@inproceedings{6ebd4cfc30a04c4c989581715071e00a,
title = "Survey sidekick: Structuring scientifically sound surveys",
abstract = "Online surveys are becoming more popular as a means of information gathering in both academia and industry because of their relatively low cost and delivery. However, there are increasing debates on data quality in online surveys. We present a novel survey prototyping tool that integrates embedded learning resources to facilitate the survey prototyping process and encourage creating scientifically sound surveys. Results from a controlled pilot study confirmed that survey structure follows three guided principles: simple-first, structure-coherent and gradual-difficulty-increase, revealing positive effects on survey structures under learning resources influences.",
keywords = "Hidden Markov Model, Ill-defined domain, Survey Design",
author = "Ihan Hsiao and Shuguang Han and Manav Malhotra and Chae, {Hui Soo} and Gary Natriello",
year = "2014",
doi = "10.1007/978-3-319-07221-0_65",
language = "English (US)",
isbn = "9783319072203",
volume = "8474 LNCS",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "516--522",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
note = "12th International Conference on Intelligent Tutoring Systems, ITS 2014 ; Conference date: 05-06-2014 Through 09-06-2014",
}