How buyers predict prices when buying

This study aims to investigate how buyers would predict the price of a second-hand product when buying it in a C2C market (e.g., through WeChat platforms rather than through eBay or Taobao)

Q1:Please indicate your gender

Male
Female
Others
Prefer not to say

Q2:Suppose you are buying second-hand pot that have been used for 1 year (buying through WeChat group chats), and the original price is 150 RMB, how much would you prefer?

150
130-149
110-129
90-109
70-89
50-69
<50

Q3:Suppose you are buying second-hand cup that have been used for 1 year (buying through WeChat group chats), and the original price is 60 RMB, how much would you prefer?

60
50-59
40-49
30-39
20-29
10-19
1-9

Q4:Please select 70

80
70
60
50

Q5:Suppose you are buying second-hand book that have been used for 1 year (including textbook or fictions / non-fictions), and the original price is 40 RMB, how much would you prefer?

40
30-39
20-29
10-19
1-9

Q6:Please indicate the reason of selecting choices above

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How buyers predict prices when buying
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