开发社交媒体自我介绍差异尺度 (SMSDS):自我介绍和印象管理策略的心理和社会影响
1Bursa Uludag University.
The Journal of social psychology
|February 16, 2026
概括
研究人员开发了社交媒体自我介绍差异尺度 (SMSDS) 来衡量人们在网上如何不同地呈现自己. 这种新的尺度有助于理解社交媒体用户的数字自我表现和相关风险.
科学领域:
- 心理学 心理学 心理学
- 社交媒体研究 社交媒体研究
- 数字行为分析 数字行为分析
背景情况:
- 社交媒体环境促进了复杂的自我表达策略.
- 现有的理论,如自我差异和印象管理,为了解在线身份的理解提供了信息.
- 评估在线真实和呈现的自我之间的差异对于心理洞察至关重要.
研究的目的:
- 开发和验证社交媒体自我介绍差异量表 (SMSDS).
- 为个人倾向于在社交媒体上呈现不一致的自我表现提供定量衡量标准.
- 建立一个工具来评估社交媒体使用的心理方面.
主要方法:
- 使用探索性和确认性因子分析来确定尺度的结构.
- 统计分析证实了尺度的内部一致性,构造有效性和测量不变性.
- 该尺度是基于已建立的自我介绍和印象管理理论开发的.
主要成果:
- 确定了SMSDS的三要素结构:现实扭曲和夸大,理想化自我呈现和战略印象管理.
- 该尺度表现出强大的心理测量特性,包括高的内部一致性和有效性.
- 该研究成功验证了SMSDS作为可靠的评估工具.
结论:
- SMSDS是评估社交媒体自我呈现心理方面的功能工具.
- 该尺度可以帮助识别危险的数字行为,并为干预计划提供信息.
- 研究结果增强了对在线环境中多维自我介绍策略的理解.
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