Experiment A from "Neglect at Your Own Risk: Evidence on Risk-Taking Prevalence and Motives from the Field"

Last registered on July 13, 2026

Pre-Trial

Trial Information

General Information

Title
Experiment A from "Neglect at Your Own Risk: Evidence on Risk-Taking Prevalence and Motives from the Field"
RCT ID
AEARCTR-0019138
Initial registration date
July 08, 2026

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
July 13, 2026, 7:51 AM EDT

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Locations

Region

Primary Investigator

Affiliation

Other Primary Investigator(s)

PI Affiliation
Oberlin College

Additional Trial Information

Status
On going
Start date
2026-07-06
End date
2026-07-18
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Experiment A is part of a larger project studying risky choice in GoalQuest, an employee rewards program in which workers choose one of three increasingly ambitious performance goals paired with increasingly valuable all-or-nothing rewards. The broader paper uses field data from GoalQuest to document excess conservative choice and choice heterogeneity, and develops a mechanism in which people evaluate nested risky options through pairwise comparisons while neglecting the relevant conditional probabilities. Experiment A addresses a key conceptual step in the project: whether behavior in a stylized GoalQuest menu resembles behavior in economically equivalent lottery menus, and whether conservative choice changes when the relevant pairwise conditional probabilities are made salient. The primary outcome is conservative choice, defined as selecting Option 1 or Option 2 rather than Option 3, which is the expected-value-maximizing option. Secondary outcomes include conditional-probability beliefs, reported decision processes, and gender differences in conservative choice.
External Link(s)

Registration Citation

Citation
Bhargava, Saurabh and Timothy Hyde. 2026. "Experiment A from "Neglect at Your Own Risk: Evidence on Risk-Taking Prevalence and Motives from the Field"." AEA RCT Registry. July 13. https://doi.org/10.1257/rct.19138-1.0
Experimental Details

Interventions

Intervention(s)
Participants complete an online survey in which they are introduced to one of four versions of a nested risky-choice problem. All versions present a menu of three options with increasing rewards and decreasing chances of earning the reward. The economic structure is held constant across the GoalQuest and RewardQuest conditions: Option 1 has the lowest reward and highest chance of success, Option 2 has an intermediate reward and chance of success, and Option 3 has the highest reward and lowest chance of success. The menu is calibrated so that Option 3 maximizes expected value.
The four experimental conditions are:
GoalQuest: Participants choose one sales goal from a menu of three goals. Each goal has a reward and a stated chance of being achieved.
RewardQuest: Participants choose one reward from an explicit lottery menu. RewardQuest points are determined by a random draw from 1 to 100, and the participant earns the selected reward if the points meet the selected reward threshold.
Incentivized RewardQuest: Participants make the same RewardQuest choice, but the selected reward may be implemented for real bonus payment. If the participant's coin flip is Heads, the displayed reward is converted to a bonus at 0.5 cents per $1 of displayed reward. If the coin flip is Tails, the participant receives no additional bonus from the RewardQuest choice.
Incentivized RewardQuest with pairwise information: Participants make an incentivized RewardQuest choice with the same bonus procedure and with additional pairwise conditional-probability information that makes the nested lottery structure more salient.
All conditions include instruction screens, comprehension questions, a choice menu, belief elicitation, process measures, demographic items, and feedback opportunities.
Intervention Start Date
2026-07-09
Intervention End Date
2026-07-16

Primary Outcomes

Primary Outcomes (end points)
The primary outcome is conservative choice. Conservative choice equals 1 if the participant selects Option 1 or Option 2 and equals 0 if the participant selects Option 3. Option 3 is the expected-value-maximizing option in the experimental menu. We will report conservative choice shares by condition and estimate differences across the main adjacent condition comparisons.
The main condition comparisons are:
Condition 1 vs. Condition 2: GoalQuest vs. RewardQuest.
Condition 2 vs. Condition 3: hypothetical RewardQuest vs. incentivized RewardQuest.
Condition 3 vs. Condition 4: incentivized RewardQuest vs. incentivized RewardQuest with pairwise information.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
1) Choice distribution: The share choosing Option 1, Option 2, and Option 3 in each condition.
2) Beliefs: Participants' reported conditional-probability beliefs about the chances of also reaching the next higher threshold conditional on reaching the lower threshold. The two main belief measures are the perceived chance of reaching/earning Option 2 conditional on reaching/earning Option 1, and the perceived chance of reaching/earning Option 3 conditional on reaching/earning Option 2.
3) Belief accuracy: Differences between reported beliefs and the Bayesian conditional probabilities implied by the menu. The relevant benchmark probabilities are approximately 89 percent for Option 2 conditional on Option 1 and 88 percent for Option 3 conditional on Option 2.
4) Process measures: Responses to process questions and open-ended text about how participants made their choices, especially whether they report making pairwise comparisons between options.
5) Gender differences: Conservative choice differences by gender, overall and by condition.
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
The study is an individually randomized online experiment. Eligible participants are randomly assigned to one of four conditions with approximately equal probability. Each participant sees only one condition.
Experimental design details
Participants first provide consent and confirm eligibility. They then receive condition-specific instructions and comprehension questions. Participants who answer the first comprehension question correctly proceed to the choice task; participants who miss the first comprehension question receive a second comprehension question before proceeding. The main analysis includes all valid completed responses regardless of comprehension status. Robustness analyses restrict the sample to participants who answer both comprehension questions correctly, and separately to participants who answer at least one comprehension question correctly.
After making a choice, participants report beliefs about conditional probabilities, answer process questions or provide open-ended decision explanations, and complete demographic and feedback items. In the incentivized conditions, bonus eligibility and bonus amounts are determined according to the coin-flip and exchange-rate procedure described to participants.
Experimental Design Details
Not available
Randomization Method
Randomization will be implemented by the survey platform / Qualtrics randomizer, with approximately equal allocation across the four conditions. The unit of randomization is the individual participant.
Randomization Unit
Individual participant
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
The target sample is 1,200 valid completed responses, with 300 participants per condition. The final sample may differ modestly due to platform availability, exclusions for invalid submissions, or budget constraints.
Sample size: planned number of observations
The target sample is 1,200 valid completed responses, with 300 participants per condition. The final sample may differ modestly due to platform availability, exclusions for invalid submissions, or budget constraints.
Sample size (or number of clusters) by treatment arms
300 / condition
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
With approximately 300 participants per condition, the study is powered to detect moderate differences in conservative choice shares. For a baseline conservative-choice rate around 65 to 70 percent, 300 participants per condition provides roughly 77 percent power to detect a 10 percentage-point difference and near-complete power to detect differences of 15 percentage points or larger. The study is not designed to precisely reject very small differences of approximately 5 percentage points.
IRB

Institutional Review Boards (IRBs)

IRB Name
Oberlin College IRB
IRB Approval Date
2026-06-30
IRB Approval Number
AY25-26-TH-01
Analysis Plan

Analysis Plan Documents

Experiment A - Analysis Plan

MD5: bf7c1c2f1d68e66f7b628cbedb14b40c

SHA1: c0093d5547790c86965e45f826f7967b34142000

Uploaded At: July 08, 2026