Sampling error and other statistical problems with query-based situation awareness measures

Steven J. Landry; Hyo Sang Yoo

doi:10.1177/1071181312561068

Sampling error and other statistical problems with query-based situation awareness measures

Steven J. Landry, Hyo Sang Yoo

Marcus Department of Industrial and Manufacturing Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

An analysis of query-based measures for situation awareness was conducted, focusing on the effect of sampling from among the population of possible queries and the assumption that all queries are equally likely to be answered correctly across the population of participants. The analysis, which utilized Monte Carlo simulations, demonstrate that sampling from among the possible queries reduces the power of statistical tests, and the assumption of equal likelihood may result in a misleading portrayal of the results.

Original language	English (US)
Title of host publication	Proceedings of the Human Factors and Ergonomics Society 56th Annual Meeting, HFES 2012
Pages	292-296
Number of pages	5
DOIs	https://doi.org/10.1177/1071181312561068
State	Published - 2012
Event	Proceedings of the Human Factors and Ergonomics Society 56th Annual Meeting, HFES 2012 - Boston, MA, United States Duration: Oct 22 2012 → Oct 26 2012

Publication series

Name	Proceedings of the Human Factors and Ergonomics Society
ISSN (Print)	1071-1813

Other

Other	Proceedings of the Human Factors and Ergonomics Society 56th Annual Meeting, HFES 2012
Country/Territory	United States
City	Boston, MA
Period	10/22/12 → 10/26/12

All Science Journal Classification (ASJC) codes

Human Factors and Ergonomics

Access to Document

10.1177/1071181312561068

Cite this

@inproceedings{e342bf677e35453fabe4d1ce722bb85b,

title = "Sampling error and other statistical problems with query-based situation awareness measures",

abstract = "An analysis of query-based measures for situation awareness was conducted, focusing on the effect of sampling from among the population of possible queries and the assumption that all queries are equally likely to be answered correctly across the population of participants. The analysis, which utilized Monte Carlo simulations, demonstrate that sampling from among the possible queries reduces the power of statistical tests, and the assumption of equal likelihood may result in a misleading portrayal of the results.",

author = "Landry, {Steven J.} and Yoo, {Hyo Sang}",

note = "Copyright: Copyright 2013 Elsevier B.V., All rights reserved.; Proceedings of the Human Factors and Ergonomics Society 56th Annual Meeting, HFES 2012 ; Conference date: 22-10-2012 Through 26-10-2012",

year = "2012",

doi = "10.1177/1071181312561068",

language = "English (US)",

isbn = "9780945289418",

series = "Proceedings of the Human Factors and Ergonomics Society",

pages = "292--296",

booktitle = "Proceedings of the Human Factors and Ergonomics Society 56th Annual Meeting, HFES 2012",

}

Landry, SJ & Yoo, HS 2012, Sampling error and other statistical problems with query-based situation awareness measures. in Proceedings of the Human Factors and Ergonomics Society 56th Annual Meeting, HFES 2012. Proceedings of the Human Factors and Ergonomics Society, pp. 292-296, Proceedings of the Human Factors and Ergonomics Society 56th Annual Meeting, HFES 2012, Boston, MA, United States, 10/22/12. https://doi.org/10.1177/1071181312561068

Sampling error and other statistical problems with query-based situation awareness measures. / Landry, Steven J.; Yoo, Hyo Sang.
Proceedings of the Human Factors and Ergonomics Society 56th Annual Meeting, HFES 2012. 2012. p. 292-296 (Proceedings of the Human Factors and Ergonomics Society).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Sampling error and other statistical problems with query-based situation awareness measures

AU - Landry, Steven J.

AU - Yoo, Hyo Sang

PY - 2012

Y1 - 2012

N2 - An analysis of query-based measures for situation awareness was conducted, focusing on the effect of sampling from among the population of possible queries and the assumption that all queries are equally likely to be answered correctly across the population of participants. The analysis, which utilized Monte Carlo simulations, demonstrate that sampling from among the possible queries reduces the power of statistical tests, and the assumption of equal likelihood may result in a misleading portrayal of the results.

AB - An analysis of query-based measures for situation awareness was conducted, focusing on the effect of sampling from among the population of possible queries and the assumption that all queries are equally likely to be answered correctly across the population of participants. The analysis, which utilized Monte Carlo simulations, demonstrate that sampling from among the possible queries reduces the power of statistical tests, and the assumption of equal likelihood may result in a misleading portrayal of the results.

UR - http://www.scopus.com/inward/record.url?scp=84873433468&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84873433468&partnerID=8YFLogxK

U2 - 10.1177/1071181312561068

DO - 10.1177/1071181312561068

M3 - Conference contribution

AN - SCOPUS:84873433468

SN - 9780945289418

T3 - Proceedings of the Human Factors and Ergonomics Society

SP - 292

EP - 296

BT - Proceedings of the Human Factors and Ergonomics Society 56th Annual Meeting, HFES 2012

T2 - Proceedings of the Human Factors and Ergonomics Society 56th Annual Meeting, HFES 2012

Y2 - 22 October 2012 through 26 October 2012

ER -

Sampling error and other statistical problems with query-based situation awareness measures

Abstract

Publication series

Other

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this