serial = participant unique serial ID (from referrer)
ip_address = participant IP address
date_added = start day and time (for the whole wave, not just this part)
date_finished = finish day and time (for the whole wave, not just this part)
tax0off1 = tax frame = 0, offset frame = 1

Note: Product 1 = flight, 2 = gas, 3 = electricity, 4 = computer
product1_offtax = chose offset/tax on the first product
	•	1 = chose the tax/offset option
	•	0 = choose the cheaper option
product1_strength = preference strength for their choice of offset/tax option on the first product
	•	3 = strongly prefer the more expensive option
	•	2 = somewhat prefer
	•	1 = slightly prefer
	•	0 = undecided
	•	-1 = slightly prefer the cheaper option
	•	-2 = somewhat prefer
	•	-3 = strongly prefer
product1_mandatory = support for making the carbon tax/offset option mandatory
Higher numbers indicate more support for regulation.
	•	3 = definitely
	•	2 = probably
	•	1 = maybe
	•	0 = undecided
	•	-1 = maybe not
	•	-2 = probably not
	•	-3 = definitely not
*naming rule from product1 to product is the same

year_of_birth
month_of_birth
gender_M0F1 = male or female
	•	0 = male
	•	1 = female
marital_status
	•	0 = single
	•	1 = living together
	•	2 = married
	•	3 = divorced
	•	4 = widowed
children = number of children
grandchildren = number of grandchildren
occupation
occupation_other
income = annual household income
	•	1 = <$14,999
	•	2 = $15,000 - $24,999
	•	3 = $25,000 - $34,999
	•	4 = $35,000 - $49,999
	•	5 = $50,000 - $99,999
	•	6 = $100,000 - $199,999
	•	7 = > $200,000
ethnicity
education = highest education completed or in progress
education_parent = parents' highest level of education completed or in progress
	•	0 = No degree
	•	1 = High school diploma
	•	2 = Associate degree, occupational
	•	3 = Associate degree, academic
	•	4 = Bachelor's degree
	•	5 = Master's degree
	•	6 = Professional degree
	•	7 = Doctoral degree
political_affiliation = democrat, republican, independent, or none of the above
political_ideology = extremely conservative, conservative, slightly conservative, moderate, slightly liberal, liberal, extremely liberal
conservatism_scale_7 = level of conservatism in a 7-point scale (converts political_ideology to a 7-point scale, -3 = extremely liberal, while +3 = extremely conservative)
political_party
	•	-1 = Democrat
	•	0 = Independent or Other
	•	1 = Republican
OffsetFrame
	• 1 = offset frame
	• -1 = tax frame
PoliticalXOffset = Political*Offset
end_time = date and time that participant ended the study 
begin_time = date and time that participant began the study (including the other, unrelated parts of the wave, which occured before and/or after)

duration_secs
duration_mins
= total time for participant to complete the study (including the other, unrelated parts of the wave, which occured before and/or after)

experiment_number = the wave/experiment ID (from referrer) that the participant was run in. The present research was run together with several other studies.

PA_score = Total positive affect score, from the PANAS (Positive And Negative Affect Schedule). Higher numbers mean more positive affect.

NA_score = Total negative affect score, from the PANAS. Higher numbers mean more negative affect.

NEPr_scale = Total NEPr score. Higher scores mean more pro-environmental attitudes.

thoughts_listed = total number of thoughts listed

good_thoughts_A = number of thoughts listed that were about a good thing about product A (the more 
expensive, tax/offset product)

bad_thoughts_A = number of thoughts listed that were about a bad thing about product A

good_thoughts_B = number of thoughts listed that were about a good thing about product B (the more expensive, tax/offset product)

bad_thoughts_B = number of thoughts listed that were about a bad thing about product B

neutral_thoughts = number of thoughts that weren't about a good or bad thing about product A or product B

self_thoughts = number of thoughts that primarily concerned the participant him/herself personally

others_thoughts = number of thoughts that primarily concerned others in the society

both_thoughts = number of thoughts that primarily concerned about both

rank_good_A = median rank of thoughts that were about a good thing about product A
rank_bad_A = median rank of thoughts that were about a bad thing about product A
rank_good_B = median rank of thoughts that were about a good thing about product B
rank_bad_B = median rank of thoughts that were about a bad thing about product B

rank_neither = median rank of thoughts that were about neither a good or bad thing about the product
rank_self = median rank of thoughts that were about a personal reason
rank_other = median rank of other thoughts listed by the participant
rank_both = median rank of thoughts that were about both self and other
	•	Rank here means the order of the thought listed by the participant. (e.g., if a participant has the following thought:
Flight A is cheaper Flight B is good for the environment I need to save money but we also need to save the world
The rank for “good thought about A” is 1.

env_sup_thoughts = Number of thoughts supporting the environmental option
env_opp_thoughts = Number of thoughts opposing the environmental option 
env_sup_MR = Median rank of thoughts supporting the environmental option
env_opp_MR = Median rank of thoughts opposing the environmental option

SMRD = the standardized median rank difference of aspect types (SMRD), is defined as 2(MRd - MRi)/n, where MRd = median rank of value-decreasing aspects in a participants sequence, MRi = median rank of value increasing aspects in a participants sequence, and n = total number of aspects in a participants sequence.

* Note that for any sequence (of length s) in which only one of the two response categories of interest (i.e., value-increasing or value-decreasing aspects) appears, the median rank of the unobserved response category is set to s + 1, which is a conservative way of representing the low level of accessibility of thoughts of that type. In addition, for the purpose of calculating the SMRD score, n = s + 1 for such single-category sequences. For sequences that include responses from both categories, n = s.

NumI = Number of value increasing thoughts
NumD = Number of value decreasing thoughts
age
offset_avg = average of product1_offtax through product4_offtax
conservatism_scale_5 = recodes conservatism to a 5-point scale, collapsing the outermost values
democrat_or_not
	•	1 = democrat
	•	-1 = other parties
offset1 = 
	•	-1 = tax
	•	 1 = offset
nondXoff = interaction of political party and offset frame
Dem0Repub1 = democrat 0, republican 1, other NULL
balance_thoughts = Balance of thoughts. Equal to NumI - NumD.
political_party_4 = 4-point scale for political party
	•	-1.5 = Democrat
	•	-.5 = Other
	•	.5 = Independent
	•	1.5 = Republican
linMD_tax = Linear test of party in the tax frame but not the offset frame
linMD_off = Linear test of party in the offset frame but not the tax frame
EmotBalC = balance scores. Computed by taking TaxPosC and subtracting TaxNegC to get TaxBalC, etc.