心理学报 ›› 2024, Vol. 56 ›› Issue (11): 1585-1603.doi: 10.3724/SP.J.1041.2024.01585 cstr: 32110.14.2024.01585
收稿日期:
2023-12-21
发布日期:
2024-09-05
出版日期:
2024-11-25
通讯作者:
柳武妹, E-mail: wumeijiayou@163.com基金资助:
Received:
2023-12-21
Online:
2024-09-05
Published:
2024-11-25
摘要:
恐怖娱乐消费是指对唤起恐惧和害怕情绪的体验或产品的消费(如, 观看恐怖电影)。以往研究表明, 消费者会出于不同的动机和原因消费恐怖体验及产品。由于消费者过去的经历会对其后续消费偏好产生重要影响, 因此, 本文基于跨情境视角探究了影响消费者恐怖娱乐消费偏好的前因。通过一项二手数据研究和6项实验研究, 本文发现先前参与创造性活动(vs.非创造性活动)会促进消费者随后对恐怖娱乐消费的偏好与选择, 自我效能的提升是中介机制。此外, 本文还表明, 创造性活动参与对消费者的恐怖娱乐消费偏好的影响受到反馈效价以及活动难度的调节。本文对已有的消费者创造力研究和恐怖娱乐消费研究做出了推进, 对恐怖娱乐产业提供了实践启示。
中图分类号:
杨巧英, 柳武妹. (2024). 创造性活动参与是否促进了恐怖娱乐消费?来自二手数据和实验的证据. 心理学报, 56(11), 1585-1603.
YANG Qiaoying, LIU Wumei. (2024). Does engaging in creative activities increase consumers’ preference for horror entertainment consumption? Evidence from secondary data study and experiments. Acta Psychologica Sinica, 56(11), 1585-1603.
研究 | 样本量 | 样本来源 | 方法 | 研究设计 | 备择解释 | 因变量 | 研究结果 |
---|---|---|---|---|---|---|---|
研究1 | 589 | 二手数据 | 二手数据 | / | / | 恐怖电影票房 | 支持H1 |
研究2 | 200 | 中国被试 | 线上实验 | 2 (活动类型: 创造性活动 vs. 非创造性活动) 单因素被试间设计 | 情绪 | 对恐怖体验的一般偏好 | 支持H1 |
研究3 | 130 | 学生 | 实验室实验 | 2 (活动类型: 创造性活动 vs. 非创造性活动) 单因素被试间设计 | 情绪 | 参加恐怖主题活动的意愿 | 支持H1 |
研究4a | 200 | 中国被试 | 线上实验 | 2 (活动类型: 创造性活动 vs. 非创造性活动) 单因素被试间设计 | 新体验寻求 | 尝试恐怖流媒体服务的意愿 | 支持H2 |
研究4b | 200 | 中国被试 | 线上实验 | 2 (活动类型: 创造性活动 vs. 非创造性活动) 单因素被试间设计 | 创意灵感体验、愉悦感 | 恐怖电影偏好 | 支持H2 |
研究5 (预注册) | 400 | 美国被试 | 线上实验 | 2 (活动类型: 创造性活动 vs. 非创造性活动) × 2 (反馈效价: 积极 vs. 消极) 双因素被试间设计 | / | 恐怖电影偏好 | 支持H3 |
研究6 (预注册) | 340 | 学生 | 实验室实验 | 2 (活动类型: 创造性活动 vs. 非创造性活动) × 2 (活动难度: 高 vs. 低) 双因素被试间设计 | / | 恐怖有声书选择 | 支持H4 |
表1 研究总览表
研究 | 样本量 | 样本来源 | 方法 | 研究设计 | 备择解释 | 因变量 | 研究结果 |
---|---|---|---|---|---|---|---|
研究1 | 589 | 二手数据 | 二手数据 | / | / | 恐怖电影票房 | 支持H1 |
研究2 | 200 | 中国被试 | 线上实验 | 2 (活动类型: 创造性活动 vs. 非创造性活动) 单因素被试间设计 | 情绪 | 对恐怖体验的一般偏好 | 支持H1 |
研究3 | 130 | 学生 | 实验室实验 | 2 (活动类型: 创造性活动 vs. 非创造性活动) 单因素被试间设计 | 情绪 | 参加恐怖主题活动的意愿 | 支持H1 |
研究4a | 200 | 中国被试 | 线上实验 | 2 (活动类型: 创造性活动 vs. 非创造性活动) 单因素被试间设计 | 新体验寻求 | 尝试恐怖流媒体服务的意愿 | 支持H2 |
研究4b | 200 | 中国被试 | 线上实验 | 2 (活动类型: 创造性活动 vs. 非创造性活动) 单因素被试间设计 | 创意灵感体验、愉悦感 | 恐怖电影偏好 | 支持H2 |
研究5 (预注册) | 400 | 美国被试 | 线上实验 | 2 (活动类型: 创造性活动 vs. 非创造性活动) × 2 (反馈效价: 积极 vs. 消极) 双因素被试间设计 | / | 恐怖电影偏好 | 支持H3 |
研究6 (预注册) | 340 | 学生 | 实验室实验 | 2 (活动类型: 创造性活动 vs. 非创造性活动) × 2 (活动难度: 高 vs. 低) 双因素被试间设计 | / | 恐怖有声书选择 | 支持H4 |
变量名 | 观测值 | 均值 | 标准差 | 最小值 | 最大值 |
---|---|---|---|---|---|
GII | 1198 | 36.89 | 11.65 | 12.66 | 68.4 |
恐怖电影票房 | 589 | 1626022 | 8066882 | 29 | 1.28e+08 |
爱情电影票房 | 2161 | 1713296 | 8056934 | 761 | 1.75e+08 |
纪录片电影票房 | 2925 | 40462.8 | 2309103 | 13 | 7.30e+07 |
年电影总票房 | 603 | 3.17e+08 | 1.26e+09 | 8163 | 1.14e+10 |
GDP | 661 | 8.35e+11 | 2.26e+12 | 2.62e+09 | 2.14e+13 |
GNI | 661 | 7.99e+11 | 2.27e+12 | 2.37e+09 | 2.17e+13 |
表2 研究1中相关变量的描述性统计结果
变量名 | 观测值 | 均值 | 标准差 | 最小值 | 最大值 |
---|---|---|---|---|---|
GII | 1198 | 36.89 | 11.65 | 12.66 | 68.4 |
恐怖电影票房 | 589 | 1626022 | 8066882 | 29 | 1.28e+08 |
爱情电影票房 | 2161 | 1713296 | 8056934 | 761 | 1.75e+08 |
纪录片电影票房 | 2925 | 40462.8 | 2309103 | 13 | 7.30e+07 |
年电影总票房 | 603 | 3.17e+08 | 1.26e+09 | 8163 | 1.14e+10 |
GDP | 661 | 8.35e+11 | 2.26e+12 | 2.62e+09 | 2.14e+13 |
GNI | 661 | 7.99e+11 | 2.27e+12 | 2.37e+09 | 2.17e+13 |
DV | 恐怖电影票房 | 爱情电影票房 | 纪录片电影票房 | ||||||
---|---|---|---|---|---|---|---|---|---|
Model_1 | Model_2 | Model_3 | Model_1 | Model_2 | Model_3 | Model_1 | Model_2 | Model_3 | |
GII | 0.13*** (0.03) | 0.56* (0.23) | 0.56* (0.25) | 0.12*** (0.02) | −0.23* (0.10) | −0.10 (0.11) | 0.02** (0.01) | −0.13* (0.05) | −0.01 (0.06) |
国家层面固定效应 | Yes | Yes | Yes | Yes | Yes | Yes | |||
年份固定效应 | Yes | Yes | Yes | Yes | Yes | Yes | |||
电影层面固定效应 | Yes | Yes | Yes | Yes | Yes | Yes | |||
年电影总票房 | 1.14e−08 (1.29e−08) | −2.16e−09 (3.21e−10) | −2.10e−10 (6.07e−11) | ||||||
GDP | −8.97e−12 (1.08e−11) | −4.92e−12 (2.05e−12) | −9.02e−13 (6.39e−13) | ||||||
GNI | 1.24e−11 (9.66e−12) | 1.59e−12 (2.23e−12) | 2.76e−13 (6.48e−13) | ||||||
常数项 | −4.34 (1.36) | −52.44 (16.62) | −45.23 (17.88) | −3.72 (0.76) | 13.73 (7.52) | 8.44 (7.68) | −0.46 (.25) | 8.14 (3.76) | 0.92 (3.96) |
AIC | 7.00 | 6.93 | 6.93 | 7.00 | 6.87 | 6.86 | 4.51 | 5.07 | 5.06 |
表3 研究1中对恐怖电影票房、爱情电影票房和纪录片电影票房的分析结果
DV | 恐怖电影票房 | 爱情电影票房 | 纪录片电影票房 | ||||||
---|---|---|---|---|---|---|---|---|---|
Model_1 | Model_2 | Model_3 | Model_1 | Model_2 | Model_3 | Model_1 | Model_2 | Model_3 | |
GII | 0.13*** (0.03) | 0.56* (0.23) | 0.56* (0.25) | 0.12*** (0.02) | −0.23* (0.10) | −0.10 (0.11) | 0.02** (0.01) | −0.13* (0.05) | −0.01 (0.06) |
国家层面固定效应 | Yes | Yes | Yes | Yes | Yes | Yes | |||
年份固定效应 | Yes | Yes | Yes | Yes | Yes | Yes | |||
电影层面固定效应 | Yes | Yes | Yes | Yes | Yes | Yes | |||
年电影总票房 | 1.14e−08 (1.29e−08) | −2.16e−09 (3.21e−10) | −2.10e−10 (6.07e−11) | ||||||
GDP | −8.97e−12 (1.08e−11) | −4.92e−12 (2.05e−12) | −9.02e−13 (6.39e−13) | ||||||
GNI | 1.24e−11 (9.66e−12) | 1.59e−12 (2.23e−12) | 2.76e−13 (6.48e−13) | ||||||
常数项 | −4.34 (1.36) | −52.44 (16.62) | −45.23 (17.88) | −3.72 (0.76) | 13.73 (7.52) | 8.44 (7.68) | −0.46 (.25) | 8.14 (3.76) | 0.92 (3.96) |
AIC | 7.00 | 6.93 | 6.93 | 7.00 | 6.87 | 6.86 | 4.51 | 5.07 | 5.06 |
稳健性检验 | 恐怖电影票房 | 爱情电影票房 | 纪录片电影票房 | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
b | SE | z | p | b | SE | z | p | b | SE | z | p | ||
稳健性检验一 | Model_1 | 0.10*** | 0.02 | 5.30 | 0.000 | 0.08*** | 0.01 | 9.01 | 0.000 | 0.01*** | 0.001 | 5.51 | 0.000 |
Model_2 | 0.28* | 0.13 | 2.19 | 0.028 | −0.13* | 0.06 | −2.28 | 0.023 | −0.12 | 0.09 | −1.38 | 0.168 | |
Model_3 | 0.29* | 0.14 | 2.16 | 0.031 | −0.11 | 0.06 | −1.85 | 0.064 | −0.02 | 0.02 | −.94 | 0.345 | |
稳健性检验二 | Model_1 | 0.04*** | 0.01 | 5.42 | 0.000 | 0.04*** | 0.00 | 9.28 | 0.000 | 0.01*** | 0.001 | 6.12 | 0.000 |
Model_2 | 0.09 | 0.05 | 1.90 | 0.058 | −0.07** | 0.03 | −2.70 | 0.007 | −0.01 | 0.01 | −0.64 | 0.523 | |
Model_3 | 0.12* | 0.05 | 2.26 | 0.024 | −0.07* | 0.03 | −2.33 | 0.020 | −0.01 | 0.01 | −0.74 | 0.460 | |
稳健性检验三 | Model_1 | 0.13*** | 0.03 | 5.30 | 0.000 | 0.12*** | 0.01 | 9.01 | 0.000 | 0.05*** | 0.01 | 5.51 | 0.000 |
Model_2 | 0.39* | 0.18 | 2.19 | 0.028 | −0.17* | 0.08 | −2.28 | 0.023 | −0.12 | 0.09 | −1.38 | 0.168 | |
Model_3 | 0.40* | 0.19 | 2.15 | 0.032 | −0.15 | 0.08 | −1.85 | 0.064 | −0.08 | 0.09 | −0.94 | 0.346 |
表4 研究1的稳健性检验结果
稳健性检验 | 恐怖电影票房 | 爱情电影票房 | 纪录片电影票房 | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
b | SE | z | p | b | SE | z | p | b | SE | z | p | ||
稳健性检验一 | Model_1 | 0.10*** | 0.02 | 5.30 | 0.000 | 0.08*** | 0.01 | 9.01 | 0.000 | 0.01*** | 0.001 | 5.51 | 0.000 |
Model_2 | 0.28* | 0.13 | 2.19 | 0.028 | −0.13* | 0.06 | −2.28 | 0.023 | −0.12 | 0.09 | −1.38 | 0.168 | |
Model_3 | 0.29* | 0.14 | 2.16 | 0.031 | −0.11 | 0.06 | −1.85 | 0.064 | −0.02 | 0.02 | −.94 | 0.345 | |
稳健性检验二 | Model_1 | 0.04*** | 0.01 | 5.42 | 0.000 | 0.04*** | 0.00 | 9.28 | 0.000 | 0.01*** | 0.001 | 6.12 | 0.000 |
Model_2 | 0.09 | 0.05 | 1.90 | 0.058 | −0.07** | 0.03 | −2.70 | 0.007 | −0.01 | 0.01 | −0.64 | 0.523 | |
Model_3 | 0.12* | 0.05 | 2.26 | 0.024 | −0.07* | 0.03 | −2.33 | 0.020 | −0.01 | 0.01 | −0.74 | 0.460 | |
稳健性检验三 | Model_1 | 0.13*** | 0.03 | 5.30 | 0.000 | 0.12*** | 0.01 | 9.01 | 0.000 | 0.05*** | 0.01 | 5.51 | 0.000 |
Model_2 | 0.39* | 0.18 | 2.19 | 0.028 | −0.17* | 0.08 | −2.28 | 0.023 | −0.12 | 0.09 | −1.38 | 0.168 | |
Model_3 | 0.40* | 0.19 | 2.15 | 0.032 | −0.15 | 0.08 | −1.85 | 0.064 | −0.08 | 0.09 | −0.94 | 0.346 |
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