/
dfe_by_gamble_notes.txt
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/
dfe_by_gamble_notes.txt
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** Gamble structure **
gid: unique id for gamble (e.g., ‘S1G1’)
domain: ‘gain’ or ‘loss’
pairtype: ‘HH-LL’ or ‘HL-LH’
If ‘HH-LL’, the H option has high variance, L option
has low variance (‘hard’ problem); if ‘HL-LH’, H
option has low variance, L option has H variance (‘easy’
problem)
ev_diff: EV(H) - EV(L)
L_id, H_id: unique ids for set of outcomes, which occur multiple
times in different gambles —- but note that every
gamble had unique outcome probabilities
L_x1, L_x2, L_x3: outcomes for L option
L_p1, L_p2, L_p3: outcome probabilities for L option
L_ev: EV(L)
L_ev_var: Var(L)
H_x1, H_x2, H_x3: outcomes for H option
H_p1, H_p2, H_p3: outcome probabilities for H option
H_ev: EV(H)
H_ev_var: Var(H)
** Dependent measures **
Proportion choosing the H option
prop_H_all all participants
prop_H_all_old all participants in ‘old’ group
prop_H_all_yng all participants in ‘young’ group
prop_H_g1 group 1 (high switch rate)
prop_H_g1_old group 1 and ‘old’
prop_H_g1_yng group 1 and ‘youg’
prop_H_g2 group 2 (low switch rate)
prop_H_g2_old group 2 and ‘old’
prop_H_g2_yng group 2 and ‘young’
Average sample size
ss_all (same scheme as above)
ss_all_old
ss_all_yng
ss_g1
ss_g1_old
ss_g1_yng
ss_g2
ss_g2_old
ss_g2_yng
Average switching frequency
sf_all (same scheme as above)
sf_all_old
sf_all_yng
sf_g1
sf_g1_old
sf_g1_yng
sf_g2
sf_g2_old
sf_g2_yng