Army Aviation Scenarios

Abstract

The Army Aviation Scenarios (AAS) instrument is a specialized psychological assessment tool designed by David R. Hunter and John E. Stewart in 2009. It utilizes a series of ten realistic, high-fidelity operational scenarios drawn from Army Aviation contexts to measure critical cognitive and attitudinal factors in aviators. Following each scenario, participants complete 17 items that assess their Locus of Control (global and specific dimensions), Perceived Risk, and Self-Serving Bias. The scale is integral to understanding how aviators attribute outcomes (internal vs. external factors) and perceive hazards during complex decision-making processes, particularly under stress.

Keywords

Aviation Safety, Locus of Control, Risk Perception, Self-Serving Bias, Decision Making, Army Aviators, Cockpit Resource Management, Multi-Dimensional Locus of Control, Human Factors.

Authors

David R. Hunter, John E. Stewart

Purpose

The primary purpose of the Army Aviation Scenarios instrument is to provide a context-specific measure of psychological variables that influence safety-related behavior and decision making in military aviation. By presenting participants with detailed, high-stakes operational situations, the instrument seeks to elicit realistic responses regarding causal attributions for success or failure, personal assessments of risk, and self-efficacy compared to peers. The results are used to identify potential cognitive biases, such as the Self-Serving Bias, where individuals overestimate their own competence or control, which is a significant factor in Aviation Psychology research.

This measurement approach moves beyond generalized personality inventories by embedding the assessment within challenging, relevant flight environments, allowing researchers to explore the dynamic relationship between situational factors and the aviator’s internal psychological orientation. The goal is ultimately to enhance training protocols and selection processes for U.S. Army Aviators.

Construct

The AAS is designed to measure four principal psychological constructs, primarily focused on attribution theory and risk assessment in the context of flight operations:

  • Self-Serving Bias (SSB): Measured by comparing the participant’s perceived ability to handle the situation (Q1) against the perceived risk to themselves versus a typical peer (Q14 vs. Q15, Q16 vs. Q17). A high SSB suggests an individual believes they are significantly more capable or less vulnerable than their peers.
  • Global Locus of Control: Assessed through items determining the extent to which the outcome of the scenario would be determined by the participant’s personal skills, knowledge, and abilities (Q2 and Q3). This measures the general belief in personal agency over environmental forces.
  • Multi-Dimensional Locus of Control (M-LOC): This detailed assessment breaks down causal attributions across specific factors, including internal factors (e.g., airmanship, determination, crew management skills) and external factors (e.g., luck, weather changes, actions by others). This provides a nuanced understanding of where aviators place responsibility for mission outcomes (Q4-Q13).
  • Perceived Risk: Measured by asking participants to rate the inherent risk of the scenario both for themselves and for a typical unit aviator, as well as the likelihood of successful mission completion (Q14-Q17). This captures objective risk assessment alongside comparative risk judgment.

Validity

While the source material does not provide specific coefficients (e.g., Cronbach’s alpha or factor loadings), the validity of the Army Aviation Scenarios rests on its strong foundation in content and criterion validity. The scenarios themselves were developed to be realistic and challenging operational vignettes, ensuring high content validity for the target population (military aviators). The constructs measured—Locus of Control, Self-Serving Bias, and Risk Perception—are well-established in Aviation Psychology research, linking the scale’s outcomes to known predictors of safe flight behavior and decision-making.

The scale was used as part of a larger study exploring the relationship between these psychological variables and actual decision-making behaviors, suggesting its utility in predicting operational outcomes. The instrument’s use in conjunction with other established measures (such as the Army Locus of Control Scale and Army Safety Attitudes Scale) further supports its construct validity within the domain of military aviation human factors research.

Reliability

Specific reliability metrics (such as internal consistency across the 17 items or test-retest reliability across the 10 scenarios) are typically detailed in the associated technical report (Hunter & Stewart, 2009). The structured, standardized presentation of the ten scenarios, coupled with the consistent application of the 17-item response battery, suggests that the instrument is designed for high consistency. The multi-dimensional nature of the LOC scale allows for reliable subscale scoring related to specific attribution categories (e.g., internal skill vs. external luck).

Factor Analysis

The design of the 17 items suggests an inherent factor structure corresponding to the four target constructs: Self-Serving Bias (comparative judgment items), Global LOC (general control items), Multi-Dimensional LOC (specific attribution items), and Perceived Risk (risk rating and success likelihood items). A factor analysis, if performed on the data collected using these scenarios, would typically aim to confirm the separation of internal control factors (e.g., airmanship, crew management) from external factors (e.g., weather, luck, others’ actions) within the M-LOC structure, validating the multi-dimensional framework utilized by the authors.

Instrument

Test Type: Situational Judgment Test / Psychological Assessment Scale

Format: Ten narrative scenarios, each followed by 17 structured questions utilizing 5-point Likert scales and 10-point rating scales.

Language Available: English

Population Group: Military Personnel (Aviators)

Age Group: Adult (Specific age range determined by active military aviator demographics)

Population Details: U.S. Army Aviators (Pilots in Command and crew members).

Test Methodology: Participants read one scenario at a time and respond to 17 items that assess their attribution style, perceived risk, and comparative judgment regarding their performance as the Pilot in Command (PIC).

Keywords

Pilot Attitude, Crew Resource Management, Attribution Theory, Aviation Safety Research, Helicopter Operations, Military Flight, Locus of Control, Risk Tolerance, David R. Hunter.

Authors

Author ORCID Identifier: Not provided in source content.

Affiliation Email addresses: [email protected] (Affiliation noted in 2009 research context, likely Federal Aviation Administration or related research institute).

Correspondence Address: Not provided in source content.

Permissions & Fee and Test Year

The Army Aviation Scenarios instrument was developed and published in 2009 as part of research conducted for the United States Army Research Institute for the Behavioral and Social Sciences. The instrument and its use are documented in the associated technical report, “Locus of Control, Risk Orientation, and Decision Making Among U.S. Army Aviators.” The instrument is publicly accessible for research purposes via the Defense Technical Information Center (DTIC). The full instrument can be found at the following DTIC link: www.dtic.mil/cgi-bin/GetTRDoc?AD=ADA509824.

Reference’s

The following references are associated with the development and use of the Army Aviation Scenarios and related scales developed by the primary author:

  • David R. Hunter, John E. Stewart (2009). Locus of Control, Risk Orientation, and Decision Making Among U.S. Army Aviators. United States Army Research Institute for the Behavioral and Social Sciences.
  • Hunter, D.R. (2006). Risk perception among general aviation pilots. International Journal of Aviation Psychology, 16, 135-144.
  • Hunter, D.R. (2004). Measurement of hazardous attitudes among pilots. International Journal of Aviation Psychology, 15, 23-43.
  • Hunter, D. R. (2002). Risk perception and risk tolerance in aircraft pilots (Report DOT/FAA/AM–02/17). Washington, DC: Federal Aviation Administration.
  • Hunter, D. R. (2002). Development of an aviation safety locus of control scale. Aviation, Space, and Environmental Medicine, 73, 1184-1188.
  • Hunter, D.R. (1995). Airman research questionnaire: Methodology and overall results. DOT/FAA/AM-95/27. Washington, DC: Federal Aviation Administration.

Items of the Army Aviation Scenarios

IMPORTANT: The following scale items must be preserved in their original language and must not be changed in any way.

Army Aviation Scenarios

Situation 1:

While on a single-ship resupply mission to an outpost located in a mountainous region deteriorating weather conditions reduce horizontal visibility to less than one mile, making recognition of landmarks and location of the outpost difficult. GPS is unserviceable on this aircraft, forcing the crew to rely upon visual navigation. After an extensive search, the crew locates the outpost and begins their approach. However, as they descend toward the LZ which is on the side of a steep hill, high winds blow clouds across their flight path and they lose sight of the LZ and visual contact with the ground.

Situation 2:

The crew is the second ship of a three-ship formation. They are heavily loaded with troops and supplies and are performing a combat assault into a long, but narrow LZ, surrounded by tall trees. Because of the layout of the LZ, the lead ship directs the formation into trail as they line up for approach. There has been frequent enemy contact in this area, and the previous flight earlier in the day received light enemy automatic weapons fire as they were on final, descending through 200 feet. No one was injured, however one of the aircraft suffered slight damage with several rounds passing through the tail section. All the crews are very alert and ready for action, and the lead passes the word to keep the formation tight so they can provide mutually-supportive covering fire. The initial approach is uneventful, however just as the lead ship begins to flare for landing, a flock of large birds, frightened by the noise and rotor wash, erupts from the trees on the right and head across the LZ, directly into the path of the lead ship. In response, the lead ship flares abruptly, and the second ship must take extreme action to avoid a mid-air collision.

Situation 3:

The unit maintenance officer has asked the crew to fly one of the aircraft back to the depot for some maintenance that cannot be performed at the field site. The crew chief has noticed a slight elevation in the oil temperature over the last several flights and the maintenance officer thinks a more detailed inspection of the engine may be required. There is a layer of low clouds along the route of flight extending from about 400 AGL to 5,000 MSL. Therefore, the PC elects to fly VFR on top. Approximately 40 minutes into the 75 minute flight they notice that the engine oil temperature has risen and is now just below the red line. They have also begun to notice a slight vibration and the crew chief reports a high-pitched whine coming from the area of the engine deck. The nearest airfield with an instrument approach is 35 minutes away.

Situation 4:

Following an uncontained engine failure which resulted in the loss of both engines, the crew makes a successful emergency landing in a small clearing on the top of one of the many steep hills in this area. The crew exit the aircraft with only minor injuries before it is consumed by a post-crash fire. They have only the minimum survival equipment and no radio. Weather conditions are deteriorating, the temperature is 25 degrees F., and low clouds with possible snow are moving into the area, which may seriously delay the search by rescue aircraft. There are numerous small bands of hostile combatants known to inhabit the area, and the nearest friendly force is 15 KM away.

Situation 5:

The crew is conducting a routine VIP flight from your home airfield to another airfield about 150 miles away. Weather was forecast to be marginal VFR or IMC along the route of flight, so they have filed an instrument flight plan and are now cruising at 6,000 feet in the clouds. They expect to ex‎ecute an ILS approach upon your arrival. Current conditions at the destination are 600 foot ceiling, and 1 mile visibility, with winds out of the east at 12 kts. The CP has been flying in the unit for about a year, and is fully qualified. There are no indications of mechanical malfunctions in the aircraft.

Situation 6:

While flying a routine day mission in good weather, the #2 engine chip light flashes on then off, then repeats 30 seconds later. The crew identifies a good emergency landing area and begins the proper emergency procedure to land. Just before landing, a crewmember reports a fire in the #2 engine.

Situation 7:

A crew receives a mission change with a request to locate and attempt to recover a downed UAV. The crew hovers at 30 feet, slowly moving across an area of mixed sparse vegetation and loose sand. After about 20 minutes of searching the crew notice the downed UAV lying on the ground in a cleared area. As they hover over next to the UAV to recover it, the aircraft enters brown out conditions and all visual contact with the ground is lost.

Situation 8:

You are flying through areas of marginal visibility at 500 feet, under a 600 foot ceiling while the CP is performing navigation and radio comms duties. You glance down to check the engine instruments for a moment, and then hear the CP cry out, “Tower ahead”. You look up to see that you are headed directly toward a radio/TV antenna approximately 300 meters directly ahead. The top of antenna is in the clouds, and supporting guy wires can barely been seen spreading out to either side. You immediately begin an abrupt evasive maneuver.

Situation 9:

You come to a hover at approximately 60 feet over a confined area barely able to accommodate your aircraft. You begin to slowly maneuver downward into the landing area, using guidance from the CP, and your crew chief. At approximately 40 feet the crew chief yells, “Don’t come back”, just as you hear a loud bang, and the aircraft begins to spin rapidly to the right.

Situation 10:

It is 0200 hours when the crew is called for an urgent MEDEVAC mission for a seriously wounded Soldier at a forward base. The sky is clear, and there is a full moon providing excellent illumination of the countryside. As they arrive at the pickup location in the center of a shallow valley, they find that a layer of fog has formed in the valley, with the tops at around 800 feet AGL. Troops on the ground report that they can see the moon, and that there is no fog at the ground level. Anxious to extract the wounded Soldier, the crew lines up with the long axis of the valley and begins a slow descent into the fog, expecting to break out before reaching ground level. As they enter the fog forward visibility is reduced to zero.

The 17 Questions Followed Each of the Ten Scenarios:

Self-Serving Bias Item:

  1. Compared to other pilots you know, how well would you be able to handle this situation if you were the pilot in command?

    • a. Much better than most
    • b. Better than most
    • c. About the same
    • d. A little worse than most
    • e. Much worse than most

Global Locus of Control Items:

  1. How strongly do you agree or disagree with the following statement: If I were the pilot in command in this situation, the outcome would be determined by my personal skills, knowledge, and abilities.

    • a. Strongly agree
    • b. Agree
    • c. Neither agree nor disagree
    • d. Disagree
    • e. Strongly disagree
  2. On the scale of 1 to 10, how much of the outcome in this situation would be under your personal control?

    Response Scale: 1 – Almost none, 2, 3, 4, 5, 6, 7, 8, 9, 10 – Almost all

Multi-Dimensional Locus of Control (M-LOC) Items:

On the scale of 1 to 10 (1 – Almost none to 10 – Almost all), how much of the outcome in this situation would be determined by:

  1. Luck?
  2. Others (enemy, ground troops, other aircraft crews)?
  3. Your personal knowledge and skills?
  4. Your attitudes?
  5. Your determination?
  6. Your professionalism?
  7. Your airmanship?
  8. Your crew management skills?
  9. Your crewmembers’ performance?
  10. Changes in weather?

Perceived Risk and Success Likelihood Items:

Questions 14 and 15 use the scale: 1 – Very little risk, 2, 3, 4, 5, 6, 7, 8, 9, 10 – Very high risk.

  1. On the scale of 1 to 10, if you were placed in this situation tomorrow (as PC), how risky do you think it would be?
  2. If a typical Aviator from your unit were placed in this situation tomorrow (as PC), how risky do you think it would be?

Questions 16 and 17 use the scale: 1 – Very unlikely, 2, 3, 4, 5, 6, 7, 8, 9, 10 – Highly likely.

  1. How likely is it that you would be able to complete this mission successfully and without an incident/accident?
  2. How likely is it that the typical Aviator from your unit would be able to complete this mission successfully and without an incident/accident?

Cite this article

Mohammed looti (2025). Army Aviation Scenarios. Psychological Scales & Instruments Database. Retrieved from https://db.arabpsychology.com/scales/army-aviation-scenarios/

Mohammed looti. "Army Aviation Scenarios." Psychological Scales & Instruments Database, 18 Oct. 2025, https://db.arabpsychology.com/scales/army-aviation-scenarios/.

Mohammed looti. "Army Aviation Scenarios." Psychological Scales & Instruments Database, 2025. https://db.arabpsychology.com/scales/army-aviation-scenarios/.

Mohammed looti (2025) 'Army Aviation Scenarios', Psychological Scales & Instruments Database. Available at: https://db.arabpsychology.com/scales/army-aviation-scenarios/.

[1] Mohammed looti, "Army Aviation Scenarios," Psychological Scales & Instruments Database, vol. X, no. Y, ص Z-Z, October, 2025.

Mohammed looti. Army Aviation Scenarios. Psychological Scales & Instruments Database. 2025;vol(issue):pages.

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