Identifiable Victim Effect in Teen Giving

ISEF Category: Behavioral and Social Sciences

Subcategory: Social Psychology  ·  Difficulty: Intermediate  ·  Setup: Home Setup  ·  Time: 1 to 2 Months

The Hook

A single named face can pull more money than a crowd of strangers. That pattern is called the identifiable victim effect. You can test it with a web task where teens split a hypothetical donation budget across victim profiles that change only in identifiability. The result shows how empathy changes choices.

What Is It?

The identifiable victim effect means people often give more help when they can picture one specific person. A name, a photo, or a short story makes the need feel concrete, like a classmate asking for help instead of a spreadsheet of missing funds.

In your project, identifiability is the part you change while the need stays the same. One vignette may show only a label, another may add a face, and a third may add a few personal details. If allocations rise as the person becomes more concrete, you have a measurable sign of the effect.

Why This Is a Good Topic

This makes a strong science fair topic because you can test a real social bias with a clean web survey. The main question is simple, but the design still teaches you random assignment, control groups, and basic statistics. It also connects to fundraising, nonprofit messaging, disaster appeals, and the way people respond to real-world help requests.

Research Questions

• How does adding a name change the amount teens allocate in a hypothetical donation task?
• What is the effect of adding a photo on teen donation choices when the need and budget stay the same?
• Does a short personal story increase allocations more than a name alone?
• To what extent does identifiability change responses when the cause is health aid versus disaster aid?
• Which cue, name, photo, or story, produces the largest shift in teen allocations?
• How does identifiability affect the chance that a student gives the maximum amount in a choice set?

Basic Materials

• Laptop or desktop computer with a web browser.
• Google Forms, Qualtrics, or another survey platform.
• Google Sheets or Excel for randomization and data cleanup.
• AI image generator or a set of approved public-domain images.
• Spreadsheet template for tracking conditions and responses.
• Consent and assent forms approved by your teacher or school review process.

Advanced Materials

• Qualtrics with block randomization.
• REDCap or another secure survey system.
• R or Python for multivariable analysis.
• University subject pool access for a larger teen sample.
• Image editing software for controlled vignette mockups.

Software & Tools

• Google Forms: Collects allocations and randomizes simple versions of the task.
• Google Sheets: Tracks conditions, cleans response data, and builds basic charts.
• R: Runs group comparisons, regression models, and effect size calculations.
• jamovi: Gives a point-and-click path for t-tests, ANOVA, and simple regressions.

Experiment Steps

1. Define the one identifiability cue you will test first, such as name, photo, or story.
2. Write one base victim scenario and keep the need, budget, and outcome identical across every version.
3. Plan how participants will be assigned to conditions so each person sees a balanced set or only one version.
4. Choose your outcome measure, such as allocation amount, willingness to donate, or rank order of help choices.
5. Set your controls for cause type, emotional tone, and visual layout so the cue is the main difference.
6. Prewrite your analysis plan, including your comparison groups, exclusion rules, and the statistical test you will use.

Common Pitfalls

• Changing the wording across vignettes, which makes it impossible to tell whether identifiability or phrasing drove the result.
• Using photos that differ in age, race, or expression, which adds extra cues beyond the one you meant to test.
• Letting one condition describe a worse need than another, which confuses perceived urgency with identifiability.
• Showing every participant the same order of stories, which can make the later choices look smaller or bigger for the wrong reason.
• Reporting only the average allocation, which can hide a small subgroup effect or a skewed response pattern.

What Makes This Competitive

A strong version separates the cue from the story itself, so name, photo, and personal detail each get tested on their own. It also looks beyond one average and checks effect size, confidence intervals, and whether the result changes by cause type or student traits. If you compare AI-generated vignettes with carefully matched human-written versions, your design gets even sharper. That level of control and analysis is what makes the project feel research-grade.

Project Variations

• Compare name only, photo only, and story only to see which cue shifts teen giving most.
• Test whether identifiability has a larger effect for health aid than for disaster relief.
• Swap money for volunteer time and check whether the same pattern appears in help choices.

Learn More

• PubMed: Search review articles on the identifiable victim effect, empathy, and charitable giving.
• NIH RePORTER: Look for funded studies on prosocial behavior and adolescent decision-making.
• Google Scholar: Search the exact phrase identifiable victim effect plus charitable giving or donation behavior.
• MIT OpenCourseWare: Find free lecture material on social psychology, experimental design, and statistics.
• Personality and Social Psychology Bulletin: Search for peer-reviewed articles on empathy, helping, and donation choice.