Data and variable names

Note: this analysis uses 3 data sets. However, the one we are referring to here as the first data set (CRT_overTime_noRelig_FullVars_Anon2) will be used several times, so please pay attention to what file you need to load in for the section you are analyzing.

The first data set (CRT_overTime_noRelig_FullVarsAnon2) is for contrasting participant’s CRT scores across time. This required us to identify participants oldest and newest observations (deleting all others), then reshaping the data into wide format such that we had all variables for time one (participant’s oldest observations) and time two (participant’s newest observations). This is why, for this data set, we have either a “1” or a “2” at the end of most variables, and what appears to be mass redundancy for most of this data set.

mtid ------- unique id for each turk worker
collect1 ------- study that observation came from
date1 ------- date of observation
age1 ------- participant’s age
ethnic1 ------- participant’s ethnicity
ed1 ------- participant’s level of education
income1 ------- participant’s income for previous year
god1 ------- level of belief in god or gods
relig1 ------- participant’s religious identity – religious tradition
crtr1 ------- crt correct (reflective) score as generated in this aggregated data set
crti1 ------- crt intuitive (intuition) score as generated in this aggregated data set
ntimes1 ------- number of times participant appears in the dataset
sex1 ------- gender of participant
sc1 ------- corrected social conservatism variable (given collection variation)
fc1 ------- corrected fiscal conservatism variable (given collection variation)
crthigh1 ------- dichotomous variable representing the higher (2 or 3) vs lower (0 or 1) crt scores
expert1 ------- the log of people’s reported experience on mturk
collect2 ------- study that observation came from
date2 ------- date of observation
age2 ------- participant’s age
ethnic2 ------- participant’s ethnicity
ed2 ------- participant’s level of education
income2 ------- participant’s income previous year
god2 ------- level of belief in god or gods
relig2 ------- participant’s religious identity – religious tradition
crtr2 ------- crt correct (reflective) score as generated in this aggregated data set
crti2 ------- crt intuitive (intuition) score as generated in this aggregated data set
ntimes2 ------- number of times participant appears in the dataset
sex2 ------- gender of participant
sc2 ------- corrected social conservatism variable
fc2 ------- corrected fiscal conservatism variable
crthigh2 ------- dichotomous variable representing the higher (2 or 3) vs lower (0 or 1) crt scores
expert2 ------- the log of people’s reported experience on mturk
mttimes ------- the number of times participants show up in dataset and order
tdif ------- length of time between observations (date2 – date1)
ltdif ------- log of timediff
tdifl ------- median split of timediff
tdif10 ------- timediff divided into 10 equal bins
ltdif10 ------- ltimediff divided into 10 equal bins
sextm ------- variable assessing participants consistency in gender
(a demographic response that should remain consistent across time)
godbvmd ------- median split for god
sc1med ------- median split for sc
fc1med ------- median split for fc
perror ------- prediction errors for crtr (newcrtcorrb2-newcrtcorrb1)
perror_abs ----- absolute value of predicerror
perror_abs_m --- mean of predicerror_abs – for plotting purposes
perror_m ------- mean of predicerror – for plotting purposes
perror2 ------- square root of predicerror
perrori ------- prediction errors for crti (newcrtintuit2-newcrtintuit1)
perrori_abs ---- absolute value of predicerrorint
perrori_abs_m -- mean of predicerrorint_abs – for plotting purposes
perrori_m ------ mean of predicerrorint – for plotting purposes
perrori2 ------- square root of predicerrorint

The second data set (CRT_overTime_noRelig_FullVars_allSubjects_Anon2) is used for assessing the effect of multiple exposures over time. For this data set we loaded in the same data as the first and generated a variable that represented the number of times a participant was represented in the data (ntimes) and the order they appear in the data by date (mttimes). No observations were deleted and no reshaping was conducted, so there is no doubling of the data.

collect -------- Study that observation came from
mtid -------- Unique ID for each Turk worker
v9 -------- Date of observation
age -------- Participant’s age
sex -------- Participant’s gender
ethnic -------- Participant’s ethnicity
ed -------- Participant’s level of education
income -------- Participant’s level of income
god -------- Level of belief in God or Gods
sc -------- social conservatism variable
fc -------- fiscal conservatism variable
xpquant -------- Raw reported experience scores on Mturk
pasdg -------- Comprehension questions answer for those studies that had them
relig -------- participant’s religious identity – religious tradition
mtdup -------- Dichotomous variable representing repeated participation within the same collection
crtr -------- CRT correct (Reflective) score as generated in this aggregated data set
crti -------- CRT intuitive (Intuition) score as generated in this aggregated data set
mindate -------- The earliest observation for each participant
maxdate -------- The latest observation for each participant
ntimes -------- Number of times participant appears in the dataset
minvmax -------- Dichotomous variable scoring “1” if this variable was the minDate or maxDate of a given Mtid, or “0” if it’s one of the mid-scoring dates in between (like 2nd out of 3)
mttimes -------- The order an observation shows up in the data set
sexm -------- Variable assessing participants consistency in gender
crthigh -------- Dichotomous variable representing the higher (2 or 3) vs lower (0 or 1) CRT scores
expert -------- The log of people’s reported experience on Mturk
ntimes_prior --- numtimes-1
mttimes_prior -- MTtimes-1

The third data set used (CRT_overTime_Relig_FullVars_Anon2) is used for assessing the relationship between CRT and religious belief over time. To generate this data set, we first dropped all participants who did not have a belief in god score (god). We then ran through the same code as the first data set (CRT_overTime_noRelig_FullVars2) – identifying oldest and newest observations, dropping all others, and reshaping the data to wide and thus duplicated the variable list (again using “1” and “2” as suffixes). This data set can be thought of as undergoing the same processing as in the first data set, but only for those who answered the belief in god question.

mtid --- Unique ID for each Turk worker
colect1 --- Study that observation came from
date1 --- Date of observation
age1 --- Participant’s age
ethnic1 --- participant’s ethnicity
ed1 --- participant’s level of education
income1 --- participant’s income for previous year
god1 --- Level of belief in God or Gods
relig1 --- participant’s religious identity – religious tradition
crtr1 --- CRT correct (Reflective) score as generated in this aggregated data set
crti1 --- CRT intuitive (Intuition) score as generated in this aggregated data set
ntimes1 --- Number of times participant appears in the dataset
sex1 --- gender of participant
sc1 --- corrected social conservatism variable (given collection variation)
fc1 --- corrected fiscal conservatism variable (given collection variation)
expert1 --- The log of people’s reported experience on Mturk
colect2 --- Study that observation came from
date2 --- Date of observation
age2 --- Participant’s age
ethnic2 --- participant’s ethnicity
ed2 --- participant’s level of education
income2 --- participant’s income previous year
god2 --- Level of belief in God or Gods
relig2 --- participant’s religious identity – religious tradition
crtr2 --- CRT correct (Reflective) score as generated in this aggregated data set
crti2 --- CRT intuitive (Intuition) score as generated in this aggregated data set
ntimes2 --- Number of times participant appears in the dataset
sex2 --- gender of participant
sc2 --- corrected social conservatism variable (given collection variation)
fc2 ------ corrected fiscal conservatism variable (given collection variation)
expert2 ------ The log of people’s reported experience on Mturk
mttimes ------ The number of times participants show up in dataset and order
tdif --- Length of time between observations (date2 – date1)
ltdiff ----- Log of timeDiff
tdifl ---- Median split of timeDiff
tdif10 ----- timeDiff divided into 10 equal bins
ltdif10 ------ LtimeDiff divided into 10 equal bins
sexm --- Variable assessing participants consistency
in gender (a variable that should remain
consistent across time)
godbvmd ------ Median split for god
sc1med ----- Median split for SCFull
fc1med ----- Median split for FCFull