GENERAL INFORMATION

Title of Publication: Financial and prosocial rewards differentially enhance cognition in younger and older healthy adults
Authors: Nadine Schmidt, Marta Menéndez-Granda, Patric Wyss, Michael Orth, Sebastian Horn, Matthias Kliegel, Jessica Peter
Status: under Review

DATA SETS (n = 504, NA: missing values)
1. Data_task.csv (data on task level, i.e., participants overall performance in the monetary incentive delay task. One row per participant)
2. Data_trials.csv (Data on trial level (i.e., participants responses per trial). One row per trial. Extraordinary fast or slow responses have already been excluded according to the criteria: lower threshold: mean – 3 × SD, upper threshold: mean + 3 × SD  --> restricted by task at 800ms)

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1. Data_task.csv: data on task level
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Code: participant code
age: participants’ age in years
sex: 1 = male, 2 = female
handed: participants’ handedness. 1 = left, 2 = ambidexter, 3 = right
degree: highest educational degree. 1 = Pedagogical / University / Technical college, 2 = University of Applied Sciences, 3 = A-levels/ technical secondary school (gymnasiale Maturität / Fachmittelschule), 4 = Vocational A-levels (Berufsmaturität), 5 = Higher technical college (Höhere Fachschule), 6 = Apprenticeship, 7 = Compulsory education
edu_years: approximate number of years in education (based on degree). 1 ~ 16, 2 ~ 17, 3 ~ 13, 4 ~ 14, 5 ~ 15, 6 ~ 13, 7 ~ 10
age_group: age group "young" v.s. "older"

reward_type: reward condition. Prosocial = all money is donated to charity, combined = half of the money is donated, the other is paid to participants, financial = all money is paid to participants
points: total performance score (correct responses that were faster than mean baseline response time; a minimum of 29 points had to be achieved in order to gain money)
BL_RTmean: average response time for correct answers in the baseline run
BL_performance: number of correct answered baseline trials /total trial number of 20

health: "How is your state of health in general?" 1 = very bad, 2 = poor, 3 = mediocre, 4 = good, 5 = very good
thrift: "I need to keep my expenses low" 1 = true, 2 = rather true, 3 = rather not true, 4 = not true
donation: "How often do you donate money to a charity/ an environmental organization?" 1 = never, 2 = rarely, 3 = regularly
moneysat: "I need to worry about my financial situation" 1 = true, 2 = rather true, 3 = rather not true, 4 = not true


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2. Data_trials.csv: data on trial level
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Code: participant code

reward_type: reward condition. Prosocial = all money is donated to charity, combined = half of the money is donated, the other is paid to participants, financial = all money is paid to participants
trial_type: 0 = control trial (no incentive), 1 = reward trials (incentive)
trial_perc: trial number / 95 (rescaled trial number for fitting)

sex: participants' sex. 1 = male, 2 = female
age_group: age group "young" vs. "older"

BL_RTmean: average response time for correct answers in the baseline run
BL_performance: number of correct answered baseline trials /total trial number of 20