School of Business Administration, Universidad del Rosario, Bogotá, Colombia.
Faculty of Economics, Universidad Nacional de Colombia, Bogotá, Colombia.
Front Public Health. 2023 Feb 10;11:960321. doi: 10.3389/fpubh.2023.960321. eCollection 2023.
This study provides a first approach to the use of the Multiple-Choice Procedure in social media networks use, as well as empirical evidence for the application of the Behavioral Perspective Model to digital consumption behavior in young users in conjunction with a methodology based on behavioral economics.
PARTICIPANTS/METHODS: The participants were part of a large university in Bogotá, Colombia, and they received an academic credit once they completed the online questionnaire. A total of 311 participants completed the experiment. Of the participants, 49% were men with a mean age of 20.6 years (SD = 3.10, Range = 15-30); 51% were women with a mean age of 20.2 years (SD = 2.84, Range = 15-29).
Among the total participants, 40% reported that they used social networks between 1 and 2 h a day, 38% between 2 and 3 h, 16% for 4 h or more, and the remaining 9% used them for 1 h or less per day. The factorial analysis of variance (ANOVA) allowed us to identify a statistically significant effect of the delay of the alternative reinforcer, that is, the average crossover points were higher when the monetary reinforcer was delayed 1 week, compared to the immediate delivery of the monetary reinforcer. There was no statistically significant effect of the interaction between the magnitude of the reinforcer and the delay time of the alternative reinforcer.
This study supports the relative reinforcing value of an informational reinforcement consequence such as social media use, which is sensitive to both the magnitude of reinforcement and the delay in delivery as individual factors. The findings on reinforcer magnitude and delay effects are consistent with previous research that have applied behavioral economics to the study of non-substance-related addictions.
本研究首次将多项选择程序应用于社交媒体网络使用,并结合基于行为经济学的数字消费行为行为视角模型,为年轻用户的数字消费行为提供实证依据。
参与者/方法:参与者来自哥伦比亚波哥大的一所大型大学,他们在完成在线问卷后获得学术学分。共有 311 名参与者完成了实验。参与者中,男性占 49%,平均年龄为 20.6 岁(SD=3.10,范围为 15-30);女性占 51%,平均年龄为 20.2 岁(SD=2.84,范围为 15-29)。
在所有参与者中,40%的人报告每天使用社交网络 1-2 小时,38%的人每天使用 2-3 小时,16%的人每天使用 4 小时或更长时间,其余 9%的人每天使用社交网络 1 小时或更少。方差分析(ANOVA)的因子分析允许我们识别替代强化物延迟的统计上显著影响,即当金钱强化物延迟 1 周时,平均交叉点更高,与立即提供金钱强化物相比。强化物大小与替代强化物延迟时间之间的相互作用没有统计学上的显著影响。
这项研究支持信息强化后果(如社交媒体使用)的相对强化价值,这对强化的大小和延迟交付作为个体因素都很敏感。关于强化物大小和延迟效应的发现与之前应用行为经济学研究非物质成瘾的研究结果一致。