当大学生变得更加感激时,在网上发生了什么? 一个综合性干预研究研究
Wenfeng Zheng1, Jianwei Zhang2, Mengmeng Fu2
1Faculty of Education, Shaanxi Xueqian Normal University, Xian, China.
Acta psychologica
|January 25, 2026
概括
感恩干预可以增加积极的在线互动,并减少大学生在线负面行为. 这项研究表明,一个为期10天的计划有效地改善了在线亲社会行为,并减少了超过一个月的偏离行为.
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
- 人际关系行为 人际关系行为
背景情况:
- 感恩干预对在线人际行为的影响尚不清楚.
- 现有的研究还没有明确证明,培养感恩是否会影响在线亲社会和偏离行为的行为.
研究的目的:
- 检查在线感恩干预措施在修改大学生在线人际行为的有效性.
- 评估干预措施降低在线偏差行为的能力并增加在线亲社会行为的能力.
- 通过寻找-提醒-绑定理论来测试一种调解模型,将感恩,关系能量和在线行为联系起来.
主要方法:
- 对大学生进行了为期10天的整合性在线感恩干预.
- 在线亲社会行为和偏差行为在干预前和干预后被测量,随访时间为一个月.
- 进行了调解分析,以探索关系能量的作用.
主要成果:
- 与对照组相比,感恩干预显著增加了在线亲社会行为.
- 在干预组中,在线偏差行为显著减少.
- 关系能量调解了感恩干预和在线人际行为之间的关系.
结论:
- 在线感恩干预在促进积极的在线社交互动方面是有效的.
- 感恩干预可以作为预防或减少大学生负面在线行为的工具.
- 这些发现为教育工作者提供了一种实际的方法,以提高在线学生的行为.
相关概念视频
Student t Distribution
13.6K
The population standard deviation is rarely known in many day-to-day examples of statistics. When the sample sizes are large, it is easy to estimate the population standard deviation using a confidence interval, which provides results close enough to the original value. However, statisticians ran into problems when the sample size was small. A small sample size caused inaccuracies in the confidence interval.
The Student t distribution was developed by William S. Goset (1876–1937) of the...
The Student t distribution was developed by William S. Goset (1876–1937) of the...
13.6K
Microsoft Excel: Student's t-Test
1.6K
Student's t-test in Microsoft Excel is a statistical method used to compare the means of two groups to determine if they are significantly different from each other. It's commonly used to evaluate hypotheses, such as testing whether a treatment has an effect compared to a control group. Excel provides built-in functions to perform t-tests, making it accessible for users needing to conduct basic statistical analysis.
To conduct a t-test in Excel, use the T.TEST function or the "Data...
To conduct a t-test in Excel, use the T.TEST function or the "Data...
1.6K
Nursing Interventions I: Taxonomy of Nursing Interventions
3.7K
Nursing interventions are chosen as part of the planning process to achieve patient outcomes. Once nursing diagnoses are determined, the goals and outcomes are specified, then the nursing interventions are selected and individualized according to the patient's situation.
A nursing intervention is a treatment or action based on scientific concepts and knowledge from the nursing, behavioral, and physical sciences. Identifying and prioritizing nursing interventions based on the desired outcome...
A nursing intervention is a treatment or action based on scientific concepts and knowledge from the nursing, behavioral, and physical sciences. Identifying and prioritizing nursing interventions based on the desired outcome...
3.7K
Case Studies
13.4K
There are many research methods available to psychologists in their efforts to understand, describe, and explain behavior and the cognitive and biological processes that underlie it.
13.4K
Nursing Interventions II: Selecting and Classifying the Nursing Interventions
3.1K
Creating and executing a nursing diagnosis helps nurses plan care and guide patient, family, and community interventions. They are developed based on a patient's physical evaluation and support measuring the outcomes. It is not recommended to select random interventions throughout the planning process. Instead, consider the following six essential factors when choosing interventions:
3.1K
Comparing Experimental Results: Student's t-Test
5.3K
The t-test is a statistical method used to compare the sample mean with a population mean or compare two means from two data sets. The test statistic is calculated from the standard deviation, mean, and number of measurements in the data set at a selected confidence interval and then compared to a table of critical values at this confidence level. If the test statistic is smaller than the critical value, the null hypothesis is accepted. In this case, we state that the difference between the...
5.3K


