Asymmetric discounting of gains and losses: A query
theory account Study 1 Variable Dictionary
Corresponds to Asym_Disc_Study1_CLEANPIDremoved (Original title: Study 1 - CLEAN_v3 10-28-09)


SerialID = Unique participant identifier

ID_cons = Unique participant identifier for the consent form

email_cons = (hidden) Email provided in the consent form 

TimeStamp_cons = Timestamp of when study was taken

IP_cons = (hidden) IP address during consent form
 
GeoLocation = Country location of participant

akey = An aspect key link which passes the condition information to the next script 
* kca2102/de_amz2 = delay and gain scenario
* kca2102/ac_amz2 = accelerate and gain scenario
* kca2102/de_pt2 = delay and loss scenario
* kca2102/ac_pt2 = accelerate and loss scenario

switch_type = The summary response of the participant depending on their scenario starting from either a fixed or variable option
* all_fixed = participant did not switch from fixed options (fixed to fixed and remained with the original fixed option)
* all_var = participant did not switch from variable options (variable to variable and never settled on a fixed option)
* to_var = participant switched from either fixed or variable option to another variable option

expected_switch_type = In all the presented scenarios, the expected switch type is to variable (to_var) to find the indifference point
perverse = Responses swapped from varying amount to the fixed amount or vice versa in an irrational direction (choosing to pay more or to receive less)
* 0 = non perverse
* 1 = perverse

switches = Number of times the participant switched from the fixed amount or the varying amount to find indifference point

mono = 
* 0 = Non monotonic responses: switched back and forth between now and later amounts more than one time
* 1 = Monotonic responses: did not switch back and forth between now and later amounts more than one time

sig_var = The dollar amount at which the participant switched to the alternative option. Ranges from 40-90 in $5 increments for the delayed condition and ranges from 35-85 in $5 increments for the accelerated condition. If the participant never swapped (had a switch_type of all fixed] then sig_var is 0.

TimeStamp_titr = Timestamp of when choice titration was done

IP_titr = (hidden) IP address during choice titration 

ID_match = Unique participant identifier for the follow-up matching question

MatchingQ = A specific amount of the alternative option that would make it as attractive as the default option. Only used as an exclusion criterion for participants who, in the choice titrator, always preferred the fixed amount or the varying amount.

TimeStamp_match = Timestamp of when follow-up matching question was asked

IP_match = (hidden) IP address during matching question

condition = A number corresponding to each of the scenarios presented
* 85 = delay and gain scenario
* 86 = accelerate and gain scenario
* 87 = delay and loss scenario
* 88 = accelerate and loss scenario

num_aspects = Total number of thoughts listed

num_fav_pres = Number of thoughts favoring the present option

num_fav_fut = Number of thoughts favoring the future option

mum_fav_neither = Number of thoughts favoring neither the present or the future option

num_about_pres = Number of thoughts about the present option

num_about_fut = Number of thoughts about the future option

num_about_both = Number of thoughts about both the future and present option

num_about_neither = Number of thoughts that are not about the present or future option

asp_num_favor = The position in the list of thoughts where the option the participant favored changed. If the option favored didn't change, this is one greater than the number of thoughts listed (num_aspects). This is blank if the participant only listed thoughts about both and/or neither.

mr_favor_now  = Median rank of thoughts in favor of receiving/paying now where rank is the position in the list. If the participant always favored now, this is simply the median position in the list. If the participant never favored now, this will be one greater than the number of thoughts listed (num_aspects). Otherwise, it is the median position of the thoughts that favored now.
 
mr_favor_fut = Median rank of thoughts in favor of receiving paying later where rank is the position in the list. If the participant always favored later, this is simply the median position in the list. If the participant never favored now, this will be one greater than the number of thoughts listed (num_aspects). Otherwise, it is the median position of the thoughts that favored later.

SMRD_favor_calc = Standardized median rank of thoughts favoring now and later: score reflects tendency to produce thoughts favoring now before thoughts favoring later or vice versa.
* SMRD = 2(MRL-MRN)/n where:
* MRL  = mr_favor_fut, MRN = mr_favor_now and n = num_aspects 

SMRD_favor_simp = Simplified standardized median rank of thoughts where:
* -1 = thoughts favoring now clustered later, SMRD_favor_calc was negative
* 0 = randomly dispersed thoughts favoring now and later, SMRD value was 0
* 1 = thoughts about now clustered earlier, SMRD value was positive

asp_num_about = The position in the list of thoughts where the option the participant wrote about changed. If the option written about didn t change, this is one greater than the number of thoughts listed (num_aspects).

mr_about_now = Median rank of thoughts about receiving paying/now. If the participant always listed thoughts about now, this is simply the median position in the list. If the participant never listed thoughts about now, this will be one greater than the number of thoughts listed (num_aspects). Otherwise, it is the median position of the thoughts about now.

mr_about_fut = Median rank of thoughts about receiving/paying later where rank is the position in the list. If the participant always listed thoughts about later, this is simply the median position in the list. If the participant never favored now, this will be one greater than the number of thoughts listed (num_aspects). Otherwise, it is the median position of the thoughts about later.

SMRD_about_calc =standardized median rank of thoughts about now and later: score reflects tendency to produce thoughts about now before thoughts about later or vice versa
* SMRD = 2(MRL-MRN)/n where:
* MRL  = mr_about_fut, MRN = mr_about_now   and n = num_aspects

SMRD_about_simp = Simplified standardized median rank of thoughts where:
* -1 = thoughts about now clustered later, SMRD_about_calc was negative
* 0 = randomly dispersed thoughts about now and later, SMRD_about_calc was 0
* 1 =  thoughts about now clustered earlier, SMRD_about_calc was positive

ID_CRT = Unique participant identifier for the cognitive reflection test (CRT) Cognitive Reflection and Decision Making - American Economic Association (aeaweb.org)

CRT1 =  Answer to question 1: bat and ball 
A bat and a ball cost $1.10 in total. The bat costs $1.00 more than the ball. How much does the ball cost?

CRT2 = Answer to question 2: machines and widgets
If it takes 5 machines 5 minutes to make 5 widgets, how long would it take 100 machines to make 100 widgets?

CRT3  = Answer to question 3: patch of lily pads
In a lake, there is a patch of lily pads. Every day, the patch doubles in size. If it takes 48 days for the patch to cover the entire lake, how long would it take for the patch to cover half of the lake?

TimeStamp_CRT = Timestamp of when CRT was asked

IP_CRT = (hidden) IP address of the participant during the cognitive reflection test 

ID_demo = Unique participant identifier for the demographic questions

Year_birth = The birth year of participant

Month_birth = The birth month of participant

Sex = Gender of participant either Female or Male

Status = Marital status of participant either Married, Single, Living Together, Divorced/ Separated, or Widowed

Children = Number of children the participant has

Grandchildren = Number of grandchildren the participant has

Occupation = Working status or type of employment of the participant chosen from the following list:
Entrepreneur, Civil servant/employee, Worker/Farmer, Other, Manager, No job/ Unemployed, Working in household, Student

Occupation_Other = Other employment type that was entered by the participant

LevelofIncome = Annual income range of the participant

Race = Race of participant chosen from the following list: 
Black or African American, White, American Indian or Alaska Native, Hispanic or Latino, Other, Asian, Native Hawaiian or Other Pacific Islander

Race_Other = Other race that was entered by the participant

LevelofEducation =  Highest level of education that the participant has completed from the following list: No degree; High school diploma; Associate degree, academic; Associate degree, occupational;  Bachelor's degree; Professional degree; Master's degree; Doctoral degree; 

ParentEducation =  Highest level of education that the participant's parents have completed 

PoliticalParty = The political party the participant selected from the following list: Independent, Democrat, Republican, or None of the Above

PoliticalViews = The political views of the participant from the following list: Extremely liberal, Liberal, Slightly liberal, Moderate, Slightly conservative, Conservative, Extremely conservative

ZipCode  = (hidden) Zip code of the participant

TimeStamp_demo = Timestamp of when demographic questions were asked

IP_demo = (hidden) IP address of the participant during the demographics portion 

path = corresponds to condition
* 1 = delay and loss scenario
* 2 = accelerate and loss scenario 
* 3 = delay and gain scenario
* 4 = accelerate and gain scenario

end_time = timestamp when participant ended survey

begin_time = timestamp when participant started survey

duration_secs = amount of time in seconds participant took to finish survey

duration_mins = amount of time in minutes participant took to finish survey

log_mins = the log of the duration_mins

ln_mins = the natural log of the duration_mins



