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Against the Clock : = Uncovering Diurnal Time Interval Decision Differences during Tornado Warnings for Lower Mississippi Valley Residents.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Against the Clock :/
Reminder of title:	Uncovering Diurnal Time Interval Decision Differences during Tornado Warnings for Lower Mississippi Valley Residents.
Author:	Wooten, Stephen Holden.
Description:	1 online resource (85 pages)
Notes:	Source: Masters Abstracts International, Volume: 83-12.
Contained By:	Masters Abstracts International83-12.
Subject:	Atmospheric sciences. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29063018click for full text (PQDT)
ISBN:	9798802701300

Against the Clock : = Uncovering Diurnal Time Interval Decision Differences during Tornado Warnings for Lower Mississippi Valley Residents.
Wooten, Stephen Holden.

Against the Clock :Uncovering Diurnal Time Interval Decision Differences during Tornado Warnings for Lower Mississippi Valley Residents. - 1 online resource (85 pages)

Source: Masters Abstracts International, Volume: 83-12.

Thesis (M.S.)--Mississippi State University, 2022.

Includes bibliographical references

With a higher number of nocturnal tornado events, I surveyed residents of Alabama, Arkansas, Kentucky, Mississippi, and Tennessee (N = 487 for each sample) to determine the time, in minutes, it took to reach a decision on shelter-seeking. I utilized latent class analysis (LCA) to create class memberships, based on diurnal and nocturnal scenarios, to associate with time intervals. Four actors were identified for each scenario: Tech Users, Typical Actors, Non-Reactors, and Social Actors for the day sample, Tech Users, Typical Actors, Passive Actors, and Non-Reactors for the night sample. Time intervals were created and applied to each class. All class assignments except one, Traditional Actors in the night sample, used more time than allotted in an average tornado warning lead time (~15 minutes). Future studies may be necessary to determine a reduction in time needed for decision-making, such as establishing the most impactful warning sources.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798802701300Subjects--Topical Terms:

3168354
Atmospheric sciences.
Subjects--Index Terms:

Latent class analysisIndex Terms--Genre/Form:

542853
Electronic books.

Against the Clock : = Uncovering Diurnal Time Interval Decision Differences during Tornado Warnings for Lower Mississippi Valley Residents.
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100 1 $a Wooten, Stephen Holden. $3 3693453
245 1 0 $a Against the Clock : $b Uncovering Diurnal Time Interval Decision Differences during Tornado Warnings for Lower Mississippi Valley Residents.
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300 $a 1 online resource (85 pages)
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338 $a online resource $b cr $2 rdacarrier
500 $a Source: Masters Abstracts International, Volume: 83-12.
500 $a Advisor: Sherman-Morris, Kathleen.
502 $a Thesis (M.S.)--Mississippi State University, 2022.
504 $a Includes bibliographical references
520 $a With a higher number of nocturnal tornado events, I surveyed residents of Alabama, Arkansas, Kentucky, Mississippi, and Tennessee (N = 487 for each sample) to determine the time, in minutes, it took to reach a decision on shelter-seeking. I utilized latent class analysis (LCA) to create class memberships, based on diurnal and nocturnal scenarios, to associate with time intervals. Four actors were identified for each scenario: Tech Users, Typical Actors, Non-Reactors, and Social Actors for the day sample, Tech Users, Typical Actors, Passive Actors, and Non-Reactors for the night sample. Time intervals were created and applied to each class. All class assignments except one, Traditional Actors in the night sample, used more time than allotted in an average tornado warning lead time (~15 minutes). Future studies may be necessary to determine a reduction in time needed for decision-making, such as establishing the most impactful warning sources.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
650 4 $a Atmospheric sciences. $3 3168354
653 $a Latent class analysis
653 $a Shelter-seeking patterns
653 $a Time intervals
653 $a Tornadoes
655 7 $a Electronic books. $2 lcsh $3 542853
690 $a 0725
710 2 $a ProQuest Information and Learning Co. $3 783688
710 2 $a Mississippi State University. $b Geosciences. $3 1018556
773 0 $t Masters Abstracts International $g 83-12.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29063018 $z click for full text (PQDT)