Investigating Delay in Health Related Decision Making Versus Non-Health Decision Making

Health and non-health decision domains were examined to explore the differences in decision domain and delay preferences. Using an existing cognitive theory of delay (Bastardi & Shafir, 1998; Tykocinski & Ruffle, 2003), type of scenario (health vs. nonhealth) was manipulated within subjects with participants receiving three scenarios of each type. Certainty (certain vs. uncertain) and delay choice condition (no delay, delay, one-week delay) were manipulated between subjects. This resulted in a 2 (health) X 2 (certainty) X 3 (delay choice) split-plot factorial design. The dependent measure was the proportion of action responses (deciding to change status quo) across the three scenarios. More people made active decisions in health related decisions than in non-health related decisions (p & .001). When given the opportunity to delay, significantly less people chose to make an active decision (p & .001) regardless of decision domain. There was no significant difference in the amount of delay (one day or one week).

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Publication Details

Journal
ODU Digital Commons (Old Dominion University)
Published
2024-10-30
DOI
https://doi.org/10.25776/q71m-2h76
Primary Topic
Species Distribution and Climate Change
Type
article
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article

Investigating Delay in Health Related Decision Making Versus Non-Health Decision Making

ODU Digital Commons (Old Dominion University)
Species Distribution and Climate Change
article

Investigating Delay in Health Related Decision Making Versus Non-Health Decision Making

article en

Abstract

Health and non-health decision domains were examined to explore the differences in decision domain and delay preferences. Using an existing cognitive theory of delay (Bastardi & Shafir, 1998; Tykocinski & Ruffle, 2003), type of scenario (health vs. nonhealth) was manipulated within subjects with participants receiving three scenarios of each type. Certainty (certain vs. uncertain) and delay choice condition (no delay, delay, one-week delay) were manipulated between subjects. This resulted in a 2 (health) X 2 (certainty) X 3 (delay choice) split-plot factorial design. The dependent measure was the proportion of action responses (deciding to change status quo) across the three scenarios. More people made active decisions in health related decisions than in non-health related decisions (p & .001). When given the opportunity to delay, significantly less people chose to make an active decision (p & .001) regardless of decision domain. There was no significant difference in the amount of delay (one day or one week).

ODU Digital Commons (Old Dominion University)
Dominion University College (GH), Old Dominion University (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 73%
Species Distribution and Climate Change
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