bevor eine Umfrage durchgeführt wird, stellen sich Forscher häufig die Frage, wie groß die Stichprobe der Befragten sein muss, um ihre Forschungsfragen zu beantworten. In diesem Leitfaden wird erörtert, wie die Berechnung des Stichprobenumfangs durch das Stichprobendesign beeinflusst wird. Wir geben... view more

Bevor eine Umfrage durchgeführt wird, stellen sich Forscher häufig die Frage, wie groß die Stichprobe der Befragten sein muss, um ihre Forschungsfragen zu beantworten. In diesem Leitfaden wird erörtert, wie die Berechnung des Stichprobenumfangs durch das Stichprobendesign beeinflusst wird. Wir geben praktische Ratschläge, wie der Stichprobenumfang für komplexe Stichproben berechnet werden kann.... view less

Keywords
survey research; sample

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

Document language
English

Publication Year
2022

City
Mannheim

Page/Pages
8 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.