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### Who lies? A large-scale reanalysis linking basic           ###
### personality traits to unethical decision making            ###
###                                                            ###
### Heck, Thielmann, Moshagen, & Hilbig (2018).                ###
### contact: heck@uni-mannheim.de                              ###
###                                                            ###
### Coding sheet for the merged raw data of 16 studies.        ###
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The merged dataset "cheating.csv" contains the following variables:


id	            = participant ID within a data set
age	            = age in years
sex	            = "f": female ; "m": male
student_sample  = TRUE: student sample ; FALSE: community sample
delay	        = TRUE: at least two weeks between HEXACO-PI-R and cheating paradigm
win	            = response in cheating paradigm (1: "yes" ; 0: "no")
p	            = baseline probability of winning
subj_p	        = subjective probability of winning
incentive	    = payoff in case of a "yes" response in the cheating paradigm

hex_hh	        = HEXACO Honesty-Humilty
hex_em	        = HEXACO Emotionality
hex_ex	        = HEXACO eXtraversion
hex_ag	        = HEXACO Agreeableness
hex_co	        = HEXACO Conscientiousness
hex_op	        = HEXACO Openness to Experience

neo_o	        = Big Five Openness to Experience
neo_c	        = Big Five Conscientiousness
neo_e	        = Big Five Extroversion
neo_a	        = Big Five Agreeableness
neo_n           = Big Five Neuroticism
	
hh_Sincerity	          = HEXACO facet scores [only based on 2-3 items!]
hh_Fairness	              =
hh_GreedAvoidance	      =
hh_Modesty	              =
em_Fearfulness	          =
em_Anxiety	              =
em_Dependence	          =
em_Sentimentality	      =
ex_SocialSelfEsteem	      =
ex_SocialBoldness	      =
ex_Sociability	          =
ex_Liveliness	          =
ag_Forgiveness	          =
ag_Gentleness	          =
ag_Flexibility	          =
ag_Patience	              =
co_Organization	          =
co_Diligence	          =
co_Perfectionism	      =
co_Prudence	              =
op_AestheticAppreciation  =
op_Inquisitiveness	      =
op_Creativity	          =
op_Unconventionality      =