English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Obtaining quantitative survey responses that are both accurate andinformative is crucial to a wide range of fields. Traditional and ubiquitousresponse formats such as Likert and Visual Analogue Scales require condensationof responses into discrete point values - but sometimes a range of options maybetter represent the correct answer. In this paper, we propose an efficientinterval-valued response mode, whereby responses are made by marking an ellipsealong a continuous scale. We discuss its potential to capture and quantifyvaluable information that would be lost using conventional approaches, whilepreserving a high degree of response-efficiency. The information captured bythe response interval may represent a possible response range - i.e., aconjunctive set, such as the real numbers between three and six. Alternatively,it may reflect uncertainty in respect to a distinct response - i.e., adisjunctive set, such as a confidence interval. We then report a validationstudy, utilizing our recently introduced open-source software (DECSYS) toexplore how interval-valued survey responses reflect experimental manipulationsof several factors hypothesised to influence interval width, across multiplecontexts. Results consistently indicate that respondents used interval widthseffectively, and subjective participant feedback was also positive. We presentthis as initial empirical evidence for the efficacy and value ofinterval-valued response capture. Interestingly, our results also provideinsight into respondents' reasoning about the different aforementioned types ofintervals - we replicate a tendency towards overconfidence for thoserepresenting epistemic uncertainty (i.e., disjunctive sets), but find intervalsrepresenting inherent range (i.e., conjunctive sets) to be well-calibrated.

Capturing Richer Information -- On Establishing the Validity of an Interval-Valued Survey Response Mode