心理学报 ›› 2022, Vol. 54 ›› Issue (12): 1532-1547.doi: 10.3724/SP.J.1041.2022.01532
刘楠1, 安薪如1, 李爱梅1(), 刘培2, 孙海龙3()
收稿日期:
2022-01-28
发布日期:
2022-09-23
出版日期:
2022-12-25
通讯作者:
李爱梅,孙海龙
E-mail:tliaim@jun.edu.cn;sunhailong@gdufs.edu.cn
基金资助:
LIU Nan1, AN Xinru1, LI Aimei1(), LIU Pei2, SUN Hailong3()
Received:
2022-01-28
Online:
2022-09-23
Published:
2022-12-25
Contact:
LI Aimei,SUN Hailong
E-mail:tliaim@jun.edu.cn;sunhailong@gdufs.edu.cn
摘要:
新冠疫情肆虐背景下, 如何说服人们接种新冠疫苗引发了政策制定者和研究者的关注。文章从趋近-回避动机的视角, 探讨了不同目标框架(积极vs. 消极)和时间距离(现在vs. 未来)对疫苗说服有效性的影响。结果发现:当宣传语关注现在时, “现在-消极”目标框架更能有效说服疫苗接种; 而当宣传语关注未来时, 则“未来-积极”目标框架更有说服力。其内在机制在于“现在-消极”目标框架启动的回避动机更强, 而“未来-积极”目标框架启动的趋近动机更强。此外, 疫情风险进一步影响目标框架与时间距离对疫苗说服的有效性。本研究从趋避动机的视角揭示了框架效应的理论机制和应用边界; 同时也为助推新冠疫苗以及未来其他疫苗接种提供实践指导, 具有重要的科学价值和实践指导意义。
中图分类号:
刘楠, 安薪如, 李爱梅, 刘培, 孙海龙. (2022). 现在避害, 未来趋利:目标框架和时间距离交互影响疫苗说服有效性. 心理学报, 54(12), 1532-1547.
LIU Nan, AN Xinru, LI Aimei, LIU Pei, SUN Hailong. (2022). How goal framing and temporal distance influence the effectiveness of COVID-19 vaccine persuasion. Acta Psychologica Sinica, 54(12), 1532-1547.
实验条件 | n | 接种意愿(M ± SD) | 预约接种人数(比率) | 趋近动机(M ± SD) | 回避动机(M ± SD) |
---|---|---|---|---|---|
现在-积极 | 62 | 5.79 ± 1.32 | 42(67.74%) | 5.76 ± 1.20 | 6.02 ± 1.08 |
现在-消极 | 77 | 6.18 ± 0.88 | 64(83.12%) | 5.90 ± 1.11 | 6.36 ± 0.89 |
未来-积极 | 77 | 6.12 ± 0.84 | 64(83.12%) | 6.13 ± 0.78 | 6.17 ± 0.86 |
未来-消极 | 76 | 5.70 ± 1.37 | 51(67.11%) | 5.75 ± 1.22 | 5.99 ± 1.08 |
表1 不同实验条件下被试的接种人数、接种意愿及趋近回避动机(N = 292)
实验条件 | n | 接种意愿(M ± SD) | 预约接种人数(比率) | 趋近动机(M ± SD) | 回避动机(M ± SD) |
---|---|---|---|---|---|
现在-积极 | 62 | 5.79 ± 1.32 | 42(67.74%) | 5.76 ± 1.20 | 6.02 ± 1.08 |
现在-消极 | 77 | 6.18 ± 0.88 | 64(83.12%) | 5.90 ± 1.11 | 6.36 ± 0.89 |
未来-积极 | 77 | 6.12 ± 0.84 | 64(83.12%) | 6.13 ± 0.78 | 6.17 ± 0.86 |
未来-消极 | 76 | 5.70 ± 1.37 | 51(67.11%) | 5.75 ± 1.22 | 5.99 ± 1.08 |
实验条件 | n | 接种意愿(M ± SD) | 预约接种人数(比率) |
---|---|---|---|
趋近动机启动 | |||
现在-积极 | 45 | 6.11 ± 0.71 | 33(73.33%) |
现在-消极 | 44 | 6.00 ± 0.87 | 33(75.00%) |
未来-积极 | 43 | 6.21 ± 0.83 | 35(81.40%) |
未来-消极 | 42 | 5.67 ± 0.72 | 27(64.29%) |
回避动机启动 | |||
现在-积极 | 44 | 5.64 ± 0.69 | 29(65.91%) |
现在-消极 | 43 | 6.37 ± 0.69 | 36(83.72%) |
未来-积极 | 43 | 6.05 ± 0.84 | 33(76.74%) |
未来-消极 | 43 | 6.09 ± 0.68 | 35(81.40%) |
表2 不同条件下的接种意愿及接种人数(N = 347)
实验条件 | n | 接种意愿(M ± SD) | 预约接种人数(比率) |
---|---|---|---|
趋近动机启动 | |||
现在-积极 | 45 | 6.11 ± 0.71 | 33(73.33%) |
现在-消极 | 44 | 6.00 ± 0.87 | 33(75.00%) |
未来-积极 | 43 | 6.21 ± 0.83 | 35(81.40%) |
未来-消极 | 42 | 5.67 ± 0.72 | 27(64.29%) |
回避动机启动 | |||
现在-积极 | 44 | 5.64 ± 0.69 | 29(65.91%) |
现在-消极 | 43 | 6.37 ± 0.69 | 36(83.72%) |
未来-积极 | 43 | 6.05 ± 0.84 | 33(76.74%) |
未来-消极 | 43 | 6.09 ± 0.68 | 35(81.40%) |
实验条件 | N | 接种意愿(M ± SD) | 预约接种人数(比率) | 趋近动机(M ± SD) | 回避动机(M ± SD) |
---|---|---|---|---|---|
低疫情风险 | |||||
现在-积极 | 48 | 5.44 ± 1.41 | 33(68.75%) | 5.58 ± 1.27 | 5.58 ± 1.53 |
现在-消极 | 49 | 5.98 ± 1.22 | 41(83.67%) | 5.77 ± 1.34 | 6.29 ± 0.98 |
未来-积极 | 49 | 6.08 ± 1.27 | 40(81.63%) | 6.18 ± 1.09 | 5.86 ± 1.50 |
未来-消极 | 47 | 5.49 ± 1.34 | 30(63.83%) | 5.53 ± 1.02 | 5.64 ± 1.37 |
高疫情风险 | |||||
现在-积极 | 61 | 6.41 ± 0.67 | 60(98.36%) | 6.36 ± 0.88 | 5.89 ± 1.17 |
现在-消极 | 56 | 6.52 ± 0.54 | 54(96.43%) | 6.39 ± 0.76 | 5.88 ± 1.05 |
未来-积极 | 52 | 6.44 ± 0.67 | 51(98.08%) | 6.44 ± 0.78 | 5.58 ± 1.18 |
未来-消极 | 61 | 6.05 ± 1.06 | 52(85.24%) | 6.18 ± 1.06 | 5.64 ± 1.02 |
表3 不同实验条件下的接种意愿、预约接种人数及趋近回避动机(N = 423)
实验条件 | N | 接种意愿(M ± SD) | 预约接种人数(比率) | 趋近动机(M ± SD) | 回避动机(M ± SD) |
---|---|---|---|---|---|
低疫情风险 | |||||
现在-积极 | 48 | 5.44 ± 1.41 | 33(68.75%) | 5.58 ± 1.27 | 5.58 ± 1.53 |
现在-消极 | 49 | 5.98 ± 1.22 | 41(83.67%) | 5.77 ± 1.34 | 6.29 ± 0.98 |
未来-积极 | 49 | 6.08 ± 1.27 | 40(81.63%) | 6.18 ± 1.09 | 5.86 ± 1.50 |
未来-消极 | 47 | 5.49 ± 1.34 | 30(63.83%) | 5.53 ± 1.02 | 5.64 ± 1.37 |
高疫情风险 | |||||
现在-积极 | 61 | 6.41 ± 0.67 | 60(98.36%) | 6.36 ± 0.88 | 5.89 ± 1.17 |
现在-消极 | 56 | 6.52 ± 0.54 | 54(96.43%) | 6.39 ± 0.76 | 5.88 ± 1.05 |
未来-积极 | 52 | 6.44 ± 0.67 | 51(98.08%) | 6.44 ± 0.78 | 5.58 ± 1.18 |
未来-消极 | 61 | 6.05 ± 1.06 | 52(85.24%) | 6.18 ± 1.06 | 5.64 ± 1.02 |
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