Capturing Individuals' Uncertainties–On Establishing the Validity of an Interval-Valued Survey Response Mode

09/16/2020
by   Zack Ellerby, et al.
0

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.

READ FULL TEXT
research
11/21/2019

Interval-Valued Kriging Models for Geostatistical Mapping with Imprecise Inputs

Many geosciences data are imprecise due to various limitations and uncer...
research
04/14/2008

On central tendency and dispersion measures for intervals and hypercubes

The uncertainty or the variability of the data may be treated by conside...
research
04/15/2021

Towards Handling Uncertainty-at-Source in AI – A Review and Next Steps for Interval Regression

Most of statistics and AI draw insights through modelling discord or var...
research
09/30/2019

Exploring how Component Factors and their Uncertainty Affect Judgements of Risk in Cyber-Security

Subjective judgements from experts provide essential information when as...
research
06/26/2023

FeedbackMap: a tool for making sense of open-ended survey responses

Analyzing open-ended survey responses is a crucial yet challenging task ...
research
03/11/2020

A variability measure for estimates of parameters in interval data fitting

The paper presents a construction of a quantitative measure of variabili...
research
12/22/2022

Response to Moffat's Comment on "Towards Meaningful Statements in IR Evaluation: Mapping Evaluation Measures to Interval Scales"

Moffat recently commented on our previous work. Our work focused on how ...

Please sign up or login with your details

Forgot password? Click here to reset