Research Data

Data sets for: Design of Paper-Based Visual Analogue Scale Items

Author(s) / Creator(s)

Weigl, Klemens
Forstner, Thomas

Other kind(s) of contributor

Forstner, Thomas

Abstract / Description

Data sets for: Weigl, K., & Forstner, T. (2020). Design of Paper-Based Visual Analogue Scale Items. Educational and Psychological Measurement, 1-17. https://doi.org/10.1177/0013164420952118.
Paper-based visual analogue scales (VAS) items were developed 100 years ago. Although they gained great popularity in clinical and medical research for assessing pain, they have been scarcely applied in other areas of psychological research for several decades. However, since the beginning of digitization, VAS have attracted growing interest among researchers for carrying out computerized and paper-based data assessments. In the present study, we investigated the research question which different design characteristics of paper-based VAS items are preferred by women and men. Based on a sample of 115 participants (68 female), our results revealed that the respondents preferred a paper-based VAS item with a horizontal, 8 cm long, 3 DTP („data point“) wide, black line, with flat line endpoints, and the ascending numerical anchors “0” and “10”, both for women and men. Although we did not identify any gender difference in these characteristics, our findings uncovered clear preferences on how to design paper-based VAS items.

Persistent Identifier

Date of first publication

2020-08-03

Publisher

PsychArchives

Is referenced by

Citation

Weigl, K., & Forstner, T. (2020). Data sets for: Design of Paper-Based Visual Analogue Scale Items [Data set]. PsychArchives. https://doi.org/10.23668/PSYCHARCHIVES.3151
  • Author(s) / Creator(s)
    Weigl, Klemens
  • Author(s) / Creator(s)
    Forstner, Thomas
  • Other kind(s) of contributor
    Forstner, Thomas
  • PsychArchives acquisition timestamp
    2020-08-03T12:38:10Z
  • Made available on
    2020-08-03T12:38:10Z
  • Date of first publication
    2020-08-03
  • Abstract / Description
    Data sets for: Weigl, K., & Forstner, T. (2020). Design of Paper-Based Visual Analogue Scale Items. Educational and Psychological Measurement, 1-17. https://doi.org/10.1177/0013164420952118.
    en
  • Abstract / Description
    Paper-based visual analogue scales (VAS) items were developed 100 years ago. Although they gained great popularity in clinical and medical research for assessing pain, they have been scarcely applied in other areas of psychological research for several decades. However, since the beginning of digitization, VAS have attracted growing interest among researchers for carrying out computerized and paper-based data assessments. In the present study, we investigated the research question which different design characteristics of paper-based VAS items are preferred by women and men. Based on a sample of 115 participants (68 female), our results revealed that the respondents preferred a paper-based VAS item with a horizontal, 8 cm long, 3 DTP („data point“) wide, black line, with flat line endpoints, and the ascending numerical anchors “0” and “10”, both for women and men. Although we did not identify any gender difference in these characteristics, our findings uncovered clear preferences on how to design paper-based VAS items.
    en
  • Review status
    unknown
    en
  • Citation
    Weigl, K., & Forstner, T. (2020). Data sets for: Design of Paper-Based Visual Analogue Scale Items [Data set]. PsychArchives. https://doi.org/10.23668/PSYCHARCHIVES.3151
    en
  • Persistent Identifier
    https://hdl.handle.net/20.500.12034/2767
  • Persistent Identifier
    https://doi.org/10.23668/psycharchives.3151
  • Language of content
    eng
  • Publisher
    PsychArchives
    en
  • Is referenced by
    https://doi.org/10.1177/0013164420952118
  • Is related to
    https://doi.org/10.1177/0013164420952118
  • Is related to
    https://doi.org/10.17605/OSF.IO/3P8GY
  • Dewey Decimal Classification number(s)
    150
  • Title
    Data sets for: Design of Paper-Based Visual Analogue Scale Items
    en
  • DRO type
    researchData
    en