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https://doi.org/10.13094/SMIF-2016-00002

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Web survey experiments on fully balanced, minimally balanced and unbalanced rating scales

[Zeitschriftenartikel]

Liu, Mingnan
Cho, Sarah

Abstract

When asking attitudinal questions with dichotomous and mutually exclusive response options, the questions can be presented in one of three ways: a full balanced question, a minimally balanced question, and an unbalanced question. Although previous research has compared the fully vs. minimally bala... mehr

When asking attitudinal questions with dichotomous and mutually exclusive response options, the questions can be presented in one of three ways: a full balanced question, a minimally balanced question, and an unbalanced question. Although previous research has compared the fully vs. minimally balanced rating scales, as far as we know, these three types of rating scales have not been tested in a strict experimental setting. In this study, we report two web survey experiments testing these three types of rating scales among 16 different questions. Different from most previous studies, this study used visual display only without any auditory component. Overall, the univariate distributions across these three scale balancing types are very similar to one another. Similar patterns are found when breaking down the analysis by respondent’s education level.... weniger

Thesaurusschlagwörter
Antwortverhalten; Experiment; Online-Befragung; Entwicklung; Umfrageforschung; Ratingskala; Fragebogen

Klassifikation
Erhebungstechniken und Analysetechniken der Sozialwissenschaften

Sprache Dokument
Englisch

Publikationsjahr
2016

Seitenangabe
10 S.

Zeitschriftentitel
Survey Methods: Insights from the Field (2016)

ISSN
2296-4754

Status
Veröffentlichungsversion; begutachtet (peer reviewed)

Lizenz
Creative Commons - Namensnennung, Nicht kommerz., Keine Bearbeitung


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