# Data set code book ## Farias et al. (2019) ### `Farias_2019.csv` - **Participant** - ID for each participant - **Age** - Age in years - **Religion** - Self-reported religious group as Christian or Atheist - **Nature_close** - Mean score across sub-scale items 1 (not at all important) to 6 (very important) for closeness to nature - **Sen_seek** - Mean score across sub-scale items 1 (not at all important) to 6 (very important) for sensation seeking - **Community** - Mean score across sub-scale items 1 (not at all important) to 6 (very important) for being a part of a community - **Rel_growth** - Mean score across sub-scale items 1 (not at all important) to 6 (very important) for religious growth - **Spirit_growth** - Mean score across sub-scale items 1 (not at all important) to 6 (very important) for spiritual seeking or finding the meaning of life - **Seek_life** - Mean score across sub-scale items 1 (not at all important) to 6 (very important) for searching for life direction ### `Farias_2019_long.csv` - **Participant** - ID for each participant - **Age** - Age in years - **Religion** - Self-reported religious group as Christian or Atheist - **Motivation_subscale** - Long version of the data set above where different types of motivation are listed for each participant across rows: Nature_close, Sen_seek, Community, Rel_growth, Spirit_growth, and Seek_life - **Average_rating** - Long version of the data set above for the mean score across sub-scale items 1 (not at all important) to 6 (very important). ## `Dawtry_2015.csv` - **household_income** - Participant's own household income in dollars ($) - **population_inequality_gini_index** - Gini index of population inequality based on participant's estimates for bottom and top income quintiles. Higher scores mean greater estimated inequality with 0 meaning perfect equality and 100 meaning perfect inequality - **population_mean_income** - Estimated household income across the whole US population in dollars ($) - **fairness_and_satisfaction** - Mean of two items (1 extremely fair - 9 Extremely unfair) asking participants how fair and satisfied they are with income distribution across the US - **support_for_redistribution** - Mean of four items (1 strongly disagree to 6 strongly agree) measuring attitudes for wealth redistribution in the US such as heavier taxes on the rich ## `road_accidents.csv` - **ACCIDENT_INDEX** - 13 digit code for each unique accident. - **ACCIDENT_SEVERITY** - A category for whether the accident was slight, serious, or fatal. - **SPEED_LIMIT** - The speed limit of the road where the accident occurred, e.g., 30, 40, 50, 70. - **DAY_OF_WEEK** - The day of the week when the accident happened, e.g., Monday, Tuesday etc.