为10-18岁学生的青春期健康教育计划 (EPHEP-Scale) 设计,心理测量验证和网络分析评估规模
Ayoub Hamdan Al-Rousan1, Mohammad Nayef Ayasrah2, Mohamad Ahmad Saleem Khasawneh3
1Educational Psychology, The Hashemite University, Queen Rania Faculty for Childhood, Early Childhood Department, Zarqa, Jordan.
The Journal of school health
|August 8, 2025
概括
这项研究开发并验证了青春期健康教育计划的评估规模 (EPHEP-Scale),以衡量计划的有效性. EPHEP-Scale是评估青春期健康教育的可靠工具,支持更健康的青少年发展.
科学领域:
- 青少年健康 青少年健康
- 教育心理学教育心理学
- 心理测量 心理测量 心理测量
背景情况:
- 青少年的健康,特别是青春期的健康,需要有效的教育计划.
- 缺乏一个全面的工具来评估这些计划.
- 本研究通过开发和验证一个新的尺度来弥补这一差距.
研究的目的:
- 设计和心理测量验证青春期健康教育计划评估量表 (EPHEP-Scale).
- 为10-18岁的学生提供评估青春期健康教育有效性的工具.
主要方法:
- 采用了一种连续的探索性混合方法设计.
- 这项研究涉及来自四个阿拉伯国家的850名10-18岁学生.
- 探索图形分析 (EGA) 和网络分析被用于验证.
主要成果:
- EPHEP-Scale展示了一个强大的六因素结构:行为反射性,认知共振,变革性影响,人际联系性,情绪同步性和超级认知.
- 探索和确认因素分析证实了尺度的结构.
- 网络分析进一步支持了六因素模型,表明了尺度的可靠性和准确性.
结论:
- "EPHEP-Scale"是用于评估青春期健康教育计划的心理测量仪器.
- 它提供了一个全面的框架,以提高课程的有效性,并优化他们为不同的学生群体.
- 该尺度支持青少年心理,社会福祉和整体生活质量的改善.
相关概念视频
Self-Report Tests of Personality
454
Self-report inventories are objective personality assessments that use multiple-choice items or numbered scales, typically ranging from 1 (strongly disagree) to 5 (strongly agree). They are often called Likert scales after Rensis Likert. These inventories are widely used due to their ease of administration and cost-effectiveness. One of the most prominent examples is the Minnesota Multiphasic Personality Inventory (MMPI), initially developed in the 1940s to assess abnormal personality traits.
454
Self-Evaluation: Self-Enhancement and Self-Verification
5.3K
Social psychologists have documented that feeling good about ourselves and maintaining positive self-esteem is a powerful motivator of human behavior (Tavris & Aronson, 2008). In the United States, members of the predominant culture typically think very highly of themselves and view themselves as good people who are above average on many desirable traits (Ehrlinger, Gilovich, & Ross, 2005). Often, our behavior, attitudes, and beliefs are affected when we experience a threat to our...
5.3K
Data Validation
5.3K
Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
Nursing assessment guides are generally based on holistic models rather than medical...
5.3K


