Data File Guide for "Debiasing Egocentrism and Optimism Biases in Repeated Competitions" Below there is information for how to interpret the variables in the data file. Please email Jason Rose (jason.rose4@utoledo.edu) if you have questions. VARIABLES IN THE "MAIN DATA SET" FILE VARIABLE NAME DESCRIPTION RP_number participant number Session_time what time did participants go through the study Session_data what was the date of participation item_condition A condition variable indicating which of the 3 item sets (combinations of easy/hard items) was used Item_order Indicates the order in which the easy vs. hard item was thrown first. Throw_order Indicates the rounds in which the participant threw first. RP1_easy_total_round1 How many points in Round 1 for easy item (out of 24) RP1_hard_total_round1 How many points in Round 1 for hard item (out of 24) who_won_easy_round1 Did the participant win in Round 1 for easy item? who_won_hard_round1 Did the participant win in Round 1 for hard item? tiebreaker_needed_easy_round1 Was tiebreaker needed in Round 1 for easy item? tiebreaker_needed_hard_round1 Was tiebreaker needed in Round 1 for hard item? RP1_easy_total_round2 How many points in Round 2 for easy item (out of 24) RP1_hard_total_round2 How many points in Round 2 for hard item (out of 24) who_won_easy_round2 Did the participant win in Round 2 for easy item? who_won_hard_round2 Did the participant win in Round 2 for hard item? tiebreaker_needed_easy_round2 Was tiebreaker needed in Round 2 for easy item? tiebreaker_needed_hard_round2 Was tiebreaker needed in Round 2 for hard item? RP1_easy_total_round3 How many points in Round 3 for easy item (out of 24) RP1_hard_total_round3 How many points in Round 3 for hard item (out of 24) who_won_easy_round3 Did the participant win in Round 3 for easy item? who_won_hard_round3 Did the participant win in Round 3 for hard item? tiebreaker_needed_easy_round3 Was tiebreaker needed in Round 3 for easy item? tiebreaker_needed_hard_round3 Was tiebreaker needed in Round 3 for hard item? RP1_easy_total_round4 How many points in Round 4 for easy item (out of 24) RP1_hard_total_round4 How many points in Round 4 for hard item (out of 24) who_won_easy_round4 Did the participant win in Round 4 for easy item? who_won_hard_round4 Did the participant win in Round 4 for hard item? tiebreaker_needed_easy_round4 Was tiebreaker needed in Round 4 for easy item? tiebreaker_needed_hard_round4 Was tiebreaker needed in Round 4 for hard item? RP1_easy_total_round5 How many points in Round 5 for easy item (out of 24) RP1_hard_total_round5 How many points in Round 5 for hard item (out of 24) who_won_easy_round5 Did the participant win in Round 5 for easy item? who_won_hard_round5 Did the participant win in Round 5 for hard item? tiebreaker_needed_easy_round5 Was tiebreaker needed in Round 5 for easy item? tiebreaker_needed_hard_round5 Was tiebreaker needed in Round 5 for hard item? RP1_easy_total_round6 How many points in Round 6 for easy item (out of 24) RP1_hard_total_round6 How many points in Round 6 for hard item (out of 24) who_won_easy_round6 Did the participant win in Round 6 for easy item? who_won_hard_round6 Did the participant win in Round 6 for hard item? tiebreaker_needed_easy_round6 Was tiebreaker needed in Round 6 for easy item? tiebreaker_needed_hard_round6 Was tiebreaker needed in Round 6 for hard item? END_SCORE_SHEET like_easy_round1 Likelihood estimate for the easy object in Round 1 like_hard_round1 Likelihood estimate for the hard object in Round 1 like_easy_round2 Likelihood estimate for the easy object in Round 2 like_hard_round2 Likelihood estimate for the hard object in Round 2 like_easy_round3 Likelihood estimate for the easy object in Round 3 like_hard_round3 Likelihood estimate for the hard object in Round 3 like_easy_round4 Likelihood estimate for the easy object in Round 4 like_hard_round4 Likelihood estimate for the hard object in Round 4 like_easy_round5 Likelihood estimate for the easy object in Round 5 like_hard_round5 Likelihood estimate for the hard object in Round 5 like_easy_round6 Likelihood estimate for the easy object in Round 6 like_hard_round6 Likelihood estimate for the hard object in Round 6 SCE1 SCE = like estimate for easy MINUS like estimate for hard (round 1) SCE2 SCE = like estimate for easy MINUS like estimate for hard (round 2) SCE3 SCE = like estimate for easy MINUS like estimate for hard (round 3) SCE4 SCE = like estimate for easy MINUS like estimate for hard (round 4) SCE5 SCE = like estimate for easy MINUS like estimate for hard (round 5) SCE6 SCE = like estimate for easy MINUS like estimate for hard (round 6) self_easy_round1 Estimate of how many points self would get for easy item in Rd. 1 self_hard_round1 Estimate of how many points self would get for hard item in Rd. 1 self_easy_round2 Estimate of how many points self would get for easy item in Rd. 2 self_hard_round2 Estimate of how many points self would get for hard item in Rd. 2 self_easy_round3 Estimate of how many points self would get for easy item in Rd. 3 self_hard_round3 Estimate of how many points self would get for hard item in Rd. 3 self_easy_round4 Estimate of how many points self would get for easy item in Rd. 4 self_hard_round4 Estimate of how many points self would get for hard item in Rd. 4 self_easy_round5 Estimate of how many points self would get for easy item in Rd. 5 self_hard_round5 Estimate of how many points self would get for hard item in Rd. 5 self_easy_round6 Estimate of how many points self would get for easy item in Rd. 6 self_hard_round6 Estimate of how many points self would get for hard item in Rd. 6 comp_easy_round1 Estimate of how many points competitor would get for easy item in Rd. 1 comp_hard_round1 Estimate of how many points competitor would get for hard item in Rd. 1 comp_easy_round2 Estimate of how many points competitor would get for easy item in Rd. 2 comp_hard_round2 Estimate of how many points competitor would get for hard item in Rd. 2 comp_easy_round3 Estimate of how many points competitor would get for easy item in Rd. 3 comp_hard_round3 Estimate of how many points competitor would get for hard item in Rd. 3 comp_easy_round4 Estimate of how many points competitor would get for easy item in Rd. 4 comp_hard_round4 Estimate of how many points competitor would get for hard item in Rd. 4 comp_easy_round5 Estimate of how many points competitor would get for easy item in Rd. 5 comp_hard_round5 Estimate of how many points competitor would get for hard item in Rd. 5 comp_easy_round6 Estimate of how many points competitor would get for easy item in Rd. 6 comp_hard_round6 Estimate of how many points competitor would get for hard item in Rd. 6 indirect_easy_Rd1 Self estimate MINUS competitor estimate for easy item in Round 1 indirect_easy_Rd2 Self estimate MINUS competitor estimate for easy item in Round 2 indirect_easy_Rd3 Self estimate MINUS competitor estimate for easy item in Round 3 indirect_easy_Rd4 Self estimate MINUS competitor estimate for easy item in Round 4 indirect_easy_Rd5 Self estimate MINUS competitor estimate for easy item in Round 5 indirect_easy_Rd6 Self estimate MINUS competitor estimate for easy item in Round 6 indirect_hard_Rd1 Self estimate MINUS competitor estimate for hard item in Round 1 indirect_hard_Rd2 Self estimate MINUS competitor estimate for hard item in Round 2 indirect_hard_Rd3 Self estimate MINUS competitor estimate for hard item in Round 3 indirect_hard_Rd4 Self estimate MINUS competitor estimate for hard item in Round 4 indirect_hard_Rd5 Self estimate MINUS competitor estimate for hard item in Round 5 indirect_hard_Rd6 Self estimate MINUS competitor estimate for hard item in Round 6 post_comp_like_easy_ALL Average of the post-competition round likelihood estimates for winning for the set of easy items post_comp_like_hard_ALL Average of the post-competition round likelihood estimates for winning for the set of hard items SCE_postcomp Easy MINUS hard likelihood estimates for the post-competition round post_you_easy_ALL Average of the post-competition round self estimates for # of points predicted for the set of easy items post_you_hard_ALL Average of the post- competition round self estimates for # of points predicted for the set of hard items post_copart_easy_ALL Average of the post- competition round competitor estimates for # of points predicted for the set of easy items post_copart_hard_ALL Average of the post- competition round competitor estimates for # of points predicted for the set of hard items easy_throw_first_1 Likelihood estimate for easy object when throwing 1st on the 1st occasion hard_throw_first_1 Likelihood estimate for hard object when throwing 1st on the 1st occasion easy_throw_first_2 Likelihood estimate for easy object when throwing 1st on the 2nd occasion hard_throw_first_2 Likelihood estimate for hard object when throwing 1st on the 2nd occasion easy_throw_first_3 Likelihood estimate for easy object when throwing 1st on the 3rd occasion hard_throw_first_3 Likelihood estimate for hard object when throwing 1st on the 3rd occasion easy_throw_second_1 Likelihood estimate for easy object when throwing 2nd on the 1st occasion hard_throw_second_1 Likelihood estimate for hard object when throwing 2nd on the 1st occasion easy_throw_second_2 Likelihood estimate for easy object when throwing 2nd on the 2nd occasion hard_throw_second_2 Likelihood estimate for hard object when throwing 2nd on the 2nd occasion easy_throw_second_3 Likelihood estimate for easy object when throwing 2nd on the 3rd occasion hard_throw_second_3 Likelihood estimate for hard object when throwing 2nd on the 3rd occasion VARIABLES IN THE "DATA FOR REGRESSIONS" FILE *Note: In the study, each participant provided data in multiple rounds of a competition (thus, round is a within-subjects variable). Here, rather than the data across each round existing in multiple columns, the data was transformed such that each column represents a particular variable (e.g., likelihood estimates for easy objects) with multiple data points for each participant (e.g., all of participants' likelihood estimates for likelihood estimates across the 6 rounds). VARIABLE NAME DESCRIPTION RP_number participant number item_condition A condition variable indicating which of the 3 item sets (combinations of easy/hard items) was used postcomp_like_stacked All post-competition likelihood estimates for participant in 1 column postcomp_difficulty All post-competition difficulty labels to go with the likelihood estimates, in 1 column postcomp_self_stacked All post-competition self score estimates, in 1 column postcomp_competitor_stacked All post-competition competitor score estimates, in 1 column round_new A variable to go with likelihood estimates to indicate round difficulty_new A variable to go with likelihood estimates to indicate difficulty like All likelihood estimates for participant in 1 column (main competition) self_new All self score estimates for participant in 1 column (main competition) peer_new All competitor score estimates for participant in 1 column (main competition) indirect_new All indirect estimates (self MINUS competitor) for participant in 1 column (main competition) VAR00017 A Zround_new Z score for round variable above (A variable to go with likelihood estimates to indicate difficulty) Zdifficulty_new Z score for difficulty variable above (All likelihood estimates for participant in 1 column (main competition)) Zself_new Z score for self variable above (All self score estimates for participant in 1 column (main competition)) Zpeer_new Z score for peer variable above (All competitor score estimates for participant in 1 column (main competition)) Zindirect_new Z score for indirect variable above (All indirect estimates (self MINUS competitor) for participant in 1 column (main competition)) roundXself_new Interaction term for roundXself roundXpeer_new Interaction term for roundXpeer selfXpeer_new Interaction term for selfXpeer selfXpeerXround_new Interaction term for roundXselfXpeer VARIABLES IN THE "ROUND LEVEL ANALYSIS" FILE *Note: for this file, round was the unit of analysis. Thus, the data is taken from the main data file and placed into this new data file for different types of analyses. VARIABLE NAME DESCRIPTION round What round of competition considered (1-6) self Standardized beta weights for self score estimates as predictors of likelihood estimates, separately indicated for each round peer Standardized beta weights for competitor score estimates as predictors of likelihood estimates, separately indicated for each round difference Difference in beta weights for self vs. competitor score estimates as predictors of likelihood estimates, separately indicated for each round r_square_change_self R-square change when entering in self score estimates in a second step after self-competitor difference score (SO or indirects) as predictors of likelihood estimates, separately indicated for each round self_with_SO_score Standardized beta weights for self score estimates as predictors of likelihood estimates (when entered with self MINUS competitor scores or SO scores), separately indicated for each round SCE The average SCE (easy likelihood estimate MINUS hard likelihood estimate), separately indicate for each round