心理学报 ›› 2023, Vol. 55 ›› Issue (10): 1677-1695.doi: 10.3724/SP.J.1041.2023.01677
收稿日期:
2022-11-13
发布日期:
2023-07-26
出版日期:
2023-10-25
通讯作者:
孙庆洲, E-mail: 基金资助:
SUN Qingzhou1(), HUANG Jingru1, YU Xiaofen1,2(
), GAO Qingde1
Received:
2022-11-13
Online:
2023-07-26
Published:
2023-10-25
摘要:
达则兼济天下, 穷则独善其身?以往研究给出了不同答案, 一个潜在原因是先前研究未能区分生存和发展两类捐助。本研究通过5项研究(N = 2512)对比了高、低社会阶层在生存类和发展类捐助上的偏好差异及其潜在机制, 发现在主观社会阶层上, 低阶层更偏好生存类捐助, 高阶层更偏好发展类捐助。导致该差异的原因是, 低阶层捐助时避免受助者更差, 高阶层捐助时希望受助者更好, 而非高、低阶层需求关注点的不同产生的需求迁移, 亦非高、低阶层长短视导向的不同产生的跨期偏好。在客观社会阶层上, 研究并未得到较为稳定的发现。这对于解析现有捐助理论的争议, 揭示不同阶层捐助的可变规律, 助推“共同富裕”实施中慈善事业的精准化管理有参考意义。
中图分类号:
孙庆洲, 黄靖茹, 虞晓芬, 高倾德. (2023). 授人以鱼还是授人以渔?高、低社会阶层的捐助行为差异. 心理学报, 55(10), 1677-1695.
SUN Qingzhou, HUANG Jingru, YU Xiaofen, GAO Qingde. (2023). Give a man a fish or teach him to fish? Differences in donor behavior between high and low social classes. Acta Psychologica Sinica, 55(10), 1677-1695.
变量 | 1 | 2 | 3 | 4 | 5 | 6 |
---|---|---|---|---|---|---|
1. 性别 | 1 | |||||
2. 年龄 | 0.26** | 1 | ||||
3. 共情特质 | −0.07 | 0.12** | 1 | |||
4. 亲社会偏好 | −0.14*** | −0.05 | 0.23*** | 1 | ||
5. 相对社会阶层感知 | 0.03 | 0.01 | 0.01 | 0.01 | 1 | |
6. 捐助偏好 | 0.09 | 0.07 | −0.03 | 0.05 | 0.22*** | 1 |
M | P女 = 0.53 | 29.52 | 4.29 | 5.19 | P高社会阶层感知组 = 0.51 | P发展类捐助 = 0.55 |
SD | 6.75 | 1.52 | 1.00 |
表1 研究1变量描述统计和相关系数
变量 | 1 | 2 | 3 | 4 | 5 | 6 |
---|---|---|---|---|---|---|
1. 性别 | 1 | |||||
2. 年龄 | 0.26** | 1 | ||||
3. 共情特质 | −0.07 | 0.12** | 1 | |||
4. 亲社会偏好 | −0.14*** | −0.05 | 0.23*** | 1 | ||
5. 相对社会阶层感知 | 0.03 | 0.01 | 0.01 | 0.01 | 1 | |
6. 捐助偏好 | 0.09 | 0.07 | −0.03 | 0.05 | 0.22*** | 1 |
M | P女 = 0.53 | 29.52 | 4.29 | 5.19 | P高社会阶层感知组 = 0.51 | P发展类捐助 = 0.55 |
SD | 6.75 | 1.52 | 1.00 |
变量 | 捐助偏好 | |||||||
---|---|---|---|---|---|---|---|---|
模型1 | 模型2 | |||||||
B | SE | Wald | OR | B | SE | Wald | OR | |
性别 | 0.17* | 0.08 | 3.97 | 1.18 | 0.17* | 0.09 | 3.89 | 1.18 |
年龄 | 0.10 | 0.08 | 1.33 | 1.10 | 0.08 | 0.09 | 0.89 | 1.08 |
共情特质 | −0.14 | 0.08 | 2.79 | 0.87 | −0.13 | 0.09 | 2.38 | 1.16 |
亲社会偏好 | 0.15 | 0.08 | 3.08 | 1.16 | 0.15 | 0.09 | 2.89 | 0.88 |
捐助情境 | −0.18* | 0.08 | 4.93 | 0.84 | −0.18* | 0.08 | 5.18 | 0.83 |
相对社会阶层感知 | 0.45*** | 0.08 | 30.60 | 1.58 | ||||
R2 | 0.02 | 0.09 | ||||||
ΔR2 | 0.02 | 0.07 |
表2 研究1各变量的回归分析
变量 | 捐助偏好 | |||||||
---|---|---|---|---|---|---|---|---|
模型1 | 模型2 | |||||||
B | SE | Wald | OR | B | SE | Wald | OR | |
性别 | 0.17* | 0.08 | 3.97 | 1.18 | 0.17* | 0.09 | 3.89 | 1.18 |
年龄 | 0.10 | 0.08 | 1.33 | 1.10 | 0.08 | 0.09 | 0.89 | 1.08 |
共情特质 | −0.14 | 0.08 | 2.79 | 0.87 | −0.13 | 0.09 | 2.38 | 1.16 |
亲社会偏好 | 0.15 | 0.08 | 3.08 | 1.16 | 0.15 | 0.09 | 2.89 | 0.88 |
捐助情境 | −0.18* | 0.08 | 4.93 | 0.84 | −0.18* | 0.08 | 5.18 | 0.83 |
相对社会阶层感知 | 0.45*** | 0.08 | 30.60 | 1.58 | ||||
R2 | 0.02 | 0.09 | ||||||
ΔR2 | 0.02 | 0.07 |
变量 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 |
---|---|---|---|---|---|---|---|---|---|---|---|
1. 性别 | 1 | ||||||||||
2. 年龄 | 0.02 | 1 | |||||||||
3. 共情特质 | −0.01 | 0.16*** | 1 | ||||||||
4. 亲社会偏好 | −0.01 | 0.06 | 0.14*** | 1 | |||||||
5. 主观社会阶层 | 0.01 | 0.18*** | 0.05 | 0.05 | 1 | ||||||
6. 经济收入 | 0.02 | 0.07* | 0.06 | 0.05 | 0.22*** | 1 | |||||
7. 社会职业 | 0.03 | 0.07* | 0.02 | 0.10** | 0.25*** | 0.49*** | 1 | ||||
8. 受教育水平 | −0.04 | 0.01 | −0.04 | 0.10** | 0.17*** | 0.16*** | 0.21*** | 1 | |||
9. 提升聚焦 | 0.16*** | 0.09* | 0.38*** | 0.10** | 0.12** | 0.12*** | 0.16*** | 0.09* | 1 | ||
10. 防御聚焦 | 0.10** | −0.16*** | 0.13*** | 0.01 | −0.16*** | −0.07* | −0.11** | −0.16*** | 0.08* | 1 | |
11. 捐助偏好 | 0.02 | 0.10** | 0.05 | 0.11* | 0.24*** | 0.19*** | 0.22*** | 0.20*** | 0.18*** | −0.26*** | 1 |
M | P女= 0.46 | 30.45 | 5.25 | 4.47 | 5.07 | 4.96 | 4.46 | 4.78 | 5.40 | 4.72 | P发展类捐助= 0.51 |
SD | 7.36 | 1.02 | 1.53 | 1.77 | 2.47 | 1.48 | 0.67 | 0.68 | 0.91 |
表3 研究2描述性统计和相关系数
变量 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 |
---|---|---|---|---|---|---|---|---|---|---|---|
1. 性别 | 1 | ||||||||||
2. 年龄 | 0.02 | 1 | |||||||||
3. 共情特质 | −0.01 | 0.16*** | 1 | ||||||||
4. 亲社会偏好 | −0.01 | 0.06 | 0.14*** | 1 | |||||||
5. 主观社会阶层 | 0.01 | 0.18*** | 0.05 | 0.05 | 1 | ||||||
6. 经济收入 | 0.02 | 0.07* | 0.06 | 0.05 | 0.22*** | 1 | |||||
7. 社会职业 | 0.03 | 0.07* | 0.02 | 0.10** | 0.25*** | 0.49*** | 1 | ||||
8. 受教育水平 | −0.04 | 0.01 | −0.04 | 0.10** | 0.17*** | 0.16*** | 0.21*** | 1 | |||
9. 提升聚焦 | 0.16*** | 0.09* | 0.38*** | 0.10** | 0.12** | 0.12*** | 0.16*** | 0.09* | 1 | ||
10. 防御聚焦 | 0.10** | −0.16*** | 0.13*** | 0.01 | −0.16*** | −0.07* | −0.11** | −0.16*** | 0.08* | 1 | |
11. 捐助偏好 | 0.02 | 0.10** | 0.05 | 0.11* | 0.24*** | 0.19*** | 0.22*** | 0.20*** | 0.18*** | −0.26*** | 1 |
M | P女= 0.46 | 30.45 | 5.25 | 4.47 | 5.07 | 4.96 | 4.46 | 4.78 | 5.40 | 4.72 | P发展类捐助= 0.51 |
SD | 7.36 | 1.02 | 1.53 | 1.77 | 2.47 | 1.48 | 0.67 | 0.68 | 0.91 |
变量 | 提升聚焦 | 防御聚焦 | 捐助偏好 | |||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
模型1 | 模型2 | 模型3 | 模型4 | 模型5 | 模型6 | |||||||||||
β | SE | β | SE | β | SE | β | SE | B | SE | Wald | OR | B | SE | Wald | OR | |
性别 | 0.17*** | 0.03 | 0.17*** | 0.03 | 0.10** | 0.03 | 0.10** | 0.03 | 0.02 | 0.07 | 0.11 | 1.02 | 0.03 | 0.08 | 0.15 | 1.03 |
年龄 | 0.02 | 0.03 | −0.01 | 0.03 | −0.19*** | 0.03 | −0.17*** | 0.03 | 0.19** | 0.07 | 6.87 | 1.20 | 0.03 | 0.08 | 0.18 | 1.03 |
共情特质 | 0.37*** | 0.03 | 0.37*** | 0.03 | 0.17*** | 0.03 | 0.16*** | 0.03 | 0.07 | 0.07 | 0.97 | 1.07 | 0.06 | 0.08 | 0.52 | 1.06 |
亲社会偏好 | 0.05 | 0.03 | 0.03 | 0.03 | −0.01 | 0.03 | 0.01 | 0.03 | 0.21** | 0.07 | 9.14 | 1.24 | 0.17* | 0.08 | 4.80 | 1.18 |
捐助情境 | 0.00 | 0.03 | 0.00 | 0.03 | 0.00 | 0.03 | 0.00 | 0.03 | 0.15* | 0.07 | 5.05 | 1.17 | 0.19* | 0.08 | 6.05 | 1.20 |
主观社会阶层 | 0.05 | 0.03 | −0.10** | 0.03 | 0.31*** | 0.08 | 14.94 | 0.73 | ||||||||
经济收入 | 0.02 | 0.04 | −0.01 | 0.04 | 0.16 | 0.09 | 3.61 | 1.18 | ||||||||
社会职业 | 0.10** | 0.04 | −0.01 | 0.04 | 0.19* | 0.09 | 4.63 | 1.21 | ||||||||
受教育水平 | 0.06* | 0.03 | −0.12*** | 0.03 | 0.24** | 0.08 | 8.78 | 1.27 | ||||||||
提升聚焦 | 0.39*** | 0.09 | 19.94 | 1.48 | ||||||||||||
防御聚焦 | −0.65*** | 0.09 | 50.89 | 0.52 | ||||||||||||
R2 | 0.17 | 0.20 | 0.06 | 0.10 | 0.04 | 0.26 | ||||||||||
ΔR2 | 0.17 | 0.03 | 0.06 | 0.04 | 0.04 | 0.22 |
表4 研究2各变量的回归分析
变量 | 提升聚焦 | 防御聚焦 | 捐助偏好 | |||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
模型1 | 模型2 | 模型3 | 模型4 | 模型5 | 模型6 | |||||||||||
β | SE | β | SE | β | SE | β | SE | B | SE | Wald | OR | B | SE | Wald | OR | |
性别 | 0.17*** | 0.03 | 0.17*** | 0.03 | 0.10** | 0.03 | 0.10** | 0.03 | 0.02 | 0.07 | 0.11 | 1.02 | 0.03 | 0.08 | 0.15 | 1.03 |
年龄 | 0.02 | 0.03 | −0.01 | 0.03 | −0.19*** | 0.03 | −0.17*** | 0.03 | 0.19** | 0.07 | 6.87 | 1.20 | 0.03 | 0.08 | 0.18 | 1.03 |
共情特质 | 0.37*** | 0.03 | 0.37*** | 0.03 | 0.17*** | 0.03 | 0.16*** | 0.03 | 0.07 | 0.07 | 0.97 | 1.07 | 0.06 | 0.08 | 0.52 | 1.06 |
亲社会偏好 | 0.05 | 0.03 | 0.03 | 0.03 | −0.01 | 0.03 | 0.01 | 0.03 | 0.21** | 0.07 | 9.14 | 1.24 | 0.17* | 0.08 | 4.80 | 1.18 |
捐助情境 | 0.00 | 0.03 | 0.00 | 0.03 | 0.00 | 0.03 | 0.00 | 0.03 | 0.15* | 0.07 | 5.05 | 1.17 | 0.19* | 0.08 | 6.05 | 1.20 |
主观社会阶层 | 0.05 | 0.03 | −0.10** | 0.03 | 0.31*** | 0.08 | 14.94 | 0.73 | ||||||||
经济收入 | 0.02 | 0.04 | −0.01 | 0.04 | 0.16 | 0.09 | 3.61 | 1.18 | ||||||||
社会职业 | 0.10** | 0.04 | −0.01 | 0.04 | 0.19* | 0.09 | 4.63 | 1.21 | ||||||||
受教育水平 | 0.06* | 0.03 | −0.12*** | 0.03 | 0.24** | 0.08 | 8.78 | 1.27 | ||||||||
提升聚焦 | 0.39*** | 0.09 | 19.94 | 1.48 | ||||||||||||
防御聚焦 | −0.65*** | 0.09 | 50.89 | 0.52 | ||||||||||||
R2 | 0.17 | 0.20 | 0.06 | 0.10 | 0.04 | 0.26 | ||||||||||
ΔR2 | 0.17 | 0.03 | 0.06 | 0.04 | 0.04 | 0.22 |
变量 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
1. 性别 | 1 | |||||||||||
2. 年龄 | 0.05 | 1 | ||||||||||
3. 共情特质 | −0.05 | 0.08 | 1 | |||||||||
4. 亲社会偏好 | −0.04 | 0.01 | 0.23*** | 1 | ||||||||
5. 脱困总额预估 | −0.01 | −0.08 | −0.01 | 0.02 | 1 | |||||||
6. 主观社会阶层 | 0.01 | 0.14** | −0.04 | −0.04 | 0.06 | 1 | ||||||
7. 经济收入 | 0.16** | 0.31*** | −0.02 | −0.06 | 0.09 | 0.39*** | 1 | |||||
8. 社会职业 | −0.01 | 0.24*** | −0.03 | −0.07 | 0.06 | 0.37*** | 0.51*** | 1 | ||||
9. 受教育水平 | −0.02 | −0.05 | −0.04 | −0.09 | 0.12* | 0.29*** | 0.25*** | 0.45*** | 1 | |||
10. 捐助类型 | 0.03 | 0.02 | −0.02 | 0.03 | −0.21** | −0.11* | −0.06 | −0.08 | −0.01 | 1 | ||
11. 自身需求偏好 | 0.11* | 0.02 | 0.11* | 0.01 | 0.05 | 0.17*** | 0.11* | 0.06 | 0.10* | −0.02 | 1 | |
12. 捐助金额 | −0.10* | −0.02 | 0.17*** | 0.15** | −0.04 | 0.01 | −0.01 | −0.04 | −0.01 | −0.14** | −0.03 | 1 |
M | P女= 0.59 | 30.36 | 5.31 | 4.55 | 13845.59 | 5.46 | 5.23 | 4.41 | 4.78 | P发展类捐助= 0.50 | 5.69 | 57.57 |
SD | 6.58 | 1.07 | 2.04 | 29641.71 | 2.15 | 2.26 | 1.45 | 0.75 | 1.46 | 26.42 |
表5 研究3描述性统计和相关系数
变量 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
1. 性别 | 1 | |||||||||||
2. 年龄 | 0.05 | 1 | ||||||||||
3. 共情特质 | −0.05 | 0.08 | 1 | |||||||||
4. 亲社会偏好 | −0.04 | 0.01 | 0.23*** | 1 | ||||||||
5. 脱困总额预估 | −0.01 | −0.08 | −0.01 | 0.02 | 1 | |||||||
6. 主观社会阶层 | 0.01 | 0.14** | −0.04 | −0.04 | 0.06 | 1 | ||||||
7. 经济收入 | 0.16** | 0.31*** | −0.02 | −0.06 | 0.09 | 0.39*** | 1 | |||||
8. 社会职业 | −0.01 | 0.24*** | −0.03 | −0.07 | 0.06 | 0.37*** | 0.51*** | 1 | ||||
9. 受教育水平 | −0.02 | −0.05 | −0.04 | −0.09 | 0.12* | 0.29*** | 0.25*** | 0.45*** | 1 | |||
10. 捐助类型 | 0.03 | 0.02 | −0.02 | 0.03 | −0.21** | −0.11* | −0.06 | −0.08 | −0.01 | 1 | ||
11. 自身需求偏好 | 0.11* | 0.02 | 0.11* | 0.01 | 0.05 | 0.17*** | 0.11* | 0.06 | 0.10* | −0.02 | 1 | |
12. 捐助金额 | −0.10* | −0.02 | 0.17*** | 0.15** | −0.04 | 0.01 | −0.01 | −0.04 | −0.01 | −0.14** | −0.03 | 1 |
M | P女= 0.59 | 30.36 | 5.31 | 4.55 | 13845.59 | 5.46 | 5.23 | 4.41 | 4.78 | P发展类捐助= 0.50 | 5.69 | 57.57 |
SD | 6.58 | 1.07 | 2.04 | 29641.71 | 2.15 | 2.26 | 1.45 | 0.75 | 1.46 | 26.42 |
变量 | 自身需求偏好 | 捐助金额 | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
模型1 | 模型2 | 模型3 | 模型4 | 模型5 | |||||||
β | SE | β | SE | β | SE | β | SE | β | SE | ||
性别 | 0.08 | 0.05 | 0.08 | 0.05 | −0.08 | 0.05 | −0.08 | 0.05 | −0.06 | 0.05 | |
年龄 | 0.01 | 0.05 | −0.02 | 0.05 | −0.03 | 0.05 | −0.03 | 0.05 | −0.02 | 0.05 | |
共情特质 | 0.12* | 0.05 | 0.13** | 0.05 | 0.14** | 0.05 | 0.14** | 0.05 | 0.15** | 0.05 | |
亲社会偏好 | −0.01 | 0.05 | −0.01 | 0.05 | 0.12* | 0.05 | 0.13** | 0.05 | 0.11* | 0.05 | |
脱困总额预估 | 0.04 | 0.05 | 0.03 | 0.05 | −0.04 | 0.05 | −0.07 | 0.05 | −0.03 | 0.05 | |
主观社会阶层 | 0.16** | 0.05 | 0.02 | 0.05 | −0.01 | 0.05 | |||||
经济收入 | 0.05 | 0.06 | 0.05 | 0.06 | 0.07 | 0.06 | |||||
社会职业 | −0.05 | 0.06 | −0.08 | 0.06 | −0.11 | 0.06 | |||||
受教育水平 | 0.07 | 0.05 | 0.02 | 0.05 | 0.05 | 0.05 | |||||
捐助类型 | 0.01 | 0.05 | −0.15** | 0.05 | −0.15** | 0.05 | |||||
自身需求偏好 | −0.05 | 0.05 | −0.06 | 0.05 | |||||||
捐助类型×主观社会阶层 | 0.22** | 0.05 | |||||||||
捐助类型×经济收入 | 0.13 | 0.05 | |||||||||
捐助类型×社会职业 | −0.02 | 0.06 | |||||||||
捐助类型×受教育水平 | −0.01 | 0.05 | |||||||||
捐助类型×自身需求偏好 | 0.03 | 0.05 | |||||||||
R2 | 0.02 | 0.06 | 0.05 | 0.08 | 0.16 | ||||||
ΔR2 | 0.02 | 0.04 | 0.05 | 0.03 | 0.08 |
表6 研究3各变量的回归分析
变量 | 自身需求偏好 | 捐助金额 | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
模型1 | 模型2 | 模型3 | 模型4 | 模型5 | |||||||
β | SE | β | SE | β | SE | β | SE | β | SE | ||
性别 | 0.08 | 0.05 | 0.08 | 0.05 | −0.08 | 0.05 | −0.08 | 0.05 | −0.06 | 0.05 | |
年龄 | 0.01 | 0.05 | −0.02 | 0.05 | −0.03 | 0.05 | −0.03 | 0.05 | −0.02 | 0.05 | |
共情特质 | 0.12* | 0.05 | 0.13** | 0.05 | 0.14** | 0.05 | 0.14** | 0.05 | 0.15** | 0.05 | |
亲社会偏好 | −0.01 | 0.05 | −0.01 | 0.05 | 0.12* | 0.05 | 0.13** | 0.05 | 0.11* | 0.05 | |
脱困总额预估 | 0.04 | 0.05 | 0.03 | 0.05 | −0.04 | 0.05 | −0.07 | 0.05 | −0.03 | 0.05 | |
主观社会阶层 | 0.16** | 0.05 | 0.02 | 0.05 | −0.01 | 0.05 | |||||
经济收入 | 0.05 | 0.06 | 0.05 | 0.06 | 0.07 | 0.06 | |||||
社会职业 | −0.05 | 0.06 | −0.08 | 0.06 | −0.11 | 0.06 | |||||
受教育水平 | 0.07 | 0.05 | 0.02 | 0.05 | 0.05 | 0.05 | |||||
捐助类型 | 0.01 | 0.05 | −0.15** | 0.05 | −0.15** | 0.05 | |||||
自身需求偏好 | −0.05 | 0.05 | −0.06 | 0.05 | |||||||
捐助类型×主观社会阶层 | 0.22** | 0.05 | |||||||||
捐助类型×经济收入 | 0.13 | 0.05 | |||||||||
捐助类型×社会职业 | −0.02 | 0.06 | |||||||||
捐助类型×受教育水平 | −0.01 | 0.05 | |||||||||
捐助类型×自身需求偏好 | 0.03 | 0.05 | |||||||||
R2 | 0.02 | 0.06 | 0.05 | 0.08 | 0.16 | ||||||
ΔR2 | 0.02 | 0.04 | 0.05 | 0.03 | 0.08 |
变量 | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
---|---|---|---|---|---|---|---|
1. 性别 | 1 | ||||||
2. 年龄 | 0.17*** | 1 | |||||
3. 共情特质 | −0.01 | 0.07* | 1 | ||||
4. 亲社会偏好 | 0.04 | 0.06 | 0.18*** | 1 | |||
5. 主观社会阶层 | −0.03 | 0.15*** | −0.08** | −0.05 | 1 | ||
6. 调节聚焦表征 | −0.04 | 0.02 | 0.02 | 0.08* | 0.03 | 1 | |
7. 捐助偏好 | 0.02 | 0.01 | 0.08* | 0.13*** | 0.01 | −0.03 | 1 |
M | P女 = 0.54 | 30.45 | 5.18 | 4.16 | 5.81 | P = 0.50 | P发展类捐助 = 0.49 |
SD | 8.64 | 1.06 | 1.66 | 2.06 |
表7 研究4描述性统计和相关系数
变量 | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
---|---|---|---|---|---|---|---|
1. 性别 | 1 | ||||||
2. 年龄 | 0.17*** | 1 | |||||
3. 共情特质 | −0.01 | 0.07* | 1 | ||||
4. 亲社会偏好 | 0.04 | 0.06 | 0.18*** | 1 | |||
5. 主观社会阶层 | −0.03 | 0.15*** | −0.08** | −0.05 | 1 | ||
6. 调节聚焦表征 | −0.04 | 0.02 | 0.02 | 0.08* | 0.03 | 1 | |
7. 捐助偏好 | 0.02 | 0.01 | 0.08* | 0.13*** | 0.01 | −0.03 | 1 |
M | P女 = 0.54 | 30.45 | 5.18 | 4.16 | 5.81 | P = 0.50 | P发展类捐助 = 0.49 |
SD | 8.64 | 1.06 | 1.66 | 2.06 |
变量 | 捐助偏好 | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
模型1 | 模型2 | 模型3 | ||||||||||
B | SE | Wald | OR | B | SE | Wald | OR | B | SE | Wald | OR | |
性别 | 0.03 | 0.07 | 0.19 | 1.03 | 0.03 | 0.07 | 0.16 | 1.03 | 0.07 | 0.07 | 0.94 | 1.07 |
年龄 | −0.03 | 0.07 | 0.13 | 0.98 | −0.03 | 0.07 | 0.23 | 0.97 | −0.04 | 0.07 | 0.27 | 0.96 |
共情特质 | 0.12 | 0.07 | 2.98 | 1.13 | 0.13 | 0.07 | 3.18 | 1.14 | 0.12 | 0.07 | 2.88 | 1.13 |
亲社会偏好 | 0.24** | 0.07 | 11.28 | 1.27 | 0.24** | 0.07 | 11.20 | 1.27 | 0.24** | 0.07 | 10.85 | 1.28 |
捐助情境 | 0.05 | 0.07 | 0.47 | 1.05 | 0.05 | 0.07 | 0.47 | 1.05 | 0.05 | 0.07 | 0.50 | 1.05 |
主观社会阶层 | 0.05 | 0.07 | 0.53 | 0.95 | 0.02 | 0.08 | 0.05 | 1.02 | ||||
调节聚焦表征 | −0.05 | 0.07 | 0.56 | 0.95 | −0.06 | 0.07 | 0.66 | 0.94 | ||||
主观社会阶层× 调节聚焦表征 | 0.49*** | 0.08 | 42.19 | 1.63 | ||||||||
R2 | 0.03 | 0.03 | 0.10 | |||||||||
ΔR2 | 0.03 | 0.01 | 0.07 |
表8 研究4各变量的层次回归分析
变量 | 捐助偏好 | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
模型1 | 模型2 | 模型3 | ||||||||||
B | SE | Wald | OR | B | SE | Wald | OR | B | SE | Wald | OR | |
性别 | 0.03 | 0.07 | 0.19 | 1.03 | 0.03 | 0.07 | 0.16 | 1.03 | 0.07 | 0.07 | 0.94 | 1.07 |
年龄 | −0.03 | 0.07 | 0.13 | 0.98 | −0.03 | 0.07 | 0.23 | 0.97 | −0.04 | 0.07 | 0.27 | 0.96 |
共情特质 | 0.12 | 0.07 | 2.98 | 1.13 | 0.13 | 0.07 | 3.18 | 1.14 | 0.12 | 0.07 | 2.88 | 1.13 |
亲社会偏好 | 0.24** | 0.07 | 11.28 | 1.27 | 0.24** | 0.07 | 11.20 | 1.27 | 0.24** | 0.07 | 10.85 | 1.28 |
捐助情境 | 0.05 | 0.07 | 0.47 | 1.05 | 0.05 | 0.07 | 0.47 | 1.05 | 0.05 | 0.07 | 0.50 | 1.05 |
主观社会阶层 | 0.05 | 0.07 | 0.53 | 0.95 | 0.02 | 0.08 | 0.05 | 1.02 | ||||
调节聚焦表征 | −0.05 | 0.07 | 0.56 | 0.95 | −0.06 | 0.07 | 0.66 | 0.94 | ||||
主观社会阶层× 调节聚焦表征 | 0.49*** | 0.08 | 42.19 | 1.63 | ||||||||
R2 | 0.03 | 0.03 | 0.10 | |||||||||
ΔR2 | 0.03 | 0.01 | 0.07 |
变量 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
---|---|---|---|---|---|---|---|---|
1. 性别 | 1 | |||||||
2. 年龄 | 0.17*** | 1 | ||||||
3. 共情特质 | −0.02 | 0.14*** | 1 | |||||
4. 亲社会偏好 | −0.01 | 0.04 | 0.16*** | 1 | ||||
5. 主观社会阶层 | 0.03 | 0.16*** | −0.02 | −0.01 | 1 | |||
6. 调节聚焦表征 | −0.01 | −0.05 | −0.03 | 0.05 | −0.03 | 1 | ||
7. 跨期表征 | −0.05* | −0.07** | −0.04 | −0.01 | −0.02 | 0.01 | 1 | |
8. 捐助偏好 | 0.04 | 0.01 | 0.04 | 0.11*** | 0.04 | 0.02 | −0.01 | 1 |
M | P女 = 0.56 | 30.19 | 5.21 | 4.18 | 5.74 | P = 0.50 | P = 0.50 | P发展类捐助 = 0.49 |
SD | 8.24 | 1.02 | 1.68 | 2.11 |
表9 研究5描述性统计和相关系数
变量 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
---|---|---|---|---|---|---|---|---|
1. 性别 | 1 | |||||||
2. 年龄 | 0.17*** | 1 | ||||||
3. 共情特质 | −0.02 | 0.14*** | 1 | |||||
4. 亲社会偏好 | −0.01 | 0.04 | 0.16*** | 1 | ||||
5. 主观社会阶层 | 0.03 | 0.16*** | −0.02 | −0.01 | 1 | |||
6. 调节聚焦表征 | −0.01 | −0.05 | −0.03 | 0.05 | −0.03 | 1 | ||
7. 跨期表征 | −0.05* | −0.07** | −0.04 | −0.01 | −0.02 | 0.01 | 1 | |
8. 捐助偏好 | 0.04 | 0.01 | 0.04 | 0.11*** | 0.04 | 0.02 | −0.01 | 1 |
M | P女 = 0.56 | 30.19 | 5.21 | 4.18 | 5.74 | P = 0.50 | P = 0.50 | P发展类捐助 = 0.49 |
SD | 8.24 | 1.02 | 1.68 | 2.11 |
变量 | 捐助偏好 | |||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
模型1 | 模型2 | 模型3 | 模型4 | |||||||||||||
B | SE | Wald | OR | B | SE | Wald | OR | B | SE | Wald | OR | B | SE | Wald | OR | |
性别 | 0.08 | 0.05 | 2.33 | 1.08 | 0.08 | 0.05 | 2.31 | 1.08 | 0.07 | 0.05 | 1.77 | 1.07 | 0.07 | 0.05 | 1.81 | 1.07 |
年龄 | 0.03 | 0.05 | 0.26 | 1.03 | 0.01 | 0.05 | 0.06 | 1.01 | 0.01 | 0.05 | 0.03 | 1.01 | 0.01 | 0.05 | 0.03 | 1.01 |
共情特质 | 0.04 | 0.05 | 0.62 | 1.04 | 0.04 | 0.05 | 0.73 | 1.04 | 0.05 | 0.05 | 0.88 | 1.05 | 0.04 | 0.05 | 0.70 | 1.04 |
亲社会偏好 | 0.21** | 0.05 | 17.72 | 1.23 | 0.21** | 0.05 | 17.47 | 1.23 | 0.22** | 0.05 | 17.15 | 1.24 | 0.21** | 0.05 | 16.56 | 1.24 |
捐助情境 | 0.02 | 0.05 | 0.23 | 1.02 | 0.02 | 0.05 | 0.23 | 1.02 | 0.03 | 0.05 | 0.25 | 1.03 | 0.03 | 0.05 | 0.25 | 1.03 |
主观社会阶层 | 0.08 | 0.05 | 2.72 | 1.08 | 0.07 | 0.06 | 1.58 | 1.07 | 0.07 | 0.06 | 1.60 | 1.07 | ||||
调节聚焦表征 | 0.03 | 0.05 | 0.45 | 1.03 | 0.03 | 0.05 | 0.45 | 1.03 | 0.04 | 0.05 | 0.49 | 1.04 | ||||
跨期表征 | −0.02 | 0.05 | 0.14 | 0.98 | −0.04 | 0.05 | 0.65 | 0.96 | −0.04 | 0.05 | 0.58 | 0.96 | ||||
主观社会阶层×调节聚焦表征 | 0.57*** | 0.05 | 112.29 | 1.77 | 0.58*** | 0.05 | 114.00 | 1.79 | ||||||||
主观社会阶层×跨期表征 | 0.08 | 0.05 | 2.31 | 1.09 | 0.08 | 0.06 | 2.25 | 1.09 | ||||||||
主观社会阶层×调节聚焦表征×跨期表征 | 0.10 | 0.06 | 3.62 | 1.11 | ||||||||||||
R2 | 0.02 | 0.02 | 0.11 | 0.12 | ||||||||||||
ΔR2 | 0.02 | 0.01 | 0.09 | 0.01 |
表10 研究5各变量的回归分析
变量 | 捐助偏好 | |||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
模型1 | 模型2 | 模型3 | 模型4 | |||||||||||||
B | SE | Wald | OR | B | SE | Wald | OR | B | SE | Wald | OR | B | SE | Wald | OR | |
性别 | 0.08 | 0.05 | 2.33 | 1.08 | 0.08 | 0.05 | 2.31 | 1.08 | 0.07 | 0.05 | 1.77 | 1.07 | 0.07 | 0.05 | 1.81 | 1.07 |
年龄 | 0.03 | 0.05 | 0.26 | 1.03 | 0.01 | 0.05 | 0.06 | 1.01 | 0.01 | 0.05 | 0.03 | 1.01 | 0.01 | 0.05 | 0.03 | 1.01 |
共情特质 | 0.04 | 0.05 | 0.62 | 1.04 | 0.04 | 0.05 | 0.73 | 1.04 | 0.05 | 0.05 | 0.88 | 1.05 | 0.04 | 0.05 | 0.70 | 1.04 |
亲社会偏好 | 0.21** | 0.05 | 17.72 | 1.23 | 0.21** | 0.05 | 17.47 | 1.23 | 0.22** | 0.05 | 17.15 | 1.24 | 0.21** | 0.05 | 16.56 | 1.24 |
捐助情境 | 0.02 | 0.05 | 0.23 | 1.02 | 0.02 | 0.05 | 0.23 | 1.02 | 0.03 | 0.05 | 0.25 | 1.03 | 0.03 | 0.05 | 0.25 | 1.03 |
主观社会阶层 | 0.08 | 0.05 | 2.72 | 1.08 | 0.07 | 0.06 | 1.58 | 1.07 | 0.07 | 0.06 | 1.60 | 1.07 | ||||
调节聚焦表征 | 0.03 | 0.05 | 0.45 | 1.03 | 0.03 | 0.05 | 0.45 | 1.03 | 0.04 | 0.05 | 0.49 | 1.04 | ||||
跨期表征 | −0.02 | 0.05 | 0.14 | 0.98 | −0.04 | 0.05 | 0.65 | 0.96 | −0.04 | 0.05 | 0.58 | 0.96 | ||||
主观社会阶层×调节聚焦表征 | 0.57*** | 0.05 | 112.29 | 1.77 | 0.58*** | 0.05 | 114.00 | 1.79 | ||||||||
主观社会阶层×跨期表征 | 0.08 | 0.05 | 2.31 | 1.09 | 0.08 | 0.06 | 2.25 | 1.09 | ||||||||
主观社会阶层×调节聚焦表征×跨期表征 | 0.10 | 0.06 | 3.62 | 1.11 | ||||||||||||
R2 | 0.02 | 0.02 | 0.11 | 0.12 | ||||||||||||
ΔR2 | 0.02 | 0.01 | 0.09 | 0.01 |
研究 | 预研究效应量及G*Power参数 | 计算样本量 | 实收样本量 |
---|---|---|---|
研究1 | Logistics regression. Odd ratios预研究 = 2.85, α = 0.05, power (1 − β err prob) = 0.95, X distribution = binomial. | N = 203 | N = 326 |
研究2 | Logistics regression. Odd ratios预研究 = 1.62, α = 0.05, power (1 − β err prob) = 0.95, X distribution = normal. | N = 283 | N = 441 |
研究3 | Multiple regression. Effect size预研究 f2 = 0.07, α = 0.05, power (1−β err prob) = 0.95. | N = 224 | N = 456 |
研究4 | Logistics regression. Odd ratios预研究 = 1.65, α = 0.05, power (1 − β err prob) = 0.95, X distribution=normal. | N = 264 | N = 419 |
研究5 | Logistics regression. Odd ratios预研究 = 1.42, α = 0.05, power (1 − β err prob) = 0.95, X distribution = normal. | N = 520 | N = 870 |
附表1 基于预研究效应量计算的各研究计划样本量与实收样本量
研究 | 预研究效应量及G*Power参数 | 计算样本量 | 实收样本量 |
---|---|---|---|
研究1 | Logistics regression. Odd ratios预研究 = 2.85, α = 0.05, power (1 − β err prob) = 0.95, X distribution = binomial. | N = 203 | N = 326 |
研究2 | Logistics regression. Odd ratios预研究 = 1.62, α = 0.05, power (1 − β err prob) = 0.95, X distribution = normal. | N = 283 | N = 441 |
研究3 | Multiple regression. Effect size预研究 f2 = 0.07, α = 0.05, power (1−β err prob) = 0.95. | N = 224 | N = 456 |
研究4 | Logistics regression. Odd ratios预研究 = 1.65, α = 0.05, power (1 − β err prob) = 0.95, X distribution=normal. | N = 264 | N = 419 |
研究5 | Logistics regression. Odd ratios预研究 = 1.42, α = 0.05, power (1 − β err prob) = 0.95, X distribution = normal. | N = 520 | N = 870 |
捐助项目归类判断 | 研究1 | 研究2 | 研究3 | 研究4 | 研究5 | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|
基本物资资助 | 生存类捐助(N) | 304 | χ2 = 150.04, p < 0.001, φ = 0.48, 95% CI [0.42, 0.54] | / | / | 399 | χ2 = 149.24, p < 0.001, φ = 0.41, 95% CI [0.31, 0.46] | 215 | χ2 = 103.30, p < 0.001, φ = 0.47, 95% CI [0.40, 0.55] | / | / |
发展类捐助(N) | 22 | / | / | 57 | 17 | / | / | ||||
职业技能培训 | 生存类捐助(N) | 16 | χ2 = 166.41, p < 0.001, φ = 0.51, 95% CI [0.45, 0.56] | / | / | 54 | χ2 = 155.42, p < 0.001, φ = 0.41, 95% CI [0.37, 0.51] | 19 | χ2 = 98.30, p < 0.001, φ = 0.46, 95% CI [0.38, 0.53] | / | / |
发展类捐助(N) | 310 | / | / | 402 | 213 | / | / | ||||
生活物资大礼包 | 生存类捐助(N) | 307 | χ2 = 158.05, p < 0.001, φ = 0.49, 95% CI [0.43, 0.55] | / | / | / | / | 214 | χ2 = 100.78, p < 0.001, φ = 0.47, 95% CI [0.39, 0.54] | / | / |
发展类捐助(N) | 19 | / | / | / | / | 18 | / | / | |||
职业书籍大礼包 | 生存类捐助(N) | 16 | χ2 = 166.41, p < 0.001, φ = 0.51, 95% CI [0.45, 0.56] | / | / | / | / | 14 | χ2 = 111.18, p < 0.001, φ = 0.49, 95% CI [0.42, 0.56] | / | / |
发展类捐助(N) | 310 | / | / | / | / | 218 | / | / | |||
医疗物资保障 | 生存类捐助(N) | / | / | 406 | χ2 = 189.48, p < 0.001, φ = 0.46, 95% CI [0.37, 0.51] | / | / | / | / | 209 | χ2 = 309.32, p < 0.001, φ = 0.42, 95% CI [0.36, 0.46] |
发展类捐助(N) | / | / | 35 | / | / | / | / | 23 | |||
教育设备资助 | 生存类捐助(N) | / | / | 14 | χ2 = 247.58, p < 0.001, φ = 0.53, 95% CI [0.49, 0.62] | / | / | / | / | 17 | χ2 = 379.16, p < 0.001, φ = 0.47, 95% CI [0.43, 0.53] |
发展类捐助(N) | / | / | 427 | / | / | / | / | 215 | |||
粮油大礼包 | 生存类捐助(N) | / | / | 434 | χ2 = 269.89, p < 0.001, φ = 0.55, 95% CI [0.48, 0.59] | / | / | / | / | 216 | χ2 = 384.20, p < 0.001, φ = 0.47, 95% CI [0.41, 0.51] |
发展类捐助(N) | / | / | 7 | / | / | / | / | 16 | |||
文具大礼包 | 生存类捐助(N) | / | / | 16 | χ2 = 241.49, p < 0.001, φ = 0.52, 95% CI [0.48, 0.62] | / | / | / | / | 21 | χ2 = 338.28, p < 0.001, φ = 0.44, 95% CI [0.41, 0.50] |
发展类捐助(N) | / | / | 425 | / | / | / | / | 211 |
附表2 各研究中捐助项目的归类判断
捐助项目归类判断 | 研究1 | 研究2 | 研究3 | 研究4 | 研究5 | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|
基本物资资助 | 生存类捐助(N) | 304 | χ2 = 150.04, p < 0.001, φ = 0.48, 95% CI [0.42, 0.54] | / | / | 399 | χ2 = 149.24, p < 0.001, φ = 0.41, 95% CI [0.31, 0.46] | 215 | χ2 = 103.30, p < 0.001, φ = 0.47, 95% CI [0.40, 0.55] | / | / |
发展类捐助(N) | 22 | / | / | 57 | 17 | / | / | ||||
职业技能培训 | 生存类捐助(N) | 16 | χ2 = 166.41, p < 0.001, φ = 0.51, 95% CI [0.45, 0.56] | / | / | 54 | χ2 = 155.42, p < 0.001, φ = 0.41, 95% CI [0.37, 0.51] | 19 | χ2 = 98.30, p < 0.001, φ = 0.46, 95% CI [0.38, 0.53] | / | / |
发展类捐助(N) | 310 | / | / | 402 | 213 | / | / | ||||
生活物资大礼包 | 生存类捐助(N) | 307 | χ2 = 158.05, p < 0.001, φ = 0.49, 95% CI [0.43, 0.55] | / | / | / | / | 214 | χ2 = 100.78, p < 0.001, φ = 0.47, 95% CI [0.39, 0.54] | / | / |
发展类捐助(N) | 19 | / | / | / | / | 18 | / | / | |||
职业书籍大礼包 | 生存类捐助(N) | 16 | χ2 = 166.41, p < 0.001, φ = 0.51, 95% CI [0.45, 0.56] | / | / | / | / | 14 | χ2 = 111.18, p < 0.001, φ = 0.49, 95% CI [0.42, 0.56] | / | / |
发展类捐助(N) | 310 | / | / | / | / | 218 | / | / | |||
医疗物资保障 | 生存类捐助(N) | / | / | 406 | χ2 = 189.48, p < 0.001, φ = 0.46, 95% CI [0.37, 0.51] | / | / | / | / | 209 | χ2 = 309.32, p < 0.001, φ = 0.42, 95% CI [0.36, 0.46] |
发展类捐助(N) | / | / | 35 | / | / | / | / | 23 | |||
教育设备资助 | 生存类捐助(N) | / | / | 14 | χ2 = 247.58, p < 0.001, φ = 0.53, 95% CI [0.49, 0.62] | / | / | / | / | 17 | χ2 = 379.16, p < 0.001, φ = 0.47, 95% CI [0.43, 0.53] |
发展类捐助(N) | / | / | 427 | / | / | / | / | 215 | |||
粮油大礼包 | 生存类捐助(N) | / | / | 434 | χ2 = 269.89, p < 0.001, φ = 0.55, 95% CI [0.48, 0.59] | / | / | / | / | 216 | χ2 = 384.20, p < 0.001, φ = 0.47, 95% CI [0.41, 0.51] |
发展类捐助(N) | / | / | 7 | / | / | / | / | 16 | |||
文具大礼包 | 生存类捐助(N) | / | / | 16 | χ2 = 241.49, p < 0.001, φ = 0.52, 95% CI [0.48, 0.62] | / | / | / | / | 21 | χ2 = 338.28, p < 0.001, φ = 0.44, 95% CI [0.41, 0.50] |
发展类捐助(N) | / | / | 425 | / | / | / | / | 211 |
捐助偏好 | |||||
---|---|---|---|---|---|
B | SE | Wald | OR | ||
研究1 | 相对社会阶层感知×捐助情境 | -0.07 | 0.08 | 0.66 | 0.94 |
研究2 | 主观社会阶层×捐助情境 | 0.16 | 0.16 | 0.94 | 0.86 |
经济收入×捐助情境 | 0.16 | 0.09 | 0.03 | 1.02 | |
社会职业×捐助情境 | 0.09 | 0.09 | 0.99 | 1.09 | |
受教育水平×捐助情境 | 0.09 | 0.08 | 1.10 | 1.09 | |
研究4 | 主观社会阶层×调节聚焦表征×捐助情境 | -0.01 | 0.07 | 0.01 | 1.00 |
研究5 | 主观社会阶层×调节聚焦表征×捐助情境 | -0.03 | 0.05 | 0.22 | 0.98 |
附表3 各研究捐助情境的调节效应分析
捐助偏好 | |||||
---|---|---|---|---|---|
B | SE | Wald | OR | ||
研究1 | 相对社会阶层感知×捐助情境 | -0.07 | 0.08 | 0.66 | 0.94 |
研究2 | 主观社会阶层×捐助情境 | 0.16 | 0.16 | 0.94 | 0.86 |
经济收入×捐助情境 | 0.16 | 0.09 | 0.03 | 1.02 | |
社会职业×捐助情境 | 0.09 | 0.09 | 0.99 | 1.09 | |
受教育水平×捐助情境 | 0.09 | 0.08 | 1.10 | 1.09 | |
研究4 | 主观社会阶层×调节聚焦表征×捐助情境 | -0.01 | 0.07 | 0.01 | 1.00 |
研究5 | 主观社会阶层×调节聚焦表征×捐助情境 | -0.03 | 0.05 | 0.22 | 0.98 |
选项表征 | 调节聚焦知觉判断 | 统计检验 | |
---|---|---|---|
提升聚焦 | 防御聚焦 | ||
基本物资资助,避免百姓食不果腹,降低困难百姓生存压力。 | 31 | 201 | χ2 = 71.94, p < 0.001, φ = 0.39, 95% CI [0.31, 0.48] |
职业技能培训,提升职业素养,提高就业率,增加百姓收入。 | 206 | 26 | χ2 = 82.20, p < 0.001, φ = 0.42, 95% CI [0.34, 0.50] |
生活物资大礼包,缓解物资储备压力,降低百姓生活压力。 | 24 | 208 | χ2 = 86.58, p < 0.001, φ = 0.43, 95% CI [0.35, 0.51] |
职业发展与就业指导书籍大礼包,提升职业素养,增加百姓就业竞争力。 | 202 | 30 | χ2 = 73.92, p < 0.001, φ = 0.40, 95% CI [0.32, 0.48] |
基本物资资助,提高百姓物质生活水平,提升健康指数,增进人民福祉。 | 188 | 44 | χ2 = 49.45, p < 0.001, φ = 0.33, 95% CI [0.24, 0.41] |
职业技能培训,降低百姓苦力劳动比率,减少无业游民,缓解经济压力。 | 46 | 186 | χ2 = 46.47, p < 0.001, φ = 0.32, 95% CI [0.23, 0.40] |
生活物资大礼包,丰富百姓物质储备,提升生活质量。 | 185 | 47 | χ2 = 45.03, p < 0.001, φ = 0.31, 95% CI [0.22, 0.40] |
职业发展与就业指导书籍大礼包,降低百姓职业局限,减少技能盲区,缓解就业焦虑。 | 48 | 184 | χ2 = 43.61, p < 0.001, φ = 0.31, 95% CI [0.22, 0.39] |
附表4 研究4选项表征的归类判断
选项表征 | 调节聚焦知觉判断 | 统计检验 | |
---|---|---|---|
提升聚焦 | 防御聚焦 | ||
基本物资资助,避免百姓食不果腹,降低困难百姓生存压力。 | 31 | 201 | χ2 = 71.94, p < 0.001, φ = 0.39, 95% CI [0.31, 0.48] |
职业技能培训,提升职业素养,提高就业率,增加百姓收入。 | 206 | 26 | χ2 = 82.20, p < 0.001, φ = 0.42, 95% CI [0.34, 0.50] |
生活物资大礼包,缓解物资储备压力,降低百姓生活压力。 | 24 | 208 | χ2 = 86.58, p < 0.001, φ = 0.43, 95% CI [0.35, 0.51] |
职业发展与就业指导书籍大礼包,提升职业素养,增加百姓就业竞争力。 | 202 | 30 | χ2 = 73.92, p < 0.001, φ = 0.40, 95% CI [0.32, 0.48] |
基本物资资助,提高百姓物质生活水平,提升健康指数,增进人民福祉。 | 188 | 44 | χ2 = 49.45, p < 0.001, φ = 0.33, 95% CI [0.24, 0.41] |
职业技能培训,降低百姓苦力劳动比率,减少无业游民,缓解经济压力。 | 46 | 186 | χ2 = 46.47, p < 0.001, φ = 0.32, 95% CI [0.23, 0.40] |
生活物资大礼包,丰富百姓物质储备,提升生活质量。 | 185 | 47 | χ2 = 45.03, p < 0.001, φ = 0.31, 95% CI [0.22, 0.40] |
职业发展与就业指导书籍大礼包,降低百姓职业局限,减少技能盲区,缓解就业焦虑。 | 48 | 184 | χ2 = 43.61, p < 0.001, φ = 0.31, 95% CI [0.22, 0.39] |
选项表征 | 调节聚焦判断 | 统计检验 | 跨期导向判断 | 统计检验 | ||
---|---|---|---|---|---|---|
提升聚焦 | 防御聚焦 | 短期导向 | 长期导向 | |||
医疗物资保障,避免百姓长期病无可医,降低病患长期就医压力。 | 15 | 208 | χ2 = 102.66, p < 0.001, φ = 0.48, 95% CI [0.41, 0.55] | 9 | 214 | χ2 = 119.34, p < 0.001, φ = 0.52, 95% CI [0.44, 0.59] |
教育设备资助,改善教师当前教学环境,提高学生当下学习素养。 | 198 | 25 | χ2 = 78.88, p < 0.001, φ = 0.42, 95% CI [0.34, 0.50] | 194 | 29 | χ2 = 70.61, p < 0.001, φ = 0.40, 95% CI [0.32, 0.48] |
粮油大礼包,缓解长期物资储备压力,降低百姓长期生活困难。 | 27 | 196 | χ2 = 74.66, p < 0.001, φ = 0.41, 95% CI [0.33, 0.49] | 43 | 180 | χ2 = 46.39, p < 0.001, φ = 0.32, 95% CI [0.24, 0.41] |
文具大礼包,提高学生当下学习兴趣,提升学生当前学习质量。 | 205 | 18 | χ2 = 95.01, p < 0.001, φ = 0.46, 95% CI [0.39, 0.54] | 178 | 45 | χ2 = 43.45, p < 0.001, φ = 0.31, 95% CI [0.23, 0.40] |
医疗物资保障,改善百姓当前就医条件,提升百姓当下健康指数。 | 186 | 37 | χ2 = 55.94, p < 0.001, φ = 0.36, 95% CI [0.27, 0.44] | 180 | 43 | χ2 = 46.39, p < 0.001, φ = 0.32, 95% CI [0.24, 0.41] |
教育设备资助,降低未来教学安全隐患,避免学生长期素质低下。 | 31 | 192 | χ2 = 66.72, p < 0.001, φ = 0.39, 95% CI [0.30, 0.46] | 25 | 198 | χ2 = 78.88, p < 0.001, φ = 0.42, 95% CI [0.34, 0.50] |
粮油大礼包,丰富百姓短期物质储备,提升百姓当下生活质量。 | 195 | 28 | χ2 = 72.62, p < 0.001, φ = 0.40, 95% CI [0.32, 0.49] | 204 | 19 | χ2 = 92.56, p < 0.001, φ = 0.46, 95% CI [0.38, 0.53] |
文具大礼包,避免学习用品长期匮乏,缓解长期学习效率低下。 | 22 | 201 | χ2 = 85.52, p < 0.001, φ = 0.44, 95% CI [0.36, 0.52] | 35 | 188 | χ2 = 59.39, p < 0.001, φ = 0.37, 95% CI [0.28, 0.45] |
医疗物资保障,避免百姓当前病无可医,降低病患当前就医压力。 | 29 | 194 | χ2 = 70.61, p < 0.001, φ = 0.40, 95% CI [0.32, 0.48] | 217 | 6 | χ2 = 128.49, p < 0.001, φ = 0.54, 95% CI [0.48, 0.60] |
教育设备资助,改善教师长期教学环境,提高学生长期学习素养。 | 205 | 18 | χ2 = 95.01, p < 0.001, φ = 0.46, 95% CI [0.39, 0.54] | 33 | 190 | χ2 = 62.98, p < 0.001, φ = 0.38, 95% CI [0.29, 0.46] |
粮油大礼包,缓解短期物资储备压力,降低百姓短期生活困难。 | 13 | 210 | χ2 = 107.98, p < 0.001, φ = 0.49, 95% CI [0.42, 0.57] | 199 | 24 | χ2 = 81.05, p < 0.001, φ = 0.43, 95% CI [0.34, 0.50] |
文具大礼包,提高学生长期学习兴趣,提升学生长期学习质量。 | 215 | 8 | χ2 = 122.33, p < 0.001, φ = 0.52, 95% CI [0.45, 0.59] | 24 | 199 | χ2 = 81.05, p < 0.001, φ = 0.43, 95% CI [0.34, 0.50] |
医疗物资保障,改善百姓长期就医条件,提升百姓长期健康指数。 | 187 | 36 | χ2 = 57.65, p < 0.001, φ = 0.36, 95% CI [0.28, 0.45] | 9 | 214 | χ2 = 119.34, p < 0.001, φ = 0.52, 95% CI [0.44, 0.59] |
教育设备资助,降低当前教学安全隐患,避免学生当前素质低下。 | 27 | 196 | χ2 = 74.66, p < 0.001, φ = 0.41, 95% CI [0.33, 0.49] | 201 | 22 | χ2 = 85.52, p < 0.001, φ = 0.44, 95% CI [0.36, 0.52] |
粮油大礼包,丰富百姓长期物质储备,提升百姓长期生活质量。 | 209 | 14 | χ2 = 105.28, p < 0.001, φ = 0.49, 95% CI [0.41, 0.56] | 23 | 200 | χ2 = 83.26, p < 0.001, φ = 0.43, 95% CI [0.36, 0.51] |
文具大礼包,避免学习用品短期匮乏,缓解短期学习效率低下。 | 22 | 201 | χ2 = 85.52, p < 0.001, φ = 0.44, 95% CI [0.36, 0.52] | 195 | 28 | χ2 = 72.62, p < 0.001, φ = 0.40, 95% CI [0.32, 0.49] |
附表5 研究5中选项跨期表征的归类判断
选项表征 | 调节聚焦判断 | 统计检验 | 跨期导向判断 | 统计检验 | ||
---|---|---|---|---|---|---|
提升聚焦 | 防御聚焦 | 短期导向 | 长期导向 | |||
医疗物资保障,避免百姓长期病无可医,降低病患长期就医压力。 | 15 | 208 | χ2 = 102.66, p < 0.001, φ = 0.48, 95% CI [0.41, 0.55] | 9 | 214 | χ2 = 119.34, p < 0.001, φ = 0.52, 95% CI [0.44, 0.59] |
教育设备资助,改善教师当前教学环境,提高学生当下学习素养。 | 198 | 25 | χ2 = 78.88, p < 0.001, φ = 0.42, 95% CI [0.34, 0.50] | 194 | 29 | χ2 = 70.61, p < 0.001, φ = 0.40, 95% CI [0.32, 0.48] |
粮油大礼包,缓解长期物资储备压力,降低百姓长期生活困难。 | 27 | 196 | χ2 = 74.66, p < 0.001, φ = 0.41, 95% CI [0.33, 0.49] | 43 | 180 | χ2 = 46.39, p < 0.001, φ = 0.32, 95% CI [0.24, 0.41] |
文具大礼包,提高学生当下学习兴趣,提升学生当前学习质量。 | 205 | 18 | χ2 = 95.01, p < 0.001, φ = 0.46, 95% CI [0.39, 0.54] | 178 | 45 | χ2 = 43.45, p < 0.001, φ = 0.31, 95% CI [0.23, 0.40] |
医疗物资保障,改善百姓当前就医条件,提升百姓当下健康指数。 | 186 | 37 | χ2 = 55.94, p < 0.001, φ = 0.36, 95% CI [0.27, 0.44] | 180 | 43 | χ2 = 46.39, p < 0.001, φ = 0.32, 95% CI [0.24, 0.41] |
教育设备资助,降低未来教学安全隐患,避免学生长期素质低下。 | 31 | 192 | χ2 = 66.72, p < 0.001, φ = 0.39, 95% CI [0.30, 0.46] | 25 | 198 | χ2 = 78.88, p < 0.001, φ = 0.42, 95% CI [0.34, 0.50] |
粮油大礼包,丰富百姓短期物质储备,提升百姓当下生活质量。 | 195 | 28 | χ2 = 72.62, p < 0.001, φ = 0.40, 95% CI [0.32, 0.49] | 204 | 19 | χ2 = 92.56, p < 0.001, φ = 0.46, 95% CI [0.38, 0.53] |
文具大礼包,避免学习用品长期匮乏,缓解长期学习效率低下。 | 22 | 201 | χ2 = 85.52, p < 0.001, φ = 0.44, 95% CI [0.36, 0.52] | 35 | 188 | χ2 = 59.39, p < 0.001, φ = 0.37, 95% CI [0.28, 0.45] |
医疗物资保障,避免百姓当前病无可医,降低病患当前就医压力。 | 29 | 194 | χ2 = 70.61, p < 0.001, φ = 0.40, 95% CI [0.32, 0.48] | 217 | 6 | χ2 = 128.49, p < 0.001, φ = 0.54, 95% CI [0.48, 0.60] |
教育设备资助,改善教师长期教学环境,提高学生长期学习素养。 | 205 | 18 | χ2 = 95.01, p < 0.001, φ = 0.46, 95% CI [0.39, 0.54] | 33 | 190 | χ2 = 62.98, p < 0.001, φ = 0.38, 95% CI [0.29, 0.46] |
粮油大礼包,缓解短期物资储备压力,降低百姓短期生活困难。 | 13 | 210 | χ2 = 107.98, p < 0.001, φ = 0.49, 95% CI [0.42, 0.57] | 199 | 24 | χ2 = 81.05, p < 0.001, φ = 0.43, 95% CI [0.34, 0.50] |
文具大礼包,提高学生长期学习兴趣,提升学生长期学习质量。 | 215 | 8 | χ2 = 122.33, p < 0.001, φ = 0.52, 95% CI [0.45, 0.59] | 24 | 199 | χ2 = 81.05, p < 0.001, φ = 0.43, 95% CI [0.34, 0.50] |
医疗物资保障,改善百姓长期就医条件,提升百姓长期健康指数。 | 187 | 36 | χ2 = 57.65, p < 0.001, φ = 0.36, 95% CI [0.28, 0.45] | 9 | 214 | χ2 = 119.34, p < 0.001, φ = 0.52, 95% CI [0.44, 0.59] |
教育设备资助,降低当前教学安全隐患,避免学生当前素质低下。 | 27 | 196 | χ2 = 74.66, p < 0.001, φ = 0.41, 95% CI [0.33, 0.49] | 201 | 22 | χ2 = 85.52, p < 0.001, φ = 0.44, 95% CI [0.36, 0.52] |
粮油大礼包,丰富百姓长期物质储备,提升百姓长期生活质量。 | 209 | 14 | χ2 = 105.28, p < 0.001, φ = 0.49, 95% CI [0.41, 0.56] | 23 | 200 | χ2 = 83.26, p < 0.001, φ = 0.43, 95% CI [0.36, 0.51] |
文具大礼包,避免学习用品短期匮乏,缓解短期学习效率低下。 | 22 | 201 | χ2 = 85.52, p < 0.001, φ = 0.44, 95% CI [0.36, 0.52] | 195 | 28 | χ2 = 72.62, p < 0.001, φ = 0.40, 95% CI [0.32, 0.49] |
[1] |
Amir, D., Jordan, M. R., & Rand, D. G. (2018). An uncertainty management perspective on long-run impacts of adversity: The influence of childhood socioeconomic status on risk, time, and social preferences. Journal of Experimental Social Psychology, 79, 217-226.
doi: 10.1016/j.jesp.2018.07.014 URL |
[2] |
Alesina, A., Stantcheva, S., & Teso, E. (2018). Intergenerational mobility and preferences for redistribution. American Economic Review, 108(2), 521-554.
doi: 10.1257/aer.20162015 URL |
[3] |
Bai, J., Yang, S., Xu, B., & Guo, Y. (2021). How can successful people share their goodness with the world: The psychological mechanism underlying the upper social classes’ redistributive preferences and the role of humility. Acta Psychologica Sinica, 53(10), 1161-1172.
doi: 10.3724/SP.J.1041.2021.01161 URL |
[白洁, 杨沈龙, 徐步霄, 郭永玉. (2021). 达者何以兼济天下: 高阶层再分配偏向的心理机制及谦卑的作用. 心理学报, 53(10), 1161-1172.]
doi: 10.3724/SP.J.1041.2021.01161 |
|
[4] | Brown, J. R., Pollet, J. M., & Weisbenner, S. J. (2015). The in-state equity bias of state pension plans (No. w21020). National Bureau of Economic Research. |
[5] |
Chen, J., Gao, J., Liu, Z., Luo, Y., Chen, M., & Bu, L. (2022). Luxury in emerging markets: An investigation of the role of subjective social class and conspicuous consumption. Sustainability, 14(4), 2096.
doi: 10.3390/su14042096 URL |
[6] |
De Cremer, D., & Tyler, T. R. (2007). The effects of trust in authority and procedural fairness on cooperation. Journal of Applied Psychology, 92(3), 639-649.
pmid: 17484547 |
[7] |
Dertwinkel-Kalt, M., Gerhardt, H., Riener, G., Schwerter, F., & Strang, L. (2022). Concentration bias in intertemporal choice. The Review of Economic Studies, 89(3), 1314-1334.
doi: 10.1093/restud/rdab043 URL |
[8] |
Du, T., Hu, X., Yang, J., Li, L., & Wang, T. (2022). Low Socioeconomic Status and intertemporal choice: The mechanism of “psychological-shift” from the perspective of threat. Advances in Psychological Science, 30(8), 1894-1904.
doi: 10.3724/SP.J.1042.2022.01894 URL |
[杜棠艳, 胡小勇, 杨静, 李兰玉, 王甜甜. (2022). 低社会经济地位与跨期决策: 威胁视角下的心理转变机制. 心理科学进展, 30(8), 1894-1904.]
doi: 10.3724/SP.J.1042.2022.01894 |
|
[9] |
Duquette, N. J. (2018). Inequality and philanthropy: High-income giving in the United States 1917-2012. Explorations in Economic History, 70, 25-41.
doi: 10.1016/j.eeh.2018.08.002 URL |
[10] |
Echenique, F. (2020). New developments in revealed preference theory: Decisions under risk, uncertainty, and intertemporal choice. Annual Review of Economics, 12, 299-316.
doi: 10.1146/economics.2020.12.issue-1 URL |
[11] | Erlandsson, A., Nilsson, A., & Västfjäll, D. (2018). Attitudes and donation behavior when reading positive and negative charity appeals. Journal of Nonprofit & Public Sector Marketing, 30(4), 444-474. |
[12] |
Faul, F., Erdfelder, E., Lang, A. G., & Buchner, A. (2007). G* Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39(2), 175-191.
doi: 10.3758/BF03193146 URL |
[13] |
Frankenhuis, W. E., Nettle, D., & Dall, S. R. (2019). A case for environmental statistics of early-life effects. Philosophical Transactions of the Royal Society B, 374(1770), 20180110.
doi: 10.1098/rstb.2018.0110 URL |
[14] | Haushofer, J., Schunk, D., & Fehr, E. (2019). Negative income shocks increase discount rates. University of Zurich Working Paper. |
[15] | Higgins, E. T. (1998). Promotion and prevention: Regulatory focus as a motivational principle. In Advances in Experimental Social Psychology (Vol. 30, pp. 1-46). Academic Press. |
[16] |
Higgins, E. T. (2006). Value from hedonic experience and engagement. Psychological Review, 113(3), 439-460.
pmid: 16802877 |
[17] |
Johnson, P. D., Smith, M. B., Wallace, J. C., Hill, A. D., & Baron, R. A. (2015). A review of multilevel regulatory focus in organizations. Journal of Management, 41(5), 1501-1529.
doi: 10.1177/0149206315575552 URL |
[18] |
Keltner, D., Kogan, A., Piff, P. K., & Saturn, S. R. (2014). The sociocultural appraisals, values, and emotions (SAVE) framework of prosociality: Core processes from gene to meme. Annual Review of Psychology, 65, 425-460.
doi: 10.1146/annurev-psych-010213-115054 pmid: 24405363 |
[19] |
Kim, K. T., Wilmarth, M. J., & Henager, R. (2017). Poverty levels and debt indicators among low-income households before and after the Great Recession. Journal of Financial Counseling and Planning, 28(2), 196-212.
doi: 10.1891/1052-3073.28.2.196 URL |
[20] |
Kraus, M. W., & Callaghan, B. (2016). Social class and prosocial behavior: The moderating role of public versus private contexts. Social Psychological and Personality Science, 7(8), 769-777.
doi: 10.1177/1948550616659120 URL |
[21] |
Kraus, M. W., Piff, P. K., Mendoza-Denton, R., Rheinschmidt, M. L., & Keltner, D. (2012). Social class, solipsism, and contextualism: How the rich are different from the poor. Psychological Review, 119(3), 546-572.
doi: 10.1037/a0028756 pmid: 22775498 |
[22] |
Korndörfer, M., Egloff, B., & Schmukle, S. C. (2015). A large scale test of the effect of social class on prosocial behavior. PloS One, 10(7), e0133193.
doi: 10.1371/journal.pone.0133193 URL |
[23] |
Kuang, Y., Wang, F., & Wang, Z. J. (2021). Social class and children’s prosociality: A study in the context of China’ s dual urban-rural structure. Social Psychological and Personality Science, 12(1), 63-70.
doi: 10.1177/1948550619887698 URL |
[24] |
Lee, J. (2018). Can a rude waiter make your food less tasty? Social class differences in thinking style and carryover in consumer judgments. Journal of Consumer Psychology, 28(3), 450-465.
doi: 10.1002/jcpy.2018.28.issue-3 URL |
[25] |
Leo, A. (2020). Success and failure in the “land of opportunities”: How social class informs educational attitudes among newcomer immigrants and refugees. American Educational Research Journal, 57(4), 1567-1591.
doi: 10.3102/0002831219876596 URL |
[26] |
Manstead, A. S. (2018). The psychology of social class: How socioeconomic status impacts thought, feelings, and behaviour. British Journal of Social Psychology, 57(2), 267-291.
doi: 10.1111/bjso.12251 pmid: 29492984 |
[27] |
Miyamoto, Y., Yoo, J., Levine, C. S., Park, J., Boylan, J. M., Sims, T.,... Ryff, C. D. (2018). Culture and social hierarchy: Self-and other-oriented correlates of socioeconomic status across cultures. Journal of Personality and Social Psychology, 115(3), 427-445.
doi: 10.1037/pspi0000133 pmid: 29771553 |
[28] | Mullainathan, S., & Shafir, E. (2013). Decision making and policy in contexts of poverty. Behavioral Foundations of Public Policy, 281-300. |
[29] |
Murphy, R. O., Ackermann, K. A., & Handgraaf, M. (2011). Measuring social value orientation. Judgment and Decision Making, 6(8), 771-781.
doi: 10.1017/S1930297500004204 URL |
[30] |
Murstein, B. I., & Pryer, R. S. (1959). The concept of projection: A review. Psychological Bulletin, 56(5), 353-374.
doi: 10.1037/h0040177 URL |
[31] |
Page, B. I., Bartels, L. M., & Seawright, J. (2013). Democracy and the policy preferences of wealthy Americans. Perspectives on Politics, 11(1), 51-73.
doi: 10.1017/S153759271200360X URL |
[32] | Neumann, D. L., Chan, R. C., Boyle, G. J., Wang, Y., & Westbury, H. R. (2015). Measures of empathy: Self-report, behavioral, and neuroscientific approaches. Measures of Personality and Social Psychological Constructs, 257-289. |
[33] |
Piff, P. K., Kraus, M. W., Côté, S., Cheng, B. H., & Keltner, D. (2010). Having less, giving more: The influence of social class on prosocial behavior. Journal of Personality and Social Psychology, 99(5), 771-784.
doi: 10.1037/a0020092 pmid: 20649364 |
[34] | Piff, P. K., & Moskowitz, J. P. (2017, Mar.). The class- compassion gap:How socioeconomic factors influence. The Oxford Handbook of Compassion Science, 317-330. |
[35] |
Piff, P. K., & Robinson, A. R. (2017). Social class and prosocial behavior: Current evidence, caveats, and questions. Current Opinion in Psychology, 18, 6-10.
doi: S2352-250X(17)30044-1 pmid: 29221512 |
[36] |
Schmukle, S. C., dörfer, M., & Egloff, B. (2019). No evidence that economic inequality moderates the effect of income on generosity. Proceedings of the National Academy of Sciences, 116(20), 9790-9795.
doi: 10.1073/pnas.1807942116 URL |
[37] | Sheehy-Skeffington, J. (2019). Inequality from the bottom up: Toward a “Psychological Shift” model of decision-making under socioeconomic threat. In The Social Psychology of Inequality (pp. 213-231). Springer, Cham. |
[38] |
Smeets, P., Bauer, R., & Gneezy, U. (2015). Giving behavior of millionaires. Proceedings of the National Academy of Sciences, 112(34), 10641-10644.
doi: 10.1073/pnas.1507949112 URL |
[39] | Sun, Q., Guo, H., Wang, J., Zhang, J., Jiang, C., & Liu, Y. (2021). Differences in cooperation between social dilemmas of gain and loss. Judgment & Decision Making, 16(6), 1506-1524. |
[40] |
Sun, Q., Polman, E., & Zhang, H. (2021). On prospect theory, making choices for others, and the affective psychology of risk. Journal of Experimental Social Psychology, 96, 104177.
doi: 10.1016/j.jesp.2021.104177 URL |
[41] |
Sun, Q., Lu, J., Zhang, H., & Liu, Y. (2021). Social distance reduces the biases of overweighting small probabilities and underweighting large probabilities. Personality and Social Psychology Bulletin, 47(8), 1309-1324.
doi: 10.1177/0146167220969051 pmid: 33331239 |
[42] |
Van Doesum, N. J., Tybur, J. M., & Van Lange, P. A. (2017). Class impressions: Higher social class elicits lower prosociality. Journal of Experimental Social Psychology, 68, 11-20.
doi: 10.1016/j.jesp.2016.06.001 URL |
[43] |
Vieites, Y., Goldszmidt, R., & Andrade, E. B. (2022). Social class shapes donation allocation preferences. Journal of Consumer Research, 48(5), 775-795.
doi: 10.1093/jcr/ucab033 URL |
[44] |
Yang, S., Rao, T., Yu, F., & Guo, Y. (2022). Subjective class research in psychology of social class: Its contributions and deficiencies. Advances in Psychological Science, 30(8), 1883-1893.
doi: 10.3724/SP.J.1042.2022.01883 |
[杨沈龙, 饶婷婷, 喻丰, 郭永玉. (2022). 主观阶层研究取向的贡献与弊端. 心理科学进展, 30(8), 1883-1893.]
doi: 10.3724/SP.J.1042.2022.01883 |
|
[45] | Yang, T., & Zhu, J. (2022). Blue book of philanthropy: Annual report on China’s philanthropy development (2022). Beijing: Social Sciences Academic Press. |
[杨团, 朱健刚. (2022). 慈善蓝皮书:中国慈善发展报告(2022). 北京: 社会科学文献出版社.] | |
[46] |
Yang, S. L., Xu, B. X., Yu, F., & Guo, Y. Y. (2019). Revisiting the status-legitimacy hypothesis: Concepts, boundary conditions, and psychological mechanisms. Journal of Pacific Rim Psychology, 13, e20.
doi: 10.1017/prp.2019.15 URL |
[47] |
Yoon, S., & Kim, H. C. (2018). Feeling economically stuck: The effect of perceived economic mobility and socioeconomic status on variety seeking. Journal of Consumer Research, 44(5), 1141-1156.
doi: 10.1093/jcr/ucx091 URL |
[48] |
Zeng, Z., Bai, J., Guo, Y., Zhang, Y., & Gu, Y. (2022). Are richer people less supportive of redistribution? The relationship between social class and redistribution preference and its psychological mechanism. Advances in Psychological Science, 30(6), 1336-1349.
doi: 10.3724/SP.J.1042.2022.01336 |
[曾昭携, 白洁, 郭永玉, 张跃, 顾玉婷. (2022). 越富有越不支持再分配?——社会阶层与再分配偏向的关系及其心理机制. 心理科学进展, 30(6), 1336-1349.]
doi: 10.3724/SP.J.1042.2022.01336 |
|
[49] |
Zhao, X. R., & Namasivayam, K. (2012). The relationship of chronic regulatory focus to work-family conflict and job satisfaction. International Journal of Hospitality Management, 31(2), 458-467.
doi: 10.1016/j.ijhm.2011.07.004 URL |
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