EXPORTS.md

Exports Guide (ibe-pp)

This note explains the key fields you’ll see in CSV/Excel exports from the demo sessions and how to interpret them in class.

Common fields

• session_code, participant_code: Internal identifiers for linking records.
• app_name, round_number, page_name: Where a row came from.
• payoff: Participant payoff in the app (points or currency units).

Classic/Policy Games

• Prisoner’s Dilemma: cooperate (True/False), payoff.
• Trust (simple/framed): sent_amount, sent_back_amount, payoff.
• Dictator (norms): kept (amount P1 kept), payoff.
• Public Goods (base/defaults): contribution, group totals (if included), payoff.

Interpretation tips

• Trust: reciprocity shows in sent_back_amount relative to sent_amount×multiplier.
• Public Goods: highlight total vs. private trade-off driving payoff.
• Dictator: distribution between P1 and P2 indicates fairness preferences; note framing.

Survey Biases (policy_survey_biases)

• Overconfidence (90% CI): oc1_low, oc1_high, oc2_low, oc2_high, oc3_low, oc3_high.
  • In class: discuss calibration by checking how often intervals would contain the true value (avoid revealing “correct” answers live).
• Overplacement: self_rank_policy_knowledge (1–7).
  • In class: look at distribution vs. mid-point 4.
• Confirmation: agree_statement_before, agree_statement_after (1–7).
  • In class: look at whether responses moved after the snippet; both change and no-change are informative.
• Availability: recall_event (free text), priority_energy, priority_public_health (1–7).
  • In class: discuss how salient events might shift priorities.

Exporting with bots (optional)

• Use Make targets to run bots and then export from the admin. For quick bot runs:
  • make otree-test-classic
  • make otree-test-policy
  • make otree-test-anchoring
  • make otree-test-survey

Notes

• Avoid showing “correct” answers for overconfidence during class; focus on calibration concepts.
• Frame findings as illustrations; behavior varies by group, context, and incentives.