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Interval-Valued Kriging Models for Geostatistical Mapping with Imprecise Inputs
Many geosciences data are imprecise due to various limitations and uncer...
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On central tendency and dispersion measures for intervals and hypercubes
The uncertainty or the variability of the data may be treated by conside...
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Exploring how Component Factors and their Uncertainty Affect Judgements of Risk in Cyber-Security
Subjective judgements from experts provide essential information when as...
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A variability measure for estimates of parameters in interval data fitting
The paper presents a construction of a quantitative measure of variabili...
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Measuring religious morality using very limited poll responses: Implementing "big-data analytics" to small data
Opinion polls remain among the most efficient and widespread methods to ...
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Empirical Decision Rules for Improving the Uncertainty Reporting of Small Sample System Usability Scale Scores
The System Usability Scale (SUS) is a short, survey-based approach used ...
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Contribution of Interval Linear Algebra to the Ongoing Discussions on Multiple Breath Washout Test
In the paper the interval least squares approach to estimate/fit data wi...
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Capturing Individuals' Uncertainties–On Establishing the Validity of an Interval-Valued Survey Response Mode
Obtaining quantitative survey responses that are both accurate and informative is crucial to a wide range of fields (e.g. perceptual and categorical judgement, expert risk assessment, attitudinal measurement, consumer and public opinion research). Traditional and ubiquitous response formats such as Likert and Visual Analogue Scales require condensation of responses into discrete or point values-but sometimes a range of options may better represent the correct answer. In this paper, we propose an efficient interval-valued response mode, whereby responses are made by marking an ellipse along a continuous scale. We discuss its potential in the context of survey research, describing how this approach can capture and quantify valuable information arising from multiple sources of response uncertainty-which would be lost using conventional approaches–while preserving a high degree of response-efficiency. We then report a validation study, which utilizes our recently introduced open-source software (DECSYS) to administer an electronic interval-valued survey. This is designed to explore how interval-values reflect experimental manipulations of response (un)certainty across multiple contexts. Results consistently indicated that respondents used interval widths effectively-to communicate uncertainty (e.g. lack of available information), ambiguity (e.g. lack of clarity in question phrasing), and inherent variability in their responses. Subjective participant feedback was also positive. We present this as initial empirical evidence for the efficacy and value of interval-valued response capture. Interestingly, intervals also provided insight into respondents' reasoning about different types of uncertainties, suggesting a tendency to underestimate lack of available information relative to observable variability when making a stimulus judgement.
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